Features of Selenium:

• Multi-Browser Compatibility.
• Multiple Language Support.
• Speed and Performance.
• Handling of Dynamic Web Elements.
• Easy to Identify and use web elements.

What is Java?

Java is a programming language and computing platform first released by Sun Microsystems in 1995.
It is a high-level, class-based, object-oriented programming language designed to have as few implementation dependencies as possible.

Features of Java:

• Java is platform-independent
• Automatic Memory location
• Robust
• Multithreaded
• Object-oriented
• Secured
• Distributed

Prerequisites to learn Selenium and Java:

• Should have a basic understanding of Java or any other object-oriented programming language.
• Basic Knowledge of knowledge C#, Java, Perl, PHP, Python, and Ruby.
• Should have knowledge about source code management tools like GIT and SVN.
• Good knowledge of Selenium Webdriver for web testing.
• Good knowledge of Selenium Webdriver for web testing.Web Technologies like HTML, CSS, XML, XPATH, DOM and JavaScript.

How Long Does it Take to Learn Selenium and Java?

Typically, Selenium and Java training by DevOpsSchool will let you master the concepts in about 2 months if you dedicate 2 to 4 hours per week. The training takes place in such a way that you become proficient in almost all concepts of Selenium and Java, can easily add certification to your resume.

How to Learn Selenium and Java?

The first thing you should do before learning Selenium and Java is to ask yourself how you learn best.

Do you prefer online tutorials, or do you prefer online courses? Do you want to work on projects as part of a team, or are you comfortable learning at your own pace? By considering this question in advance, you will be able to better understand what kind of material you should be looking for.

If you are planning to learn Selenium and Java, go with DevOpsSchool institute. Will provide you with online and classroom training and certification course Programs by an expert. To get in-depth knowledge of Selenium and Java along with its various applications, check out our interactive, live-online training.

Here you can see the Agenda of the Selenium and Java Course:

This course covers the basics of Selenium and Java, their main features. You will develop a critical understanding of why Prometheus and Grafana are useful and how they can be combined with other web development frameworks.

However, if you want to find out more details, be sure to check out our Prometheus and Grafana course to learn more about this technology.

The post What is Selenium, Java, and How to learn Online? appeared first on Artificial Intelligence.

What is TypeScript?

TypeScript is an open-source, typed superset of the JavaScript programming language. The typeScript was created by Microsoft in 2012 to make it easier for developers to build large, scalable applications. It is widely used by companies like Slack, Asana, and Microsoft.

These are the main differences between JavaScript and TypeScript:

• TypeScript offers static typing, whereas JavaScript offers dynamic typing.
• TypeScript uses types and interfaces.
• TypeScript supports optional parameter functions, whereas JavaScript does not.

What is TypeScript Used For?

TypeScript is a modern web development framework. It extends JavaScript with static type definitions. These definitions make it easier to describe how an object is structured, which increases the readability of the code.

This is because TypeScript only extends over JavaScript. It does not replace the framework. TypeScript code is converted to JavaScript code when it is compiled.

There is no need for a developer to convert their entire application to support TypeScript. At any time, TypeScript can be added to a client- or server-side application.

Because TypeScript is based on JavaScript, any transition will involve adding TypeScript code, rather than removing JavaScript code.

Features of TypeScript:

How Long Does it Take to Learn TypeScript?

Assuming that you study at least an hour a day, it takes about a month to learn the basics of TypeScript. Expect to spend at least six months studying TypeScript before developing the skills needed to apply it in a professional development setting.

The time it takes you to learn TypeScript depends on the amount of time you devote to study. If you study full time, you will be able to learn TypeScript faster than someone who is only studying part-time

Is TypeScript Hard to Learn?.

Learning TypeScript is a little more difficult than learning Javascript. This is because TypeScript extends on JavaScript and therefore you need to have a good understanding of how JavaScript works first. But, with some practice and time, you shouldn’t have any trouble learning TypeScript.

How to Learn TypeScript?

So, you have decided to learn TypeScript. This is a great option. But, how can you learn TypeScript fast?

• Learn HTML, CSS, and JavaScript – Because TypeScript is built on top of JavaScript, you’ll need to learn how to code in HTML, CSS, and JavaScript before getting started.
• Types – This is an essential component of TypeScript, hence the name of the language. In TypeScript, types can be assigned to variables when they are declared. It allows you to write more reliable and scalable code, and also enhances the readability of your programs.
• Variables and Commenting – Since TypeScript and JavaScript variables and comments work differently, you should explore these two topics in depth.
• Functions – TypeScript provides a number of enhancements to traditional JavaScript functions. In TypeScript, you can declare a function like you would in JavaScript. But, you can also use TypeScript types as function arguments.
• Object-Oriented Programming – TypeScript is an object-oriented programming language and adds a variety of new features to improve JavaScript’s object-oriented features. For example, you can create classes using the “class” keyword in TypeScript.

Prerequisites for Learning TypeScript:

Working knowledge of JavaScript, object-oriented programming, and the command lines is assumed. The only prerequisites are a code editor and npm, the Node.js package manager.

• You should have a good understanding of OOP concepts.
• Basic JavaScript
• Basic knowledge of ES2015 JavaScript

How to Learn TypeScript Online?

The first thing you should do before learning TypeScript is to ask yourself how you learn best.

Do you prefer online tutorials, or do you prefer online courses? Do you want to work on projects as part of a team, or are you comfortable learning on your own? By considering this question in advance, you will be able to better understand what kind of material you should be looking for.

If you are planning to learn TypeScript, go with DevOpsSchool institute. Will provide you online and classroom training and certification course Program by an expert. To get in-depth knowledge of TypeScript along with its various applications, check out our interactive, live-online training.

Here you can see the TypeScript Course Agenda:

This course covers the basics of TypeScript and its main features. You will develop a critical understanding of why TypeScript is useful and how it can be combined with other web development frameworks. You will learn about the basics of TypeScript and its advantages. Then, you’ll cover more advanced topics like integrating TypeScript with other frameworks.

Because TypeScript is so popular, there is an incredibly active community of developers who know how to code using TypeScript.

When you start learning TypeScript, you should try to join one or two developer communities. These communities are places where developers talk about their learning and answer each other’s questions.

Hopefully, I think this information is helpful for you.

The post What is TypeScript and How to Learn TypeScript Online? appeared first on Artificial Intelligence.

What Is Quality Assurance?

Quality assurance engineers make sure other developers meet their deadlines and notify other developers about issues in their code. Quality Assurance is the process of monitoring every step of the software development process. This ensures that the company’s software complies with its standards.

What Is Quality Assurance Used For?

The main purpose of quality assurance is to identify bugs and potential problems within the software. QA engineers then report these to other members of a software development team.

• Code automated testing
• Create software test plan
• Detect bugs or problems in a program
• Developing standards and policies to ensure high-quality code
• Identify any issues users are facing
• Do automated and manual testing

Types of QA:

Quality assurance engineers typically oversee system testing and feature testing. Here is the list of different types of QA engineers.

• System Testing: System testing is a form of quality assurance performed on a completed project. It is usually conducted at the end of the development process.
• Integration Testing: Integration quality assurance testing explores the different components of an application. First, it evaluates how the individual components. Then, each component is tested to see how the application as whole works.
• Feature Testing: Feature testing is a form of QA engineering that is performed before updating an application. This type of QA engineering examines how a new update affects an application.
• Usability Testing: QA engineers test the usability of a product before its release. Usability tests ensure that the product performs as per customer expectations.

The Life Cycle of automation QA Process:

QA Engineers Skills:

• Time management
• Problem-solving
• Multitasking
• Written and verbal communication
• Ability to work as part of a team
• Knowledge of quality standards

How to improve your quality assurance skills?

• Stay focused.
• Take ownership of your work.
• Undertake additional training
• Track areas of concern
• Schedule time for checks

QA Roles and Responsibilities:

The main role of quality assurance is quality assurance. A QA engineer focuses on improving software development processes and preventing defects in production.

Roles:

• Test Analyst: The test analyst is engaged in static testing of requirements and checks them for completeness and consistency.
• Test Designer: The Test Designer creates a set of tests based on the requirements and plan configuration required for the test.
• Test Executor: The test executor performs pre-planned tests, describes and documents errors found and takes steps to reproduce them.
• Test Manager: The test manager plans and monitors tasks related to testing such as adhering to deadlines, adhering to a schedule, controlling requirements for tests, scheduling tasks for team members, and communicating with stakeholders.

