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

Preview this Course

GET COUPON CODE

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.

Who this course is for:

• This course is designed for learners who want to go beyond theory and gain hands-on mastery of Generative AI tools, models, and real-world applications.
• AI & ML Beginners who have basic Python knowledge and want to quickly step into the world of Generative AI with structured, practical guidance.
• Data Scientists & ML Engineers looking to strengthen their skills in autoencoders, GANs, transformers, retrieval-augmented generation (RAG), and diffusion models.
• Software Developers interested in integrating generative AI into apps with FastAPI, Tkinter, LangChain, Milvus/FAISS, and Docker deployments.
• Researchers & Students who want to deeply understand how models like GPT, BERT, LLaMA, and Stable Diffusion work internally and apply them in projects.
• Tech Enthusiasts eager to explore generative applications such as image denoising, text-to-image generation, AI-powered search, face recognition, video similarity, and multimodal tasks.
• Entrepreneurs & Innovators planning to build AI-driven products in fields like chatbots, recommendation systems, creative design, surveillance, and smart automation.
• No prior deep learning expertise is strictly required, but familiarity with Python and basic ML concepts (supervised vs. unsupervised learning) will help you get the most out of this course.