Setting up and managing collaborative activities and group work in Moodle involves several steps. Moodle provides various tools to facilitate group collaboration and communication. Here’s a step-by-step guide:

1. Create a Course (if not already created)

• Go to your Moodle Dashboard: Log in to Moodle and go to the “Course Management” section.
• Create a New Course: Click on “Add a New Course” and fill in the necessary course details.

2. Enable Group Work in the Course Settings

To facilitate collaborative activities, you first need to enable group settings in the course.

• Turn Editing On: On your course page, click the “Turn editing on” button.
• Access Course Settings: Go to Course administration > Users > Groups.
• Enable Groups: In the group settings, make sure that groups are enabled. You can choose from three types of group modes:
  • No groups: This is for courses where students work individually.
  • Separate groups: Each group cannot see other groups’ activities and materials.
  • Visible groups: Students can see other groups’ activities, but they work within their own groups.

3. Create Groups

Groups are essential for dividing students into smaller units to collaborate on activities.

• Create Groups: In the Groups section (Course administration > Users > Groups), click “Create group” and give it a name (e.g., Group 1, Group A, etc.).
• Add Members to Groups: Once the group is created, you can manually add students by selecting users from the “Potential members” list and clicking “Add”.
• Groupings (Optional): If you want to organize your groups into larger sets (e.g., by project, section), you can create a “Grouping” and assign groups to it.

4. Set Up Collaborative Activities

Moodle offers several activity types that can foster collaboration:

A. Forums

• Add a Forum: Go to your course page, click “Add an activity or resource,” and select “Forum.”
• Set Up Forum: You can set the forum type to a “Group forum” or “Separate groups” to restrict discussions to specific groups. Set permissions for posting, replying, and viewing topics.

B. Wiki

• Add a Wiki: A Wiki allows collaborative editing of content. Choose “Wiki” under “Add an activity or resource.”
• Group Mode: In the Wiki settings, choose the group mode (Separate groups or Visible groups).
• Configure Editing Permissions: Allow students to collaborate in groups by editing the wiki page.

C. Assignments (Group Assignments)

• Create Group Assignment: If you want students to work collaboratively on assignments, choose “Assignment” when adding a new activity.
• Enable Group Submission: In the assignment settings, enable the “Group submission” option so that one submission per group is allowed. This can be useful for group projects.
• Set Grouping: Under the “Group” setting, select the specific grouping you want to assign to this activity.

D. Google Docs or External Tools Integration

• External Tools: Moodle allows integration with Google Docs, Microsoft Office 365, or other third-party tools. You can add them via the “External Tool” activity.
• Collaborative Work: These integrations allow students to collaborate in real-time within the tools themselves, and work will be automatically reflected in Moodle.

5. Set Up Collaborative Tools for Communication

Communication is key in group work, and Moodle offers several communication tools that support this.

A. Chat

• Create a Chat Room: Add a “Chat” activity if real-time communication is needed.
• Group Chat: You can create a separate chat room for each group in the group settings.

B. Messaging

• Use Moodle’s Messaging System: Students can send messages to each other, and you can allow them to message group members.

C. Collaboration with Peer Reviews (Peer Feedback)

• Enable Peer Review in Assignments: For group work, peer assessment and feedback can be beneficial. In assignment settings, you can enable peer reviews, where students can provide feedback on each other’s work.

6. Monitor and Assess Group Activities

• Track Group Progress: You can track individual and group progress using Moodle’s grading and reporting tools. Go to Gradebook to see how each group is performing on assignments and other activities.
• Manage Group Reports: You can generate reports for group activities. For example, in a forum or assignment, you can review participation, submissions, and interactions within groups.

7. Provide Feedback

• Individual or Group Feedback: Depending on the activity, you can provide feedback either to the whole group or to individual members.
• Peer Feedback: Allow students to assess their peers’ contributions, which can help foster accountability within the group.

8. Facilitate Collaboration with Scheduling and Deadlines

• Set Deadlines for Activities: Clearly specify deadlines for group activities to keep students on track. Use the “Due date” feature in assignments, forums, and other activities.
• Use Moodle Calendar: Encourage students to add group meetings and deadlines to the Moodle calendar to stay organized.