Responsibilities:

• Analyze and clarification of requirements with a customer or a business analyst
• Plan the process of testing
• Write test cases (test scripts)
• Conduct functional testing
• Identify problem areas, add them to a tracking system
• Discuss fixes with developers
• Track the life cycle of errors
• Re-test fixed defects
• Analyze testing

What Does a QA Engineer Do?

• Checking if the product complies with the requirements
• Assessing risks
• Planning ideas to improve product quality
• Planning tests
• Analyzing the test results

QA specialization includes many tasks so there are some sub-specializations such as quality control, software testing, and others.

The Best QA Courses and Training:

Online courses, which typically last between three and nine months, are intensive training programs. They offer students the skills necessary to pursue a career in the technology industry.

DevOpsSchool

DevOpsSchool offers online and classroom programs in Quality Assurance Engineering. Participants take part in a rigorous curriculum that is aligned with the demands of the market. For those who are looking for a change in their testing career and also for those who are planning to start their career in software testing.

The post How to Become a QA Engineer? appeared first on Artificial Intelligence.

What is a Full-Stack QA Developer?

A QA Developer working on all aspects of quality and using different testing methods to test their application is called a full-stack QA engineer. They will think about many different aspects of product quality, such as functionality, usability, performance, security, globalization, and so on.

They will be familiar with the test automation strategies and technologies. Full-stack QA Engineer has a rich blend of domain knowledge, technical skills, and testing expertise from a user-oriented perspective.

Why do we need a full-stack QA Developer?

The primary motivation for full-stack QA is the adoption of agile product development processes. As software updates are delivered more frequently, QA engineers have less time to complete all testing.

The QA Engineer must develop his skills to match the new technologies, testing techniques, and methodologies that are currently prevailing. A respected QA engineer with a range of skills can earn high salaries, enjoy job satisfaction, and have a successful career.

Role and Responsibilities:

A quality assurance specialist ensures that the final product adheres to the company’s quality standards.

• Analyze and clarification of requirements with a customer or a business analyst.
• Plan the process of testing.
• Write test cases.
• Conduct functional testing.
• Identify problem areas, add them to a tracking system.
• Discuss fixes with developers.

Typical Skills of Full-stack QA Developer:

• Strong knowledge of Agile methodology, software QA methodologies, tools, and processes.
• Ability to write test scenarios and test cases for manual testing.
• Ability to write unit and integration tests.
• Understanding of testing frameworks.

What full-stack QA engineers do?

A full-stack QA engineer needs to know the product thoroughly and understand how to test it from the user’s point of view.

• They should be involved in the early stages of the development of the feature so that they can share their advice and experiences from the testing and user point of view.
• A full-stack QA engineer needs to understand how users use the product and be concerned with its usability.
• A full-stack QA engineer will work with developers to understand the architecture of a feature, how it is implemented, and the technologies used.
• Full-stack QA engineers must think about testing efficiency. Investing in automation is key to repeatable testing. Tests can be their own and must be automated, but there must also be data or environment preparation, which is time-consuming and error-prone when done manually.

Once you have decided that software testing is what you are supposed to do, start learning from the fundamentals. What is software testing and where does it fit into the software development life cycle.

The post How to become a Full Stack QA Developer? appeared first on Artificial Intelligence.

Learning different skills in your career not only helps you stand out from the crowd but also sharpens your cognitive and behavioral abilities.

• It expands your perspective.
• It strengthens your confidence.
• It enhances your analytical skills towards complex issues.
• It brings out a communicative leader in you.

There is no doubt that the position of a full-stack developer allows a great deal of scope to improve oneself due to its majority role.

What is Full Stack Developer?

A full-stack developer is a professional who understands and masters the front-end, back-end, and databases of the web application.

You should be well versed with the elements of web development i.e. user interface and server-side. The functionality of a website or web application depends on two main elements known as front-end and backend.

What is Front-End Development?

Front-end development, also known as client-side development, is the element of a website that a user can view or interact with. This element gives visual functionality to one’s website or application.

What is Back-End Development?

Backend development, also known as server-side development, is an element that is not visible to the client. User interaction with the core functionality of the application of back-end development lies in creating smooth and hassle-free. Moreover, it is also responsible for the functionality behind the scenes to maintain the database and organizing and front-end.

A full-stack developer is an expert who handles the client-side as well as the server-side of a web application. They are part of the development team that works on all phases of the web application. They not only maintain the database, design, and backend operations of the application but also ensure an error-free development test and deployment of the application.

Roles of Full Stack Developer:

The primary responsibility of a Full Stack Developer includes designing user interactions on websites, developing servers and databases for website functionality, and coding for mobile platforms.

• Developing front-end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform adaptation for mobile phones.
• Ensuring accountability of applications.
• Working with graphic designers for web design features.
• Seeing through a project from conception to finished product.
• API design and development.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Full-Stack Developer Skills:

As mentioned above, a full-stack developer is not a multidisciplinary role. To excel in this role is essential, not just a formal degree, but a broad knowledge of a wide variety of skills. Diversity is the key to excellence and success in the profession of a full-stack developer.

• HTML and CSS: Hypertext Markup Language or HTML is a language for front-end technologies. It is used by developers to administer the format and visuals of text and images on websites.
• JavaScript: Whenever full stack developer skills are discussed no one can beat JavaScript behind. It is one of the dynamic languages used by developers for interactive and advanced front-end development. JavaScript with its complete integration with HTML, CSS, and adaptability across important browsers makes the work of JavaScript developers quite simple and efficient.
• Git and GitHub: Web development seems a bit incomplete without the presence of the infamous Git and GitHub.Git, a “distributed version control system” for developers, allows them to handle every small step in the development process. GitHub is a platform that allows developers to work on, manage, review multiple projects simultaneously.

Few languages requisite for backend development:

• Python: Along with frameworks including Django and Flask, Python is one of the most commonly used programming languages for backend development. The simplified syntax and diverse features allow it to be used for many high-level object-oriented and structured programming.
• Java: It is an innovative ‘class-based’ programming language used not only for web application development but also for mobile applications and desktop applications.
• PHP: A compatible programming language that is fast, flexible, and efficient. With features available for server-side scripting and adaptability on various operating systems such as macOS, Unix, and Windows, it is one of the most commonly used programming languages for backend development.
• Ruby: It is a programming language used for both backend web application development. The language is known for its simplified code, dynamic typing, and object-oriented principles.
• Web Architecture: A full-stack developer needs to upskill himself/herself to maintain his/her efficient responsibility. A full-stack developer to learn about web apps’ structural elements and user interfaces elements, such as DNS or Domain Name System, database servers, cloud storage, and more.
• Database Management Systems: there is a need for a perfect system to manage all the databases. For this, besides the programming languages, you should be well-versed with systems like Oracle, MySQL, SQLite, Microsoft Access, etc
• REST and SOAP: A full-stack developer should have expertise in working with Aristi and SOAP as web services or application program interface (API). These two web services will allow you to share data between two different systems making operations efficient and productive.

Soft Skills: As a full-stack developer, you have to manage multiple roles at once. In addition to this, your hard skills are also required to be proficient in many soft skills.

• Communication
• Multi-Tasking
• Manages Time
• Inquisitive
• Team Player
• Effective Leader

A full-stack developer must continue to upgrade themselves to be well aware of all the techniques and the role and responsibilities. Different companies have different preferences and hence, you should be aware of the popular stacks for building web applications.

Here are the FAQs on Full Stack Developer:

Is a full-stack developer a good career?

Yes, a full-stack developer is a good career option if you are handling the front-end as well as the back-end of the product application. In present times more and more employers are willing to hire such skilled workers with multiple skill sets. The career scope of a full-stack developer is full of opportunities for learning and growth.

What is the full-stack developer’s salary?

A full-stack developer salary in India is approximately ₹ 582,659 / year.

The post How to become a Full Stack Developer? appeared first on Artificial Intelligence.

It was developed by Robert Grisemr, Rob Pike, and Ken Thompson Google in 2007. But he launched in 2009 as an open-source programming language. It provides a rich standard library, garbage collection, and dynamic typing and provides support for the environment to adopt similar patterns of dynamic languages capacity.

