IIT Kharagpur
AI4ICPS
Hands-on Approach to Advanced AI for Real-World Applications (HAAI) ++
About the programme
The Hands-on Approach to Advanced AI for Real-World Applications (HAAI) ++ is a 2-month certification programme offered by AI4ICPS of IIT Kharagpur in collaboration with TCS iON. This course is curated to help graduates and professionals to gain intermediate to advanced level of AI proficiency.
Designed and delivered by IIT professors and domain experts, the course offers a deep dive into generative models including GPT, BERT, T5, LLaMA, Falcon, and more. Gain hands-on expertise in Python (Advanced Level), Google Collaboratory, OpenAI API, GitHub Copilot, and more. Through interactive live sessions, hands-on training and a capstone project, learners will build the technical expertise needed to tackle complex industry-based challenges. Learners will be given certification based on their performance and top performers also get internship opportunities at AI4ICPS Hub.
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Glimpse of 'Certificate of Merit' Ceremony
Key highlights
80 hours of overall experiential learning
Live Lectures from IIT KGP faculties, IIT KGP researchers and industry experts
Modular quiz, tips and tricks, assignments and projects
Discussion room community
Industry projects and use cases
Live doubt clearing sessions by the experts
Certificate of Merit for top 10% to be awarded at the IIT campus
Interact with industry experts from TCS and others
Get access to public datasets, tutorials, coding assignments among others
Industry preparedness from AI4ICPS Hub
Resume prep guidance by AI4ICPS Hub
Top performers can get internship opportunities at AI4ICPS Hub
Learning outcomes
- Programming and Hands-on expertise in Advanced AI
- Strong foundation in Agentic AI
- Exposure to the latest development in Generative AI and LLMs
Learning outcomes
Develop Hands-on expertise in
Python (Advanced Level)
Google Colaboratory
OpenAI API
LangChain
GitHub Copilot
Explainability Libraries
Hugging Face
Open AI Codex
StarCoder
Potential Job Role
Potential Job Role
GPT3 Developer
ML Architect
AI Engineer
AI Architect
Machine Learning Engineer
Deep Learning Engineer
GenAI Developer
Generative AI Engineer
GPT Application Engineer
Data Scientist
Agentic AI Engineer
Prompt Engineer
LLM Engineer
Certificate programme recommended for
Students from any technical background having knowledge of basic programming (Python)
Individuals with Data Scientist, Data Analytics and other aligned job roles in the industry
Successful learners of HAAI Cohort 1, Cohort 2 and Cohort 3
Programme pedagogy
Expert-led live sessions
Get trained by the eminent professors of IIT KGP and industry experts
Recorded session videos
Learn anytime, anywhere and on any device for future reference
Industry use cases
Get real-world experience through use cases
Peer networking and expert connect
Improve learning network and ask queries to the experts through communities
Enriched with hands-on sessions
Learners will get ample scope of hands-on learning by getting real-world content and public datasets
Live doubt solving sessions
Get your queries answered by the experts during live classes
Digital certificate
Successful learners to receive a co-branded digital certificate upon successful completion of the programme
Dedicated learning management team
To guide and update for learning needs
Programme curriculum
The course syllabus will be delivered through a combination of live lectures, recorded session videos, community-based digital classrooms as applicable.
Programme Brochure
Please download the PDF for comprehensive schedule covering topics, industry and academia expert details.
Certificate Eligibility Criteria
Learners will be awarded a co-branded certificate upon successful completion of the programme.
- Certificate of Participation (CoP): If a learner has scored less than 35% in the course evaluation criteria, then a Certificate of Participation will be awarded.
- Certificate of Completion (CoC): If a learner has scored within the range of 35% to 69% in the course evaluation criteria, then a Certificate of Completion will be awarded.
- Certificate of Achievement (CoA): If a learner has scored greater than or equal to 70% in the course evaluation criteria, then a Certificate of Achievement will be awarded.
- Top 10% achievers would be awarded with Certificate of Merit (CoM).
Meet the Mentor(s)
Dr. Pawan Goyal is a faculty member in the Department of Computer Science and Engineering at IIT Kharagpur. He has received the Indian National Academy of Engineering Young Engineer Award and the Google AIML Research Award for his contribution towards research in Artificial Intelligence, Machine Learning and Natural Language Processing. Professor Goyal has published numerous research articles on Artificial Intelligence and Machine Learning. He is among the most popular teachers at IIT Kharagpur.
Dr. Koustav Rudra is an assistant professor of the AI Centre at IIT Kharagpur. Prior to joining IIT Kharagpur, he was an assistant professor of Computer Science and Engineering at the Indian Institute of Technology (ISM) Dhanbad. Earlier, he was a postdoctoral researcher at L3S Research Center, Leibniz University Hannover, and Northwestern University. He received his PhD from the Department of Computer Science and Engineering at IIT Kharagpur. He was a part of the Complex Network Research Group (CNeRG) at IIT Kharagpur.
Dr. Jiaul Hoque Paik is an assistant professor at the Centre of Excellence in Artificial Intelligence (CoEAI), IIT Kharagpur. He was a Postdoctoral Research Associate at The University of Maryland, College Park, USA. He has completed his PhD from the Indian Statistical Institute, Kolkata, in 2011.
Dr. Rajdeep Mukherjee is an Applied Scientist 2 at Amazon. He was a Senior AI Research Scientist with NielsenIQ. Prior to joining NielsenIQ, he interned at Amazon Science and IBM Research. He recently completed his PhD from the Department of CSE, IIT Kharagpur, primarily focusing on Natural Language Processing (NLP). He has extensively worked on domain-specific text summarization, aspect-based sentiment analysis, and using Large Language Models (LLMs) for solving E-commerce problems, and extreme classification in the finance domain. Currently at NielsenIQ, he is working on AI/NLP solutions for facilitating automation in market research. His research interests include Industry-grade Attribute-Value Prediction, Extreme Multi-label Classification, Numeracy and Faithfulness issues in LLMs, Generalization and Scalability of solutions for Information Extraction tasks using Instruction Tuning, and Parameter-Efficient Fine-Tuning.
Dr. Bishal Santra is a research engineer at Microsoft Research India, where he focuses on leveraging Large Language Models for developing better information retrieval systems. His expertise lies in natural language understanding, response generation, and evaluation of dialog systems - the core areas of his PhD thesis ("From Dialogue Representation to Response Generation: Deep Learning Techniques for Effective Dialogue Modeling") at the Indian Institute of Technology Kharagpur's Department of Computer Science and Engineering. His research has been featured in prominent conferences like ACL, NAACL, and EMNLP. He is a recipient of the prestigious Prime Minister Research Fellowship (PMRF 2018) and is a member of the Complex Network Research Group (CNeRG). He is a Research SDE-II at Microsoft Research. He completed his B.Tech, M.Tech and PhD from IIT Kharagpur.
Dr. Abhijnan Chakraborty is an Assistant Professor at the CSE department of IIT Kharagpur. He did his PhD from the department of CSE, IIT Kharagpur. Before joining to IIT Kharagpur, he was the Assistant Professor at IIT Delhi.
Dr. Plaban Bhowmick is an Assistant Professor at the Centre of Excellence in Artificial Intelligence (CoEAI) and G.S.Sanyal School of Telecommunication, IIT Kharagpur. Before joining IIT Kharagpur, he worked as a Research Scientist in TCS Innovation Labs for two years. He has completed his PhD and MS degrees in Computer Science and Engineering from IIT Kharagpur and completed his B.Tech degree from the University of Calcutta.
FAQs
Please take a look at the most frequently asked questions; you might have your query answered here.
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The certificate programme is recommended for:
- Students from any technical background having knowledge of basic programming (Python)
- Individuals with Data Scientist, Data Analytics and other aligned job roles in the industry
- Successful learners of HAAI Cohort 1, Cohort 2 and Cohort 3
- Click on the "Buy Now" button.
- Login with your TCS iON Digital Learning Hub credentials or sign up as a new user.
- After login/sign up, you will be asked to share your details required to complete your purchase. This includes your name, email ID, phone number and other details.
- In case of Buy Now: On successful submission of the form, you need to proceed to make the payment by clicking on "Click to Pay/Activate Code".
- In case of Activate Now: A pop-up window will open. Enter the Licence Code and click on the "Activate" button. You will be asked to share your details required to complete the application form. This includes your name, email ID, phone number and other details. Once the activation code and your details are successfully submitted, click on "Get Started/Launch" and you can view the purchased variant in "My Dashboard".
- You will receive a successful purchase message on your registered email ID/mobile number.
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This certificate programme is envisaged to help build a strong foundation across various streams through live lectures, hands-on implementation of advanced AI (Generative AI, LLMs, Agentic AI, Explainable AI) algorithms, assignments, quizzes, industry use cases, and mentorship from renowned industry and IIT Kharagpur faculty members.
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The duration of this programme is 8 weeks, where Live Lectures are planned every Saturday for four hours, including hands-on and doubt clearing sessions. There will be quizzes and assignments based on topics covered for the learners and there will be a capstone project at the end of the programme which will be evaluated.
- Certificate of Participation (CoP): If a learner has scored less than 35% in the course evaluation criteria, then a Certificate of Participation will be awarded.
- Certificate of Completion (CoC): If a learner has scored within the range of 35% to 69% in the course evaluation criteria, then a Certificate of Completion will be awarded.
- Certificate of Achievement (CoA): If a learner has scored greater than or equal to 70% in the course evaluation criteria, then a Certificate of Achievement will be awarded.
- Top 10% achievers would be awarded with Certificate of Merit (CoM).
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Learners will be awarded a co-branded digital certificate upon successful completion of the programme.
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Please note that the course fees is not refundable under any circumstances. Also, the course fee is not transferable for any other course on the TCS iON platform or for any other purpose. We will be with you at every step for your upskilling and professional growth needs.
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Yes. Learners can use the India Toll Free helpline - 1800 266 6282 or email us at info.tcsionhub@tcs.com.
