IT certifications have always been playing a vital role in getting a job or required knowledge.

In an interview, if you have a certification, you have more advantages to get the job and I have experienced it personally.

There are lots of other channels as well to learn or to enhance the knowledge and skills these days but the thing which matters a lot is the certification, and no one can give a certified degree instead of an institute, and like the way things are evolving the demand of certification is getting increased as they need an expert for their work.

So having knowledge before going to ask for the job is much beneficial to you.

So today I am going to share the top 10 high-paying IT certifications in the world in 2022. So let’s begin.

Master in DevOps engineering (MDE) certification – This certification gives you entire information about DevOps and their related toolsets.

DevOps is just a process to be followed to achieve a high quality of software by continuous integration and continuous delivery, and their open-source tools help it to achieve the goal efficiently and effectively.

Basically, DevOps only direct the way but the major works are done by these toolsets and you can have the proper knowledge and skills by only getting trained in any institute and have the completion certification.

The demand for certification is getting higher to get a good job role in the IT sector.

DevOps is liable to do the planning, designing, coding, testing, deploying, and monitoring.

As DevOps has shown its capability the salary of candidates will be more in 2022 and will be continued.

Site reliability engineering (SRE) certification – SRE is also one of the important certifications. SRE is mainly focused on operations where the goal of SRE is to improve the reliability of software systems, through automation and continuous integration and delivery.

SRE has also open-source toolsets that cover during the certification. SRE has shown tremendous growth till now and getting used all over the world.

It’s expecting the demand of SRE would be consistent and will be on a high-paying salary list.

SRE is for those software engineers who want to work as an operation team.

DevSecOps certified professional certification – It had been forecasted to be achieved a growth of 33.7% during the period of 2017-2023. And even it has been seen the growth in the market.

So as per the result, it will dominate the market in 2022 as well.

The national average salary for a Devsecops Engineer is Rs 10,00,000 in India.

DevSecOps course is for security professionals who are willing to work in the security field like cyber security.

DevSecOp’s assumption is security is everyone’s priority and everyone should work by keeping security concerns in mind. DevSecOps also works in the collaboration with DevOps.

Docker Certified Associate (DCA) certification – Docker is a containerization tool that creates containers and allows to build, test and deploy applications.

This certification helps to learn how Docker is used to package and ship the app as well as how to create containers and so many things.

Docker has become the number 1 choice of all companies and its demand is high.

The average salary of Docker candidates in India is Rs 4,79, 074 to Rs 8,14,070, and in the USA $1,45000.

Being a Docker certified candidate is much important to get a job.

Certified Kubernetes Administrator (CKA) Certification – It has been seen CKA course is at the top to get the certification into. Kubernetes are much important to organize the containers. So Kubernetes certification is important as here you will learn so many things and most significantly how to integrate with Docker to work with.

Kubernetes has already shown its growth as it is in demand at all companies.

Kubernetes candidates can earn salaries up to 6 to 8 lakh in India and in USA between $92,500 and $147,500 per year as per a new report.

AIOps Certified Professional (AIOCP) certification – AIOps stands for artificial intelligence for operations drive automation to solve the issues by speed analyzing the root cause of the issue and taking care of the events with any human interruption.

AIOps is now trending to market and is achieving heights of success. So the growth of AIOps is getting really good and opening so many job roles in AI.

AIOps certification is very important to get into this job domain as certification can grow your chances more to pass the interview and to get the full knowledge.

Based on research the average salary of AIOps is 21 lakh per annum in India.

Master in artificial intelligence – The AI is future and there is no doubt the candidates who are trying to achieve mastery in AI studies have a great future.

Certification is playing a key role here to get your foot into the AI world.

Having good knowledge and the advantage to get the priority in an interview is not so bad. This is the advantage of certifications.

The average salary of AI in the USA is $164, 769 and in India Rs 9,01,800 per annum.

AI is the main driver of emerging technologies like big data, robotics, and IoT.

GitOps certification – GitOps is a set of practices to manage infrastructure and application configurations using Git.

Gitops uses Git as the main repository for managing all the information, documentation. It maintains infrastructure as code and keeps them too in Git.

Some developers believe Gitops is the future of DevOps that replace the Developer part with a single repository that grasps all the information needed by a developer. 

That’s why GitOps certification is important.

GitOps employee’s salary is also high according to experience. One candidate has 45 lakh per annum.

The job openings are also in good numbers to apply.

