AIML Training Program, Feb 2026 – B Batch
Acquire, Innovate, Excel
24-Week Professional Training Program | Feb 2026
Specialized training program for undergraduate engineering students.Program Overview
A comprehensive 24-week training program covering fundamentals to applications in Artificial Intelligence and Machine Learning with hands-on exposure. This program is primarily aimed at enhancing UG academic programs with relevant and updated AI Skills.
Program Details
Eligibility
- Students from engineering backgrounds
- Students from AICTE-approved technical institutions
- Strong interest in Artificial Intelligence & Machine Learning
- Basic programming knowledge is an advantage but not mandatory
Learning Methodology
- Conceptual theory sessions by experienced faculty
- Hands-on tutorials and guided practical exercises
- Continuous evaluation (no final examination)
- Dedicated discussion and learning support via Discord
Curriculum Highlights
- Introduction to ML
- Machine Learning Components: Data, Model, Evaluation
- Nearest Neighbor Classification
- Performance Evaluation & Metrics
- Linear Classifier & Linear SVMs
- Representing Textual Data
- Perceptrons & Gradient Descent
- Regression
- Clustering
- Feature Selection & PCA
- Multi Layer Perceptron
- Probabilistic ML Models
- Deep Learning Architectures
Certification & Opportunities
This is primarilty a competency-enhancement research-oriented training program. Promising participants would be considered for short-term internships.
Frequently Asked Questions
Who will be teaching the course?
Sessions are delivered by experienced faculty members with expertise in AI/ML and real‑world applications.
Will there be teaching assistants available for doubt-clearing sessions?
Yes, dedicated teaching assistants will support participants throughout the program.
What is the expected time commitment?
Plan for 3 hours every Sunday for lectures and 2 hours for hands-on labs, and project-based learning weekly once to gain maximum benefit.
Is placement support provided?
Internship opportunities may be offered based on performance in the course.
Will I receive a certificate at the end of the course?
Yes. A graded Certificate of Competency will be awarded upon successful completion from iHub-Data.
How will I be evaluated?
Continuous weekly evaluation. There is no separate final exam.
Should I do any preparation before the program starts?
The program is beginner-friendly, and a preparatory session will be conducted at the beginning. However, revising basic Python, linear algebra, and probability concepts will help participants follow the sessions more effectively.
When will the classes be conducted?
Classes will be held every Sunday from 9:00 AM – 11:00 AM.
What if I miss a class?
We recommend attending all sessions to avoid gaps in learning.
What is the language of instruction?
All sessions are conducted in English. Basic proficiency is required.
Are there any communication groups?
Yes. A Discord channel will be set up for interaction and discussion.
What should I do if I face an issue during registration?
Email your registered email ID, application number, and a screenshot of the issue to faheema.vv@ihub-data.iiit.ac.in.
Is there an attendance policy?
Yes. Maintain at least 75% attendance to be eligible for the certificate.
What would be general nature of classes?
For a better understanding of the program structure and learning experience, please refer to this video: https://youtu.be/rzVFrzEAIIE
Is hostel accommodation available for participants of the training program?
Paying Guest (PG) hostels for boys/girls are available close to the campus. The classes are conducted only for two hours per week. Food is also available at the IIIT Hyderabad canteens and mess facilities inside the campus on a payment basis.
Who will issue the certificate?
The certificate will be issued by iHub‑Data, IIIT Hyderabad.
I am a teacher in a technical institute. Can I join this course ?
For faculty, appropriate courses could be discovered on Coursera or SWAYAM/NPTEL.
Can the classes be shifted to Sundays ?
This course was scheduled to be on all Sundays from 9am to 11am.
I am unable to make payment. The UPI interface shows that the receiver has reached the maximum limit. How can I enroll?
In such cases, you may submit a crossed cheque in person on any Saturday or Sunday to Mr. Mulkalla Pavan.
The cheque should be drawn in favour of:
Account Holder Name: IIIT-H Data I-Hub Foundation
Account Number: 50200060050483
Registration Details
If anyone is interested in joining our program, please reach out to coordinators:
Ms. Faheema V V at
faheema.vv@ihub-data.iiit.ac.in
Mr Mulkalla Pavan at
pavanmulkalla@ihub-data.iiit.ac.in
.
