The "LangGraph Fundamentals: Build Scalable AI Agent Systems with Python" certification empowers you to design, build, and scale robust multi-agent workflows using LangGraph. By mastering these skills, you'll gain increased productivity, a competitive advantage, and adaptability for future career growth in the field of AI systems. Enroll today to take full control of your AI agent solutions and unlock new opportunities in real-world applications.

This certification covers the following topics:

• LangGraph vs. LangChain and Llama Index: Key Differences and Use Cases
• Graph-Based Workflow Representation: Core Concepts
• Nodes and Edges in LangGraph: Structure and Functionality
• State Management for Persistent and Adaptive Agents
• Implementing Conditional Routing for Adaptive Agents
• Building Multi-Agent Systems and Collaboration Strategies
• Practical Implementation of LangGraph in Python
• Defining and Managing State with TypedDict and Annotations
• Writing Node Functions for Modular Agent Workflows
• Constructing and Compiling Graphs: Nodes, Edges, and Routers
• Working with LLMs: Initialization, Invocation, and Structured Output
• Advanced Patterns: Subgraphs, Graph as Data, and Reusability