MlOps certification – Mlops is communication between data scientists and the operation or production team, it is deeply collaborative in nature, designed to eliminate waste automate as much as possible, and produce richer and consistent insights through machine learning.

Mlops is the major function of machine learning engineering.

Mlops Goals –

• faster experimentation and model development
• faster deployment of the updated model into production
• Quality assurance.

The salary for an MLOps Engineer in India is approx Rs 11,40,000 per annum.

It has been predicted to be more job openings in 2022 and the certification is a must to get the job as certification can give you an advantage during an interview.

Its shows at least you have such knowledge pertaining to this and you are trained.

DataOps certification – As per Andy Palmer “DataOps is a data management method that emphasizes communication, collaboration, integration, automation, and measurement of cooperation between data engineers, data scientists, and other data professionals”.

The aim of DataOps is to quickly deliver business value from data.

The DatOps engineer’s salary in India is Rs 7,78,290 and  $92,468 in the United States per annum.

It is predicted, to improve data quality and reduce time to insight, enterprises will increasingly embrace DataOps practices across the data life cycle in 2022.

The certification will play a vital role here to get the job as Dataops is new and also it has so many scenarios to cover so certification is a must.

And it has always been seen certifications always give an advantage during an interview. That means certification increase the status of your knowledge as well as your resume.

                      Training Place

I would like to tell you about one of the best places to get trained and certification in DevOps, DevSecOps, SRE, AIOps, MLOps, GitOps, AI, and Machine learning courses is DevOpsSchool. This Platform offers the best trainers who have good experience in DevOps and also they provide a friendly eco-environment where you can learn comfortably and free to ask anything regarding your course and they are always ready to help you out whenever you need, that’s why they provide pdf’s, video, etc. to help you.

They also provide real-time projects to increase your knowledge and to make you tackle the real face of the working environment. It will increase the value of yours as well as your resume. So do check this platform if you guys are looking for any kind of training in any particular course and tools.

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But, still, there are a lot of high-paying certification programs that professionals can opt for to compete in the competitive world.

If you are planning for a next move in USA, then completing these IT certification programs will boost your skills and abilities, and it will surely help you to stand out in the job market of united states.

With the changing business landscape, the demand for skilled individuals has increased immensely and organizations are focusing more on candidates who have completed certificate courses in these specific fields.  The demand for below-mentioned skills is sky-high, and the supply of professionals is meager.

Master in DevOps Engineering (MDE):- DevOps positions are consistently ranked among the highest paying salaries in the IT industry. DevOps is here to stay. And with that, the need to obtain a DevOps certification is no longer trendy, it’s quickly becoming a non-negotiable. Having DevOps certification makes you ready to work in a team of cross-functional members, including QA, developers, operation engineers, and business analysts.

DevSecOps Certified Professional (DSOCP):- Security in IT’s is a significant issue in today’s digital era, and Cyber attacks are on the rise and the Cyber threats won’t go away overnight. With this harsh reality, it’s inconceivable that any organization today would neglect the security aspect of the DevOps methodology. With this in mind, all businesses are driven digitally and IT management have moved to prioritize security and compliance at all levels. As more organizations see the benefit of end-to-end security implementation, DevOps will either fade away or get absorbed into DevSecOps.

SRE Certified Professional (SRECP):- SRE certification proves that the professional have understanding of set principles and practices designed to help organizations reliably and economically scale services. A certified professional can make an organization’s infrastructures far more stable, predictable, and scalable – all essential elements of software engineering, development, and operations.

Docker & Kubernetes Certification:- The container management tool Docker and Kubernetes are used in DevOps process to manage software parts as isolated, self-sufficient containers that can be deployed and run in any environment. In today’s market, professionals with Docker and Kubernetes skills are highly sought.

Master in Microservices:- Designing your product or application architecture can be tough as much a business decision as a technological one. Microservices is a particular way of developing software, where applications are structured as a collection of autonomous services OR we can say its a way where a large complex application are broken down into individual small-apps that are responsible for one specific product function. This skill allows large companies to gain agility and new tech capabilities to meet the growing customer demands.

Master in Big Data:- Big data professionals helps organizations to work with their data efficiently and use that data to identify new opportunities. Different techniques and algorithms can be applied to predict from data. Multiple business strategies can be applied for future opportunities and success of the organization and that leads to smarter business strategies, more efficient operations, and higher profits. With huge opportunities and investment in the Big Data technologies, certified professionals carrying the skills of big data are in huge demand.