Participants List
| HUB ID | Name |
|---|---|
| HUB2603B201 | Aarti Dwivedi |
| HUB2603B202 | Achi Venkata Vijaya Lakshmi |
| HUB2603B203 | Akena Rupesh |
| HUB2603B204 | Ananya Chanti |
| HUB2603B205 | Annasagar Saicharan |
| HUB2603B206 | B V Sai Lakshmi |
| HUB2603B207 | Banala Sai Thrishar |
| HUB2603B208 | Batthini Lakshmi Vengamamba Charitha |
| HUB2603B209 | Bayyapu Spandana |
| HUB2603B210 | Bindhu Aashritha V |
| HUB2603B211 | Bollavaram Kusuma Sree |
| HUB2603B212 | Byreddy Sushank Reddy |
| HUB2603B213 | Chakali Abhilash |
| HUB2603B214 | Challagundla Venkata Naga Sumanth |
| HUB2603B215 | Chekkapalli Jhansi Lakshmi |
| HUB2603B216 | Chilkuri Shreya Saanvi |
| HUB2603B217 | Chitturi Pragathi |
| HUB2603B218 | Devineni Adhyumna Chowdary |
| HUB2603B219 | Dudekula Sharan Teja |
| HUB2603B220 | Emmadi Tejaswi |
| HUB2603B221 | Gandham Manuvarshitha |
| HUB2603B222 | Gangiredla Sri Lasya |
| HUB2603B223 | Gouda Sai Sri Chandana |
| HUB2603B224 | Guduru Kritika Reddy |
| HUB2603B225 | Gundamaraju Harshith Kashyap |
| HUB2603B226 | Hafsah |
| HUB2603B227 | Harshitha Sarvani Nimmagadda |
| HUB2603B228 | Ithamraju Ojeswani |
| HUB2603B229 | Kondam Rahul Reddy |
| HUB2603B230 | Kandi Anurag |
| HUB2603B231 | Kappagantula Srihitha |
| HUB2603B232 | Kareedu Veekshitha Sai Sri |
| HUB2603B233 | Katakam Pallavi |
| HUB2603B234 | Kolli Jasmitha |
| HUB2603B235 | Komarapu Santosh Lochan |
| HUB2603B236 | Kommineni Viswateja |
| HUB2603B237 | Kondreddy Geethika |
| HUB2603B238 | Koride Ishanth |
| HUB2603B239 | Korla Sumana Sri |
| HUB2603B240 | Kote Swathi |
| HUB2603B241 | Lakkoju Surya Uddish |
| HUB2603B242 | Lakshmi Kavitha Anigani |
| HUB2603B243 | Laranya Kandula |
| HUB2603B244 | M Lakshmi Manas |
| HUB2603B245 | Maddela Sahana Goud |
| HUB2603B246 | Maganti Jahnavi |
| HUB2603B247 | Mahesh Kompally |
| HUB2603B248 | Md Fareesa Sultana |
| HUB2603B249 | Mohammed Omair Ahmed |
| HUB2603B250 | Mohammed Zubair |
| HUB2603B251 | Monikanjali Tadepalli |
| HUB2603B252 | Musanam Kausalya |
| HUB2603B253 | N.Hema Harshitha |
| HUB2603B254 | Nadimpalli Vanisha |
| HUB2603B255 | Navadeep Saran Yadagiri |
| HUB2603B256 | Neereti Tejaswini |
| HUB2603B257 | Nikitha Reddy Nagireddy |
| HUB2603B258 | Nitya Rajeswari Sarva |
| HUB2603B259 | Nymisha Salivendra |
| HUB2603B260 | P. Vishali |
| HUB2603B261 | Pasupuleti Geethika |
| HUB2603B262 | Patha Sai Ashrith |
| HUB2603B263 | Pinnapureddy Pranav Kumar |
| HUB2603B264 | Polipalli Jayesh |
| HUB2603B265 | Potru Sandhya Priya |
| HUB2603B266 | Rapolu Dheeraj |
| HUB2603B267 | Ravipudi Taruni |
| HUB2603B268 | S Rudrakshini |
| HUB2603B269 | Sai Yash Kankipati |
| HUB2603B270 | Seerla Ganesh |
| HUB2603B271 | Shaik Maimood |
| HUB2603B272 | Shiva Shivarla |
| HUB2603B273 | Shravani Settigari |
| HUB2603B274 | Shreya Sari |
| HUB2603B275 | Sree Hasini N |
| HUB2603B276 | Sri Sai Balaji (Krish Arjun) |
| HUB2603B277 | Sriram Aishwarya |
| HUB2603B278 | Srislesha Ananthula |
| HUB2603B279 | Srujitha Yatham |
| HUB2603B280 | Suchay Joshi |
| HUB2603B281 | T Vivek Singh |
| HUB2603B282 | Toomu Anikeith |
| HUB2603B283 | Tummala Jathinsai |
| HUB2603B284 | Vaishnavi Logishetty |
| HUB2603B286 | Vedika Atul Kulthe |
| HUB2603B287 | Velishetty Greeshma |
| HUB2603B288 | Yalamanchili Lokesh Chowdhary |
| HUB2603B289 | Yanamadala Viditha |
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