Benefits of Golang:

• Garbage collection – Garbage collection, or automatic memory management, is a key feature of the Go language.
• Scalability – Go was created by Google, it was designed with scalability in mind. As applications grow, they need to handle many small subtasks at the same time, such as distributing HTML pages to different web browsers.
• Simplicity – Excellence in being simple and easy to understand. With a very short language specification document, Go strives to be both easy to read and write.

Go language promises code efficiency, which translates into faster software and apps for businesses. Companies that recognized the need for thin and efficient code have adopted Golang as the programming language of choice.

Features of GoLang:

Here are some notable companies that have migrated to using Golang:

• Google
• Apple
• Facebook
• Docker
• The New York Times
• BBC

What Is Golang Useful For?

Golang is useful for programming scalable servers and for large software systems. The Golang programming language was created to fill the gaps in C++ and Java that Google came up with when working with its server and distributed systems.

Is Golang The Future?

Golang is the future of web programming, as it allows you to perform all the tasks that other languages do separately.

Advantage of Golang:

• Golang Is Fast.
• Golang Is Easy To Learn.
• Golang Is Well-Scaled.
• Comprehensive Programming Tools.
• Growing Pool Of Talent.

The disadvantage of Golang:

• Lack of Function Overloading and Default Values for Arguments.
• Lack of Generics.
• Error Handling.
• Tools That Are Bundled with Go.

Why Golang?

Following are the reasons why Golang is the best for enterprise solutions:

Concurrency: Can handle millions of platform users.

Scalability: Grows with the business to handle several simultaneous tasks.

Errors Checks: Nil Malfunction at Go comes with a built-in-error comes with a built-in-error type

Compiled language: Fast Performance as it converts directly into machine-level code.

Garbage Collection: Boost App Speed as collection pauses are low 100 Microseconds.

Cross-Platform: Low investment as Golang performs well across various platforms.

The post What is Golang? appeared first on Artificial Intelligence.

What is Grafana?

Grafana is a general-purpose dashboard and graph composer. It focuses primarily on providing a rich way of visualizing time series metrics though graphs but supports other ways of visualizing data through pluggable panel architectures. It currently has rich support for Graphite, InfluxDB, and OpenTSDB. But supports other data sources through plugins.

What is Prometheus?

Prometheus is a system and service monitoring system. It collects metrics from configured goals at given intervals, evaluates rule expressions, displays results, and can trigger alerts if certain conditions are true.

Some of the features offered by Grafana:

• Create, edit, save & search dashboards
• Change column spans and row heights
• Drag and drop panels to rearrange

On the other hand, Prometheus provides the following key features:

• a multi-dimensional data model
• a flexible query language to leverage this dimensionality
• no dependency on distributed storage

Both are resolved the issues related to data.

Here are some key comparisons:

Visualizations and Editing of Data

Grafana being an open-source data visualization tool is rich in features related to the visualization of time-series metrics. Plus, it provides additional options such as plugins to help its users visualize their data.

On the other hand, Prometheus has to rely on console templates for visualization. It can graph data but has to rely on Grafana for a complete framework like queries and dashboards.

Key Performance Metrics

Performance can be measured by the following parameters – Grafana

• Grouping: Only essential data is presented according to your screen resolution and panel size of the graph.
• Using stepwise Loading: In order to reduce slowdown when the graph is loading, the important graphs need to be prioritized, and other graphs need to be collapsed.

And Performance can be measured by following parameters – Prometheus

• Optimization of memory usage and data bytes and bits are commonly called blocks.
  Improved WAL replay.
• Compaction no longer stores symbols and postings in memory thereby boosting performance.

Memory Utilization

Grafana is only a visualization tool. It is not competent at handling data storage.

Prometheus takes the lead here. It excels at storing time-series data and organizing them with the required price tagging.

Supported Data Sources

Grafana supports the following data sources:

• AWS CloudWatch
• Azure Monitor
• Elasticsearch
• Google Stackdriver
• Graphite
• InfluxDB

In Prometheus, data metrics are collected from monitored targets by scraping HTTP endpoints.
Prometheus can do both data collection and visualization of the same.

Key Strengths

The key strengths of Grafana:

• Creating custom dashboards.
• Analytics and monitoring tool.
• Integration with tools like Prometheus, Graphite, InfluxDB, MySQL.
• Visualizing system CPU, memory, I/O utilization metrics.

The key strengths for Prometheus:

• Efficient storage.
• Supports machine-centric and service-oriented architecture monitoring.
• Availability of viewing statistics of a system.

Grafana and Prometheus: Which is Better?

Breaking down complex data in an understandable way would be the first choice for any organization.

Unlike Prometheus, Grafana offers maximum options to break down data into an understandable form. Its feature of supporting multiple databases, it helps in making better sense of the data.

Prometheus specializes in event monitoring and has very little to do with the visualization part. Even it has to rely on Grafana for better optimization of the data.

From the above discussion, it becomes quite clear that when it comes to doing full justice to the data then Grafana would be a better option.

Difference between Grafana vs Prometheus through Tabular form:

The post What is the difference between Grafana and Prometheus? appeared first on Artificial Intelligence.

1. Product Manager Is Top IT Job

What is Product Manger?

A product manager is a professional role that is responsible for the development of products for an organization known as the practice of product management.

How to become a product manager?

There are some tried and proven records techniques that will help you become an effective product manager. Some of these are:

• Work on Your Project Management Skills.
• Focus on Your Team Management Skills
• Use a Project Management Software
• If Your Team is Agile Focused
• Look Up Some Project Management Blogs

Roles and responsibilities:

• Direct all project management phases.
• Set and manage project expectations with external and internal stakeholders.
• Develop professional business relationships
• Create and continuously update the project documentation.
• Establish effective communication
• Conduct project status meetings, daily stand-ups, and retrospective meetings.
• Continuously follow up on the progress, risks, and opportunities of the project

Skills:

• Solid understanding of business cases and risk management processes
• Expert knowledge to meet specific circumstances
• Proven project management and self-management skills
• Strong leadership skills
• Ability to monitor and control budgets

Salary of Product manager

Average salary for a Product Manager is ₹1,500,000 in India and $1,11,921 in US.

2. Artificial Intelligence (AI) Engineer

What is Artificial Intelligence (AI)?

Artificial Intelligence machines, especially the simulation of human intelligence processes by computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition and machine vision.

How to become a Artificial Intelligence (AI)?

Professionals who are looking for ways to become AI engineer should be aware of the required in this field.

• Programming Skills
• Spark and Big Data Technologies
• Algorithms and Frameworks
• Communication and Problem-solving Skills

Roles and responsibilities:

• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

Skills:

• Analytic Problem-Solving
• Effective Communication
• Creative Thinking
• Industry Knowledge

Salary of Artificial Intelligence Engineer

The average annual salary of an AI engineer is $114,121 in the United States and ₹765,353 in India.

3. Data Scientist

What is Data Scientist?

Data scientists are big data wranglers, collecting and analyzing large sets of data, both structured and unstructured. The role of a data scientist combines computer science, statistics and mathematics. They interpret the results to analyze the data, the process model, then companies and other organizations to create actionable plans.

How to become Data Scientist?

The first step to becoming a data scientist is typically earning a bachelor’s degree in data science or a related field, but there are other ways to learn data science skills such as a bootcamp or through the military. You may also consider pursuing a specialization or certification or earning a master’s degree in data science before getting your first entry-level data scientist job.

Role and Responsibilities:

• Solving business problems through undirected research and framing open-ended industry questions
• Employ sophisticated analytical methods, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling
• Perform exploratory data analysis (EDA) to determine how to handle missing data and to look for trends and/or opportunities
• Discovering new algorithms to solve problems and build programs to automate repetitive work

Skills:

• Python, SQL, Scala, Java, R, MATLAB
• Natural Language Processing, Classification, Clustering, Ensemble methods, Deep Learning
• MongoDB, Oracle, Microsoft Azure, Cloudera

Salary of Data Scientist

The average data scientists salary is ₹698,412 in India and $119420 in US per year.

4. Robotics Engineer

What is Robotics?

Robots are widely used in industries such as automobile manufacturing to perform simple repetitive tasks, and in industries where work must be done in environments hazardous to humans.

How to become Robotics Engineer?

• Candidates can pursue diploma, bachelors and master courses in this field.
• Master of Technology (M.Tech) in Robotics Engineering
• Bachelor of Engineering (BE) in Robotics
• Master of Technology (M.Tech) in Automation & Robotics

Skills:

• Systems Thinking.
• The Programming Mindset.
• Active Learning.
• Mathematics.
• Science or other Applied Mathematics.
• Judgment and Decision Making.
• Good Communication.