9. Evaluate Group Collaboration (Optional)

Moodle allows you to incorporate collaborative evaluations into your grading system. For example, you can add a “Group Self-Evaluation” activity where each member can rate the contribution of others.

10. Incorporate Group-Based Resources

In addition to activities, you can also upload collaborative resources for groups to work with:

• Shared Folders/Files: Use the “File” or “Folder” resource to create a space where students can upload and share documents within their groups.
• Online Databases: You can also use the “Database” activity to create a collection where group members can add entries.

11. Encourage Participation

To ensure group members actively participate, you can:

• Grade Participation: Set up grading based on group contribution, if desired.
• Use Group Roles: Assign roles within the group (e.g., leader, timekeeper) to ensure shared responsibilities.

By combining these strategies, you can create a collaborative and productive environment in your Moodle course, encouraging students to engage with each other and work together toward shared goals.

The post How to set up and manage course collaborative activities and group work in Moodle? appeared first on Artificial Intelligence.

Setting up and managing course discussions and forums in Moodle involves a few key steps. Here’s a guide to help you set up and manage forums effectively in Moodle:

1. Creating a Forum

To create a discussion forum in Moodle:

1. Log in to Moodle and go to your course page.
2. In the course, turn on editing by clicking the “Turn editing on” button (usually in the top right corner).
3. Scroll down to the section where you want to add the forum, and click “Add an activity or resource.”
4. From the pop-up window, select Forum and click Add.

2. Configuring Forum Settings

When creating a forum, you will need to configure the following settings:

• Forum name: Give your forum a clear name that reflects its purpose.
• Description: Provide a brief description of the forum (this is optional, but it’s helpful for students to understand the forum’s purpose).
• Forum type: Moodle offers different types of forums, including:
  • Standard forum for general use: Ideal for most discussion scenarios.
  • Each person posts one discussion: Each student can only start one discussion.
  • Q and A forum: Students must post an answer before seeing other students’ posts (ideal for questions and discussions).
  • Single simple discussion: Ideal for small, focused discussions.
• Availability: Set dates when the forum will be open for posts (start date and end date).
• Post threshold for blocking: Set a limit on the number of posts a student can make before they are blocked from posting further.

3. Discussion Settings

You can also control how discussions and replies are organized:

• Read tracking for forum posts: You can allow Moodle to track which posts have been read.
• Subscription mode: This determines how users are notified about new posts:
  • Auto subscription: Users are automatically subscribed and receive notifications of new posts.
  • Subscription by default: Students are subscribed unless they choose to unsubscribe.
  • Optional subscription: Students can choose to subscribe to the forum.
  • Forced subscription: All students are subscribed and cannot unsubscribe.
• Ratings: You can enable ratings for posts, allowing you to assign points or scores for participation or quality of posts.

4. Managing Forum Posts

Once your forum is set up, you can manage discussions through the following options:

• Post a new discussion topic: Instruct students to start their own threads by clicking the “Add a new discussion topic” button.
• Reply to discussions: Students and instructors can reply to discussion topics.
• Moderate forum posts: If you have set up a Q and A forum or any forum requiring moderation, you can review and approve posts before they appear publicly.
  • Navigate to the Forum Administration block > Moderate forum to manage posts.
  • From here, you can approve or delete posts, and you can also assign other users as forum moderators.

5. Grading Forum Posts

If your forum is linked to assessments:

1. Set a grade category for the forum.
2. Configure grading criteria: You can use different grading types, including:
   • Scale: Assign a value based on a scale (e.g., “Pass/Fail”).
   • Point-based: Assign points to each post or discussion.
3. You can also configure the grading settings to track participation, quality, and other aspects of the forum posts.

6. Managing Forum Subscriptions and Notifications

To ensure students stay engaged and receive the necessary updates:

• Forum Subscription: Manage individual or bulk subscriptions to the forum through the participants’ list or via Forum Administration.
• Notifications: Students will receive email notifications based on the forum settings (e.g., new posts, replies, etc.). As an instructor, you can adjust these settings under Site Administration > Notifications to control how notifications are sent out for forum activities.

