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.