Salary of Robotics Engineer

In India, as a Robotics Engineer you can easily earn a starting salary between Rs.3 to 4 lacs per year. In the USA, the average salary for a Robotics Engineer is $81 k per year.

5. Data Analysts

What is Data Analysts?

Analytics brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders and other executives in the organization to make more informed decisions.

How to become a Data Analysts?

• Earn a bachelor’s degree in a field with an emphasis on statistical and analytical skills, such as math or computer science.
• Learn important data analytics skills.

Responsibilities of a Data Analyst

• Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.
• Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
• Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
• Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.

Skills:

• Structured Query Language (SQL)
• Microsoft Excel
• Critical Thinking
• R or Python-Statistical Programming
• Data Visualization
• Presentation Skills
• Machine Learning

Salary:

The average salary for a Data Analyst is ₹5,20,000 in India and in US $70039 per year.

6. Blockchain Engineer

What is Blockchain Engineer?

Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. A blockchain is essentially a digital ledger of transactions that are duplicated and distributed across a network of computer systems on the blockchain.

How to become Blockchain Engineer?

• Get through knowledge about Blockchain Basics
• Learn How the Blockchain Architecture Works
• Have an In-Depth Understanding and Applicative Sense of the Data Structures
• Be Advanced Cryptography Master
• Know the Basics of Front-End and Back-End Web Development

Roles and Responsibilities:

• Research, design, develop, and test blockchain technologies.
• Brainstorm and help evaluate applications for new tools and technologies as they continually evolve.
• Maintain and extend current client- and server-side applications responsible for integration and business logic.

Skills:

• Cryptography.
• Smart Contracts.
• Data Structures.
• Blockchain Architecture.
• Web Development.

Salary of Blockchain Engineer

The salary of a Blockchain Developer in India ranges anywhere between Rs. 5,00,000-30,00,000 LPA and US $10,000-12,000 per year.

7. Internet of Things (IoT) Solutions Architect

What is Internet of Things (IoT) Solutions Architect?

An IoT solutions architect is a professional role involved in developing practical uses and applications of internet of things technology. The IoT solutions architect typically works with engineers and salespeople to facilitate process development.

How to become Internet of Things (IoT) Solutions Architect?

You can opt to take the course by yourself or find a training partner. After completing the six modules of the course, you’ll need to take a 60-minute exam, which has 25 multiple-choice questions, to earn the certification.

• Learn good Internet of Things Data Management practices.
• Develop communication and leadership skills.
• Become an expert in differing technologies.

Role and Responsibilities:

• An IoT solutions architect is a professional role involved in developing practical uses and applications of internet of things technology. The IoT solutions architect typically works with engineers and salespeople to facilitate process development.
• responsibilities;
• To research, build, test, and document state-of-the-art IoT solutions with integrated electronics and firmware development.
• To develop local IoT device software that includes monitoring, execution, and self-healing processes.
• To design innovative IoT services that communicate with server-side technologies and develop MEAN stack solutions wherever necessary.

Skills:

• Machine learning and Artificial Intelligence.
• JavaScript and Python.
• Knowledge about how sensors work.
• UI-centric Approach.
• Node.js Development.
• Big Data.
• GPS systems.
• Cloud Computing.

Salary of Internet of Things (IoT) Solutions Architect in India and US?

While IoT professionals get a median salary of Rs. 15.2 LPA, the median salary of IT professionals is around RS. 8.65 LPA. The average salary for a IoT engineer is $123,135 per year in the United States.

8 Big Data Engineer

What is Big Data Engineer?

The person that is in charge of the design and development of data pipelines is known as a Big Data Engineer. They are the brains behind the data collection from various sources, and these are sets of organized data for analysts and data scientists. Big Data Engineers are considered to be in demand, and they are. On the FieldEngineer.com platform, there is a range of options for a Big Data Engineer, including the details of the salary for a Big Data Engineer.

How to become a Big Data Engineer?

If you plan to be a big data engineer, you will need to have a Bachelor’s degree in computer science, software engineering, mathematics, or a different IT degree. Alongside the degree, a big data engineer needs to have a range of technical skills and knowledge to ensure that they can be successful in their role. So, from SQL, Python, and a variety of cloud platforms, the right knowledge can help an aspiring big data engineer succeed. Once your degree is achieved, there are a number of certifications that you can earn to continue your education.

Role and Responsibilities:

• Designing the architecture of a big data platform.
• Maintaining data pipeline.
• Customizing and managing integration tools, databases, warehouses, and analytical systems.
• Managing and structuring data.
• Setting up data-access tools for data scientists.

Skills:

• Machine learning (ML).
• Hadoop.
• Java.
• Python.
• Apache Kafka.
• Scala.
• Cloud computing

Salary for Big Data Engineer in India and US?

The national average salary for a Big Data Engineer is ₹7,87,020 in India.
The average salary for a data engineer is $127,890 per year in the United States.

9. Cloud Architect

What is a Cloud Architect?

Cloud architecture is how individual technologies are integrated to create clouds—IT environments that abstract, pool, and share scalable resources across a network. Cloud architecture is how all the components and capabilities necessary to build a cloud are connected in order to deliver an online platform on which applications can run.

How to become a cloud Architect?

A candidate with a degree in Computer Science/ Information Technology/ Cloud Computing or relevant discipline is preferred for the position of a Cloud Engineer. There are also various institutes/ educational training centers that offer a certification course in Cloud Computing. Candidates with any degree can participate in the certificate course to acquire relevant knowledge to pursue a career as a Cloud Engineer.

Role and Responsibilities:

• Establishing best practices for cloud usage within an organization
• Discussing real business problems and identifying opportunities with cloud technologies
• Overseeing governance, AKA the rules and standards the cloud environment must abide by.
• IT security task to monitor privacy and develop incident response procedures.
• Plans to mitigate any risks that security and governance might have helped identify.

Skills:

• Experience in working with AWS and other cloud providers
• Knowledge of MySQL
• Programming skills in Java
• Network administration skills
• Knowledge of open-source tools such as Kubernetes and Docker
• Skills in data storage and security
• Experience in working with projects

Salary of Cloud Architect:

The average base salary of cloud architects in India is in the range of Rs 1,600,000 per annum.
The average Cloud Architect salary in the United States is $133516 per annum.

10. Cybersecurity Specialist

What is a Cybersecurity Specialist?

Cybersecurity specialists work on IT teams that are dedicated to protecting the integrity of the business’s network and data. Traditionally, network operations and IT technology supplemented the core business. But increasingly, the success of a business relies on the success and capability of its network. As a result, employees dedicated full time to cybersecurity have gone from being a luxury to a necessity.

How to become a Cybersecurity Specialist?

Bachelor’s degree in Computer Science, Information Technology, Systems Engineering, or a similar field.
Two years of work experience in Cyber Security related duties such as incident detection and response, and forensics. Or, gain equivalent experience with relevant industry certifications. Pursue an entry-level position in general IT or security. Earn a mid-level role as a security administrator, analyst, engineer or auditor.

Role and Responsibilities:

• Monitor network and application performance to identify and irregular activity
• Perform regular audits to ensure security practices are compliant
• Deploy endpoint detection and prevention tools to thwart malicious hacks
• Set up patch management systems to update applications automatically
• Implement comprehensive vulnerability management systems across all assets on-premises and in the cloud

Skills:

• Strong IT skills and knowledge including hardware, software and networks
• Meticulous attention to detail
• Ability to use logic and reasoning to identify the strengths and weaknesses of IT systems
• A forensic approach to challenges
• A deep understanding of how hackers work and ability to keep up with the fast pace of change in the criminal cyber-underworld
• Ability to seek out vulnerabilities in IT infrastructures

Salary of Cybersecurity:

The average cybersecurity experts’ salaries in India have grown to INR. 8.8 lakh. And average salaries in the United States range from $69,123 to $76,336 per year.

11. Cloud Engineer

What is a Cloud Engineer?

A cloud engineer takes care of any system or application that has to do with the so-called cloud.
The cloud, of course, refers to all servers that any user can access over the Internet, including all the software or applications that run on them.
A cloud engineer is thus someone who takes care of an organization’s cloud computing needs that encompass design, planning, development, management, maintenance, and support.

