LangGraph Training in Iowa

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 serves as a framework designed for constructing graph-based workflows utilizing large language models (LLMs), enabling branching logic, tool integration, memory management, and controlled execution. This instructor-led session, available via online or onsite delivery, targets intermediate engineers and product development teams seeking to leverage LangGraph’s logic alongside LLM agent loops. The curriculum focuses on developing dynamic, context-aware applications, including customer support systems, decision trees, and information retrieval infrastructure. Upon completion of this training, participants will be capable of: * Designing graph-based workflows that effectively coordinate LLM agents, external tools, and memory states. * Implementing conditional routing, automated retries, and fallback mechanisms to ensure robust execution. * Integrating retrieval systems, APIs, and structured outputs within agent loops. * Evaluating, monitoring, and securing agent behavior to enhance reliability and safety standards. **Course Format** * Interactive lectures and facilitated discussions. * Guided laboratory exercises and code walkthroughs conducted in a sandbox environment. * Scenario-based design activities and peer review sessions. **Course Customization** To request customized training for this course, please contact us to arrange the necessary accommodations. This instructional approach is tailored for government entities seeking specialized technical capacity building.

LangGraph serves as a robust framework for developing graph-structured large language model applications that facilitate planning, branching, tool utilization, memory management, and controlled execution. This instructor-led, live training, available in online or onsite formats, is designed for beginner-level developers, prompt engineers, and data practitioners seeking to design and construct reliable, multi-step LLM workflows using LangGraph. Upon completion of this instruction, participants will be equipped to: * Articulate fundamental LangGraph concepts, including nodes, edges, and state, and determine appropriate application scenarios. * Develop prompt chains capable of branching logic, invoking tools, and retaining context. * Incorporate retrieval mechanisms and external APIs into graph-based workflows. * Conduct testing, debugging, and evaluation of LangGraph applications to ensure operational reliability and safety standards. **Training 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 methodologies. **Customization Options** For government entities requiring tailored instruction, please contact the provider to arrange customized training services.