LangGraph Masterclass: Building Production-Ready AI Agents
3-day intensive: from LangGraph fundamentals to production agent deployment
Duration
3 days
Schedule
Flexible Dates
Available as in-house or custom-scheduled workshop
Your Trainers
he/him
Senior Machine Learning Engineer
Machine Learning Engineer and Software Architect with 15+ years of experience, specializing in deep learning, NLP, and LLM-based systems. Strong focus on designing and deploying end-to-end AI pipelines, including model fine-tuning (LoRA/PEFT), retrieval-augmented generation (RAG), and high-performance inference with modern frameworks such as PyTorch, Hugging Face Transformers, and vLLM. Experienced in building agentic systems using LangChain and LangGraph, as well as developing scalable backend services in Python. Combines solid software engineering principles with hands-on expertise in data-centric AI to deliver robust, production-ready solutions.
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he/him
Software Architect & Pragmatic Engineering Coach
Adam is a software architect with over 15 years of hands-on development experience across demanding environments like banking compliance, healthcare, and robotics. Adam has designed and scaled systems from early MVPs to enterprise platforms, and successfully coordinated distributed offshore teams of up to 120 developers. He knows exactly when code needs to be elegant and when pragmatism wins to ship on time. Today, Adam trains engineering teams in Agentic Coding, focusing on Claude Code and GitHub Copilot CLI. His approach is built entirely on Spec-Driven Development. Having spent years translating business requirements into foolproof architectural guardrails for large, distributed teams, he applies the exact same discipline to AI. He knows that without strict boundaries and clear specifications, AI tools simply generate technical debt at unprecedented speed. Adam teaches developers how to treat AI like a high-speed junior developer: guided by rigorous specs, pragmatic architecture, and clear domain boundaries. He only teaches what he has personally deployed, debugged, and scaled in production. Through his hands-on training, teams learn to: * Write airtight specifications that drive AI-generated code predictably. * Review, manage, and refactor AI-assisted code to prevent technical debt. * Build pragmatic architectures they will still enjoy working on years down the line. "I look forward to seeing you in the course, let's build resilient, AI-assisted software together!" Adam
View ProfileAbout This Workshop
Master LangGraph in this intensive 3-day workshop. Day 1 covers foundations, what LangGraph is, core concepts like StateGraph, nodes, edges, and reducers, plus building your first tool-calling agent. Day 2 dives into powerful patterns, prompt chaining, routing, parallelization with fan-out/fan-in, the orchestrator-worker pattern with the Send API, persistence and checkpointing for durable execution, and human-in-the-loop with the interrupt system. Day 3 tackles production, multi-agent architectures with supervisors and subgraphs, real-time streaming with custom events, observability with LangSmith, and deployment to the Agent Server. By the end, you'll have built a complete multi-agent system with durable execution, memory, human oversight, and streaming, ready for production deployment.
Agenda
Day 1: Foundations. LangGraph core concepts, StateGraph, nodes & edges, tool-calling agents Day 2: Patterns. Workflow patterns, persistence & checkpointing, human-in-the-loop Day 3: Production. Multi-agent architectures, streaming & observability, deployment
Starting from
€1,490.00
Interested in this workshop?
Get in touch to discuss dates, customization options, and group pricing for your team.
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