Master in Artificial Intelligence:- This is one of the best certifications you can own if you want to lead the AI-driven technological revolution. It is not just about replacing the human component of the industry. It’s also about making it easier to make decisions based on observable patterns, use logic and reasoning to form conclusions, and build pathways to boost efficiency and production. It is not an easy discipline, but this is the reason why salaries in the AI industry are much higher than average.

Master in Machine Learning:- Machine Learning is one of the fast-emerging technology with high demand in the industry. Whether it be medicine, cybersecurity, automobiles, etc. all these fields are exploring the capabilities of machine learning. It’s obvious that learning more about Machine Learning and becoming a Certified Machine Learning Professional is a great idea and may even be a very wise career move! Naturally, you will be a hot asset for potential employers if you possess domain knowledge and skills in this field.

Master in Data Science OR Analytics:- Data Science is the latest tech trend that has taken the industry by storm. Companies and organizations, irrespective of their trade, are adopting Data Science tools, technologies, and solutions to promote innovation, increase productivity, boost sales, and maximize customer satisfaction. Once you receive the certification, you can apply for promising roles like Data Science, Data Analyst, and many more DATA-driven roles.

Dynatrace

Quantum Computing

AIOps

DataOps

OpenShift/Tanzu/Rancher/Linkerd/Envoy/Traefik/istio/consul

These certifications program will require a few months of hard work and an investment of time and money but once you’ll successfully complete the course you will be ready to achieve your goals no matter what they are.

Wrapping Up

Hope you would found our list of In-Demand IT Certifications For A Great Career in USA useful. Whether you’re a new working professional or an experienced professional, you won’t have trouble following these courses. At DevOpsSchool.com All of these certification courses are delivered by best-in-class trainers and mentors who will guide you every step of the way. Before selecting any certifications program, one only needs to be clear about their goal, know which path to take, and preserve in order to make the best of that opportunity.

Talk to our certification advisor if you need more information and guidance. (contact@devopsschool.com or +91 700 483 5930 (Call/WhatsApp))

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Becoming a data scientist is a relatively new career trajectory that merges statistics, business logic, and programming knowledge. Given the exponential amount of data being churned out via our smartphones, desktops, and the vast array of IoT devices throughout the world, governments and private enterprises are interested in gleaning insight from their extensive data collection processes.

While data scientists can (and do) perform data analysis, they do so within the realm of building and deploying predictive models which often incorporate machine learning and deep learning protocols. Data scientists must also have a meta-level understanding of which models are the best fit for the data being analysed. Since all models are approximations of current and future environments, they require fine-tuning which, in turn, relies on the data scientists’ mathematical expertise. Although data scientists are not data engineers, they should (ideally) have some knowledge of how databases are constructed, and how to pull data from an organization’s preferred database management system (DBMS). Due to the extensive knowledge requirements, including academic and professional training and/or experience, companies, research organizations, and governmental agencies are scrambling to find qualified data scientists.

Read the ultimate guide to gain an access to the sexiest job of the 21^st century-

Education

Data scientists are highly educated – 88% have at least a Master’s degree and 46% have PhDs – and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist. To become a data scientist, you could earn a Bachelor’s degree in Computer science, Social sciences, Physical sciences, and Statistics. The most common fields of study are Mathematics and Statistics (32%), followed by Computer Science (19%) and Engineering (16%). A degree in any of these courses will give you the skills you need to process and analyse big data.

Get Specialised

Many different paths can lead you to a lucrative, rewarding career as a data scientist. Most start at the undergraduate level, with bachelor’s degrees in data science that can lead to jobs like data visualization specialist, management analyst and market research analyst. From there, many students go on to achieve master’s degrees in fields like machine learning algorithm developer, statistician or data engineer. Many students then pursue doctorate degrees in concentrations such as business solutions scientist, data scientist, and enterprise science analytics manager.

Learn to Code

In-depth knowledge of at least one of these analytical tools, for data science, R is generally preferred. R is specifically designed for data science needs. You can use R to solve any problem you encounter in data science. In fact, 43 percent of data scientists are using R to solve statistical problems.

Python is the most common coding language I typically see required in data science roles, along with Java, Perl, or C/C++. Python is a great programming language for data scientists. This is why 40 percent of respondents surveyed by O’Reilly use Python as their major programming language.

