Building AI Assistants for Work Training Course

LangGraph serves as a framework for developing stateful, multi-actor LLM applications structured as composable graphs, featuring persistent state management and precise control over execution flows.

This instructor-led, live training session (available online or on-site) is designed for advanced AI platform engineers, DevOps professionals specializing in AI, and ML architects seeking to optimize, troubleshoot, monitor, and manage production-grade LangGraph systems for government environments.

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

• Design and refine complex LangGraph structures to enhance velocity, cost-efficiency, and scalability.
• Implement robust reliability standards through retry mechanisms, timeout controls, idempotency, and checkpoint-based recovery.
• Diagnose and trace graph executions, inspect internal states, and methodically replicate production anomalies.
• Instrument systems with logging, metrics, and tracing capabilities, deploy to production, and monitor SLAs and associated costs.

Training Delivery Model

• Interactive instructional sessions and facilitated discussions.
• Extensive exercises and practical application tasks.
• Real-time implementation within a live laboratory environment.

Customization Options

• Interested parties may contact the provider to coordinate a tailored training program aligned with specific organizational needs.

Develop expertise in Devstral through this live training session conducted in US. The curriculum covers system architecture, agentic workflow design, and tool integration. Designed for advanced engineers, the course utilizes hands-on laboratories to construct coding agents that enhance productivity and security for government operations within modern development environments.

This instructor-led training in US is designed for machine learning engineers seeking to master the self-hosting and fine-tuning of Devstral and Mistral models for government applications. Participants will acquire practical governance, monitoring, and compliance techniques to deploy open-source AI with assured reliability in production environments.

LangGraph serves as a framework for constructing stateful, multi-agent large language model (LLM) applications through composable graphs, featuring persistent state management and precise execution control.

This instructor-led, live training session (available online or on-site) is tailored for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with robust governance, observability, and compliance for government and regulated sectors.

Upon completion of this training, participants will be proficient in the following areas:

• Designing financial workflows within LangGraph that adhere to regulatory and audit mandates.
• Integrating financial data standards and ontologies into graph state management and operational tooling.
• Implementing reliability, safety, and human-in-the-loop controls for critical financial processes.
• Deploying, monitoring, and optimizing LangGraph systems to meet performance targets, cost efficiency, and service level agreements (SLAs).

Course Format

• Interactive lectures and structured discussions.
• Extensive practical exercises and skill-building activities.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request a customized training curriculum for this course, please contact the provider to coordinate arrangements.

LangGraph serves as a specialized framework for constructing graph-based LLM applications, enabling advanced features such as strategic planning, conditional branching, tool utilization, persistent memory, and controlled execution environments.

This instructor-led, live training program, available online or onsite, is designed for junior-level developers, prompt engineers, and data professionals seeking to engineer robust, multi-step LLM workflows utilizing LangGraph.

Upon completion of this program, participants will possess the capability to:

• Articulate fundamental LangGraph components (nodes, edges, state) and their applicable contexts.
• Construct prompt chains that support branching, tool invocation, and memory retention.
• Integrate retrieval mechanisms and external APIs into graph-based workflows for government use cases.
• Test, debug, and assess LangGraph applications to ensure reliability and safety standards.

Instructional Methodology

• Interactive lectures combined with facilitated group discussions.
• Guided laboratory sessions and code analysis within a secure sandbox environment.
• Scenario-driven exercises focused on architectural design, testing, and evaluation.

Customization Capabilities

• To arrange a customized training program for government agencies, please contact our team for specific requirements.

LangGraph facilitates stateful, multi-actor workflows leveraging Large Language Models (LLMs) with precise control over execution paths and state persistence. Within the public health sector, these capabilities are essential for ensuring regulatory compliance, achieving interoperability, and developing decision-support systems aligned with government medical operations.

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 for government, while addressing regulatory, ethical, and operational complexities.

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

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

Format of the Course

• Interactive lectures and facilitated discussions.
• Hands-on exercises utilizing real-world public sector case studies.
• Implementation practice in a live laboratory environment.

Course Customization Options

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

LangGraph serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving large language models (LLMs) and external tools. This infrastructure is well-suited for the automation and customization of content pipelines for government operations.

This instructor-led, live training session, available in online or onsite formats, targets intermediate-level professionals, including content strategists and automation developers. The objective is to implement dynamic, branching email campaigns and automated content generation systems using LangGraph.

Upon completion of this training, participants will possess the ability to:

• Design graph-structured content and email workflows incorporating conditional logic.
• Integrate LLMs, application programming interfaces (APIs), and external data sources to drive automated personalization.
• Manage state, memory, and contextual data across multi-step campaign executions.
• Evaluate, monitor, and optimize workflow performance and final delivery outcomes.

Course Structure and Delivery Method

• Interactive instructional sessions and facilitated group discussions.
• Practical laboratory exercises focused on implementing email workflows and content pipelines.
• Scenario-based assignments emphasizing personalization, audience segmentation, and branching logic.

Course Customization and Tailored Solutions

• For inquiries regarding customized training solutions tailored to specific operational needs for government, please contact the appropriate administrative office.

This live training session in US examines Le Chat Enterprise, a private ChatOps solution designed for secure, governed conversational AI. Participants will learn to deploy, configure, and integrate the platform with enterprise applications, ensuring the implementation of RBAC, SSO, and compliance-driven controls for scalable and secure AI workflows for government use.

Acquire proficiency in cost-effective Mistral LLM architectures through this 14-hour live training conducted in US. Participants will learn to deploy, optimize, and scale Mistral Medium 3 for government, achieving maximum throughput and minimum cost. The curriculum utilizes batching, quantization, and efficient servicing strategies tailored for enterprise workloads.

This live training in US covers integrating Mistral conversational assistants into enterprise workflows. Participants will learn to connect SaaS tools, implement retrieval-augmented generation, and design effective UX patterns for customer-facing and internal chat interfaces.

This instructor-led training in US enables advanced AI engineers to deploy and secure Mistral Medium 3 for government and enterprise contexts. The curriculum covers optimizing inference costs, implementing multimodal workflows, and adhering to compliance standards. Participants will engage in hands-on labs focused on API and self-hosted configurations.

This live training on Responsible AI with Mistral in US is specifically tailored for compliance and security leadership. Participants will develop expertise in privacy-preserving techniques, data sovereignty strategies, and enterprise controls such as RBAC and SSO, ensuring the secure and compliant deployment of AI systems for government.