AI for Procurement Professionals: Practical Applications and Risk Awareness Training Course

LangGraph serves as a framework for developing stateful, multi-agent LLM applications by composing graphs with persistent state and execution control.

This instructor-led live training, available online or onsite, is designed for advanced AI platform engineers, AI DevOps specialists, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.

Upon completing this training, participants will be able to:

• Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and improve scalability.
• Build reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect states, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces; deploy to production; and monitor SLAs and costs.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Devstral is an open-source framework purpose-built for creating and operating coding agents capable of interacting with codebases, developer tools, and APIs to boost engineering productivity.

This instructor-led live training, available online or onsite, targets intermediate to advanced ML engineers, developer-tooling teams, and SREs who aim to design, implement, and optimize coding agents using Devstral.

Upon completion 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.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.
• Live-lab implementation exercises.

Customization Options

• To request customized training for this course, please contact us to arrange.

The Devstral and Mistral models are open-source AI technologies engineered for flexible deployment, fine-tuning capabilities, and scalable integration.

This instructor-led live training, available either online or onsite, targets intermediate to advanced ML engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern Mistral and Devstral models within production environments.

Upon completing this training, participants will be equipped to:

• Establish and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to achieve domain-specific performance improvements.
• Implement versioning, monitoring, and lifecycle governance strategies.
• Ensure security, compliance, and responsible usage of open-source models.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises focused on self-hosting and fine-tuning.
• Live-lab implementation of governance and monitoring pipelines.

Customization Options

• To request customized training for this course, please contact us to arrange.

This practical course on France provides a comprehensive overview of Fiji and ImageJ fundamentals for biological research. Participants will develop practical skills in image preprocessing, quantitative analysis, and macro automation, enabling them to optimize workflows for histological tissues, cells, and other samples while ensuring reproducible results.

LangGraph is a framework designed for creating graph-structured applications powered by large language models (LLMs), supporting features such as planning, branching, tool usage, memory management, and controllable execution.

This instructor-led live training, available either online or onsite, is tailored for beginner-level developers, prompt engineers, and data practitioners who aim to design and implement reliable, multi-step LLM workflows using LangGraph.

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

• Articulate the core concepts of LangGraph (nodes, edges, and state) and understand their appropriate use cases.
• Construct prompt chains that branch, invoke tools, and maintain memory context.
• Integrate retrieval mechanisms and external APIs into graph-based workflows.
• Test, debug, and evaluate LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures combined with facilitated discussions.
• Guided laboratory sessions and code walkthroughs conducted in a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

LangGraph serves as a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving LLMs and tools, making it an excellent choice for automating and personalizing content pipelines.

This instructor-led live training, available either online or on-site, targets intermediate-level marketers, content strategists, and automation developers who aim to implement dynamic, branching email campaigns and content generation pipelines using LangGraph.

Upon completion of this training, participants will be capable of:

• Designing graph-structured content and email workflows that incorporate conditional logic.
• Integrating LLMs, APIs, and data sources to achieve automated personalization.
• Managing state, memory, and context throughout multi-step campaigns.
• Evaluating, monitoring, and optimizing workflow performance and delivery outcomes.

Course Format

• Interactive lectures and group discussions.
• Hands-on labs focused on implementing email workflows and content pipelines.
• Scenario-based exercises covering personalization, segmentation, and branching logic.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Mistral AI serves as an open AI platform, empowering teams to construct and integrate conversational assistants into both enterprise and customer-facing workflows.

This instructor-led training, available online or onsite, targets beginner to intermediate product managers, full-stack developers, and integration engineers who aim to design, integrate, and productize conversational assistants utilizing Mistral connectors and integrations.

Upon completion of this training, participants will be capable of:

• Integrating Mistral conversational models with enterprise and SaaS connectors.
• Implementing retrieval-augmented generation (RAG) to ensure grounded responses.
• Designing UX patterns for both internal and external chat assistants.
• Deploying assistants into product workflows to address real-world use cases.

Format of the Course also allows for the evaluation of participants.

• Interactive lectures and discussions.
• Hands-on integration exercises.
• Live-lab development of conversational assistants.

Course Customization Options

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

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

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

Format of the Course also allows for the evaluation of participants.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• 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 offers an open, enterprise-grade AI platform designed to facilitate secure, compliant, and responsible AI deployment.

This instructor-led training (available online or onsite) targets intermediate-level compliance officers, security architects, and legal/operations stakeholders looking to implement responsible AI practices using Mistral's privacy, data residency, and enterprise control capabilities.

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

• Implement privacy-preserving techniques within Mistral deployments.
• Apply data residency strategies to ensure regulatory compliance.
• Establish enterprise-grade controls, including RBAC, SSO, and audit logs.
• Evaluate vendor and deployment options to align with compliance requirements.

Format of the Course also allows for the evaluation of participants.

• Interactive lectures and discussions.
• Compliance-focused case studies and practical exercises.
• Hands-on implementation of enterprise AI controls.

Course Customization Options

• To request customized training for this course, please contact us to arrange.