LangGraph in Action: Develop Advanced AI Agents with LLMs

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AI Agents · Online Course

LangGraph in Action: Develop Advanced AI Agents with LLMs Reviews & Product Details

LangGraph in Action: Develop Advanced AI Agents with LLMs is an industry-focused guide tailored for software engineers, AI developers, and tech enthusiasts looking to transcend basic prompt engineering. Led by expert instructor Markus Lang, this intermediate-level course dives deep into LangGraph (Version 1.0.0), a powerful orchestration framework designed to build stateful, multi-agent architectures. Throughout this curriculum, learners will move beyond simple linear LLM chains to construct robust, cyclical computational graphs that can handle complex reasoning tasks. By exploring essential primitives such as nodes, edges, state management, and checkpointers, students acquire the theoretical foundation and practical skills needed to deploy resilient AI agents. Additionally, the course emphasizes production-grade engineering principles, guiding you through integrating short-term and long-term memory systems, creating hierarchical multi-agent subgraphs, and packaging your intelligent agents using FastAPI and Docker containers. Whether you are aiming to build enterprise-level customer support chatbots or autonomous research assistants, this comprehensive training provides the hands-on labs and architectural patterns required to transform raw LLM capabilities into highly reliable, production-ready cognitive applications.

Best For

Software engineers and AI developers proficient in Python seeking to build production-grade agentic workflows. Professionals who have mastered basic LangChain and want to transition to complex, stateful multi-agent architectures. Engineers building autonomous systems that require human-in-the-loop oversight and long-term memory persistence. Architects aiming to learn how to deploy and containerize LLM-based applications using FastAPI and Docker.

Not For

Absolute beginners to programming who lack experience with Python or foundational LLM concepts. Developers looking for a basic introduction to prompt engineering or how to use a simple LLM API. Students seeking a theoretical course on LLM research or natural language processing mathematics. Those who require a no-code or low-code platform solution rather than custom architectural development.

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About the Creator

Markus Lang

Markus Lang is an experienced software engineer and AI architect specializing in building complex agentic workflows and LLM-powered applications. With a strong background in software development, Markus bridges the gap between raw machine learning models and reliable, deterministic production systems. He has spent years designing software architectures that integrate Large Language Models (LLMs) to solve real-world problems. In his course, 'LangGraph in Action: Develop Advanced AI Agents with LLMs,' Markus channels this practical experience to teach developers how to transcend basic retrieval-augmented generation (RAG) pipelines and build sophisticated, stateful, multi-agent architectures. His structured teaching philosophy emphasizes hands-on coding, robust state management, and debugging strategies. Markus believes that mastering modern AI applications requires understanding how to control and guide agentic behavior systematically. By breaking down complex execution paths, cyclic graphs, and human-in-the-loop mechanics into accessible, step-by-step tutorials, he empowers engineers, developers, and tech leads to build resilient software. Students can expect deep-dive explanations, production-ready code snippets, and pragmatic advice on deploying stable AI systems.

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