LangGraph imposes order on the inherent complexity of AI agents, transforming disconnected models into well-coordinated systems capable of reasoning, execution, and adaptation.
By moving beyond the concept of prompts as standalone commands, our LangGraph training programmes demonstrate how to architect flows that enable agents to cooperate, retain memory, and make informed decisions throughout dynamic workflows.
Learners engage in live, instructor-led sessions focused on interactive, practical application—delivered either online via an interactive remote desktop or in-person in Copenhagen with the guidance of seasoned trainers.
In-person live training is also available at client sites in Copenhagen or at NobleProg corporate training centres, providing teams with a dedicated space to explore agentic AI within a focused setting.
Also referred to as the LangChain Graph Framework, LangGraph is rapidly emerging as the core structure for multi-agent applications, offering developers and innovators a route to creating AI systems that function as true collaborators rather than mere tools.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
Develop mastery in LangGraph for legal applications through this 35-hour instructor-led course in Copenhagen. Designed for intermediate to advanced professionals, the curriculum addresses workflow design, compliance controls, and human-in-the-loop approvals. Learn to build auditable, production-ready LLM solutions with confidence.
This instructor-led training in Copenhagen empowers professionals to craft LangGraph-based financial solutions. Learners will master the implementation of regulatory-compliant workflows, data standard integration, and system deployment featuring robust governance, observability, and compliance controls.
Explore LangGraph applications in healthcare through this live training in Copenhagen, tailored for intermediate to advanced professionals. Learn to design stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and address ethical and operational challenges inherent in regulated environments.
This instructor-led live training in Copenhagen is designed for advanced AI platform engineers, DevOps for AI, and ML architects looking to optimize, debug, monitor, and operate production-grade LangGraph systems that build stateful, multi-actor LLM applications as composable graphs.
This instructor-led session on Copenhagen explores the use of LangGraph in marketing automation. Learners acquire the ability to build conditional content workflows, integrate LLMs for tailored email campaigns, and control state within multi-step pipelines, thereby developing practical competencies for contemporary marketing.
This live session, available online or on-site in Copenhagen, guides intermediate engineers in constructing dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement complex branching logic, and integrate retrieval, APIs, and memory to build robust, context-aware applications.
This instructor-led LangGraph Foundations course in Copenhagen prepares developers to create graph-based LLM applications. Participants will master core concepts such as nodes, edges, state management, and branching logic. They will integrate tools, retrieval systems, and external APIs, and then test and deploy reliable workflows through hands-on laboratories.
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