Udemy – Generative AI with AI Agents & MCP for Developers 2025-5

What you will learn:

• Principles of generative artificial intelligence and its role in modern development.
• An introduction to large language models (LLM) and how they power intelligent applications.
• Fundamentals of Generative AI Architecture – Understanding the core components of a Generative AI application.
• Advanced architecture of generative AI applications for scalable and modular systems.
• How to apply the Retrieval Augmentative Generation (RAG) technique for improved responses.
• Choosing the right orchestration framework for building LLM-based applications.
• LangChain – A modern framework for LLM orchestration.
• LangChain Expression Language (LCEL) – Build AI streams with clean, declarative syntax.
• Deep understanding of the LangChain ecosystem for agents, tools, memory, and chains.
• Mastering Prompt Engineering – Learn how to create optimal prompts for LLMs.
• Level 1 Generative AI Programs – Basic AI-based tools and assistants.
• LlamaIndex – An alternative to LangChain for RAG and orchestration of LLM applications.
• LLMOps (Large Language Model Operations) – Management and monitoring of LLM programs.
• Level 2 Generative AI Programs – Building intermediate systems with memory, tools, and retrieval.
• Development of multi-modal generative artificial intelligence programs (integration of text, image, sound).
• Building and deploying AI agents and multi-agent systems using orchestration frameworks.
• Level 3 (Professional) Generative AI Applications – Real-time, scalable, production-ready systems.
• CI/CD for Generative AI – Deploy generative AI applications with automated pipelines.
• Understanding and implementing MCP (Model Context Protocol).
• Practical projects – from AI assistants to autonomous agents and RAG-based applications.
• Fine-tune LLMs for specific domain use cases and better performance.

This course is suitable for people who:

• Software developers and engineers interested in building productive AI programs.
• Data scientists and machine learning engineers looking to integrate LLMs into real-world projects.
• AI enthusiasts who are eager to explore advanced concepts such as AI agents, MCP, RAG, and LLMOps.
• Students and researchers seeking practical experience in developing AI-based applications.
• Anyone who is curious to build complete, production-ready generative AI systems, from beginner to advanced.

Installation Guide

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Quality: 720p