AI Trifecta Comparison Training Course

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.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral for government applications. By the end of this training, participants will be able to: - Set up and configure Devstral for coding agent development. - Design agentic workflows for codebase exploration and modification. - Integrate coding agents with developer tools and APIs. - Implement best practices for secure and efficient agent deployment in alignment with public sector standards. **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.

The Devstral and Mistral models are open-source artificial intelligence technologies designed for flexible deployment, fine-tuning, and scalable integration. This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced machine learning engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern the use of Mistral and Devstral models in production environments for government. By the end of this training, participants will be able to: - Set up and configure self-hosted environments for Mistral and Devstral models. - Apply fine-tuning techniques to optimize performance for specific domains. - Implement versioning, monitoring, and lifecycle governance practices. - Ensure security, compliance, and responsible usage of open-source models. **Format of the Course** - Interactive lectures and discussions. - Hands-on exercises in self-hosting and fine-tuning. - Live-lab implementation of governance and monitoring pipelines. **Course Customization Options** - To request a customized training for government use, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for government researchers and laboratory professionals at beginner to intermediate levels who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples. By the end of this training, participants will be able to: - Navigate the Fiji interface and utilize ImageJ’s core functions effectively. - Preprocess and enhance scientific images for improved analysis. - Conduct quantitative image analysis, including cell counting and area measurement. - Automate repetitive tasks using macros and plugins. - Customize workflows to meet specific image analysis needs in biological research for government applications.

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 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.

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 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 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 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.

Le Chat Enterprise is a private ChatOps solution designed to provide secure, customizable, and governed conversational AI capabilities for organizations. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and integrations with enterprise applications. This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments for government use. By the end of this training, participants will be able to: - Set up and configure Le Chat Enterprise for secure deployments. - Enable RBAC, SSO, and compliance-driven controls. - Integrate Le Chat with enterprise applications and data stores. - Design and implement governance and administrative playbooks for ChatOps. **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.

Mistral is a high-performance family of large language models optimized for cost-effective production deployment at scale.

This instructor-led, live training (online or onsite) is aimed at advanced-level infrastructure engineers, cloud architects, and MLOps leads who wish to design, deploy, and optimize Mistral-based architectures for maximum throughput and minimum cost, specifically tailored for government applications.

By the end of this training, participants will be able to:

• Implement scalable deployment patterns for Mistral Medium 3 in a government context.
• Apply batching, quantization, and efficient serving strategies to meet public sector requirements.
• Optimize inference costs while maintaining performance for government workloads.
• Design production-ready serving topologies for enterprise and government workloads.

Format of the Course

• Interactive lecture and discussion tailored to public sector needs.
• Lots of exercises and practice relevant to government operations.
• Hands-on implementation in a live-lab environment designed for government use cases.

Course Customization Options

• To request a customized training for this course, specifically adapted for government agencies, please contact us to arrange.

Mistral AI is an open artificial intelligence platform that enables teams to develop and integrate conversational assistants into enterprise and customer-facing workflows.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate level product managers, full-stack developers, and integration engineers who wish to design, integrate, and deploy conversational assistants using Mistral connectors and integrations for government applications.

By the end of this training, participants will be able to:

• Integrate Mistral conversational models with enterprise and SaaS connectors for seamless communication.
• Implement retrieval-augmented generation (RAG) to ensure responses are well-grounded and contextually relevant.
• Design user experience (UX) patterns for both internal and external chat assistants, enhancing usability and efficiency.
• Deploy conversational assistants into product workflows for practical and real-world use cases, ensuring they meet the needs of government operations.

Format of the Course

• Interactive lecture and discussion to foster understanding and engagement.
• Hands-on integration exercises to apply concepts in a practical setting.
• Live-lab development of conversational assistants to reinforce learning through real-world scenarios.

Course Customization Options

• To request a customized training for this course, tailored specifically to government needs, please contact us to arrange.

Mistral Medium 3 is a high-performance, multimodal large language model designed for production-grade deployment across enterprise and government environments.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced AI/ML engineers, platform architects, and MLOps teams who wish to deploy, optimize, and secure Mistral Medium 3 for government use cases.

By the end of this training, participants will be able to:

• Deploy Mistral Medium 3 using API and self-hosted options.
• Optimize inference performance and costs.
• Implement multimodal use cases with Mistral Medium 3.
• Apply security and compliance best practices for enterprise and government environments.

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.

Mistral AI is an open and enterprise-ready artificial intelligence platform designed to provide secure, compliant, and responsible AI deployment solutions. This instructor-led, live training (available online or on-site) is tailored for intermediate-level compliance leads, security architects, and legal/operations stakeholders who seek to implement responsible AI practices with Mistral. The training emphasizes leveraging privacy, data residency, and enterprise control mechanisms to ensure alignment with regulatory standards. By the end of this training, participants will be able to: - Implement privacy-preserving techniques in Mistral deployments. - Apply data residency strategies to comply with regulatory requirements. - Set up enterprise-grade controls such as Role-Based Access Control (RBAC), Single Sign-On (SSO), and audit logs. - Evaluate vendor and deployment options to ensure compliance alignment. **Format of the Course** - Interactive lectures and discussions. - Compliance-focused case studies and exercises. - Hands-on implementation of enterprise AI controls. **Course Customization Options for Government** - To request a customized training for government, please contact us to arrange.