How to become a Cloud Engineer?

Cloud engineers typically start with their four-year degrees in an information technology field, and the following steps the basic path to take to become a cloud engineer, Obtain your bachelor’s degree, Learn programming languages, Gain hands-on experience, Consider a master’s degree, Get certified in a cloud-based discipline.

Role and Responsibilities:

• Cloud engineers are IT professionals who design, implement, and manage cloud-based systems for businesses. They develop and implement cloud-applications, migrate existing on-premise applications to the cloud, and debug cloud stacks.
• Planning, design and development of an application on Cloud

Skills:

• Networking.
• Virtualization.
• Linux.
• Security and Disaster Recovery.
• Web Services And API.
• DevOps.

Salary of Cloud Engineer:

The average salary for a cloud engineer is ₹ 9,73,912 per year in India and $119,295 per year in the United States.

12. Data Architect

What is a Data Architect?

A data architect is an individual who is responsible for designing, creating, deploying and managing an organization’s data architecture. Data architects define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.

How to become a Data Architect?

To become a data architect, you should start with a bachelor’s degree in computer science, computer engineering or a related field. Coursework should include coverage of data management, programming, big data developments, systems analysis and technology architectures.

Role and Responsibilities:

• Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
• Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
• Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
• Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
• Planning and execution of big data solutions using technologies such as Hadoop. In fact, the big data architect roles and responsibilities entail the complete life-cycle management of a Hadoop Solution.

Skills:

Skills Needed to Data Architect
Applied math and statistics. Data visualization and data migration. RDMSs (relational database management systems) or foundational database skills. Database management system software, especially Microsoft SQL Server.

Salary of Data Architect:

The average salary for a Data Architect is ₹20,00,000 per year in India and $1,16,337 per year in United States.

13. Data Scientist

What is Data Scientist?

Data scientists are big data wranglers, collecting and analyzing large sets of data, both structured and unstructured. The role of a data scientist combines computer science, statistics and mathematics. They analyze, process and model the data and then interpret the results to create actionable plans for companies and other organizations.

How to become a Data Scientist?

• Pursue an undergraduate degree in data science or a closely related field
• Learn required skills to become a data scientist
• Consider a specialization
• Get your first entry-level data scientist job
• Review additional data scientist certifications and post-graduate learning
• Earn a master’s degree in data science

Role and Responsibilities:

The role of a data scientist combines computer science, statistics and mathematics. They analyze, process and model the data and then interpret the results to create actionable plans for companies and other organizations.

• Solving business problems through undirected research and framing open-ended industry questions
• Extract huge volumes of structured and unstructured data. They query structured data from relational databases using programming languages such as SQL. They gather unstructured data through web scraping, APIs, and surveys.
• Employ sophisticated analytical methods, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling
• Thoroughly clean data to discard irrelevant information and prepare the data for preprocessing and modeling
• Perform exploratory data analysis (EDA) to determine how to handle missing data and to look for trends and/or opportunities

Skills:

• Python Coding.
• Hadoop Platform.
• SQL Database/Coding.
• Apache Spark.
• Machine Learning and AI.
• Data Visualization.

Salary of Data Scientist:

The average data scientists salary is ₹698,412 and $119696 per year in United States.

14. Data Security Analyst

What is a Data Security Analyst?

Data security analysts work to protect a company or organization’s computer systems and networks. They are often the only individuals standing between hackers and a company’s networks, and their talents are in great demand at this moment.

How to become a Data Security Analyst?

A data security analyst is typically required to have a bachelor’s degree in computer information systems, computer science, or engineering, A few employers insist on prior cybersecurity knowledge, for which you need to undergo specialized training.
In exceptional situations, employers may consider a person with post-secondary qualifications. A data security analyst should be creative, honest, and be capable of working in teams and leading them.

Roles and Responsibilities:

• Keep track of antivirus effectiveness, updates, and renewals.
• Implement data encryption while transferring data. Stop unsafe data transmission and carry out confidential data transfers with firewall protection.
• Asses risk and efficiency of data processing systems.
• Rectifying errors
• Adding new software

Skills:

• Information Security Analyst Skills List
• Analytical ability.
• Administering Information Security Software and Controls.
• Analyzing Security System Logs, Security Tools, and Data.
• Communicating Up, Down, and Across All Levels of the Organization.
• Communication.
• Creating, Modifying, and Updating Intrusion Detection Systems (IDS)

Salary of Data Security Analyst:

The average Data Security Analyst I salary in India is ₹603,094 and $69,456 per year in United States.

15. Information Systems Security Manager

What is a Information Systems Security Manager?

Information systems security managers (sometimes called IT security managers) coordinate and execute security policies and controls, as well as assess vulnerabilities within a company. They are responsible for data and network security processing, security systems management, and security violation investigation.

How to become a Information Systems Security Manager?

• It is important for candidates to have a 10+2 passing certificate with at least 50% marks in aggregate.
• Candidates must have Computer as a major subject in their 12th boards.
• For some institutions, candidates may have to face an entrance examination depending upon the eligibility criteria of that particular institution.

Role and Responsibilities:

• Monitor all operations and infrastructure
• Maintain all security tools and technology
• Monitor internal and external policy compliance
• Monitor regulation compliance
• Work with different departments in the organization to reduce risk

Skills:

• Practices and methods of security architecture, enterprise architecture and IT strategy
• Security architecture definition and development
• Security concepts related to routing, DNS, VPN, authentication, DDOS mitigation technologies/tools and proxy services
• Firewall and other security tools and technologies
• Intrusion prevention and detection protocols

Salary of Information Systems Security Manager

The average salary for the role of Information Security Manager is in India is ₹1,400,000 and $63,903 per year in the United States.

16. Site Reliability Engineer

What is a Site Reliability Engineer?

The site reliability engineering (SRE) while working at Google. He made his software engineering team responsible for some ops tasks, creating the concept of SRE and helping to resolve issues between development and operations.

How to become a Site Reliability Engineer?

To pursue a career as a Site Reliability Engineer, you will need to complete a bachelor’s degree program. Most employers prefer individuals with a degree in Computer Science. This means your pre-university education will focus on computer and the knowledge of computers.

Role and Responsibilities:

• Develop and manage scalable, secure and stable systems
• Conduct Incident analysis
• Analyze performance and create improvement plans
• Monitor efficiency systems
• Manage risks

Skills:

• Software Engineering.
• Troubleshooting Support Escalation.
• On-Call Process Optimization.
• Documenting Knowledge.
• Optimizing SDLC (Software Development Life Cycle).
• Site Reliability Engineering Salary.

Salary of Site Reliability Engineer:

The average salary for a Site Reliability Engineer is ₹11,66,914 per year in India and $131,499 per year in the United States.

17. Software Engineer

What is a Software Engineer?

Software engineers create the programs which turn computers into useful machines that can, among other things, send email, search the world wide web, make video calls and run industrial robots. By making the software which tells computers what to do, software engineers play a central role in the ongoing digital revolution. Software engineers are employed by organizations in a wide range of industries, but in this profile focus on those employed by large technology companies such as Google, Facebook and Apple.

How to become a Software Engineer?

• Pursue a technical degree or software engineering courses.
• Practice your coding skills.
• Create projects and samples of your skills on a development platform.
• Get certified.
• Be ready and willing to teach yourself new things.
• Practice your coding skills some more.

Role and Responsibilities:

• Researching, designing, implementing, and managing software programs
• Testing and evaluating new programs
• Identifying areas for modification in existing programs and subsequently developing these modifications
• Writing and implementing efficient code
• Determining operational practicality

Skills:

• Communication.
• Teamwork.
• Computer programming and coding.
• Problem-solving.
• Multitasking.

Salary of Software engineer:

The average salary for a Software Engineer in India is ₹562071 and $104,623 per year in the United States.

18. Computer Systems Analyst

What is a Computer Systems Analyst?

Computer systems analysts, sometimes called systems architects, study an organization’s current computer systems and procedures, and design solutions to help the organization operate more efficiently and effectively.

How to become a Computer Systems Analyst?

A person aspiring to become a system analyst must have done his Bachelor’s Degree in Information Science, Computer Science or any other field related to Computer. Some of the companies also prefer the candidates who have done in Masters in Computer Science or MBA with a concentration in Information systems.