7. Advanced Features

• Pin posts: You can pin important posts to the top of the forum for better visibility.
• Sticky posts: Similar to pinned posts, these stay at the top of the discussion.
• Subscription overrides: This allows you to force specific students to have different subscription settings.
• Discussion group settings: If you have a large class, you can set up group discussions within the forum to split students into smaller discussion groups.

8. Moderation and Reporting

To monitor the progress of your discussions:

• Forum reports: Use Moodle’s built-in reports to track forum participation, such as viewing posts, replies, and time spent on the forum.
• Manage discussions: You can move, lock, or delete discussions and posts through the forum administration settings.

By following these steps, you can create and manage effective course discussions and forums that encourage student engagement and collaboration within your Moodle course.

The post How to set up and manage course discussions and forums in Moodle? appeared first on Artificial Intelligence.

Nexus is a repository manager functions as stores, organizes, and distributes Artifacts needed for the development.

This tool is one of the finest ways to continuously control binary, packages and build Artifacts. But this repository is not something like a Git repository where you store the source code, this repository is basically for packages, binaries that you build, like apt packages, yum packages, android packages, NPM packages, Docker packages, etc.

There are two types of version one is the community version and 2^nd is the pro version which you called a professional version. The professional version is for paid and the enterprise community version is free with very limited functions.

From Nexus, developers can fully control access to, and deployment of, every Artifact in a company from a single location, making it easier to allocate software.  Internally, you configure your build to issue Artifacts to Nexus, so they come out there to rest developers. Nexus Repository helps organizations build better, safer software even quicker for free. It’s the only repository manager with free support for all popular formats, like Java, Docker, JavaScript, Ruby, Python, NET, GitLFS, etc.

Why Nexus is used for?

Basically, it is repository management and is used to store any kind of packages.  But there is another use of nexus as well, which is the availability of packages.

When you store the packages in the tools like nexus, they will be available to the entire team. Because of this coordination time is reduced.

Now the security of the packages is very important here. Security of packages means only a few persons should be having the right access or few CI tools. Most of the times CI tools will have the right access to make the nexus. But the rest of the people will not have the right access because the security of the package is also a major concern.

Now if you look at the kind of places where we deploy our applications, most of the applications we are using everywhere are cloud-based applications like making my trip, yatra.com, Swiggy, Ola, FB, etc, software as a service, so security is very important.

If one wrong package gets deployed into the system, operations, production, which will create a lot of problems so not only the support security and runtime security is important but package security is also important.  So that’s one of the reasons where we can use nexus where the security can be enforced.

Storage over the period of time will die but if you store the packages in tools like nexus and Artifactory, etc. they will make sure that the packages they store in a sort of object format, they maintain the integrity of packages, so that way it will not get corrupted over the period of time, so that is a thing which will be taking care by tools is nexus. 

What are the benefits of nexus?

Given below are few points on the benefits of nexus are–

• Speedier Builds

• Your own bandwidth savings

• Predictability and Stability

• Ability to deploy 3rd-party Artifacts

• Control and Auditing

• Ability to Host Internal Repositories

• Ability to Host Public Repositories
• Easy administration and management

Who should enroll for Nexus Certification Course?

The person who wants to be a professional on nexus tool and wants to learn what and how repository manager works as nexus and to take the advantage of nexus advanced features who let a user search, use fields, use lookups, and create basic statistical reports and dashboards in the Nexus Intermediate Enterprise or Nexus Intermediate Cloud Platforms.

 It enhances the value of your resume and you can get leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after the successful completion of training and practical-based projects.

What are the alternatives of Nexus?

Given below are the few tools which is an alternative to Nexus.

• Archiva
• Nuget gallery
• PopScrap Pro
• ScrapRight
• ScrapYardPro
• RecyclerGuard
• RazorERP
• RecycleManager
• Makor ERP
• Waste Logics
• Waste & Recycling One
• JFrog Artifactory.
• CircleCI.
• Postman.
• GitHub.
• Amazon Elastic Container Registry (ECR)
• Jenkins.
• CloudBees CI.
• Github Package Registry.

