AIML Training Program, Sep 2026
Weekend AIML Classes
A structured 24-week journey covering AI/ML foundations, practical implementation, mini-projects, and real-world applications.
Why join this program?
Designed to help undergraduate engineering students build strong AI/ML foundations through structured learning and practical implementation.
Who can apply?
Undergraduate students from AICTE-affiliated engineering institutions with interest in Artificial Intelligence and Machine Learning.
How you’ll learn
A balanced approach combining theory, coding practice, tutorials, assignments, and guided projects.
What you’ll receive
Weekly evaluations, project exposure, internship opportunities, Discord community access, and a Certificate of Competency.
Curriculum outline
Carefully structured modules progressing from AI/ML fundamentals to advanced concepts.
- 01Introduction to ML
- 02Data & Model Evaluation
- 03Nearest Neighbor Classification
- 04Linear SVMs
- 05Gradient Descent
- 06Regression
- 07Clustering
- 08Feature Selection & PCA
- 09Multi Layer Perceptron
- 10Probabilistic ML Models
- 11Deep Learning Architectures
- 12Representing Textual Data
The 24-week arc
How the syllabus above unfolds across the program, phase by phase.
- Introduction to ML
- Data & Model Evaluation
- Nearest Neighbor Classification
- Linear SVMs
- Gradient Descent
- Regression
- Clustering
- Feature Selection & PCA
- Multi Layer Perceptron
- Probabilistic ML Models
- Deep Learning Architectures
- Representing Textual Data
- Mini-Projects
- Capstone & Evaluation
Indicative pacing — the confirmed week-by-week schedule is shared with the batch after kickoff.
Eligibility & selection
Currently pursuing undergraduate engineering or 2026 women engineering graduates.
Interest in learning AI/ML concepts and applications.
Minimum 70% marks in English and Science subjects in Higher Secondary education.
Basic computer literacy is required.
Limited seats available.
Program logistics
Start date: Sep 2026
Venue: Auditorium, Nilgiri Block, IIIT Hyderabad
Schedule: Every Sunday
Timing: 9:00 AM – 11:00 AM
Frequently asked questions
Q01Is the program beginner-friendly?
Yes. The program starts from the basics and gradually progresses toward advanced concepts.
Q02How will participants be evaluated?
Through weekly quizzes, assignments, mini-projects, and continuous evaluation.
Q03When are the classes conducted?
Classes are conducted every Sunday from 9:00 AM to 11:00 AM.
Q04Will there be internship opportunities?
Selected students Sep receive opportunities for short-duration internships based on performance and availability.
Q05Will I receive a certificate at the end of the course?
Yes. A graded Certificate of Competency will be awarded upon successful completion.
Q06Who will be teaching the course?
Sessions are delivered by experienced faculty members with expertise in AI/ML and real‑world applications.
Q07What is the expected time commitment?
Plan for 3 hours every Sunday to gain maximum benefit.
Q08What if I miss a class?
We recommend attending all sessions to avoid gaps in learning.
Q09What is the language of instruction?
All sessions are conducted in English. Basic proficiency is required.
Q10Are there any communication groups?
Yes. A Discord channel will be set up for interaction and discussion.
Q12Is there an attendance policy?
Yes. Maintain at least 75% attendance to be eligible for the certificate.
Q13Who will issue the certificate?
The certificate will be issued by iHub‑Data, IIIT Hyderabad.
Q14Is this batch open to working professionals?
This course is exclusively meant for undergraduate engineering students. For working professionals, the appropriate courses are at https://outreach.iiit.ac.in/execedu/ and at https://dfl.iiit.ac.in/
Q15Will paying the ₹1,000 pre-registration fee guarantee my seat in the AIML Training Program?
Yes. If you meet the eligibility criteria and complete the ₹1,000 pre-registration, your seat in the program will be confirmed. Please note that only students currently pursuing an undergraduate engineering degree are eligible to apply. Candidates who do not meet the eligibility criteria but still complete the pre-registration will not be considered for the program, and the pre-registration fee is non-refundable.
Q16I am a teacher in a technical institute. Can I join this course ?
This course is exclusively meant for undergraduate engineering students. For members of faculty, the appropriate course is https://csedu.iiitd.ac.in/ There could also be courses on same topics at Coursera or SWAYAM/NPTEL offered in fully online mode.