LangGraph introduces a structured approach to the complexity of AI agents, transforming loosely connected models into orchestrated systems capable of reasoning, acting, and adapting.
By moving beyond isolated prompts, LangGraph training courses demonstrate how to design flows where agents collaborate, retain context, and make decisions across evolving tasks.
Participants engage in live, instructor-led sessions that prioritize interactive, hands-on practice. This includes online sessions via an interactive remote desktop or onsite workshops in Nantes supported by experienced trainers.
Onsite live training can also be conducted at customer premises in Nantes or at NobleProg corporate training centers, providing teams with a focused environment to experiment with agentic AI.
Also referred to as the LangChain Graph Framework, LangGraph is rapidly emerging as the core of multi-agent applications. It offers developers and innovators a route to building AI systems that function less like simple tools and more like intelligent collaborators.
NobleProg — Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
Master LangGraph for legal applications through this 35-hour instructor-led training held in Nantes. Designed for intermediate to advanced professionals, the course covers workflow design, compliance controls, and human-in-the-loop approvals. Develop auditable, production-ready LLM solutions with confidence.
This instructor-led training in Nantes empowers professionals to architect LangGraph-based financial solutions. Participants will learn to construct workflows that satisfy regulatory requirements, integrate data standards, and deploy systems featuring strong governance, observability, and compliance frameworks.
Discover LangGraph for healthcare through this live training in Nantes, specifically tailored for intermediate to advanced professionals. Master the design of stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and navigate ethical and operational challenges within regulated environments.
This instructor-led live training in Nantes is designed for advanced AI platform engineers, AI DevOps specialists, and ML architects who need to optimize, debug, monitor, and operate production-grade LangGraph systems that manage stateful, multi-actor LLM applications as composable graphs.
This instructor-led course on Nantes explores the application of LangGraph in marketing automation. Learners will develop the skills to design conditional content workflows, incorporate LLMs for personalized email initiatives, and manage state within multi-step pipelines, thereby acquiring practical expertise for contemporary marketing strategies.
This live course, available online or on-site Nantes, guides intermediate engineers in constructing dynamic LLM workflows using LangGraph. Discover how to design stateful graphs, implement branching logic, and incorporate retrieval, APIs, and memory to build robust, context-aware applications.
This instructor-led LangGraph Foundations course in Nantes empowers developers to construct graph-based LLM applications. Participants will master core concepts such as nodes, edges, state management, and branching logic. The curriculum covers the integration of tools, retrieval systems, and external APIs, culminating in the testing and deployment of robust workflows through practical, hands-on labs.
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