What are the pre-requisites to learn Nexus

      For essential nexus training

• Basic understanding of Linux/Unix system concepts
• Familiarity with Command Line Interface (CLI)
• Familiarity with a Text Editor
• Experience with managing systems/applications/infrastructure or with deployments/automation

For intermediate nexus training

• An understanding of basic marketing concepts.
• Should have a keen interest in engaging in social media constructively.
• Enthusiasm and commanding communication skills

For advanced nexus training

• Basic knowledge of Elastic search/Nexus and would like to expand on their knowledge
• Basic Knowledge of JSON
• Basic of Linux and windows

How to learn Nexus?

Through a certified course and training from well-trained trainers and from a popular and well-known platform like DevOpsSchool which makes the trainee is a perfect use of this Nexus tool. 

DevOpsSchool is the best supply of Nexus courses, training, and certification. Their Nexus trainers and specialists are highly educated with a good rich experience in the Software industry. DevOps has captured a stimulating position within the IT world and has become an important part of software engineering methodology. For enhancing the software quality, reducing cost, and increasing the agility for a quicker release, DevOps and Nexus is playing a very important role therefore finding the best Nexus trainers and training seller is very necessary.

The Nexus courses are designed in certain methods where participants can get advantages with a lot of content in less span of time. DevOpsSchool gives its services of Nexus training and courses online and classroom mode in India and abroad. DevOpsSchool tends to run several public classrooms training programs within Bangalore, Hyderabad, Pune, Mumbai, India, Netherlands, etc.

The post Nexus appeared first on Artificial Intelligence.

The Indian Institute of Technology (IIT) Mandi is hosting a six-day weekend workshop on Deep Learning Crash Course (ADLCC 2021) for executives and working professionals between July 3 and 18. Organised by IIT Mandi iHub and HCI Foundation jointly, this workshop will Artificial Intelligence and Machine Learning techniques in detail with extensive hands-on tutorial sessions for the participants.

Interested candidates can register at the official website of IIT Mandi. The workshop will have a selected batch of participants and the applications will be shortlisted on a first come – first serve basis.

It will be conducted from 9 am to 1 pm and lab sessions from 2 pm to 6 pm, on every weekend. An assessment will be done at the end of the workshop, and based on this assessment, certificates will be provided to participants. The workshop may pave the way for a research internship opportunity at the iHub and IIT Mandi.

Some of the key points to be covered in this workshop includes basics of machine learning and neural networks, convolutional neural networks, object localisation and detection, autoencoders and variational autoencoder, generative adversarial networks, recurrent neural network and long short-term memory, Siamese network abnd transformer network.

Speaking about the workshop, Dr. Aditya Nigam, Workshop Coordinator and Assistant Professor, School of Computing and Electrical Engineering, IIT Mandi said, “This workshop will be the key to enter the mystic world of AI/ML. Extensive learning has been planned through comprehensive sessions organized by various experts. Most importantly the specially designed hand-on sessions will be a boon to completely novice learners. We hope that this workshop will effectively democratize AI/ML Learning.”

Dr. Varun Dutt, Key speaker at ADLCC 2021, and Associate Professor, School of Computing and Electrical Engineering, IIT Mandi said, “The current workshop would provide students, academics, and industry personnel hands-on sessions on AI/ML topics that span a number of domains, including the human-computer interaction area.”

The post IIT Mandi to Conduct Crash Course on Artificial Intelligence, Machine Learning appeared first on Artificial Intelligence.

NIT Warangal is currently accepting applications from students and professionals for a short-term online course on Python for Machine Learning. The course will be conducted from 26 to 30 July 2021 in the evenings around 5 pm for three hours a day. The course will cost Rs 500 for faculty, post-doctoral fellows, research scholars, postgraduate and undergraduate students, and will cost Rs 1000 for industry participants.

The course is being conducted by NIT Warangal’s Department of CSE and the Department of Mathematics in association with the Center for Continuing Education. Participants will get an e-certificate upon successful completion of the course. Suppose a participant misses any class, the course material and session recordings could be shared with participants with the consent of the speaker.

