Intro to Agentic AI Masterclass
Learn how to build real-world Agentic AI systems using AutoGen, LangGraph, and CrewAI in this complete masterclass.
In this course, you’ll go from fundamentals to advanced concepts like multi-agent workflows, memory management, tool integration, and autonomous AI systems. You’ll build hands-on projects including AI agents, research assistants, and workflow automation systems used in modern AI applications.
Whether you're a data scientist, AI engineer, or developer, this course will help you understand how to design, build, and deploy scalable multi-agent AI systems.
🚀 What you’ll learn:
Build AI agents using AutoGen, LangGraph, and CrewAI
Design multi-agent collaboration systems
Implement memory, state, and tool integrations
Create real-world AI workflows and projects
Understand how Agentic AI systems work internally
👉 Start building the next generation of AI systems today.
#AgenticAI #MultiAgentSystems #AutoGen #LangGraph #CrewAI #AIEngineering #GenerativeAI #LLM #AIAgents #AIProjects #MachineLearning #ArtificialIntelligence
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Agent Foundations
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
I built an open-source AI agent that turns a trade idea into a full backtest — here's why
Dev.to AI
I ran an AI QA agent on my app before talking to a single user. It found 11 issues, 4 were blockers.
Dev.to AI
Automating Your Catering Pipeline: Connect AI to Booking and Invoicing
Dev.to AI
Testing AI Agents Like Code: the `oa test` Harness
Dev.to AI
🎓
Tutor Explanation
DeepCamp AI