Role and Responsibilities:

• Research and evaluate new technologies
• Consult with clients
• Identify the organizational needs of IT systems
• Analyze costs and benefits
• Add new functionality to systems

Skills:

• Strong analytical skills.
• Attention to detail.
• Teamwork skills.
• Written and verbal communication skills.
• Interpersonal skills.

Salary of a Computer Systems Analysts:

The average salary for a Computer Systems Analyst in India is ₹457066 and $74,242 per year in the United States.

19. Database Manager

What is Database Manager?

A database manager (DB manager) is a computer program, or a set of computer programs,
that provide basic database management functionalities including creation and
maintenance of databases.

How to become a Database Manager?

• Earn a bachelor’s degree.
• Get work experience.
• Learn key computer languages.
• Master computer programs and platforms.
• Pursue software vendor certification.

Roles and responsibility of database manager:

• Overlooking database design
• Training and managing junior staff in your team
• Setting up and testing new database and data handling systems
• Monitoring database efficiency
• Designing and preparing reports for management
• Developing protocols for data processing

Skills of database manager:

Database skills are abilities and knowledge that are required for database related roles such as database development and database administration. Skills may also be related to a particular aspect of databases such as database architecture or security.

• Strong analytical and organizational skills
• Eye for detail and accuracy
• Ability to understand business needs
• Strong leadership skills
• Understanding of structured query language (SQL)
• Knowledge of ‘relational database management systems’ (RDBMS), ‘object oriented database management systems’ (OODBMS) and XML database management systems.

Salary of database manager

The average DBA salary in India is around ₹ 5 Lakh Per Annum.

20. Full Stack Engineer

What is full Stack Engineer?

A full-stack developer is a web developer or engineer who works with both the front and back ends of a website or application—meaning they can tackle projects that involve databases, building user-facing websites, or even work with clients during the planning phase of projects.

Full stack engineers are highly skilled experts in the world of web, application, and software development. Full stack engineers work with a range of technologies and languages such as JavaScript, HTML, and SQL to develop applications that cater to both user experience and functionality.

How to become a full stack engineer?

He should focus on is the real personal ability and technology.

• Learn the necessary programming languages.
• Refine the knowledge.
• Become familiar with all technologies but a master of one.

Roles and Responsibility of full stack engineer:

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.

Skills of full stack engineer:

• HTML/CSS
• JavaScript
• Git and GitHub
• Database storage
• Basic design skills
• NPM
• Soft skills

Salary of full stuck engineer

A full stack developer salary in India for a fresher is ₹375,000 and $107,295 per year in the United States.

21. Senior Web Developer

What is senior web developer?

A senior developer knows how to implement design patterns, can make architectural decisions, has the ability to write proper tests, and keeps security and performance in mind. Although senior developers need to have a good understanding of how code is written this is certainly not the only sign of a senior developer.

How to become a senior web developer?

• Degree in computer science, IT, or similar.
• 3-5 years of experience in web development.
• Practical experience with content management systems.
• Experience with wireframe and diagnostic tools.
• Leadership and management skills.
• Excellent customer service and research abilities.
• Willingness to work overtime when required.
• Superb interpersonal, and written and verbal communication skills.

Roles and responsibility of senior web developer:

• Interpreting client specifications and identifying website user requirements.
• Creating timeframes and work schedules to meet deadlines.
• Communicating effectively with clients and teams.
• Building a network of freelance designers and content writers.
• Updating records and writing reports.

Skills of senior web developer

• Work experience as a Senior Web Developer.
• Expertise in at least one programming language, preferably JavaScript, Ruby or PHP.
• Solid knowledge of HTML/CSS.
• Experience with mockup and UI prototyping tools.
• Understanding of security practices.
• Familiarity with network diagnostics tools.
• Team management skills.

Salary of senior web developer

The average salary for a Senior Web Developer is ₹37,281 in India and $99,606 per year in the United States.

22. Computer Hardware Engineer

What is computer hardware engineer?

A computer hardware engineer is responsible for developing and designing electronic products, such as circuit boards, processing units, computer chips, modems, keyboards, printers, memory and storage devices, data switches, and other mechanical and electrical components of systems.

How to become a computer hardware engineer?

In order to become a computer hardware engineer, you must, at minimum, have a bachelor’s degree in computer engineering. The majority of job offers and employers in the industry demand this as a minimum qualification for employment. Courses in hardware and networking can also be pursued.

Roles and responsibility of computer hardware engineer:

• Design and oversee the production of computer hardware equipment.
• Test and re-test parts to ensure they work properly.
• Identify and isolate defects.
• Design and develop software systems that control computers.
• Design and test circuits and other electronic components.
• Test work and refine processes.

Skills of computer hardware engineer:

• Reading—Understanding written sentences and paragraphs in work related documents.
• Solving Complex Problems—identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
• Evaluating a System or Organization—Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
• Writing—Communicating effectively in writing as appropriate for the needs of the audience.
• Thinking Critically—Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
• Learning New Things—Understanding the implications of new information for both current and future problem-solving and decision-making.

Salary of computer hardware engineer

The average salary for a Computer Hardware Engineer is ₹5,15,600 per year in India and $104,538 per year in the United States.

23. Mobile Applications Developer

What is Mobile Applications Developer?

A mobile Applications developer is a software engineer who works primarily with mobile devices, creating, programming, testing, and maintaining apps and mobile platforms across devices like smartphones, tablets and laptops.

How to become a Mobile Applications Developer?

• Using Mobile App Development Software.
• Practice Your Skills
• Develop an App Idea.
• Lay Out the Details of the App
• Test Your App
• Convert to Other Platforms

Role and Responsibilities:

• App coding, testing, debugging, documenting and monitoring.
• Interacting with different departments within the organization regarding new deployments.
• Contributing to the development of project schedules and workflows.
• Identifying areas for modification in existing programs and subsequently developing these modifications.
• Writing and implementing efficient code.
• Researching, designing, implementing, and managing software programs.

Skills:

• Programming languages such as C#, Java, Objective-C.
• Strong organisational skills.
• Mathematical aptitude.
• Drive to keep up to date with developments and trends in the tech and modern media world.
• The ability to learn quickly.
• The ability to interpret and follow technical plans.

Salary of Mobile Applications Developer:

The average salary for a Mobile App Developer is ₹21,516 per month in India and $96,563 is United States.

24. Systems Engineer

What is system engineer?

Systems engineering is an interdisciplinary turf of engineering and engineering management that centers around on how to design and manage composite systems over their life cycles. The systems engineer plays a vital role in the multi-dimensional computer world.

How to become a system engineer?

The first step to become a system engineer is typically earning a bachelor’s degree in system’s engineering then complete a Master’s degree and gain experience. Now obtain the professional engineering(PE) license, aim at professional certification and consider Ph.D.

Role and Responsibilities:

A systems engineer designs, implements and maintains the infrastructure necessary to run traditional client/server platforms, mainframes and web applications. This role includes installing and supporting software, debugging multiple systems and supporting an enterprise’s users. This specialist also performs high-level root cause analysis for service interruption recovery and implements preventive measures.

Skills:

• Agile Methodologies.
• Linux System Administration.
• Software Development.
• Enterprise Architecture.
• MS SQL.
• Relational Database Management.
• Servers.
• Unix.

Salary of a system engineer:

The average salary for a Systems Engineer is ₹4,40,000 in India and $97,440 per year in the United States.

These are just some of the highest-paying IT jobs listed in 2021. With a good jobs demand in Future.

The post Top 24 High Paying Jobs Profile in the IT industry in 2021 appeared first on Artificial Intelligence.

PHP

PHP is a server side scripting language. that is used to develop Static websites or Dynamic websites or Web applications. PHP stands for Hypertext Preprocessor, that earlier stood for Personal Home Pageskfःf (recursive acronym for PHP: Hypertext Preprocessor) is a widely-used open source general-purpose scripting language that is especially suited for web development and can be embedded into HTML.

Laravel

Laravel is a PHP based web framework for building high-end web applications using its significant and graceful syntaxes. It comes with a robust collection of tools and provides application architecture. Noreover, it includes various characteristics of technologies like ASPknet MVC, Codeigniter, Ruby on Rails, and Many More. This framework this exclusive open-source framework.

What are the Objectives for PHP with Laravel?