Familiarity with cloud tools such as Amazon S3 can also be beneficial. A study carried out by CrowdFlower on 3490 LinkedIn data science jobs ranked Apache Hadoop as the second most important skill for a data scientist with 49% rating. You need to be proficient in SQL as a data scientist. This is because SQL is specifically designed to help you access, communicate and work on data. It gives you insights when you use it to query a database. It has concise commands that can help you to save time and lessen the amount of programming you need to perform difficult queries.

Brace your Skill Set

A data scientist can clearly and fluently translate their technical and analytical findings to a non-technical department. They must also be able to understand the needs of their non-technical departments (such as business development or marketing teams) in order to analyse the data correctly. A data scientist must empower the business to make decisions by presenting robust and verifiable information.

Apply for Data Science Certifications and Get your First Data Science Job

Earning a certification can improve your skills and make you a more marketable candidate. Potential certifications include certified applications professional, Cloudera certified professional: data scientist, EMC: data science associate and SAS certified predictive modeler using SAS Enterprise Miner 7. Search for positions such as Junior Data Analyst or Junior Data Scientist.  System-specific training or certifications in data-related fields (e.g., business intelligence applications, relational database management systems, data visualization software, etc.) might help when looking for entry-level data science jobs.

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On Friday, the Bureau of Labor Statistics released the latest jobs numbers, and they weren’t pretty. Nonfarm payrolls fell by 20.5 million in April, and the U.S. unemployment rate has now soared to 14.7%. However, one silver lining is that many of those laid off expect to eventually return to their previous jobs. Of those laid off, 18.1 million expect to eventually get their old jobs back.

Those hopes may prove optimistic if the coronavirus-related recession leads to lingering demand destruction across a wide range of industries. Yet if you happen to find yourself in this unfortunate situation, one company is offering a crash course in a very in-demand skillset for the new “data economy.” The course is free to displaced workers and could help you land a different — and potentially better — job coming out of the crisis than going in. 

Here’s what the program is and why you should consider taking it, if you have a month to spare.

Advancing Data and Analytics Potential Together (ADAPT) program

Data science software company Alteryx (NYSE:AYX), has very quickly constructed a new crash course in data science and predictive analytics for displaced workers it calls Advancing Data and Analytics Potential Together (ADAPT). Alteryx developed ADAPT under its “Alteryx for Good” platform, an educational outreach program Alteryx had even before COVID-19. Alteryx for Good is designed to educate and offer services to nonprofits, students, and educators on the ins and outs of data science and predictive analytics. Now, amid COVID-19, Alteryx has developed a monthlong curriculum that’s essentially an intensive crash course in data science, offered through partner Udacity, an online education company founded in 2011. The course is free to both new graduates, as well as those who have been displaced by the COVID-19 pandemic.

The course runs in three parts:

• Intro to ADAPT/Data.
• Data Fundamentals and Core Certification.
• Predictive Analytics for the Business Nanodegree — Presented by Udacity. 

Key modules include learning how to create a data set, do classification models, and conduct A/B testing, time series, and data segmentation. The course also comes with a six-month license to Alteryx Designer, Alteryx’s main desktop software product used by citizen data scientists at companies large and small. As of March 31, Alteryx had 6,443 total customers, including 731 or 37% of the Global 2000. Alteryx was also named a leader in data science and machine learning in Gartner‘s (NYSE:IT) 2020 magic quadrant ratings this year.

So by undergoing this training course, students will also become familiar with a leading data science software platform. If that sounds intimidating, Alteryx’s software is designed to be user-friendly, accessible to the professional data scientist and layperson alike. On the application page, even those without any data-related experienced are encouraged to apply. Students will also get access to the Alteryx community with thousands of experts and other users to help them learn the ropes, as well as one-on-one access to members of Alteryx’s team.

The time to complete the course can vary, but Alteryx’s press release claims it should take a bit over 120 hours, or about a month if spending 40 full hours per week. Upon completion, students will receive a Udacity “Nanodegree,” or a specialized degree designed to give IT workers entry-level skills into a certain technology jobs — in this case, predictive analytics. Udacity’s first “nanodegree” was developed in conjunction with AT&T back in 2014 for entry-level IT jobs at the telecom giant.

