LangGraph for Marketing Automation Training Course

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications using composable graphs with persistent state and controlled execution.

This instructor-led, live training (available online or onsite) is targeted at advanced-level AI platform engineers, DevOps professionals for AI, and ML architects who aim to optimize, debug, monitor, and operate production-grade LangGraph systems for government use.

By the end of this training, participants will be able to:

• Design and optimize complex LangGraph topologies for enhanced speed, cost efficiency, and scalability.
• Implement reliability features such as retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect state data, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy to production environments, and monitor service level agreements (SLAs) and associated costs.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• 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 is a framework designed for building stateful, multi-actor LLM applications as composable graphs with persistent state and control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based finance solutions with proper governance, observability, and compliance for government.

By the end of this training, participants will be able to:

• Design finance-specific LangGraph workflows aligned with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems for performance, cost, and SLAs.

Format of the Course

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

Course Customization Options

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

LangGraph is a framework designed for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution for government.

This instructor-led, live training (available 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 their appropriate use cases.
• Create prompt chains that incorporate branching, tool invocation, and memory management.
• Integrate retrieval mechanisms and external APIs into graph workflows for government applications.
• Test, debug, and evaluate LangGraph applications to ensure reliability and safety in a public sector context.

Format of the Course

• Interactive lecture with facilitated discussion.
• Guided labs and code walkthroughs in a secure sandbox environment.
• Scenario-based exercises focused on design, testing, and evaluation for government workflows.

Course Customization Options

• To request a customized training tailored to specific needs for government, please contact us to arrange.

LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are essential for compliance, interoperability, and the development of decision-support systems that align with medical workflows for government.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges for government.

By the end 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 for government.
• Deploy, monitor, and validate LangGraph applications in healthcare production settings for government.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real-world case studies.
• Implementation practice in a live-lab environment.

Course Customization Options

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

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and precise control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based legal solutions, incorporating the necessary compliance, traceability, and governance controls for government use.

By the end 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 for government operations.

Format of the Course

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

Course Customization Options

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

LangGraph is a framework designed for composing graph-structured workflows that support branching, tool integration, memory management, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and product teams who wish to integrate LangGraph’s graph logic with language model agent loops to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems for government use.

By the end of this training, participants will be able to:

• Design graph-based workflows that coordinate language model agents, tools, and memory management.
• Implement conditional routing, retries, and fallback mechanisms for robust execution.
• Integrate retrieval systems, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and enhance the reliability and safety of agent behavior.

Format of the Course

• Interactive lectures and facilitated discussions.
• Guided labs and code walkthroughs in a secure sandbox environment.
• Scenario-based design exercises and peer reviews to ensure alignment with public sector workflows and governance.

Course Customization Options

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