Student Training Program on AI/ML – Dec 2023
– Weekend Classes at IIIT Hyderabad
This 6-month student-training program on artificial intelligence/machine learning is intended for undergraduate engineering students pursuing 4-year B Tech programs approved by AICTE, in technical institutions in and around Hyderabad.
Admission would be restricted to students, in their pre-final/final year of study, and who are duly recommended by HoD/Head of Institution. Students, who are within commuting distance from IIIT Hyderabad would only be considered to undergo the program. Other students are strongly discouraged from applying for admission.
The course comprises of a mix of theory sessions with accompanying practical tutorial sessions on topics related to AI/ML, classes for which would be conducted during weekends – on all Sundays, from 08:30 am to 11:30 am.
Last date to apply : 11 November 2023
More details of application : With your Principal/Head of Department
If your Principal/HoD hasn’t received our communication, please mail their details to us at: career-programs@ihub-data.iiit.ac.in
Important Information for Aptitude Test:
Date of Aptitude Test: November 18th, Saturday at 8:00 PM
Mode of Aptitude Test : Online
Method of Test Delivery: The Google Form link will be sent to your registered Gmail ID, 5 min prior to commencement of exam (7:55pm)
Precautions for Students during the Exam:
- Please ensure you have a stable internet connection.
- Use a quiet and well-lit environment to take the test.
- Have necessary stationery and devices ready.
- Read and understand the test guidelines provided before starting the exam.
- Strictly adhere to the given time limits for each section.
- Disable any unnecessary applications or notifications on your device.
- Submit answers well before deadline – delayed submissions will not be evaluated.
Subjects Covered in the Aptitude Test:
- General Aptitude
- Logic
- Probability
- Linear Algebra
- Python
- Machine Learning
Important Warning:
Any attempt to reach out to officials at iHub-Data or IIITH on matters pertaining to admission would result in automatic disqualification.
Due to limited number of seats, only two students per institution would be admitted.
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 members of faculty with considerable AI/ML expertise.
What is the expected time commitment?
For maximum program benefits, participants are required to dedicate at least three to five hours every week.
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 (Sunday).
What if I miss a class?
It is advisable not to miss the sessions with the faculty. Certificate issuance heavily relies on attendance.
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 expected to participate in the program.
Are there any communication groups on WhatsApp, Telegram etc for the offline program on Modern Machine Learning?
A Discord channel would be created for all students.
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 75% attendance.
Who will be issuing the certificate ?
iHub-Data, IIIT Hyderabad would 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 (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 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.
What type of questions would be asked in the aptitude test?
General reasoning skills and fundamentals of few core subjects.
My name appears in the shortlist prepared for AIML. What should I do next?
You should get an email from ihub-data containing details of actions to be completed.
Regular Sessions from: 03 December 2023
Venue: Vindhya SH1, C6 – Vindhya Block, IIIT Hyderabad
Curriculum Outline
- Introduction to ML
- Machine Learning Components: Data, Model, Evaluation
- Revisiting Nearest Neighbor Classification
- Retrieval, Performance Evaluation and Metrics
- Linear Classifier, Linear SVMs
- 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
Participants List
Note: Those who want to pursue training programs on AIML from IIITH can register for UG Add-on Program, FMML Program, or Minor Degree Program – all of which would commence from May 2024 onwards.
We thank you for showing interest in the Weekend AIML program at IIITH.
[Registrations for AIML Weekend Program for December 2023 have been closed.]
Certificate of Completion
Certificates were issued to participants of the Student Training Program on AIML:
Program Coordinators:
Teaching Assistants:
