\n IIT Bombay Certificate in Generative AI<\/a>\n <\/p>\n Learn Generative AI from IIT Bombay. Build hands-on skills in LangChain, LLMOps, and Agentic AI. Apply now!<\/p>\n The Certificate in Generative AI is a five-month, online, hands-on program tailored for professionals and STEM graduates. <\/p>\n\n\n\n Designed and delivered by expert faculty from the Indian Institute of Technology, Bombay, the curriculum emphasizes learning industry-relevant applications of Generative AI. <\/p>\n\n\n\n Learners start with AI essentials and Large Language Models (LLMs), progress to writing effective prompts, building \"copilot\" tools, and ultimately learn how to launch and secure multi-step AI workflows.<\/p>\n\n\n\n To ensure a comprehensive and flexible learning experience, the program features several key highlights:<\/p>\n\n\n\n 1. Prestigious Academic Standing<\/strong> 2. Specialized Focus on LLMOps and Security<\/strong> 3. Peer-to-Peer Networking Opportunities<\/strong> 4. Diverse, Real-World Project Portfolio:<\/strong> 5. Actionable Pedagogy<\/strong> This specialized course requires applicants to hold a Bachelor's degree in any discipline from a recognized university with a minimum aggregate of 50%. It is specifically tailored for:<\/p>\n\n\n\n The curriculum is structured into six comprehensive modules, enriched with sample projects:<\/p>\n\n\n\n Module 1: Foundations of Generative AI<\/strong> Module 2: Natural Language Processing with Generative AI<\/strong> Module 3: Multimodal AI <\/strong> Module 4: Designing LLM Workflows and Applications<\/strong> Module 5: Designing and Building AI Agents<\/strong> Module 6: Deploying, Securing, and Managing LLM Applications<\/strong> Sample Projects<\/strong> Upon completing this program, participants will be fully equipped to:<\/p>\n\n\n\n IIM Mumbai launches PG Diploma in Public Policy, admission via CAT<\/p>\n <\/div>\n <\/a>\n \n IIM-Mumbai launches PG Diploma in Public Policy, admissions based on CAT, GMAT, GRE<\/p>\n <\/div>\n <\/a>\n \n IIM Mumbai starts application process for Post Graduate Diploma Programme<\/p>\n <\/div>\n <\/a><\/div>\n <\/div>\n About the IIT Bombay Generative AI Program<\/strong><\/h2>\n\n\n\n
Program Highlights<\/strong><\/h2>\n\n\n\n
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What Makes This Program Unique?<\/strong><\/h2>\n\n\n\n
IIT Bombay is a premier institution, holding the 3rd spot in the NIRF India Overall Rankings 2025 and the 1st spot in the NIRF India Engineering Rankings 2025. Globally, it ranks 2nd in India according to the QS World University Rankings 2025.<\/p>\n\n\n\n
<\/strong>Unlike introductory courses, this curriculum features a dedicated module on deploying, securing, and managing LLM applications, covering crucial operational skills like CI\/CD for LLM apps, performance monitoring, and mitigating vulnerabilities.<\/p>\n\n\n\n
The online curriculum is designed to foster a collaborative environment, offering peer-to-peer learning and networking opportunities for enrolled working professionals.<\/p>\n\n\n\n
Learners build a highly versatile portfolio by tackling sample projects across various business domains, such as developing a Brand Marketing Content Generation Assistant, an E-commerce Customer Support Agent, and tools for Financial Analysis and Summary Report Generation.<\/p>\n\n\n\n
The curriculum bridges the gap between theory and industry application through hands-on projects, ensuring learners build clear standards for AI security, privacy, and evaluation.<\/p>\n\n\n\nWho Should Enroll?<\/strong><\/h2>\n\n\n\n
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What You Will Learn?<\/strong><\/h2>\n\n\n\n
Understand core machine learning concepts, Python setups, and how modern models encode meaning numerically using embeddings.<\/p>\n\n\n\n
Explore attention mechanisms and transformers, applying these mechanics to practical prompt engineering, text generation, and classification tasks.<\/p>\n\n\n\n
Learn about diffusion-based foundation models and how text pairs with images and audio to build and evaluate simple multimodal applications.<\/p>\n\n\n\n
Focus on production-ready workflows using Retrieval-Augmented Generation (RAG) to ground models in enterprise data, alongside selective fine-tuning strategies.<\/p>\n\n\n\n
Translate single prompts into multi-step systems by building single-agent flows with memory and tool integration, eventually moving to multi-agent collaboration.<\/p>\n\n\n\n
Learn CI\/CD for LLM apps, live monitoring (LLMOps) for latency and drift, and how to implement data governance and operational controls.<\/p>\n\n\n\n
Learners apply their skills through real-world tasks like building an E-commerce Customer Support Agent<\/strong>, creating a Financial Analysis and Summary Report Generation<\/strong> tool, or developing a Medical Assistant for First Aid using a Fine-tuned LLM<\/strong>.<\/p>\n\n\n\nKey Learning Outcomes<\/strong><\/h2>\n\n\n\n
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Media Coverage<\/h2>\n
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