Description
Complete Generative AI Mastery Course: LLM, RAG & Vision App is a course on how to build advanced generative AI systems by combining large language models (LLM), retrieval-augmented generation (RAG), and computer vision applications, published by Udemy Online Academy. You will learn the fundamental concepts of generative AI and transformation-based models, how to integrate RAG pipelines to enable intelligent, knowledge-aware responses, and how to process and understand visual data using AI to build intelligent vision applications. The course guides you through real-world projects where text and image capabilities work together, showing you how to architect scalable AI systems, manage data streams and context, and optimize performance for production-ready solutions.
Dive into the world of generative AI and large language models (LLM) with this comprehensive course on Generative AI Mastery, a comprehensive, project-based program designed to take you from the basics to professional-level proficiency. In this Generative AI course, you’ll build production-level AI applications using industry-standard frameworks like LangChain, LLaMA 3, FAISS, and Milvus—the same technologies that power real-world enterprise and research AI systems. The course begins with an in-depth look at the core concepts of transformers, GANs, embeddings, and foundational models, helping you understand how modern generative models process and produce human-like content. You’ll then explore Retrieval Augmentative Generation (RAG), vector databases, and multi-modal AI to build powerful, context-aware, and intelligent solutions for understanding text, images, and video.
What you will learn in Complete Generative AI Mastery Course: LLM, RAG & Vision App:
- Understand the core concepts of generative AI, including transformers, GANs, autoencoders, and RAG frameworks
- Build end-to-end LLM programs using LangChain, Llama 3, BGE, and Faiss for text and document intelligence
- Implement generative retrieval-augmented (RAG) systems with vector databases like Milvus for contextual AI chatbots
- Develop custom GAN models and use persistent propagation for realistic image generation and creative AI workflows
- Master text-image similarity search with CLIP embeddings and large-scale vector indexing
- Build multi-modal 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
- Transformer’s built-in understanding, from Multi-head attention, positional embeddings, and feedforward blocks
- Autoencoders and variable autoencoders (VAEs) for noise removal, reconstruction, and latent space learning
- and …
Course specifications
Publisher: Udemy
Instructors: Muhammad Yaqoob G
Language: English
Level: Introductory to Advanced
Number of Lessons: 46
Duration: 8 hours and 17 minutes
Course topics
Complete Generative AI Mastery Course: LLM, RAG & Vision App Prerequisites
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.
Pictures
Complete Generative AI Mastery Course: LLM, RAG & Vision App introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
10.5 GB
