
- Course Duration
8-10 Months
- Mode
Hybrid
- Commencement Date
9th February 2025
- Application Closure Date
Closed
- Session Timing
Sunday, 10:00 AM to 1:00 PM
Programme Overview
Admission Criteria

Eligibility Criteria
- Qualification: Graduate/4-year Engineering/Technical Degree/B.Sc/BCA/M.Sc/MCA from a recognized university (UGC/AICTE/DEC/AIU/State Government/recognized international universities)
- Minimum 50% and above is required for qualification
- Industry Targeting (Preference): IT, Tech, Software, Engineering Research, Business Analytics, etc.
- Professionals from a tech background must have a minimum of 1 year of work experience
Screening and Selection
- Professionals satisfying the eligibility criteria with at least one year of background will be admitted to the course
About IITM Pravartak
IITM Pravartak Technologies Foundation is a section 08 Company housing the Technology Innovation Hub on Sensors, Networking, Actuators, and Control Systems (SNACS). IITM Pravartak is funded by the Department of Science and Technology, Government of India, under its National Mission on Interdisciplinary Cyber-Physical Systems and hosted as a Technology Innovation Hub (TIH) by IIT Madras. The IITM Pravartak Technology Innovation Hub aims to focus on new knowledge in the SNACS area through extensive and application-oriented research. IITM-PTF gladly takes the role of preparing young India for the next generation of world-class technologies. The NM-ICPS is a comprehensive Mission aimed at complete convergence with all stakeholders by establishing strong linkages between academia, industry, Government, and International Organizations.

Programme Highlights
Live Online Teaching by the Faculty of IIT Madras
Industry-led Pedagogy
2 Days of Campus Immersion (optional)
Hands-on simulation
Certificate of Completion from IITM Pravartak
Admission Process
- 1
Eligibility of Applicant
- 2
Application Submission
- 3
Screening & Shortlisting
- 4
Admission & Fee Payment
- 5
Book your Seat
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Syllabus Breakdown
- Introduction to Machine Learning
- Python Tools for Machine Learning
- Practical Applications of Machine Learning
- Capstone Project: Machine Learning Application
- Introduction to Deep Learning
- Python Tools for Deep Learning
- Practical Applications of Deep Learning
- Capstone Project: Deep Learning Application
- Introduction to Generative AI
- Variational Autoencoders (VAEs) and Diffusion Models
- Practical Applications of Generative AI
- Capstone Project: Generative AI Application
- Introduction to Large Language Models (LLMs)
- Fine-Tuning LLMs
- Building Custom AI Agents with LangChain
- Retrieval-Augmented Generation (RAG)
- Capstone Project: LLM and RAG Application
- Text-Based Applications of LLMs
- Image and Video Applications with LLMs
- Audio Applications of LLMs
- Capstone Project: Multimodal LLM Application
- Multimodal Generative AI Systems
- Customizing and Extending Generative AI Models
- Capstone Project: Integrated Generative AI Application
- Introduction to Productionizing AI Models
- Deploying AI Models with Python Tools
- End-to-End Pipeline for LLM and Generative AI Applications
Programme Fee Details

- Easy EMI options available
Application Fee
INR 1500/- + GSTProgramme Fee
INR 1,30,000/- + GSTInstallment Pattern

Instalment I
INR 60,000/- + GST 3 days from offerInstalment II
INR 40,000/- + GST 5th March 2025Instalment III
INR 30,000/- + GST 5th May 2025Earn a Career Certificate
- Participants who meet the evaluation criteria, which includes successfully completing the projects conducted by the faculty, and fulfill the necessary attendance criteria, specifically a minimum requirement of 70%, will receive a ‘Certification of Completion.’’

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The duration of the programme is 8-10 months.
- To qualify, candidates should possess a Graduate or 4-year Engineering/Technical Degree, B.Sc, BCA, M.Sc, or MCA from a recognized university, such as those accredited by UGC, AICTE, DEC, AIU, State Government, or other recognized international institutions.
- Plus a minimum score of 50% or above is required for qualification.
- The candidates are from diverse industries: IT, Technology, Software, Engineering Research, Business Analytics, and related fields are ideal to apply for this intake.
- Additionally, professionals from a tech background must possess at least 1 year of work experience.
Upon completion of this programme, participants will be well-equipped to pursue diverse career opportunities in the rapidly expanding field of AI and ML.
- Acquire a solid understanding of the fundamental concepts of AI, ML, and emerging technologies.
- Apply theoretical knowledge through hands-on projects, including text generation with GPT models.
- Acquire specialised knowledge in generative AI, including GANs, VAEs, large language models, and reinforcement learning for generative tasks.
- Explore diverse applications of AI in image processing, speech processing, text processing, chatbots, and natural language processing (NLP).
The primary goal of this programme is to equip working professionals with knowledge about state-of-the-art techniques such as Generative AI, GPTs, text generation and Quantum technologies. Also, the program will focus on developing the skills of participants in this field using various pedagogy techniques such as online classes, tutorial sessions on Python, projects and mini quizzes while providing relevant reference materials.
IITM Pravartak does not provide any career support related services including interviews, placements, etc. Jaro Education provides certain services that are mentioned on the programme webpage. Neither IITM Pravartak nor Jaro Education can guarantee you a fresh job or promotion in your current job.