Full Stack Generative AI (2 years Validity with Monthly Live Doubt Sessions)
📌 Course Description — Full Stack Generative AI
Generative AI is reshaping how the world creates content, builds products, and solves complex problems. This course is designed to take you on a comprehensive journey through the full stack of Generative AI systems — empowering you to become a job-ready AI developer capable of building and deploying large-scale AI applications.
Starting from the fundamentals of deep learning and modern transformer architectures, you will explore how cutting-edge models like GPT, LLaMA, Stable Diffusion, and other foundation models learn to generate language, images, audio, and code. You will gain hands-on experience with prompt engineering, fine-tuning, instruction tuning, Retrieval-Augmented Generation (RAG), and alignment techniques that make AI models more accurate, reliable, and domain-specific.
But we don’t stop at model development. You will learn full-stack implementation — integrating GenAI into real-world applications using backend frameworks, vector databases, scalable cloud infrastructure, and MLOps best practices. You’ll build chatbots, multimodal assistants, AI agents, and enterprise-grade solutions that can efficiently handle production workloads.
By the end of this course, you’ll have the knowledge and confidence to design and deploy your own state-of-the-art generative AI systems, contributing to tomorrow’s intelligent innovations — today.
💡 What You’ll Learn
✔ Fundamentals of Generative AI and Transformer Architectures
✔ Prompt Engineering & LLM Behavior Optimization
✔ Fine-tuning & Domain Adaptation Techniques
✔ RAG (Retrieval-Augmented Generation) with Vector Databases
✔ Image, Text, and Multimodal Generation Tools
✔ Backend Integration using APIs and FastAPI
✔ Building Full-Scale AI Products & Agents
✔ Containerization, Deployment & MLOps workflows
✔ Security, Safety & Ethical considerations in GenAI
🎯 Who Should Enroll?
🚀 Capstone Project
Develop and deploy a fully-featured Generative AI application — integrating custom-tuned models, vector search, and a production-ready UI.