A growing need for data science

The new economy of the 2020s is going to run on data-driven insights, automation, artificial intelligence and machine learning. According to a World Economic Forum report released last year, the WEF found that data science roles were among the “highest in-demand roles in the labor market,” adding: “[I]n the Fourth Industrial Revolution, all sectors will need to undergo a fundamental transformation to fully absorb the potential dividends of the data economy. Such transformations will need to be accompanied by appropriate talent investments in data science skills.” Frankly, many U.S. workers don’t have these necessary skills, but Alteryx is trying to change that with ADAPT, at least in some small way.

Of course, wide adoption of the course should also help Alteryx in the long run as well. Enterprise software-as-a-service companies benefit from strong network effects, meaning that the more familiar workers are with a certain type of software, the more enterprises adopt that software, which in turn gets more workers familiar with that software, and on and on in a virtuous circle. Certainly, Alteryx’s course, while noble, should also help “prime the pump,” so to speak, by bringing in a whole new class of Alteryx users.

Last quarter, Alteryx showed strong 43% revenue growth, though it forecast a big deceleration to 15% growth next quarter, as the COVID-19 outbreak has caused some elevated churn in Europe, delays in renewals, and general caution of the part of buyers.

However, Alteryx’s data analytics platform still has a large growth opportunity in front of it after the pandemic-related interruption. CEO Dean Stoecker pointed out that Alteryx only has 1% penetration among corporate data analysts who still use the clunkier row-and-column Excel software from Microsoft (NASDAQ:MSFT), which was initially developed 35 years ago.

It’s certainly possible for companies to do good for society as well as their own businesses at the same time, and Alteryx’s ADAPT program seems to be an example of that. So if you’re unemployed, furloughed, or semi-retired and want to upgrade your skill-set, you may want to investigate Alteryx’s ADAPT course. After all, if you qualify, it’s free!

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Over the past few years, many companies have embraced artificial intelligence (A.I.) and machine learning as the way of the future. That’s been good news for those technologists who’ve mastered the tools and concepts related to A.I. and machine learning; those with the right combination of experience and skills can easily earn six-figure salaries (with accompanying perks and benefits).

As A.I. and machine learning mature as sub-industries, it’s inevitable that more certifications proving technologists’ skills will emerge. For example, Google recently launched a TensorFlow Developer Certificate, which—just like it says on the tin—confirms that a developer has mastered the basics of TensorFlow, the open-source library for deep learning software developed by Google. 

“This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through building and training of basic models using TensorFlow,” read a note on the TensorFlow Blog. “This level one certificate exam tests a developer’s foundational knowledge of integrating machine learning into tools and applications.”

Those who pass the exam will receive aa certificate and a “badge.” In addition, those certified developers “will also be invited to join our credential network for recruiters seeking entry-level TensorFlow developers,” the blog posting added. “This is only the beginning; as this program scales, we are eager to add certificate programs for more advanced and specialized TensorFlow practitioners.”

Google and TensorFlow aren’t the only entities in the A.I. certification arena. IBM offers an A.I. Engineering Professional Certificate, which focuses on machine learning and deep learning. Microsoft also has a number of A.I.-related certificates, including an Azure A.I. Engineer Associate certificate. And last year, Amazon launched AWS Certified Machine Learning. 

Meanwhile, if you’re interested in learning how to use TensorFlow, Udacity and Google are offering a two-month course (just updated in February 2020) designed to help developers utilize TensorFlow to build A.I. applications that scale. The course is part of Udacity’s ‘School of A.I.,’ a cluster of free courses to help those relatively new to A.I. and machine learning learn the fundamentals. 

As the COVID-19 pandemic forces many companies to radically adjust their products, workflows, and internal tech stacks, interest in A.I. and machine learning may accelerate; managers are certainly interested in tools and platforms that will allow them to automate work. Even before the virus emerged, Burning Glass, which collects and analyzes millions of job postings from across the country, estimated that jobs involving A.I. would grow 40 percent over the next decade—a number that might only increase under the current circumstances.

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Data Scientist’ was recently named the most sought-after role from a recruitment perspective in the US according to figures from Glassdoor, and it’s been at the top spot for the last four years. Businesses are increasingly looking at those in this role to deliver business growth, and, in turn they are seen as imperative to the future of the organisation.

But what can Data Scientists offer, and why are they now so important to an enterprise? And how can the profession be formalised for those within the role as well as those looking to recruit them? Will bringing in an industry-approved certification programme bring the credibility that it needs and give Data Scientists a holistic view of their own professional development?

The growing need for data scientists

• Are data scientists going out of style?