• Understand PHP concepts
• You will learn to create clean URL’s and remove the .php from files
• You will learn to use bootstrap by getting experience from the project
• You will learn to debug your code
• You will learn to create pagination
• You will code refactoring
• You will learn to debug (fix your code)
• You will learn to use an API to bring data from a database to a graphical interface
• There is so much more and my hands are just tired of typing :

Pre-requisites

• Some basic knowledge of HTML, CSS, JavaScript and Basic MySOL.
• Some basic knowledge of Internet and its terms.
• To write php code need text editor like, Notepad++, Visual Studio Code, Sublime Text etc.
• XAMPP or WAMPP as local server to run the php code.

Agenda of PHP with Laravel

Introduction – PHP

• Introduction
• Intended Audience
• History of PHP
• What’s Possible?
• Sample Programs
• Reserved Keywords

General/Data Type

• What are the basic commands in Selenium?
  • Intended Audience
  • History of PHP
  • What’s Possible?
  • Sample Programs
  • Reserved Keywords

Functions

• What Is a Function?
• Creating a Function
• Calling a Function
• Passing Parameters
• Default Parameters
• Returning Values
• Variable Functions
• Variable Scope
• Global Variables

String

• Single Quoted Strings
• Double Quoted Strings
• Here Document
• print()
• Changing Case
• strlen()
• strpos()
• str_replace()
• substr()
• str_split()

Arrays

• overview
• About Arrays
• Indexed Arrays
• Associative Arrays
• array_key_exists()
• in_array()
• array_push()
• array_pop()
• unset()
• Sorting Arrays
• count()
• Foreach Loop
• Multi-dimensional Array

Classes & Object

• Creating a Simple Class
• Creating an Object
• Creating Properties
• Accessing Properties
• Creating Constants
• Accessing Constants
• Creating Methods
• $this
• Accessing Methods
• Constructors
• Initial Parameter Passing
• Inheritance
• Protected Properties
• Private Properties
• Static Properties & Methods
• Scope Resolution Operator ::
• Include File
• Require File

Operators and Control Structures

• Arithmetic Operators
• Incrementing/Decrementing Operators
• Assignment Operators
• String Operator
• Comparison Operators
• Spaceship Operator
• Logical Operators
• If Statement
• Else If
• Switch Statement
• Ternary Operator
• Null Coalesce Operator
• While Loop
• For Loop

Database

• Possible Databases
• PDO vs. MySQli
• Setting up MySQL on Windows
• Creating a Database and Table with phpMyAdmin
• Connecting to Database
• Close Database Connection
• Executing a Query – Delete, Update, Insert
• Grabbing Inserted Id
• Select Data From Database
• Prepared Statement Example
• PDO Example

Web Programming

• Setup Web Site Location – Linux
• Setup Web Site Location – Windows
• Web Site Structure and Layout
• Shorten Syntax with HTML
• $_GET
• $_POST
• Form Validation
• session_start()
• $_SESSION
• session_destroy()

PHP – TOAST

• Setup Web Site Location – Linux
• Setup Web Site Location – Windows
• Web Site Structure and Layout
• Shorten Syntax with HTML
• $_GET
• $_POST
• Form Validation
• session_start()
• $_SESSION
• session_destroy()

Building the LAMP Stack

• Introduction
• Installation
• Alternatives
• Accessing Form Data with PHP
• HTML forms
• Demo: Creating a Form
• Accessing Form Data with PHP
• Validating User Input
• Demonstration — Input Validation

The Lending Library’s Database

• Designing the Database
• Creating and Populating the Database
• Querying and Updating the Database
• Accessing a Database from PHP

Introducing PDO

• Connecting to the Database
• Book Search Demonstration
• Quoting and Input Validation
• Mysqli

Doing More with the Database

• Using Prepared Statements
• Non-queries and Summary Functions
• Creating and Using Stored Procedures and Functions

Maintaining State in Web Applications

• The Problem of Maintaining State
• PHP Sessions
• Using Hidden Fields
• Using Cookies
• The Library: User Preferences and Shopping Carts

RESTfull Web Services With PHP and Laravel

• Introduction
• Course Structure
• What are RESTful Services?
• Demo Overview
• Postman Setup & Demo
• Demo: Course Project
• Refresher on RESTful Services
• Refresher on Laravel & Setting Laravel Up
• Demo: Course Project Setup
• Cross-origin Resource Sharing (CORS)
• Wrap Up

Introduction – Laravel

• What is Laravel?
• MVC vs Non-MVC
• MVC and the Structure of This Course
• Setting up a Laravel Project
• Understanding the Folder Structure
• A Quick Intro to the Artisan Command Line Interface

Views & Blade Templating Engine

• Introduction
• Views and Templating Engines
• Why Use Templating Engines?
• Blade – Displaying Data and Using Layouts
• Demo:Using Layouts
• Demo:Displaying Data
• Blade – Partials
• Demo: Partials
• Blade – Control Stuctures
• Demo: Control Stuctures
• Blade – XSS Protection
• Demo: XSS Protection
• Facades

Working with Routes

• Introduction
• Views and Templating Engines
• Why Use Templating Engines?
• Blade – Displaying Data and Using Layouts
• Demo:Using Layouts
• Demo:Displaying Data
• Blade – Partials
• Demo: Partials
• Blade – Control Stuctures
• Demo: Control Stuctures
• Blade – XSS Protection
• Demo: XSS Protection
• Facades

Handaling Requests & Responses

• Introduction
• Handling Requests and Sending Responses
• Demo: Extracting Data from a GET Request
• Demo: Sending Data to a View
• Handling POST Requests with Dependency Injection
• Dependency Injection vs Facades
• Demo:Using Dependency Injection
• Protecting Against CSRF Attacks
• Demo:CSRF Protection
• Using Sessions to Show Temporary Data
• A Case for User Input Validation
• Demo:Implementing Input Validation
• Demo:Showing Validation Errors
• Demo:Outsourcing Error Messages into Partials

Configuration & Environments

• Configuration and Environments Overview
• Configuring the Database Connection

Using Controllers and Models

• Introduction
• Controllers and Models – Overview
• Demo:Creating the Post Model
• Demo:Adding Methods to the Model
• Demo: Creating the Post Controller
• Connecting Controller Actions and Routes
• How laravel Finds the Controller
• Alternative Route Syntax
• Demo:Finishing the Post Model
• Demo:Finishing the Controller
• using Validation in Controller
• Finishing the Course Project

Databases – Introduction & Migration

• Databases Bird’s Eye Overview
• Migrations Overview
• Creating and Running Migrations

Databeses – Eloquent ORM

• Understanding Eloquent ORM Models
• Models- Creating and Updating,Introducing Tinker
• Models – Retrieving Single Model
• Models- Retrieving Multiple Models and Collections Overview
• Models- Using the Query Builder
• Practical – List of Blog Posts and Single Blog Post

Forms(Markup,CSRF,Validation,Errors,Flash Messages,Mass Assignment)

• Forms Markup
• Cross Site Request Forgery Explained
• Forms – Storing Submitted Data
• Forms – Input Validation
• Forms – Displaying Validation Errors
• Forms – Form Request Classes
• Session Flash Messages
• Forms – Old Input Helper
• Forms/Models – Model Mass Assignment

CRUD(Editing,Updating and Deleting)

• CRUD – Edit Form
• CRUD – Update Action
• CRUD – Deleting Using Forms
• CRUD – Deleting Models

Assets & Styling(Javascript,CSS, Laravel Mix, Bootstrap)

• Introduction to Laravel Mix
• Installing Bootstrap
• Using NPM and Compiling Assets With Mix/Webpack
• Including Assets in Views
• Versioned Assets(Cache Improvements)
• Introduction to Bootstrap CSS
• Understanding CSS Flexbox in General and in Bootstrap
• Layout Grid and Styling Header Bar
• Styling Forms
• Styling Post List Page
• Styling Single Post Page
• Styling Flash Messages and Error Messages

Testing Basics

• Testing
• Testing configuration and environment
• Writing first function test
• Testing database interactions
• Testing store() action (model creation)
• Testing for failure
• Testing update() action (model updates)
• Testing delete() action (model deletion)

One to One Eloquent Relations

• One to One relation with migration
• One to One assigning relationship
• One to One querying relationship

One to Many Eloquent Relations

• One to Many relation with migration
• One to Many assigning relationship
• One to Many querying relationship

Querying Basics

• Lazy Loading vs Eager Loading
• Querying Relationship existence
• Querying relationship absense
• Counting related models
• Using withCount() in practice (fetching count of comments) with test

