Wrocław

NobleProg , Ludwika Rydygiera 2a/22, Wroclaw, Poland, 50-249

Classroom is located in the city center (right next to HP Park Plaza), just 10 minutes walk from the market square.

The entrance to the building is located from the Śrutowa street.

Wrocław, Ludwika Rydygiera 2a

Check our offer to rent rooms and rent computer equipment!

Parking

Near the classroom, the number of free parking spaces is limited, there is no paid parking zone (along Rydygiera, Śrutowa and Henryka Brodatego, Bolesława Drobnera streets).

Public transport
The nearest tram stops: Dubois, Pomorska
The nearest bus stops: Dubois

Jelenia Góra

Pałac Wojanów, Wojanów 8, Jelenia Góra, Poland, 58-508

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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