Practical AI Tools for Communication, Design, and Media Work Training Course

This instructor-led, live training in US targets advanced AI platform engineers, DevOps specialists, and ML architects seeking to optimize, debug, monitor, and operate production-grade LangGraph systems for stateful, multi-actor LLM applications as composable graphs, specifically for government use.

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.

This instructor-led training in US prepares professionals to design LangGraph-based financial solutions. Participants will acquire the skills to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with strong governance, observability, and compliance controls for government operations.

This instructor-led LangGraph Foundations course in US enables developers to construct graph-based LLM applications. Participants will master core concepts including node and edge definitions, state management, and branching logic. The curriculum covers the integration of tools, retrieval systems, and external APIs, culminating in the testing and deployment of reliable workflows through practical laboratory exercises.

Discover how to apply LangGraph for healthcare with this live training in US, designed for intermediate to advanced professionals. Learn to design stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and address ethical, operational challenges in regulated environments for government.

Master LangGraph for legal applications with this 35-hour instructor-led training in US. Ideal for intermediate to advanced professionals, this course covers workflow design, compliance controls, and human-in-the-loop approvals. Build auditable, production-ready LLM solutions for government operations with confidence.

This live, online or onsite course in US guides intermediate engineers in the development of dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement complex branching logic, and integrate retrieval systems, APIs, and memory modules to create robust, context-aware applications appropriate for government deployment.

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.