In recent years, Data Scientists have predominantly come from academic background – having studied quantitative disciplines such as economics, machine learning, statistics or operations research, to name a few. Yet as the profession has developed, many universities have founded specialist degree programmes in Data Science.

In a Data Scientist role, professionals are expected to work with business leaders and key decision makers in order to solve business problems. This is typically executed by harvesting, analysing and then understanding data, all to provide insight and recommendations that help the organisation to move towards whatever goal it is trying to achieve.

This is a position which is very much in demand when today’s broader business context is brought into view. IDC has reported that the global volume of data generated is set to increase tenfold – to 175 zettabytes (ZB) a year by 2025. Sixty per cent of this data will be produced and managed by organisations, and so they must employ those who have the skills to work with it, spot trends that may emerge and therefore advise the business on how to act upon the stories that the data tells.

In order to do so, Data Scientists use a variety of data platforms and programing languages. In fact, modern applications of Data Science range from traditional transactional data analytics, right through to natural language processing, machine learning and computer vision. Data scientists are working across many industries, driving insights and outcomes. In the healthcare sector Data Scientists are using cognitive computing technologies in order to deliver personalised and precision medicine to patients, as just one example.

It’s important that Data Scientists develop a good level of business acumen in order to fulfil the full potential of their role. Only then will be able to identify a business-specific problem, work up a hypothesis, test conclusions and determine appropriate methods to influence strategic choices through data. Furthermore, to then take this insight into the boardroom and effectively relay the findings and deliver solid consultancy requires strong communication and visualisation skills.

Data Scientists driving business value

In plain terms, those enterprises that invest in the people with the skillsets and tools to understand the data and provide this level of insight now, will position themselves for growth going forwards. And the demand for these professionals will only continue to increase with the growing amount of data being produced.

Data Science is still classed as a new profession and it’s one that’s becoming more accessible to a range of those either already in a technical field, or those just entering the world of work. Individuals with relevant experience can reskill and move into the Data Science field, whilst those studying can opt for a degree to take them into this career – both are attracted to the role due to its growing importance for business growth and the ability to impact results, as well as the lucrative salaries.

However, due to the rapid rate at which the Data Science landscape is evolving, fuelled by the demand for these professionals from the corporate world, we are now seeing a talent shortage emerge. Therefore, having several possible routes for individuals to enter the profession is helpful but doesn’t necessarily help businesses to identify, train and retain these employees. This is only amplified by the disparity in the experience and skills that individuals can have across the profession, which leaves employers struggling.

• Machine learning & data science: what it means and what businesses are doing to stay ahead

The requirement for a certification programme

In order to combat this, through a certification programme, Data Scientists can not only differentiate themselves in the labour market, but can also give themselves enhanced visibility to recruiters and employers, clearly stating their experience and the value they can bring to a business. These organisations can then easily identify the best candidates for new roles, but also ensure that current or prospective employees are working to the required high standards that the job demands.

To ensure consistency, compliance, and service quality across the board, a global certification programme is essential for the Data Scientist profession. This would give employers the tools to not only identify potential talent for their workforce via an objective and reliable framework, but would inform the wider industry on how a certification can be utilised by some of the world’s largest organisations.

The recent ‘Facing the storm: Navigating the global skills crisis’ report further emphasises the value of these guidelines, with certification programmes having the third highest impact in terms of the development of policies that bolster labour market competitiveness. However, there is still a long way to go to tackle the skills shortage as adoption of is still very low, at just 24 per cent.

Winning the war for talent

• Business intelligence, advanced analytics & data science: Make the right choice

Over time, existing professions have realised the value of certification. For instance, Business, Enterprise and Solution Architects can attain a specific, peer-reviewed, vendor-neutral and globally recognised credential through The Open Group OpenCA program. Following in the footsteps of the architect’s programmes, there is now a dedicated framework for Data Scientists. Working alongside IBM, The Open Group and its members have developed the Open Data Scientist certification programme which is already available to professionals and employers in this field.

As AI marches on to infiltrate all areas of a business, the demand for these skills and therefore an accompanying framework will continue to grow. In order to start making insightful sense from their rapidly growing data sets and to support the business by facilitating data-driven decisions, organisations can look to a Data Science certification programme for the relevant tools. This will arm organisations to win the fight for the best talent. But, importantly, it will also make sure that Data Scientists are professionally empowered with the skills and experience required to fulfil this crucial role, that will drive the businesses of tomorrow.

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