Model Factories

• Model Factory Introduction
• Model Factory States
• Model Factory callbacks(afterCreating, afterMaking)
• Application:Implementing comment list

Authentication

• Authentication Overview
• How user registration works in laravel
• Guard component and how logging users in works
• Custom registration from and Auth routes
• Formatting validation errors
• RedirectIfAuthenticated middleware
• Log-in form with “Remember Me” feature
• Logging out.@guest directive,debugging CSRF token errors
• Retrieving the currently authenticated user
• Protecting routes(requiring authentication)
• Testing routes that requires

Database Seeding

• Refreshing database, database foreign keys and existing data
• Problem: SQLite test database NOT NULL problem
• Database seeding basics
• Using Model Factory inside Seeder
• Model relations inside seeder
• Individual seeder classes
• Making seeder interactive

Deleting Models and Soft Deletes

• Deleting related model using model events
• Deleting related models using cascading
• Soft deletes
• Soft deletes querying
• Restoring soft deleted model
• Testing soft deleted models

Authorization, Policies, Gates

• Authorization introduction
• Introduction to Gates
• Using authorize() helper
• Verifying permissions of the user
• Admin users and overriding permissions
• Policies introduction
• Policy or Gate?
• Verifying permissions in Blade templates
• Using middleware to authorize routes
• Application: updating tests

Query Scopes – Local & Global

• Application: setting user_id for the new BlogPost
• Global Query Scopes introduction
• Global Query Scopes and potential issues
• Local Query Scopes introduction
• Practical: Local Query Scope – most commented posts
• Practical: Local Query Scope – most active users
• Practical: Local Query Scope – most active users last month
• Practical: Global Query Scope – admin can see deleted posts

Laravel Blade Components

• Blade Components introduction
• Component aliases
• Conditional rendering in Component
• Practical: creating reusable component for dates
• Complicated example of conditional rendering
• Application: Fixing an issue with HAVING clause

Caching

• Caching introduction
• Laravel Debugbar
• Storing data in cache
• Removing from cache
• Cache facade
• Practical: using cache as storage
• Practical: using cache for storage implementation
• Using and setting up Redis as cache storage
• Cache tags introduction
• Practical: using cache tags

Many to Many Eloquent Relations

• Caching introduction
• Laravel Debugbar
• Storing data in cache
• Removing from cache
• Cache facade
• Practical: using cache as storage
• Practical: using cache for storage implementation
• Using and setting up Redis as cache storage
• Cache tags introduction
• Practical: using cache tags

Reusable Components, query Scopes, Route Model Binding)

• Practical: User to Comment OneToMany relation and migration
• Practical: comments form and reusable errors component
• Route Model Binding
• Eager loading nested relationships
• Converting repeating queries to query scopes

File Storage and Uploading

• File Storage introduction
• File upload form
• Handling file uploads
• Using Storage facade to store files
• Getting the URL of stored file
• Practical: Image model, OneToOne relation and migrations
• Uploaded image URL
• Practical: Displaying uploaded image and styling
• Deleting files
• Validating uploaded files (size, type, dimensions)

One to One Polymorphic Eloquent Relation

• Section intrduction
• Practical: Scaffolding UserController and UserPolicy, using authorizeResource
• Practical: Views for showing/editing user profile
• OneToOne Polymorphic explained
• OneToOne Polymorphic migration
• OneToOne Polymorphic defining relation
• OneToOne Polymorphic associating
• Practical: OneToOne Polymorphic with BlogPost and Image

One to Many Polymorphic Eloquent Relation

• OneToMany Polymorphic explained
• OneToMany Polymorphic migration & relation
• OneToMany Polymorphic associating
• Practical: OneToMany Polymorphic views
• Practical: Running tests on MySQL database
• OneToMany Polymorphic seeder

Why PHP skill is essential for every Software Engineer?

• PHP is considered one of the easiest scripting languages
• PHP is highly flexible whether it is during an ongoing project or after completing the project.
• Gives Web Developer More Control
• PHP frameworks built-in feature and tools make it easier to protect the web applications from the outer attacks and security threats.
• PHP is also stable as compared to other programming languages. It has been in existence for a long time.

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JAVA

Java this eternal object-oriented programming language that produces software for multiple platforms. When a programmer writes a Java application, the compiled code (known as bytecode) runs on most operating systems (Os) Including Windows, Linux and Mac OS. Java derives much of its syntax from the C and C ++ programming languages.

Springboot

Spring boot this exclusive open source Java-based framework used to create a micro Service. It is developed by Pivotal Team and is used to build stand-alone and production ready spring applications. This chapter will give you an introduction to Spring Boot and familiarizes you with its basic concepts.

Pre-requisites

• Complete beginners. We got you covered. We’ll start from compilation & interpretation.
• Programmers switching from other languages.
• Java programmers who are not feeling confident about their existing Java skills.
• Java programmers who want to learn about design principles & best practices. Any serious programmer should know this stuff!

Agenda of Java with Springboot

Introduction – Java

Java Fundamentals – Object-oriented Design

Thinking in Objects

• Basics
• Coherence, Coupling, and God Classes
• What Is an Object?

Defining Behavior and State

• Problems with println()
• Money and Delegation: Getters and Setters Are Evil

Extending Classes

• The Is-a Test
• Simple Extension and Template Method
• Delegation Under Inheritance: Shape
• Liskov Substitution: Stack, Ver. 1
• Fragile Base Classes: Stack, Ver. 2

Defining Class Contracts with Interfaces

• Defining Contracts
• Fixing Fragility
• Dependency Inversion

Working Without Getters and Setters

• The Open Closed Principle
• Builder

Testing OO systems

• Dependency Injection
• Summing Up

What Is Object Orientation?

• Course Overview
• What is Object Orientation?
• From Use Cases to Conceptual Classes
• Class Relations
• Deriving Software Classes, Part 1
• Deriving Software Classes, Part 2
• Demo: Instance and Static Methods

Encapsulation and Abstraction

• Module Overview
• More Class Relationships
• Encapsulation
• Assigning Responsibilities
• Demo: Exercising the System
• Demo: the Single Responsibility Principle
• Demo: Defending Encapsulation
• Abstraction: Encapsulation or Inheritance?

Inheritance and Polymorphism

• Module Overview
• Don’t Repeat Yourself
• The Liskov Substitution Principle
• Overriding and Dynamic Dispatch
• Demo: Dynamic Dispatch
• Using Overridden Methods
• Understanding Inheritance
• Abstract Classes and the Open-closed Principle

Interfaces, Composition, and System Design

• Module Overview
• Interfaces What Are They, and Why Do We Need Them?
• Demo: Paying through an Interface
• Demo: The Fragile Base Class Problem
• Delegation and the Decorator Pattern
• The Strategy Pattern
• The Interface Segregation Principle
• The Dependency Inversion Principle

Introducing – Spring Boot

• Getting Started
• Learning Path
• Spring Boot Overview
• Features of Spring Boot
• Summary

Bootstrapping a Simple Application

• Overview
• Demo: Spring Initializr
• Demo: Spring Boot CLI
• Demo: Auto Configuration
• Spring Boot Annotations
• Spring Boot Properties
• Spring Boot Profiles
• Summary

Accessing Data with Spring Boot and H2

• Overview
• H2 Database
• Why Use Templating Engines?
• ORM with JPA
• Entities
• Demo: H2 Integration
• Demo: H2 Console
• Demo: Partials
• Summary

Configuring a Spring MVC Application with Spring Boot

• Overview
• MVC Design Pattern
• Demo: MVC in Action
• Packaging and Deployment
• Demo: Uber Jar
• Summary

Building a RESTful Web Application with Spring Boot

• Overview
• REST Architecture
• Demo: RESTful Web Application
• Demo: Testing with URL
• Response Formats
• Exception Handling
• Demo: Exception Handling
• Summary

Building a GraphQL Server with Spring Boot

• Overview
• GraphQL Overview
• GraphQL Dependencies
• GraphQL Schemas
• Demo: Schemas
• Query Operations
• Mutations
• Exceptions
• Demo: GraphiQL
• Summary

Enabling Actuators, Metrics, and Health Indicators

• Overview
• Actuator
• Custom Endpoints
• Summary

Testing with Spring Boot

• Overview
• Testing Overview
• Unit Testing
• Integration Tests

If you are want to learn JAVA then Visit here.

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