Zero to Hero · 30 Days
LangGraph: Complete Zero to Hero
Master LangGraph with this complete Zero to Hero series. Learn AI agent workflows, multi-agent systems, state management, memory, tools, MCP integration, debugging, and production-ready applications through practical, hands-on lessons.
18 lessons live
12 coming soon
Free Forever
Course Lessons
18 of 30 published
01
LangGraph: Understanding Stateful AI Agent Workflows and Graph-Based Orchestration
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02
LangGraph State Management: Understanding the Foundation of Stateful AI Applications
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03
LangGraph Nodes: Understanding the Building Blocks of AI Workflows
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04
LangGraph Checkpointing: Building Fault-Tolerant and Persistent AI Workflows
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05
LangGraph Human in the Loop: Building AI Workflows That Collaborate with People
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06
LangGraph Multi-Agent Systems: Building AI Teams That Solve Complex Problems
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07
LangGraph Conditional Edges: Building Dynamic AI Agent Workflows
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08
LangGraph Subgraphs: Building Modular and Reusable AI Workflows
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09
LangGraph Supervisor Pattern: Building Intelligent Multi-Agent Orchestration for Enterprise AI
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10
LangGraph Multi-Agent Collaboration: Building AI Agents That Work Together
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11
LangGraph Research Agents: Building AI Systems That Retrieve, Analyze, and Reason with Information
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12
LangGraph Tool Calling Agents: Building AI Systems That Interact with External Tools
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13
LangGraph Command Object: Mastering Dynamic Workflow Control in AI Applications
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14
LangGraph Send API: Building Dynamic Parallel AI Workflows for Enterprise Applications
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15
LangGraph Retry Policies: Building Resilient AI Workflows That Recover Automatically
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16
LangGraph Reducers: The Powerful Foundation for Managing State in Complex AI Workflows
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17
LangGraph: Building Reliable Multi-Agent Workflows with State, Routing, and Orchestration
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18
LangGraph Runtime Context: Building Powerful and Flexible AI Workflows
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