Dr. A.P.J. Abdul Kalam Technical University (AKTU), Uttar Pradesh, has announced a national AI skilling initiative for students of its affiliated colleges. The initiative offers a 30-hour, self-paced and free online course focused on the fundamentals of Artificial Intelligence, Machine Learning and Python.
According to the AKTU notice dated September 22, 2026, the programme is being promoted under the Confederation of Indian Industry (CII) initiative, “Dreams Unlocked: Building an AI-Ready India – Skilling the Youth on AI.” AKTU is participating in the programme through an MoU with CII.
The course has been curated by experts from IIT Madras and is being offered by the CII Centre for AI India in collaboration with HP. The programme is supported by the Ministry of Electronics and Information Technology (MeitY) and the India AI Impact Summit 2026.
AKTU AI Course 2026: Overview
| Details | Information |
|---|---|
| University | Dr. A.P.J. Abdul Kalam Technical University |
| Course | Foundational Course on AI and Machine Learning |
| Course Duration | 30 hours |
| Mode | Online, self-paced |
| Course Fee | Free of cost |
| Course Curated By | Experts from IIT Madras |
| Initiative | CII Centre for AI India |
| Industry Partner | HP |
| Support | MeitY and India AI Impact Summit 2026 |
| Approval | NCVET-approved |
| Credit | 1 credit point |
| Credit Framework | National Credit Framework (NCrF) |
| Target Group | Students of AKTU affiliated institutions |
The above details are based on the official AKTU circular issued on September 22, 2026.
What Is the AKTU AI and Machine Learning Course?
The programme is a foundational AI and Machine Learning course designed to give students practical exposure to important areas of AI, ML, Python and data analysis.
AKTU has asked its affiliated institutions to circulate information about the initiative among students and encourage participation. The university has also requested institutions to facilitate student registration at the earliest.
The course is delivered through an LMS platform and has a duration of 30 hours. Students can complete it in a self-paced format. The official notice states that the course is free of cost.
Topics Covered in the AKTU AI Course
The programme covers several foundational and practical areas related to Artificial Intelligence and Machine Learning.
1. Artificial Intelligence and Machine Learning Foundations
Students will learn the fundamentals of:
- Artificial Intelligence
- Machine Learning
- Python Programming
These topics provide the foundation for further study in AI and Machine Learning.
2. Data Analysis Using NumPy and Pandas
The course also includes data analysis using:
- NumPy
- Pandas
These Python libraries are widely used for working with and analysing datasets. The inclusion of these topics gives students practical exposure to basic data-handling workflows.
3. Exploratory Data Analysis and Data Visualisation
Students will also study Exploratory Data Analysis (EDA) and data visualisation.
The course outline specifically lists EDA and Data Visualisation as part of the programme.
4. Machine Learning Techniques
The programme covers several important Machine Learning techniques, including:
- Regression
- Classification
- Clustering
These topics introduce students to different approaches used in Machine Learning.
5. Generative AI and Prompt Engineering
The course also includes newer AI topics such as:
- Generative AI
- Prompt Engineering
- AI-assisted Coding
This gives the programme coverage across both foundational Machine Learning and newer generative AI applications.
6. Practical Exercises and Assessments
The programme includes practical exercises, case studies and assessments. This means the course is not limited to theoretical concepts and includes practical learning activities.
AKTU AI Course 2026 Credit Details
The official AKTU notice states that the programme is NCVET-approved and carries 01 credit point.
The credit is recognised under the National Credit Framework (NCrF), subject to applicable institutional norms. Students should therefore check with their respective institutions regarding how the credit will be considered academically.
Is the AKTU AI Course Free?
Yes. According to the AKTU circular, the 30-hour online course is offered free of cost through an LMS platform.
Students can therefore register for the programme without a course fee, according to the information provided in the university notice.
How to Register for AKTU AI Course 2026?
AKTU has provided a registration link for students interested in undertaking the programme.
Registration Steps
- Open the official registration link provided in the AKTU notice.
- Complete the student registration process.
- Provide the required details.
- Access the LMS platform after registration.
- Complete the 30-hour self-paced course.
- Take the required practical exercises and assessments.
AKTU AI Course Registration Link
Register for the AI and Machine Learning Course
The registration link is the one specified in the AKTU circular dated September 22, 2026.
Who Can Participate?
The AKTU notice is addressed to the Directors and Principals of AKTU-affiliated institutions. The university has asked affiliated institutions to circulate the programme among eligible students and encourage maximum participation.
The notice does not provide a separate detailed eligibility list or specify a particular branch, semester or year. Students should therefore follow the registration requirements shown on the programme platform and check with their college if they need confirmation.
Why AKTU Students Should Know About This Course
The course covers a combination of Python, data analysis, Machine Learning and Generative AI. The official curriculum includes both foundational concepts and practical exercises.
For students studying Computer Science, Artificial Intelligence, Machine Learning, Data Science and related fields, the listed topics can complement their academic coursework.
The programme also provides a structured introduction to areas such as:
- Python for AI and ML
- NumPy and Pandas
- Data Analysis
- Exploratory Data Analysis
- Data Visualisation
- Regression
- Classification
- Clustering
- Generative AI
- Prompt Engineering
- AI-assisted Coding
Important Details from the AKTU Notice
The official circular provides the following key information:
- Notice date: September 22, 2026
- Reference number: AKTU/DEAN UG/2026/864
- Course duration: 30 hours
- Course format: Self-paced online
- Course fee: Free
- Course designed by experts from IIT Madras
- Programme offered through CII Centre for AI India
- HP is collaborating on the programme
- Supported by MeitY and India AI Impact Summit 2026
- NCVET-approved
- 01 credit point under NCrF, subject to applicable institutional norms
- Practical exercises, case studies and assessments are included.
AKTU AI Course 2026: Contact Details
The AKTU notice provides the following contacts for programme-related queries:
Mr. Mehul Chaudhary
Mobile: +91 9927634685
Email: mehul.chaudhary@cii.in
Ms. Anchal Somani
Email: anchal.somani@cii.in
Frequently Asked Questions
What is the AKTU AI Course 2026?
It is a 30-hour, self-paced online foundational course covering Artificial Intelligence, Machine Learning, Python, data analysis, Generative AI and related topics.
Is the AI course free for AKTU students?
Yes. The AKTU notice states that the course is offered free of cost.
Who designed the AKTU AI course?
The course has been curated by experts from IIT Madras.
How long is the course?
The course has a duration of 30 hours.
Does the course provide academic credit?
The programme carries 01 credit point recognised under the National Credit Framework, subject to applicable institutional norms.
What Machine Learning topics are included?
The listed Machine Learning techniques include Regression, Classification and Clustering.
Does the course include Generative AI?
Yes. Generative AI, Prompt Engineering and AI-assisted Coding are included in the programme.
Where can students register?
Students can register through the registration link provided in the AKTU circular:
Final Details
AKTU has asked its affiliated institutions to widely circulate the programme and facilitate student registration. The university has also encouraged students to undertake the programme to strengthen their foundational AI skills and prepare for the changing requirements of higher education and industry.
Students interested in Artificial Intelligence and Machine Learning can check the registration requirements and course details through the official registration portal before enrolling.
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