Nuremberg

NobleProg Nürnberg, Irrerstraße 17 , Nürnberg, germany, 90403

Überblick

Unsere Schulungsräumlichkeiten befinden sich in der Irrerstraße 17 in Nürnberg. Unsere großzügigen Schulungsräume sind zentral gelegen, nördlich der Pegnitz, und bieten optimale Trainingsbedingungen für Ihre Bedürfnisse.

Anfahrt

Die NobleProg-Schulungsräumlichkeiten liegen verkehrsgünstig nahe dem inneren Stadtring. Die Haltestelle Hallertor für den ÖPNV  ist fussläufig erreichbar.

Parkplätze

Rund um unsere Schulungsräume finden Sie Parkplätze, die nicht gebührenpflichtig sind.

Lokale Infrastruktur

In der Nürnberger Altstadt finden Sie zahlreiche Hotels und Restaurants.

Explore Our Courses

Building Dynamic Workflows with LangGraph and LLM Agents

 14 Hours

LangGraph is a framework for composing graph-structured LLM workflows that support branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and product teams who wish to combine LangGraph’s graph logic with LLM agent loops to build dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

By the end of this training, participants will be able to:

  • Design graph-based workflows that coordinate LLM agents, tools, and memory.
  • Implement conditional routing, retries, and fallbacks for robust execution.
  • Integrate retrieval, APIs, and structured outputs into agent loops.
  • Evaluate, monitor, and harden agent behavior for reliability and safety.

Format of the Course

  • Interactive lecture and facilitated discussion.
  • Guided labs and code walkthroughs in a sandbox environment.
  • Scenario-based design exercises and peer reviews.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

LangGraph Foundations: Graph-Based LLM Prompting and Chaining

 14 Hours

LangGraph is a framework for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish to design and build reliable, multi-step LLM workflows using LangGraph.

By the end of this training, participants will be able to:

  • Explain core LangGraph concepts (nodes, edges, state) and when to use them.
  • Build prompt chains that branch, call tools, and maintain memory.
  • Integrate retrieval and external APIs into graph workflows.
  • Test, debug, and evaluate LangGraph apps for reliability and safety.

Format of the Course

  • Interactive lecture and facilitated discussion.
  • Guided labs and code walkthroughs in a sandbox environment.
  • Scenario-based exercises on design, testing, and evaluation.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

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Upcoming Courses

LangGraph Foundations: Graph-Based LLM Prompting and Chaining

2025-09-15 09:30
14 hours
Nürnberg
3472 EUR (Online)
3872 EUR (Classroom)

Building Dynamic Workflows with LangGraph and LLM Agents

2025-09-29 09:30
14 hours
Nürnberg
3472 EUR (Online)
3872 EUR (Classroom)

Building Dynamic Workflows with LangGraph and LLM Agents

2025-10-13 09:30
14 hours
Nürnberg
3472 EUR (Online)
3872 EUR (Classroom)

LangGraph Foundations: Graph-Based LLM Prompting and Chaining

2025-10-27 09:30
14 hours
Nürnberg
3472 EUR (Online)
3872 EUR (Classroom)

Building Dynamic Workflows with LangGraph and LLM Agents

2025-11-10 09:30
14 hours
Nürnberg
3472 EUR (Online)
3872 EUR (Classroom)

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