Markus Lang

    Markus Lang

    English

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    Who Is 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…

    Overview of Markus Lang

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    Markus Lang's Programs

    LangGraph in Action: Develop Advanced AI Agents with LLMs bannerHighest rated

    LangGraph in Action: Develop Advanced AI Agents with LLMs

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    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.

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    Markus has a comprehensive background in software engineering, focusing heavily on integrating language models into enterprise software architectures. He specializes in designing stateful orchestration layers and multi-agent systems that ensure deterministic outputs from probabilistic LLMs.