Advanced Certificate Programme in Machine Learning, Gen AI & LLMs for Business Applications
IITM Pravartak Technology Innovation Hub of IIT Madrasad
- Course Duration
10-11 Months
- Batch
02
- Commencement Date
11th January 2026
- Application Closure Date
Closing Soon
- Saturday's Session Timing
8 PM to 10 PM (2nd and 4th)
- Sunday's Session Timing
10 AM to 1 PM (All)
Programme Overview
Advanced Certificate Programme in Machine Learning, Gen AI & LLMs for Business Applications is designed to equip participants with the skills and knowledge required to harness the potential of Generative AI and Machine Learning technologies. Starting with foundational concepts in AI, mathematics, and machine learning, the programme progresses to advanced topics, including deep learning and generative models. The programme culminates with insights into emerging technologies and trends in Generative AI and ML.
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
Pedagogical Methodology
Jaro Expedite - Career Booster
Note: IITM Pravartak or Jaro Education do not guarantee or promise you a job or advancement in your existing position. Career services are simply provided as a service to help you manage your career in a proactive manner. Jaro Education provides the career services described here. IITM Pravartak is not involved in any way with the career services described above and offers no commitments.
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
1 Day Campus Immersion (optional)
Hands-on simulation
Certificate of Completion from IITM Pravartak
Learning Outcomes
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).
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
Note:- This is an indicative list of course topics and is subject to change as per IITM Pravartak’s discretion.
- Introduction to Deep Learning
- Python Tools for Deep Learning
- Practical Applications of Deep Learning
- Capstone Project: Deep Learning Application
Note:- This is an indicative list of course topics and is subject to change as per IITM Pravartak’s discretion.
- Introduction to Generative AI
- Variational Autoencoders (VAEs) and Diffusion Models
- Practical Applications of Generative AI
- Capstone Project: Generative AI Application
Note:- This is an indicative list of course topics and is subject to change as per IITM Pravartak’s discretion.
- 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
Note:- This is an indicative list of course topics and is subject to change as per IITM Pravartak’s discretion.
- Text-Based Applications of LLMs
- Image and Video Applications with LLMs
- Audio Applications of LLMs
- Capstone Project: Multimodal LLM Application
Note:- This is an indicative list of course topics and is subject to change as per IITM Pravartak’s discretion.
- Multimodal Generative AI Systems
- Customizing and Extending Generative AI Models
- Capstone Project: Integrated Generative AI Application
Note:- This is an indicative list of course topics and is subject to change as per IITM Pravartak’s discretion.
- Introduction to Productionizing AI Models
- Deploying AI Models with Python Tools
- End-to-End Pipeline for LLM and Generative AI Applications
Note:- This is an indicative list of course topics and is subject to change as per IITM Pravartak’s discretion.
Programme Fee Details
- Easy EMI options available
Application Fee
INR 1500/- + GSTProgramme Fee
INR 1,30,000/- + GSTInstalment Pattern
Instalment I
INR 60,000/- + GST As mentioned in the offer letterInstalment II
INR 40,000/- + GST 5th March 2026Instalment III
INR 30,000/- + GST 5th May 2026Earn 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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Start Referring Today! Start Referring Today!Frequently Asked Questions
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.
