Educational Programs

Student Training Program on AI/ML at IIIT Hyderabad

– Weekend Classes at IIIT Hyderabad

This 6-month student-training cum research internship program in artificial intelligence/machine learning is designed for final year undergraduate students (graduating in 2025) enrolled in 4-year B Tech programs accredited by AICTE, at technical institutions in and around Hyderabad.

The aim of this course is to instill in students an aptitude to undertake, analyse problems on their own and formulate solutions with a research orientation.

Admission would be restricted to two students per institution, recommended by HoD/Head of Institution. Students, who are within commuting distance from IIIT Hyderabad would only be admitted to the program.

The course comprises of a fine mix of theory sessions with accompanying practical tutorial sessions on topics related to AI/ML.

Classes would be conducted during weekends – on all Sundays, from 08:30 am to 11:30 am – covering theory sessions as well as tutorials.

Frequently Asked Questions (FAQs)

Will I receive a certificate at the end of the course?
Yes, a certificate of competency with grades would be awarded upon successful completion of the course.

Who will be teaching the course?
The course would be provided by the IIIT-H faculty with considerable AI/ML expertise.

What is the expected time commitment?
For maximum program benefits, participants are required to dedicate three hours every weekend.

How will I be evaluated during the course?
A holistic approach would be followed where participants would be evaluated continuously. Attendance is one of the important factor that would be used for evaluation of performance.

When will the classes be conducted?
The sessions would be conducted on every weekends (Sundays).

What if I miss a class?
It is advisable not to miss the sessions with the faculty.

What is the language of instruction for these courses? Are they available in other regional languages?
All our program courses are taught in English. Hence, a minimum proficiency in English language is essential.

Are there any communication groups on WhatsApp, Telegram etc for the offline program on Modern Machine Learning?
Yes, Discord will serve as the platform for communication and collaboration among participants.

What should be done if there is an error with registration?
Please send us your registered email-id, application number and a screenshot of the error/issue with relevant description to fmml.coordinator@ihub-data.iiit.ac.in

Is there an attendance policy for this program?
Yes. Participants are expected to have minimum 80% attendance.

Who will be issuing the certificate ?
iHub-Data, IIIT Hyderabad will be issuing the certificate of competency after completion of the course.

Are there any projects to work after the course ?
Those who complete the course with a good rating might be considered for: (a) summer internships (with stipend) (b) admission for MS program or, (c) working on research projects at IIIT Hyderabad.

Any internship/placement support ?
Participants who perform reasonably well would be extended opportunity to participate in long-term internship programs (with/without stipend) organised at IIIT Hyderabad.

☛ I am a working-professional. Can I join this course ?
This course is exclusively meant for undergraduate engineering students. For working professionals, the appropriate course is https://iiit-h.talentsprint.com/aiml/index.html

I 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/program.html. There could also be similarly named courses at Coursera or SWAYAM/NPTEL offered in fully online mode.

Announcement in Press: https://www.iiit.ac.in/news/StudentTrainingProgramonAI/ML/

Process Steps for Joining Weekend Training Program:

  • Heads of institutes will register with their credentials through direct contact with Ms. Fathimath Rifna, designated coordinator, at fathimath.rifna@ihub-data.iiit.ac.in
  • iHub-Data will verify and seek details of student toppers from heads of institutes.
  • Only two toppers from regular students, with an expected graduation year of 2025 are eligible. Admission would be restricted to two students per institution, recommended by HoD/Head of Institution. Institutions are expected to maintain gender equity while suggesting nominations.
  • Coordinator from iHub-Data will reach out to students with payment information. Students, who are within commuting distance from IIIT Hyderabad would only be considered to undergo the program.
  • Once selection is confirmed, names of students will appear below.
  • Students attempting to join this program by any other means would be disqualified. Reaching out to any official at IIIT or iHub-Data would also lead to automatic disqualification.
  • Admission will be limited to first 100 nominations for this program.
  • Selection of final list of students is at the sole discretion of Course Instructor.
  • Last date for receiving registrations from institutes is 16th May 2024.

