Complete Generative AI Mastery Course: LLM, RAG & Vision App, Build real-world Generative AI apps using Python, LangChain, LLMs, RAG & Vision AI with 12+ hands-on projects mastery.
Course Description
Step into the world of Generative AI and Large Language Models (LLMs) with this Complete Generative AI Mastery Course, an immersive, project-driven program designed to take you from fundamentals to professional-level mastery. In this Generative AI course, you will build production-grade AI applications using industry-standard frameworks such as LangChain, LLaMA 3, FAISS, and Milvus — the same technologies powering real-world enterprise and research-grade AI systems.
The course begins with a deep dive into the core concepts of Transformers, GANs, embeddings, and foundation models, helping you understand how modern generative models process and generate human-like content. You will 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, hands-on projects, you will build:
- AI chatbots powered by LLMs
- Intelligent document retrieval & RAG systems
- Image generation & Vision AI applications
- Semantic similarity search engines
- AI-powered video retrieval systems
You will work with cutting-edge models and architectures, including T5 and multimodal models, while applying best practices for real-world system design.
By the end of this course, you will master the complete Generative AI pipeline — from data ingestion, embeddings, model chaining, fine-tuning, and optimization to scalable deployment across edge, cloud, and hybrid environments.
Whether you are a Python developer, AI enthusiast, data scientist, researcher, or tech innovator, this course equips you with the practical skills and deep technical understanding needed to design, build, and deploy next-generation LLM and Vision AI systems from scratch.
