Student Training Program on AI/ML
This 24-week student-training program on artificial intelligence/machine learning is intended for undergraduate engineering students who are in their second-year (2023 B Tech Admission batch), pursuing 4-year B Tech programs approved by AICTE, in technical institutions in and around Hyderabad.
Students, who are within commuting distance from IIIT Hyderabad would only be considered to undergo 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 02:00 pm to 04:00 pm – 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 administered by faculty members 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 on a weekly-basis. There won’t be other modes of evaluation.
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 lectures.
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?
A Discord channel would be setup to enable communication, primarily to discuss technical advancements on AI/ML
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 fathimath.rifna@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 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 get a preference for lateral admission for dual-degree program at IIIT Hyderabad, provided they qualify the LEEE (lateral entry entrance examination) of IIIT-H.
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 courses on same topics at Coursera or SWAYAM/NPTEL offered in fully online mode.
Process Steps for Joining Weekend Training Program:
- Students are expected to have performed decently at Board Exams (X, XII)
- Participants are also expected to have a keen interest to learn machine learning and have an interest in computer programming
- iHub-Data will verify and seek details of student applicants from heads of departments/institutes.
- Only students enrolled in second year of undergraduate B Tech program (any branch) would be admitted
- Admission will be limited to first 100 registrations on a first-come first-serve basis
- Last date for fee-payment/registration is 09 September 2024 .
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
Regular Sessions starts from : 29 Sep 2024
Venue : D-101, Himalaya Block, IIIT Hyderabad
Thank you for your overwhelming response!
We sincerely appreciate the enthusiastic interest shown in the Six-Month AI/ML Training Program at IIIT Hyderabad. Admissions have been closed for this program. Kindly note that no further inquiries regarding admissions will be entertained. Please watch out for our next announcement in December this year.
Verified students:
| A Hemanth Kumar | Ganasala Kiran Kumar | Nandigama Ramanuja Reddy |
| Abhinav Motukuri | Gangavaram Yashaswini Reddy | Nimmagadda.Laalithya |
| Abubakar Siddiqi Mohammed | Gollapally Veda Spoorthi | Nittala Siva Pradyumna |
| Adari Soumya Madhuri | Gopimadhav Ponnala | Nuthalapati Bhavya Sree |
| Akula Anshul Rao | Gottumukkala Madhuri | Pagadala Sri Harshini |
| Alahari Sai Nikhil | Gunaganuru Sirisha | Palai Siri Chandana |
| Ameerpeta Srinidh | I Maithreyi Sharma | Patil Tejas |
| Amithi Shangari | Indukuri Prithvi Raj | Pidaparthi Krishna Veerabadra Karthikeya |
| Amogh Raj Godavarthy | Joseph Thomas | Prasanth Akulate |
| Amogha Sri Kommera | K V D S Pragna | Puchhakayala Srinu |
| Appana Sri Vijaya Satvika | K.Naga Pranathi | Radha Praneetha Velagala |
| AVK Akshayapriya | Kadukuntla Srividya | Rushika Sree Pillalamarri |
| Badineni Harshith | Kalikota Parthiv | Samjith Raj Bondla |
| Badrinath Achanta | Kambhampati Advaith | Sanagala Naga Santoshi Soundarya Lahari |
| Basetti Daksha | Kaparthi Manikanta | Saraswatula Samhitha |
| Batharaju Akshaya | Karnati Sathya Venkata Kushwanth | Shailaja Voore |
| Bhagath Veggalam | Kashyap Vattikonda | Shresth Agarwal |
| Bhavani Shankar Arugonda | Kilari Praneeth Sai | Soma Phani Harika |
| Bheemavarapu Khushal Viswas | Koilakonda Khushi | Sri Hrudhya Mediga |
| Budama Lakshmi Pragnamanasvi | Kommana Sri Krishna Ramesh | Sri Javali Kotha |
| Buddaraju Retvik Varma | Konda Ashwith Nagendra | Sri Tapasya Alapati |
| Bureddy Sai Poojitha | Kota Sreeja Reddy | Sri Vigna Reddy Dandu |
| Burgu Shiva Mani Sai | Kuntla Srisahithi | Swapniel Jasper Saripalli |
| Butla Vishnudev | Kuppala Sai Lakshmi Tejitha | Talasila Snigdha |
| Chalasani Sai Spandana | Lanka Lakshmi Sai Sruthi | Tanush Kadari |
| Chenna Vaibhav | M Rachana | Tasneem Shaik |
| Chidumulla Sai Pavan Reddy | M.Narendra Kumar Reddy | Tokala Janardhan Yadav |
| Chintalapudi Venkata Seershika | Mallela Sneha Priya | Vajinapalli Abhinav |
| Chintham Akshaya | Manasvivek Bondugula | Vasireddy Satya Siddhartha |
| Dantu Sai Charan | Mir Inayat Ahmed | Venkata Dinesh Kumar Gorantla |
| Devanaboyina Chandana | Mitta Pranav Reddy | Vongur Manasvi |
| Yakkati Gunavardhan | ||
| Yayavaram Sai Sahasra |
Verification under progress:
| Annam Dhanvi |
| B Vikyath Patil |
| Bodla Vaishnavi Srilakshmi Santhoshi |
| Chenikala Teja Sree |
| J Krishna Manasa |
| Kanugula Hari Krishna |
| Kunaparaju J V S R Arun Varma |
| Mohammad Sana Tabassum |
| Penmatsa Sri Teja Varma |
| Pula Pranitha |
| Shaik Swabira Chand |
| Tegulapalle Venkata Dinesh Reddy |
| Vemuri Sai Soumya |
Program Coordinator:
Mentor:
Faculty :
CK Raju PhD
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