What the NIT Warangal Online Course on Python for Machine Learning Will Cover

The online course aims at introducing participants to python programming constructs, and at imparting knowledge and training on the fundamentals of python with different aspects and applications to machine learning. The following topics will be covered by NIT Warangal in the online course:

• Introduction to Python: Installation, and Python Editors.
• Variables, Objects, Operators, and Primitive Data Types.
• Compound Data types: List, Tuples, Sets, and Dictionaries.
• Conditional Statements Loops: for, while, do while.
• Functions, and Building your own functions.
• Numpy: Multi-dimensional Arrays.
• Matplotlib: 2D and 3D plotting in python Regular Expressions.
• Scipy: Scientific library for python Pandas: Providing high-performance, easy-to-use data structures.
• SymPy: Symbolic mathematics and computer algebra. scikit-image: Collection of algorithms for image processing.
• scikit-learn is a collection of algorithms and tools for machine learning.

How to Apply for NIT Warangal Online Course on Python for Machine Learning?

Interested participants will have to submit online applications through a dedicated Google form provided by the institute, and then pay the requisite fee before 20 July 2021. On receiving the Google form and fee remittance receipt, participants will be sent confirmation of their participation through email by 22 July 2021. Applicants are advised to go through the course brochure in detail prior to submitting applications.

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IIT Kharagpur has invited applications for a free online course on introduction to machine learning this time on the SWAYAM NPTEL platform. The 8-week long course will be conducted from 26 July to 17 September 2021. While the course is free to take, to get a certificate from IIT Kharagpur and NPTEL, participants will have to pay Rs 1000 and take an examination on 26 September 2021. The course also carries two credit points, which can be beneficial for engineering students.

The course will be conducted by professor Sudeshna Sarkar who is a professor and currently the head in the department of computer science and engineering at the Indian Institute of Technology Kharagpur. The professor completed her BTech in 1989 from IIT Kharagpur, MS from University of California, Berkeley, and PhD from IIT Kharagpur in 1995, and her research interests are machine learning, natural language processing, data and text mining.

What the IIT Kharagpur Free Online Course on Machine Learning Will Cover

The course will introduce participants to the basics of computational learning theory, and the various issues related to the application of machine learning algorithms will also be discussed. Furthermore, the course will be accompanied by hands-on problem solving with programming in Python and some tutorial sessions. The following are the topics that will be covered over a period of 12 weeks:

• Introduction: Basic definitions, types of learning, hypothesis space and inductive bias, evaluation, cross-validation.
• Linear regression, Decision trees, and overfitting.
• Instance-based learning, Feature reduction, and Collaborative filtering-based recommendation.
• Probability and Bayes learning.
• Logistic Regression, Support Vector Machine, Kernel function and Kernel SVM.
• Neural network: Perceptron, multilayer network, backpropagation, and introduction to deep neural network.
• Computational learning theory, PAC learning model, Sample complexity, VC Dimension, and Ensemble learning.
• Clustering: k-means, adaptive hierarchical clustering, and Gaussian mixture model.

Who Can Apply for the IIT Kharagpur Free Online Course on Machine Learning

While the course is open to all participants, it could be most beneficial for students and professionals from the following domains:

• Computer Science and Engineering
• Artificial Intelligence
• Data Science
• Programming
• Robotics

It also serves an elective course for undergraduate, postgraduate, BE, ME, MS, MSc and PhD students.

How to Enroll for the IIT Kharagpur Free Online Course on Machine Learning

Interested participants will have to enroll in the course by clicking on the Join button available on the official website before 2 August 2021. Prior to that, participants will have to first sign into the SWAYAM NPTEL platform using their Microsoft, Facebook or Google accounts. Furthermore, an option to login using the SWAYAM account is also available. SWAYAM account can be created by registering with the platform by entering the username, password, email address, and then verifying the account. As far as the certificate for the course is concerned, announcements will be made when the registration form is open for submission, and the online registration form has to be then filled and the certification exam fee needs to be paid.

The post IIT Kharagpur Offers Free Online Course on Machine Learning That Can Be Completed in 8 Weeks appeared first on Artificial Intelligence.

