Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs Training Course

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications, utilising composable graphs that maintain persistent state and provide granular control over execution flows.

This instructor-led live training, available either online or on-site, is designed for intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based financial solutions with robust governance, observability, and compliance measures.

Upon completion of this training, participants will be equipped to:

• Design financial workflows within LangGraph that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and tooling infrastructure.
• Implement reliability, safety, and human-in-the-loop controls for critical operational processes.
• Deploy, monitor, and optimise LangGraph systems to enhance performance, manage costs, and meet SLAs.

Course Format

• Interactive lectures and group discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customisation Options

• For a tailored training program, please contact us to discuss your specific needs.

LangGraph is a framework designed for constructing graph-structured applications leveraging Large Language Models (LLMs), supporting planning, branching, tool usage, memory management, and controllable execution.

This instructor-led live training, available online or on-site, is tailored for beginner-level developers, prompt engineers, and data practitioners keen on designing and building reliable, multi-step LLM workflows using LangGraph.

By the conclusion of this training, participants will be equipped to:

• Explain core LangGraph concepts (nodes, edges, state) and identify appropriate use cases.
• Construct prompt chains capable of branching, invoking tools, and retaining memory.
• Integrate retrieval mechanisms and external APIs into graph-based workflows.
• Test, debug, and evaluate LangGraph applications for reliability and safety.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs conducted in a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Course Customization Options

• To arrange a customized training session for this course, please contact us.

LangGraph facilitates stateful, multi-actor workflows driven by large language models (LLMs), offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are essential for ensuring compliance, interoperability, and constructing decision-support systems that align with medical workflows.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.

Upon completion of this training, participants will be able to:

• Design healthcare-specific LangGraph workflows with a focus on compliance and auditability.
• Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD).
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications within healthcare production settings.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises using real-world case studies.
• Implementation practice in a live-lab environment.

Customisation Options

• To arrange customised training for this course, please contact us.

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications using composable graphs that feature persistent state and precise control over execution.

This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based legal solutions equipped with the necessary compliance, traceability, and governance controls.

Upon completion of this training, participants will be able to:

• Design legal-specific LangGraph workflows that ensure auditability and compliance.
• Integrate legal ontologies and document standards into graph state and processing.
• Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploy, monitor, and maintain LangGraph services in production with observability and cost controls.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practical practice.
• Hands-on implementation in a live-lab environment.

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 integration, memory management, and controllable execution.

This instructor-led live training, available either online or on-site, is tailored for intermediate-level engineers and product teams aiming to merge LangGraph’s graph logic with LLM agent loops. The goal is to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

Upon completion of this training, participants will be equipped to:

• Design graph-based workflows that effectively coordinate LLM agents, tools, and memory.
• Implement conditional routing, retries, and fallback mechanisms to ensure robust execution.
• Integrate retrieval processes, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and strengthen agent behaviour for enhanced reliability and safety.

Course Format

• Interactive lectures coupled with facilitated discussions.
• Guided laboratories and code walkthroughs conducted within a sandbox environment.
• Scenario-based design exercises and peer reviews.

Course Customization Options

• To arrange customized training for this course, please get in touch with us.

LangGraph is a graph-based orchestration framework that facilitates conditional, multi-step workflows involving LLMs and tools, making it ideal for automating and personalising content pipelines.

This instructor-led, live training (available online or onsite) is designed for 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 personalisation.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimise 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 personalisation, segmentation, and branching logic.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.