
Udemy – Generative AI with AI Agents & MCP for Developers 2025-5
English | Tutorial | Size: 19.58 GB
Master Generative AI, Model Context Protocol (MCP), and build cutting-edge AI Agent Systems with Python & LLMs
This hands-on course teaches you how to build professional level Generative AI Application, intelligent, autonomous AI Agents using MCP (Model Context Protocol) and modern LLM frameworks.
Whether you’re an AI beginner or an experienced developer, this course will take you step-by-step through the tools, strategies, and architectures that power modern GenAI applications.
What You’ll Learn:
– Introduction to Generative AI and its role in modern development
– Introduction to Large Language Models (LLMs) and how they power intelligent applications
– Generative AI Architecture Basics – understand the core components of a Gen AI application
– Advanced Gen AI Application Architecture for scalable and modular systems
– How to apply the Retrieval-Augmented Generation (RAG) technique for enhanced responses
– Choosing the Right Orchestration Framework for building LLM-powered apps
– LangChain – A modern framework for LLM orchestration
– LangChain Expression Language (LCEL) – Build AI flows with clean, declarative syntax
– Deep dive into the LangChain Ecosystem for agents, tools, memory, and chains
– Mastering Prompt Engineering – Learn to craft optimal prompts for LLMs
– Level 1 Gen AI Applications – Basic AI-powered tools and assistants
– LlamaIndex – An alternative to LangChain for RAG and LLM app orchestration
– LLMOps (Large Language Model Operations) – Manage and monitor LLM Apps
– Level 2 Gen AI Applications – Build intermediate systems with memory, tools, and retrieval
– Develop Multimodal Gen AI Applications (text, image, audio integration)
– Build and deploy AI Agents & Multi-Agent Systems using orchestration frameworks
– Level 3 (Professional) Gen AI Applications – Real-time, scalable, production-ready systems
– CI/CD for Gen AI – Deploy your Gen AI apps with automated pipelines
– Understand and implement MCP (Model Context Protocol)
– Hands-on Projects – From AI assistants to autonomous agents and RAG-powered apps
– Fine-tuning LLMs for domain-specific use cases and better performance
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