The Indian Space Research Organisation has announced a five-day free course on machine learning, between July 5 -9. The course is being offered as part of the Indian Institute of Remote Sensing’s (part of ISRO) outreach program. Central and state government employees, researchers, professionals, and those attached with NGOs can attend the course. Interested candidates must have basic knowledge of remote sensing and GIS.

The short course is designed for professionals engaged in remote sensing data processing in different applications which involves extracting a specific class of interest. 

The course content is planned as follows:

July 5: Remote Sensing and its sensors of various resolutions. Radiometry and Geometric corrections and Basic understanding of Image

July 6: Basic classifier to machine learning-A journey

July 7: Methods in machine learning: Supervised, unsupervised and reinforcement. 

July 8: Fuzzy based machine learning with application in temporal data processing

July 9: Network-based learning algorithms – ANN to CNN/RNN

The course materials such as lecture slides, recordings of the classes, handouts of the demonstrations, etc will be made available to the students and the full video lectures will be uploaded on YouTube.

Candidates can attend the course live via any web browser through the e-class portal of IIRS Dehradun. The participants can also attend the live workshop via IIR’s YouTube channel of IIR.

For receiving the course completion certificate, a student must have attended 70 percent of the sessions via the e-class portal. Students attending the class via IIR’s YouTube channel should mark their attendance via an offline session made available after 24 hours post the class.

The post ISRO Offers A Five-Day Machine Learning Course For Free appeared first on Artificial Intelligence.

Learning to code is an excellent way to open doors in your career. But to maximize your returns, you need to focus on specific skills that are in demand.

Right now, many recruiters are looking for people who understand data science and machine learning. These skills are being used at the cutting edge of finance, sales, marketing, science, and many other sectors.

The Machine Learning & Data Science Certification Training Bundle provides 48 hours of video tutorials with a top instructor. You can grab the bundle today for just $35 in a special deal for Bleeping Computer readers.

From self-driving cars to Netflix recommendations, machine learning is the technology that allows software to make smart decisions. Data science is a related field, where experts try to draw valuable insights from huge data sets.

This bundle explains both topics in depth, with eight beginner-friendly courses. Through concise video lessons, you learn how to build your own neural networks using Python and popular tools such as TensorFlow. The training also helps you start programming with R, the language of choice for many data experts. 

Your instructor is Minerva Singh, a Cambridge University PhD graduate and data scientist who uses her knowledge to study tropical ecology. Her courses have been taken by over 70,000 students, and she has an instructor rating of 4.3 stars from 13,000 reviews.

The courses in this bundle are worth $1,600 put together, but you can order today for just $35 and get lifetime on-demand access.

Prices subject to change.

The post Explore machine learning and data science with this $35 course bundle appeared first on Artificial Intelligence.

IIT Delhi, like various other Indian Institutes of Technology (IITs) and Indian Institute of Science (IISc), is offering several free online courses on the NPTEL platform at present. One such course is a free online course on “Introduction to Artificial Intelligence”, which interested learners can enroll for. The course, however, can be especially beneficial for undergraduate students in computer science with a fair knowledge of data structures and probability.

The course will be conducted by Prof Mausam who is an Associate Professor of Computer Science department at IIT Delhi, and an affiliate faculty member at the University of Washington, Seattle. He received his PhD from the University of Washington in 2007 and a BTech from IIT Delhi in 2001. He is an awardee of the prestigious AAAI Senior Member status for his long-term participation in AAAI and excellence in the field of artificial intelligence.

What the IIT Delhi Free Online Course on Artificial Intelligence will Cover?

Participants who enroll for this course will get an understanding of the following topics: Introduction to hilosophy of AI, definitions, modeling a problem as search problem, uninformed search, heuristic search, domain relaxations, local search, genetic algorithms, adversarial search, constraint satisfaction, propositional logic and satisfiability, uncertainty in AI, Bayesian networks, Bayesian networks learning and inference, decision theory, Markov decision processes, reinforcement learning, and introduction to deep learning and deep RL.

Other Important Details of the IIT Delhi Free Online Course on Artificial Intelligence

The 12-week long course will be conducted from 18 January to 9 April 2021, and the last date to enroll for the course is 25 January 2021. Although the course is free to enroll and learn from, to receive certificates from NPTEL and IIT Delhi, participants will have to register and write the proctored exam to be conducted by NPTEL in person at any of the designated exam centres on 25 April 2021 in morning and afternoon sessions.

Criteria to Receive Certificates for IIT Delhi Free Online Course on Artificial Intelligence

Certificates will be rewarded based on the participant’s performance in exam, as well as their average assignment score. The average assignment score will be 25% of average of best 8 assignments out of the total 12 assignments given in the course, and exam score consists of 75% of the proctored certification exam score out of 100.

The post IIT Delhi Invites Registrations for a Free Online Course on Artificial Intelligence on NPTEL appeared first on Artificial Intelligence.

Course takes individuals with zero industry experience, to job-ready analysts in just six months

The Australian Institute of ICT (AIICT) has announced today a new ‘Certified Data Science Professional’ course featuring Microsoft certification content for Data Science. AIICT is a start-up launched in 2019 by DDLS, one of Australia’s largest providers of corporate IT and cybersecurity training, and Microsoft Gold Learning Partner.

The course is designed specifically for aspiring machine learning and data science professionals and takes individuals with zero industry experience, to job-ready analysts in just six months.

“AIICT always aims to provide the most contemporary, relevant and future-focused skills for students to succeed – and Data Science is an area that is experiencing remarkable growth” said Jon Lang, CEO of DDLS. “The flexibility of the Certified Data Science Professional course structure is a key element in meeting the skyrocketing demand in the field – we need data scientists right now, and this new course enables an individual to start whenever they are ready, and enter into a well-paying role in just six months”, added Lang.

Data science is one of the key emerging occupations expected to see significant growth in the next few years, according to the National Skills Commission. Between 2015 and 2019, the occupation experienced a growth rate of 492%[1], with Data scientists in Australia currently reporting a median salary of $92K[2].

The Certified Data Science Professional course prepares individuals for a role as a junior data scientist, and through its unique Industry Partner Program, AIICT connects recent graduates with leading employers to help them secure a front-line role, while simultaneously tackling skills shortages in the field.

The course incorporates four globally recognised Microsoft Certifications, which focus on the fundamentals of data, artificial intelligence (AI), Microsoft Azure, and advancing to the Microsoft Certified: Azure Data Scientist Associate certification.

“We are pleased about the launch of this new data science offering, especially in such a high-demand area. By combining Microsoft’s certifications, with AIICT’s course delivery and flexible study options, this course will enable the next round of job-ready data scientists for the Australian market,” said Geoff Hirsch, Senior Director of Microsoft’s Learning Partner Channel.

Some of the course’s key learning outcomes include:
Learning about the data science process and the role of the data scientist
Understanding the fundamentals of database and artificial intelligence concepts in a cloud environment, and specifically in Azure
Gaining the skills in driving automation across the entire data science process
Gaining knowledge of the machine learning pipeline from beginning to end, including the management and monitoring of machine learning models
Students can also access learning material on key technologies which are critical to data science such as SQL, Python and R.
Furthermore, the course gives students access to unique hands-on labs powered by CloudSwyft, which enable them to develop their real-world skills in a live environment, ensuring they are job-ready on course completion.

“CloudSwyft is highly passionate about supporting the adoption of future-ready skills across Australia. Our Hands-on Labs integration allows learners to gain practical technology experience through real world applications in live, cloud-based environments, ensuring they are ready for the exciting next step in their technology careers. We are thrilled to partner with DDLS, AIICT and Microsoft on the Data Science Professional Course” said Dann Angelo De Guzman, Founder and CEO of CloudSwyft.

AIICT operates using a unique self-paced course schedule, which is not bound by the traditional academic structures of terms and semesters. The flexible learning options allow students to build an online learning schedule around their life and encourages people who may not have considered a career in data science as an option previously, to undertake training.

Whilst the course is delivered remotely, the AIICT platform allows students to join a community of like-minded individuals for communication and collaboration as they progress through the course.

The post AIICT announces Certified Data Science Professional course featuring Microsoft content appeared first on Artificial Intelligence.