LangGraph imposes order on the inherent chaos of AI agents, transforming fragmented models into cohesive systems capable of reasoning, acting, and adapting.
Moving beyond the approach of treating prompts as standalone commands, LangGraph training courses demonstrate how to design workflows where agents collaborate, maintain context, and make informed decisions across evolving tasks.
Participants engage in live, instructor-led sessions focused on interactive, hands-on practice — conducted either online via an interactive remote desktop or in-person at Dobrogea Sud-Est with support from experienced trainers.
Onsite live training is also available at customer locations in Dobrogea Sud-Est or at NobleProg corporate training centers, providing teams with a dedicated space to explore agentic AI in a focused setting.
Often referred to as the LangChain Graph Framework, LangGraph is rapidly emerging as the foundation for multi-agent applications, offering developers and innovators a clear path to build AI systems that function less like simple tools and more like collaborative partners.
NobleProg — Your Local Training Provider
Constanta, Mircea cel Batran Street
NobleProg Constanta, Str. Mircea cel Batran, Constanta, romania, 900658
The building is situated in the central part of the city with view to the Black Sea. The hotel contains three conference rooms fully equipped for training, meetings and conferences. Just a quick walk and you can relax on the beach after a full day in the conference center.
LangGraph serves as a framework for developing stateful, multi-actor LLM applications through composable graphs that maintain persistent state and offer precise execution control.
This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based legal solutions with robust compliance, traceability, and governance controls.
Upon completion, participants will be capable of:
Designing legal-specific LangGraph workflows that ensure auditability and regulatory compliance.
Integrating legal ontologies and document standards into graph state and processing logic.
Implementing guardrails, human-in-the-loop approvals, and traceable decision paths.
Deploying, monitoring, and maintaining LangGraph services in production environments with observability and cost management.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customization Options
For customized training requests, please contact us to arrange.
LangGraph serves as a framework for constructing stateful, multi-agent LLM applications using composable graphs that maintain persistent state and provide precise control over execution flow.
This instructor-led live training, available online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based financial solutions with robust governance, observability, and regulatory compliance.
Upon completion of this training, participants will be able to:
Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
Integrate financial data standards and ontologies into graph states and associated tools.
Implement reliability, safety measures, and human-in-the-loop controls for critical operations.
Deploy, monitor, and optimize LangGraph systems to ensure high performance, cost efficiency, and adherence to SLAs.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customization Options
To request customized training for this course, please contact us to arrange.
LangGraph empowers stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. For the healthcare sector, these capabilities are essential for ensuring compliance, enabling interoperability, and developing decision-support systems that seamlessly integrate with medical workflows.
This instructor-led, live training—available either online or on-site—is designed for intermediate to advanced professionals looking to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.
Upon completion of this training, participants will be capable of:
Designing healthcare-specific LangGraph workflows that prioritize compliance and auditability.
Integrating LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
Applying best practices for reliability, traceability, and explainability within sensitive environments.
Deploying, monitoring, and validating LangGraph applications in healthcare production settings.
Format of the Course
Interactive lectures and discussions.
Hands-on exercises based on real-world case studies.
Implementation practice within a live-lab environment.
Course Customization Options
To request customized training for this course, please contact us to arrange.
LangGraph is a framework designed for creating stateful, multi-actor LLM applications through composable graphs that maintain persistent state and provide execution control.
This instructor-led, live training (available online or onsite) targets advanced AI platform engineers, AI DevOps specialists, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.
By the conclusion of this training, participants will be equipped to:
Design and optimize complex LangGraph topologies for enhanced speed, cost-efficiency, and scalability.
Engineer reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
Debug and trace graph executions, inspect state variables, and systematically reproduce production issues.
Instrument graphs with logs, metrics, and traces; deploy to production; and monitor SLAs and costs.
Format of the Course
Interactive lecture and discussion.
Extensive exercises and practical application.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training session for this course, please contact us to arrange details.
LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing content pipelines.
This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.
By the end of this training, participants will be able to:
Design graph-structured content and email workflows with conditional logic.
Integrate LLMs, APIs, and data sources for automated personalization.
Manage state, memory, and context across multi-step campaigns.
Evaluate, monitor, and optimize workflow performance and delivery outcomes.
Format of the Course
Interactive lectures and group discussions.
Hands-on labs implementing email workflows and content pipelines.
Scenario-based exercises on personalization, segmentation, and branching logic.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
LangGraph serves as a framework designed for composing graph-structured LLM workflows that facilitate branching, tool utilization, memory management, and controllable execution.
This instructor-led, live training (available online or onsite) targets intermediate-level engineers and product teams aiming to merge LangGraph’s graph logic with LLM agent loops to create dynamic, context-aware applications, such as customer support agents, decision trees, and information retrieval systems.
Upon completing this training, participants will be capable of:
Designing graph-based workflows that coordinate LLM agents, tools, and memory.
Implementing conditional routing, retries, and fallback mechanisms for robust execution.
Integrating retrieval, APIs, and structured outputs into agent loops.
Evaluating, monitoring, and hardening agent behavior to ensure reliability and safety.
Format of the Course
Interactive lectures and facilitated discussions.
Guided labs and code walkthroughs within 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 designed for constructing graph-structured LLM applications that facilitate planning, branching, tool utilization, memory management, and controlled execution.
This instructor-led, live training session (available online or onsite) is tailored for beginner-level developers, prompt engineers, and data practitioners who aim to design and implement reliable, multi-step LLM workflows using LangGraph.
By the conclusion of this training, participants will be capable of:
Describing core LangGraph concepts (nodes, edges, state) and understanding their appropriate use cases.
Constructing prompt chains that support branching, tool invocation, and memory retention.
Integrating retrieval mechanisms and external APIs into graph-based workflows.
Testing, debugging, and evaluating LangGraph applications to ensure reliability and safety.
Course Format
Interactive lectures and facilitated discussions.
Guided laboratory exercises and code walkthroughs within a sandbox environment.
Scenario-based exercises focused on design, testing, and evaluation.
Course Customization Options
To request a customized training for this course, please contact us to make arrangements.
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