Complete Generative AI Mastery Course LLM, RAG & Vision App

Complete Generative AI Mastery Course LLM, RAG & Vision App - Printable Version

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Complete Generative AI Mastery Course LLM, RAG & Vision App - Courses2025 - 02-18-2026

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Free Download Complete Generative AI Mastery Course LLM, RAG & Vision App
Last updated 12/2025
Created by Muhammad Yaqoob G
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 46 Lectures ( 8h 17m ) | Size: 10.4 GB

Build real-world Generative AI apps using Python, LangChain, LLMs, RAG & Vision AI with 12+ hands-on projects mastery
[h2]What you'll learn[/h2]
✓ Understand the core concepts of Generative AI, including Transformers, GANs, Autoencoders, and RAG frameworks
✓ Build end-to-end LLM applications using LangChain, Llama 3, BGE, and Faiss for text and document intelligence
✓ Implement Retrieval-Augmented Generation (RAG) systems with vector databases like Milvus for contextual AI chatbots
✓ Develop custom GAN models and use Stable Diffusion for realistic image generation and creative AI workflows
✓ Master text-image similarity search with CLIP embeddings and large-scale vector indexing
✓ Create multimodal AI systems combining text, image, and video understanding using VILA 2.0 and T5
✓ Learn how to train, fine-tune, and deploy Generative AI models for real-world use cases
✓ Understand transformer internals, including multi-head attention, positional embeddings, and feedforward blocks
✓ Explore Autoencoders and Variational Autoencoders (VAE) for denoising, reconstruction, and latent-space learning
✓ Build AI-powered applications like chatbots, video search systems, and intelligent assistants from scratch
✓ Learn to integrate Faiss and Milvus for high-performance vector search and retrieval in production
✓ Develop production-ready AI pipelines, covering embedding generation, inference optimization, and deployment
✓ Gain hands-on experience through 12+ advanced projects blending theory with practical coding
✓ Acquire job-ready AI engineering skills to design, build, and deploy scalable Generative AI solutions
[h2]Requirements[/h2]
● Basic Python programming knowledge is required. Know variables, data types, control flow, functions, and basic scripting to follow along with labs.
● Windows PC or Laptop with 4GB+ RAM recommended. Ensure Windows OS is installed, there is sufficient disk space for datasets, and essential developer tools ready
● A GPU is optional but highly recommended for faster training and real-time experiments; without one, expect much longer training duration and slower performance.
● The projects and exercises were developed and tested on Windows systems; guides, scripts, and troubleshooting steps are tailored exclusively for Windows learners.
[h2]Description[/h2]
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.
[h2]Who this course is for[/h2]
■ 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.
[h2]Homepage[/h2]

Code:
https://www.udemy.com/course/generative-ai-mastery-course-build-llm-rag-vision-ai-agents-apps