Step into the world of Generative AI and Large Language Models (LLMs) with this immersive, project-driven course designed to take you from beginner to professional-level mastery. You’ll learn to build production-grade AI applications using LangChain, Llama 3, BGE, Faiss, and Milvus — the same frameworks that power real-world enterprise and research-grade AI systems.
The course begins with a deep dive into the core concepts of Transformers, GANs, and Embeddings, helping you understand how generative models process and generate human-like content. You’ll then explore Retrieval-Augmented Generation (RAG), vector databases, and multimodal AI to create powerful, context-aware, and intelligent solutions for text, image, and video understanding.
Through 12+ guided projects, you’ll build AI chatbots, document retrieval systems, image generators, similarity search engines, and video retrieval applications using cutting-edge models like VILA 2.0 and T5. Every module focuses on hands-on learning, ensuring you can confidently apply each technique to real-world use cases.
By the end of this course, you’ll master the full Generative AI pipeline — from data embedding, model chaining, fine-tuning, and optimization to scalable deployment across edge, cloud, or hybrid environments.
Whether you’re an AI engineer, Python developer, data scientist, or tech innovator, this course equips you with the knowledge, confidence, and practical experience to design, build, and deploy next-generation LLM and Vision AI systems from scratch.
