Description
Agentic AI: Build AI Agents with LangGraph, CrewAI & MCP. This advanced course explores the design and implementation of autonomous and collaborative AI agents using modern frameworks LangGraph, CrewAI, and the MCP protocol to tackle complex real-world problems. The course is designed to be a comprehensive, practical guide for Python developers, data scientists, and AI engineers to build industry-standard agents. The focus of the course is on engineering and implementation, and participants will build eight distinct applications from scratch that will serve as powerful resume examples. Topics include the transition from command engineering to flow engineering, cognitive architectures, using LangGraph for fine-tuning pipelines, CrewAI for building expert teams of agents, and Microsoft AutoGen for managing group conversations. The MCP protocol is also taught for connecting tools to language models in a standard way. In advanced sections, topics such as implementing short- and long-term memory for agents, human supervision systems, and advanced retrieval and reinforcement production techniques are explored. The course covers coordinating multiple agents to collaborate and communicate to achieve complex goals. Practical projects include building an automated research agent, a programmer and debugger assistant, a customer support system, and data analysis tools that will be implemented using the latest models from OpenAI, Claude, and local models such as Ollama.
What you will learn
- Mastery of AI concepts including programming, reasoning, tool use, and memory management.
- Build complex, stateful workflows using LangGraph and LangChain.
- Creating multi-agent systems where multiple AIs work together using CrewAI and AutoGen.
- Implementation of Anthropic’s MCP protocol to standardize the use of tools by agents.
- Connecting large language models to the Internet, databases, and APIs through function calling.
- Develop powerful agents using human-in-the-loop verification workflows.
- Deploy eight real projects including research assistants and professional programming agents.
This course is suitable for people who:
- Developers who are willing to move beyond simple RAG pipelines and build more complex systems.
- Entrepreneurs looking to build AI-based software products (AI-SaaS).
- Engineers who plan to implement multi-agent systems in large enterprise environments.
- Data scientists who want to leverage the new capabilities of language models in automated analytics.
Agentic AI course specifications: Build AI Agents with LangGraph CrewAI & MCP
- Publisher: Udemy
- Instructor: TechLynk Selenium | DevOps | GenAI | Cloud
- Training level: Beginner to advanced
- Training duration: 16 hours and 34 minutes
Course syllabus as of 2025/12
Prerequisites for the Agentic AI: Build AI Agents with LangGraph CrewAI & MCP course
- Basic knowledge of Python programming (variables, functions, classes).
- Understanding of APIs and RESTful services (basic level).
- Familiarity with Large Language Models (LLMs) concepts (like OpenAI, Hugging Face models, etc.).
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
7.6 GB
