Description
LangGraph Masterclass 2026: OpenAI Agents, Chains, MCP, A2A. This comprehensive course teaches you how to build and develop AI Agents using LangGraph and Python from scratch to advanced. The comprehensive LangGraph Masterclass 2026 provides learners with all the concepts and tools necessary to deeply understand and practically build AI Agents and Agentic AI from scratch. This course requires no prior experience in AI or machine learning, and just a sense of curiosity and a basic familiarity with the Python programming language is enough to get started. The training begins by answering the most fundamental question possible: what exactly is an AI agent and what does it do? Then, step by step and section by section, learners implement the various components of an intelligent system, including adding tools, reasoning loops, memory, and coordination between multiple agents, over 15 well-structured sections. The learning structure in all parts of this course follows a very regular and standard pattern. Each part begins with a video session that explains the concepts in a very simple and clear language and then continues with a practical coding notebook in Python in which learners build a project using real data. Using a consistent dataset throughout the course ensures that students always have a clear understanding of the behavior and reasons for intelligent agent decisions. The content of this training covers innovative topics such as ReAct agents for reasoning and automatic invocation of tools, multi-agent systems for collaboration and delegation of tasks, Model Texture Protocol (MCP) as a new global standard for connecting agents to tools, agent-to-agent (A2A) communication, building memory and RAG systems for document search, creating guardrails for security and debug, and finally deploying a project with FastAPI.
What you will learn
- Building AI agents from scratch: Improve your skills from scratch to fully building intelligent agents with Python without the need for prior AI knowledge.
- Understanding industrial mechanisms: Familiarity with how AI agents work in large companies and the patterns used in real operational environments.
- Mastery of specialized concepts and terminology: Gain sufficient knowledge to participate in specialized discussions about new AI agents, tools, and architectures.
- Application Portfolio Project Development: Build a complete project including an intelligent agent that connects to a database, identifies devices, and solves problems.
- Implementing ReAct agents: Building agents that can reason about problems and automatically invoke various tools.
- Designing multi-agent systems: Creating systems in which expert agents collaborate and divide tasks.
- Working with the MCP protocol: Using the new global standard to connect AI agents to external tools.
- Agent-to-Agent (A2A) Communication: Learning how agents identify and communicate with each other across different service platforms.
- Memory and RAG implementation: Add document search capabilities and recall of past conversations for intelligent agents.
- Assessment, Security, and Deployment: Build safety and troubleshooting capabilities into systems and turn the agent into a real API with FastAPI.
This course is suitable for people who:
- Beginners in AI: All enthusiasts who want to learn from scratch and without prior experience how to build and deploy AI agents in real companies.
- Python Developers and Programmers: Engineers who want to advance their knowledge in agent-based AI and modern tools.
- Students and researchers: Individuals seeking a deep, practical, and structured understanding of emerging AI technologies.
- Those interested in building real projects: Those who want to add practical smart projects connected to databases and various tools to their resume.
LangGraph Masterclass 2026: OpenAI Agents Chains MCP A2A Course Details
- Publisher: Udemy
- Lecturer: Haebichan Jung AI/ML Architect @ Snowflake | Previously @ Servicenow
- Training level: Beginner to advanced
- Training duration: 3 hours and 58 minutes
- Number of lessons: 23
Course headings
LangGraph Masterclass 2026: OpenAI Agents Chains MCP A2A Course Prerequisites
- Some Python experience needed. No AI experience needed.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.8 GB