Building Generative AI Agents Building Generative AI Agents Using LangGraph, AutoGen & CrewAI 2025

Introduction

Generative AI Agents Mastery is the ultimate guide for learning how to build intelligent, automated, and scalable AI systems using LangGraph, AutoGen, and CrewAI. This course gives you the skills to create modern AI agents that think, plan, and collaborate just like real-world digital assistants.

Explore These Valuable Resources:

• LangGraph Documentation
• AutoGen Framework Guide
• CrewAI Developer Resources

Explore Related Courses:

• Artificial Intelligence Courses
• Machine Learning Courses
• Python Programming Courses
• Deep Learning Courses
• Data Science Courses

Course Description

This comprehensive training program, Building Generative AI Agents Using LangGraph, AutoGen & CrewAI 2025, takes you from foundational concepts to advanced agent-orchestration techniques. You will explore how modern AI agents reason, take actions, and collaborate across multiple tasks. Additionally, you will design agent workflows that solve complex business challenges, automate processes, and interact with your internal applications.

Throughout the course, you will learn how to architect multi-agent systems that operate efficiently and robustly. Moreover, you will practice building agents that generate content, analyze data, create code, make decisions, and coordinate tasks. Since the course uses real-world examples, you will gain the practical clarity needed to deploy agents confidently.

By the end of this program, you will have a strong command over LangGraph for agent graph building, AutoGen for conversation-driven automation, and CrewAI for complex team-based agent execution.

What You’ll Learn

• How to build autonomous AI agents from scratch
• Using LangGraph to design multi-step agent workflows
• Implementing AutoGen for conversational automation
• Creating team-based agent systems with CrewAI
• Building planning, reasoning, and tool-using agents
• Integrating LLMs into custom business workflows
• Testing, scaling, and optimizing generative AI agents
• Real-world projects for enterprise-grade automation

Requirements

• Basic knowledge of Python
• Familiarity with AI or LLM concepts is helpful
• A computer capable of running Python libraries
• Willingness to learn and experiment

About the Publication

This specialized 2025 edition is crafted by industry experts with deep experience in AI agent engineering and automation frameworks. The content focuses on practical, modern, and scalable approaches that align with real enterprise needs. Since the authors work directly with next-generation AI tools, you gain insights that are both current and field-tested.