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Introduction to Full Stack Generative AI

Master end-to-end Generative AI development β€” from building intelligent models to deploying production-ready applications that shape the next era of innovation.

πŸ“Œ Course Description β€” 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 β€” 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 β€” 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 β€” today.

πŸ’‘ What You’ll Learn

βœ” Fundamentals of Generative AI and Transformer Architectures

βœ” Prompt Engineering & LLM Behavior Optimization

βœ” Fine-tuning & Domain Adaptation Techniques

βœ” RAG (Retrieval-Augmented Generation) with Vector Databases

βœ” Image, Text, and Multimodal Generation Tools

βœ” Backend Integration using APIs and FastAPI

βœ” Building Full-Scale AI Products & Agents

βœ” Containerization, Deployment & MLOps workflows

βœ” Security, Safety & Ethical considerations in GenAI

🎯 Who Should Enroll?

  • Students aspiring to build careers in AI, ML, and advanced software development
  • Working professionals wanting to upskill for the AI-driven future
  • Startup founders and innovators building AI-powered products
  • Researchers and tech enthusiasts exploring real-world GenAI impact

πŸš€ Capstone Project

Develop and deploy a fully-featured Generative AI application β€” integrating custom-tuned models, vector search, and a production-ready UI.

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