However, for those who are unable to secure admission, please consider joining our online program “Foundations of Modern Machine Learning – 2024” which can be accessed through the following link: (Click here)

Regular Sessions starts from : 19 May 2024

Venue : D – 101, IIIT Hyderabad

Curriculum Outline

  • Introduction to ML
  • Machine Learning Components: Data, Model, Evaluation
  • Revisiting Nearest Neighbor Classification
  • Retrieval, Performance Evaluation and Metrics
  • Linear Classifier
  • Representing Textual Data
  • Perceptrons and gradient descent
  • Loss functions and gradient descent
  • Regression
  • Clustering
  • Feature selection and PCA
  • Multi Layer Perceptron
  • Probabilistic ML models
  • Deep Learning Architectures

Students Admitted to the Program:

Names of Students
AIML ID Names of Student
AIML20230201A. Alekhya
AIML20230202A.Karthik
AIML20230203Afreen Sultana
AIML20230204Aksa Siddiqui
AIML20230205Ashish Thatikonda
AIML20230206Asma Khanam
AIML20230207B Nithya Vaishnavi
AIML20230208B.Susmitha
AIML20230209Balina Sri Vaishnavi
AIML20230210Burle Sai Venkat Vardhan
AIML20230211Ch. Yamini
AIML20230212Chinthala Lalitha
AIML20230213Durgam Adithi
AIML20230214E. Pavan Kumar
AIML20230215G Neeharika
AIML20230216G. Sai Lohith Reddy
AIML20230217G.Shiva Tejaswini
AIML20230218G.Srija
AIML20230219Gruhesh Sri Sai Karthik Kurra
AIML20230220Guna Sai Smith Duddu
AIML20230221J. Manusha
AIML20230222J.Akshith
AIML20230223Juveria Yameen
AIML20230224K Sheeraja Manaswini
AIML20230225K. Likhitha Sree
AIML20230226Kamalshetty Tanusha
AIML20230227Karishma Upadhyay
AIML20230228Kasula Ranga Tanuj
AIML20230229Katari Easwari Avanthika
AIML20230230Katta Vagdevi
AIML20230231Kavya Morigadi
AIML20230232Konduru Bhargava Sai Karunya
AIML20230233Kotollu Esha
AIML20230234Kypa Ananya
AIML20230235L Saketh
AIML20230236Lakshmi Priya Yalamanchili
AIML20230237Lokesh Sunkara
AIML20230238M.Chethana Reddy
AIML20230239Mandala Surya Teja
AIML20230240Matli Shivacharani
AIML20230241Md.Jilani
AIML20230242Meghavath Hariprasad
AIML20230243Mohammad Abdul Rafay
AIML20230244Mohammed Abdul Azeem
AIML20230245Mohammed Faizan Ahmed
AIML20230246Mohd. Rafi Uddin Sadeq
AIML20230247N.Ruchika Reddy
AIML20230248N.V.Deepthi
AIML20230249Namrata Mokshagundam
AIML20230250Nasira Banu S S
AIML20230251Neeli Manisha
AIML20230252Noor Ul Hassan Amer
AIML20230253P Venkata Harsha Vardhan
AIML20230254P.Shivani Reddy
AIML20230255Pandala Akhila
AIML20230256Pasunuti Lahari
AIML20230257Pemmasani Jahnavi
AIML20230258Pippala Rakshitha
AIML20230259Pravallika Konkimalla
AIML20230260Rangampet Vilasini
AIML20230261Rishitha
AIML20230262S.Srichetan
AIML20230263Samiya Mahveen
AIML20230264Shaik Ashrafulla
AIML20230265Soumya Jajula
AIML20230266Sri Jaitra Saketh Goparaju
AIML20230267Sruthi Yaradi
AIML20230268T Shivani Reddy
AIML20230269T.V.L Prasanna
AIML20230270Tejashree Srigiri
AIML20230271Uddaraju Meghana
AIML20230272V G V P Mithrama
AIML20230273V Varshitha
AIML20230274V.Vaishnavi
AIML20230275Vallakatla Chaitanya
AIML20230276Yashwanth Adepu


Program Coordinators: