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 Michigan, supported by experienced trainers.
Onsite live training can also be conducted at customer premises in Michigan 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
Detroit, MI - Renaissance Center
400 Renaissance Center, Detroit, United States, 48243
The GM Renaissance Center is conveniently located in downtown Detroit and easily accessed by car via Interstates 75 or 94, with secure underground parking available on site. Travelers flying into Detroit Metropolitan Airport (DTW) can expect a 25–30 minute trip by taxi or rideshare via I‑94. Public transit is efficient: the Detroit People Mover stops directly at the Renaissance Center station, and DDOT routes 3 and 9 serve nearby Jefferson Avenue. Pedestrian skywalks provide safe indoor access from downtown hotels, parking garages, and the riverwalk.
Ann Arbor, MI – Regus - South State Commons I
2723 S State St, Ann Arbor, United States, 48104
Regus South State Commons I is conveniently located off I‑94 via Exit 177 (State Street), with easy access to downtown Ann Arbor and surrounding suburbs. The building offers free on-site surface parking for guests. From Detroit Metropolitan Airport (DTW), the venue can be reached in approximately 20–25 minutes by taxi or rideshare via I‑94 West. Local public transit service (TheRide) operates Route 24 along South State Street, with a stop within a short 2-minute walk of the building.
Grand Rapids, MI - Regus – Calder Plaza
250 Monroe Ave NW, Grand Rapids, United States, 49503
The venue sits centrally at 250 Monroe Avenue NW in downtown Grand Rapids, easily accessed by car via US‑131 or I‑196—with connections via Monroe or Ottawa exits—and offers shared underground and surface parking. From Gerald R. Ford International Airport, take I‑96 East then I‑196 West into the city; the drive is about 20 minutes. Public transit through Rapid bus routes stops near Monroe or Ottawa Avenue, just a short walk from the Regus entrance; the downtown area is pedestrian-friendly.
Lansing, MI - Regus - One Michigan Avenue
120 North Washington Square, Lansing, United States, 48933
The venue is located in the heart of Lansing’s central business district at 120 North Washington Square, easily accessible by car via I‑496 or US‑127 with convenient street parking and a nearby parking ramp. From Capital Region International Airport (LAN), the location is approximately a 12‑minute drive west via I‑96 and US‑127, with taxis and rideshares readily available. Public transit users can take CATA bus routes that stop just a block away on Washington or Grand Avenue, offering seamless access to the venue.
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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