LangGraph brings structure to the chaos of AI agents, turning loosely connected models into orchestrated systems that can reason, act, and adapt.
Instead of treating prompts as isolated commands, LangGraph training courses show how to design flows where agents collaborate, remember, and make decisions across evolving tasks.
Participants work in live, instructor-led sessions that emphasize interactive, hands-on practice — whether online through an interactive remote desktop or onsite in Rabat with the support of experienced trainers.
Onsite live training can also be held at customer premises in Rabat or at NobleProg corporate training centers, giving teams the space to experiment with agentic AI in a focused environment.
Also known as the LangChain Graph Framework, LangGraph is quickly becoming the backbone of multi-agent applications, offering developers and innovators a pathway to build AI systems that behave less like tools and more like collaborators.
NobleProg — Your Local Training Provider
7AY Rabat
Zone industrielle , Takadoum, morocco, X5RW+M6 Rabat, M
Unwind and open your mind in this relaxed environment, ideal for immersing yourself in a learning experience. This facility offers a large range of services in a modern and fresh environment.
7AY coliving is a service provided by 7AY so that Digital nomads can benefit from a fully furnished and equipped living units located near the city centre. It's all about working and learning in complete freedom and utter comfort.
Regus - Mahaj Hay Ryad
Immeuble Mahaj Ryad Center , Rabat , morocco, 10100
In a city renowned for its magnificent architecture, it's no surprise that office space for rent in Rabat is also something special. The Regus Ryad Center is a striking modernist structure, part of an incredible business park, in the center of the Hay Ryad commercial district. Inside this ultra-modern building with angular walls, you'll find offices, coworking spaces, and meeting rooms, all equipped with high-speed Wi-Fi and temperature controls.
As you exit the building, you will find yourself on Annakhil Avenue, one of the city's main arteries, which is filled with restaurants, shops, gyms and other amenities. Nearby you will find the Mohammed V theater, but also many other iconic historical monuments inside and outside the city of Rabat. It can be reached easily with the Aswak Assalem Bus Stop, just a 15-minute walk away. In addition, a quick taxi ride to Rabat Agdal station connects you to the rest of the city, as well as to all of Morocco.
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.
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.
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