LangGraph brings structure to the complex landscape of AI agents, transforming loosely connected models into coordinated systems capable of reasoning, acting, and adapting.
Rather than treating prompts as isolated commands, LangGraph training courses demonstrate how to design workflows where agents collaborate, retain information, and make decisions across evolving tasks.
Participants engage in live, instructor-led sessions that emphasize interactive, hands-on practice—whether online through an interactive remote desktop or onsite in Iowa, supported by experienced trainers.
Onsite live training can also be conducted at customer premises in Iowa or at Govtra corporate training centers, providing teams with a focused environment to experiment with agentic AI applications.
Also known as the LangChain Graph Framework, LangGraph is rapidly becoming the foundation of multi-agent applications, offering developers and innovators a pathway to create AI systems that function more like collaborators than mere tools.
Govtra — Your Local Training Provider for government
Des Moines, IA - Hub Tower
699 Walnut Street, Des Moines, United States, 50309
The Hub Tower location is easily accessible by car via Interstates 35 and 80, with underground and nearby public parking available; simply head downtown to Walnut Street. Guests arriving from Des Moines International Airport (DSM) can expect a 10‑ to 15‑minute taxi or rideshare journey via I‑235 and I‑35 into downtown. For public transportation users, DART buses stop close to the building, and it also connects via the downtown skywalk to neighboring business and cultural venues.
IA, Johnston - Regus - Foxboro Square
6165 Northwest 86th Street, Johnston, United States, 50131
Regus Foxboro Square enjoys a highly accessible suburban location—and is easily reached by car via Interstates 80/35. Ample free parking is available in the surface lots surrounding the building. For those arriving from Des Moines International Airport (DSM), the venue is approximately 16.6 km (about a 15–20 minute drive) via I‑35 north. Public transit users can take Johnston-area bus services to nearby stops; the facility is also adjacent to Dover Park’s walking and biking trails, providing a healthy commute option.
Cedar Rapids, IA - Regus – Edgewood Pointe
4515 N River Blvd NE #200, Cedar Rapids, United States, 52411
Regus Cedar Rapids is easily accessible by car via I‑380 or I‑80 toward northeast Cedar Rapids, exiting at Edgewood Road and traveling south on River Boulevard. Complimentary on-site surface parking ensures convenience for event attendees. For travelers arriving at Des Moines International Airport (DSM), the venue is approximately a 90‑minute drive via I‑80 and I‑380. Local participants can reach the centre using Cedar Rapids Transit Route 10, with stops near River Boulevard and Edgewood Pointe.
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 (available online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions for government with the necessary compliance, traceability, and governance controls.
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.
**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 us to arrange.
LangGraph is a framework designed for building stateful, multi-actor language model 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 solutions in the finance sector, ensuring proper governance, observability, and compliance for government and private entities.
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 service level agreements (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 government or private sector needs, 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 building decision-support systems that align with medical workflows.
This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges for government and private sector applications.
By the end of this training, participants will be able to:
- Design healthcare-specific LangGraph workflows with compliance and auditability in mind.
- 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 in healthcare production settings.
**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 control over execution.
This instructor-led, live training (online or onsite) is aimed at advanced-level AI platform engineers, DevOps professionals for government, and ML architects who wish to optimize, debug, monitor, and operate production-grade LangGraph systems.
By the end of this training, participants will be able to:
- Design and optimize complex LangGraph topologies for speed, cost, and scalability.
- Engineer reliability through retries, timeouts, idempotency, and checkpoint-based recovery.
- Debug and trace graph executions, inspect state, 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 practice sessions.
- 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 graph-based orchestration framework designed to enable conditional, multi-step workflows involving language models and tools, making it ideal for automating and personalizing content pipelines.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level marketers, content strategists, and automation developers who aim 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 incorporating conditional logic.
- Integrate language models, 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 focusing on implementing email workflows and content pipelines.
- Scenario-based exercises covering personalization, segmentation, and branching logic.
**Course Customization Options for Government**
To request a customized training for government agencies, please contact us to arrange.
LangGraph is a framework designed for composing graph-structured workflows that support branching, tool use, memory, and controllable execution.
This instructor-led, live training (available online or on-site) is targeted at intermediate-level engineers and product teams who wish to integrate LangGraph’s graph logic with LLM agent loops to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems for government.
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 to ensure robust execution.
- Integrate retrieval mechanisms, APIs, and structured outputs into agent loops.
- Evaluate, monitor, and enhance 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 designed for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.
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 for government.
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 applications 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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