AI Agents in Gaming: From NPCs to Strategic AI Training Course

This instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level to advanced-level 3D artists, game developers, and visualization professionals who wish to leverage their skills in Autodesk 3ds Max and learn how to create immersive real-time experiences in Unreal Engine.

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

• Understand the key differences between 3ds Max and Unreal Engine workflows.
• Import 3D models, animations, and assets from 3ds Max into Unreal Engine.
• Create and customize materials, textures, and shaders in Unreal Engine.
• Set up dynamic lighting and global illumination for real-time rendering.
• Implement interactivity and gameplay mechanics using Blueprint visual scripting.
• Optimize assets and scenes for real-time performance and efficiency.

This instructor-led live training (available online or onsite) targets advanced AI platform engineers, DevOps professionals specializing in AI, and ML architects who aim to optimize, debug, monitor, and operate production-grade LangGraph systems.

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

• Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and improve scalability.
• Ensure reliability through strategies such as retries, timeouts, idempotency, and checkpoint-based recovery.
• Debug and trace graph executions, inspect state data, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy to production environments, and monitor SLAs and costs effectively.

Course Format

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

Customization Options

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

Devstral is an open-source framework built for creating and executing coding agents capable of interacting with codebases, developer utilities, 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 lecture and discussion.
• Extensive 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.

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

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

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

• Establish 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 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 details.

This instructor-led, live training in the Netherlands (online or onsite) is aimed at beginner-level to intermediate-level researchers and laboratory professionals 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.
• Preprocess and enhance scientific images for better analysis.
• Analyze images quantitatively, including cell counting and area measurement.
• Automate repetitive tasks using macros and plugins.
• Customize workflows for specific image analysis needs in biological research.

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, enabling persistent state management and precise execution control.

This instructor-led, live training session, available either online or onsite, is designed for intermediate to advanced professionals looking to design, implement, and manage LangGraph-based financial solutions with a focus on proper governance, observability, and compliance.

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

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and supporting tools.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to meet performance, cost, and SLA targets.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To request a tailored version of this course, please contact us to arrange.

LangGraph is a framework designed for creating graph-structured applications leveraging Large Language Models (LLMs), enabling features such as planning, branching, tool integration, memory management, and controlled execution.

This instructor-led live training, available either online or onsite, is tailored for developers at the beginner level, prompt engineers, and data professionals looking to design and construct reliable, multi-step LLM workflows using LangGraph.

Upon completing this training, participants will be equipped to:

• Articulate core LangGraph concepts (nodes, edges, state) and determine appropriate use cases.
• Construct prompt chains capable of branching, invoking tools, and maintaining context memory.
• Incorporate 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 within a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Course Customization Options

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

LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are vital for ensuring compliance, interoperability, and building decision-support systems that align with medical workflows.

This instructor-led live training (available online or onsite) targets intermediate to advanced-level professionals who aim to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges.

Upon completion 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 customized training for this course, please contact us to arrange.

LangGraph is a framework designed for building stateful, multi-actor LLM applications as composable graphs with persistent state and precise control over execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to design, implement, and operate LangGraph-based legal solutions 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 preserve 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.
• 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.

LangGraph is a framework designed for composing graph-structured LLM workflows that support branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and product teams who wish to combine LangGraph’s graph logic with LLM agent loops to build dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

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 for robust execution.
• Integrate retrieval, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and harden 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 serves as a graph-based orchestration framework, facilitating conditional, multi-step workflows involving Large Language Models (LLMs) and external tools. It is particularly well-suited for automating and personalizing content pipelines.

This instructor-led live training, available both online and onsite, targets intermediate-level marketers, content strategists, and automation developers. The course focuses on implementing dynamic, branching email campaigns and content generation pipelines using LangGraph.

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

• Design graph-structured workflows for emails and content, incorporating conditional logic.
• Integrate LLMs, APIs, and various data sources to enable automated personalization.
• Effectively manage state, memory, and context across complex, multi-step campaigns.
• Evaluate, monitor, and optimize the performance and delivery outcomes of workflows.

Format of the Course

• Interactive lectures combined with 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 a customized training for this course, please contact us to make arrangements.

Le Chat Enterprise offers a confidential ChatOps solution, delivering secure, customizable, and governed conversational AI capabilities tailored for organizational needs. It supports RBAC, SSO, connectors, and enterprise app integrations.

This instructor-led live training (available online or onsite) targets intermediate-level product managers, IT leads, solution engineers, and security/compliance teams looking to deploy, configure, and govern Le Chat Enterprise within enterprise environments.

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

• Set up and configure Le Chat Enterprise for secure deployments.
• Activate RBAC, SSO, and compliance-driven controls.
• Integrate Le Chat with enterprise applications and data stores.
• Design and implement governance and admin playbooks for ChatOps.

Course Format

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

Course Customization Options

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

This instructor-led, live training in the Netherlands (online or in-person) is designed for beginner to intermediate game developers and UGC creators who want to design, develop, and publish interactive, monetizable experiences for Fortnite players.

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

• Understand the basics of UEFN and its role in creating user-generated content within Fortnite.
• Navigate the UEFN interface, set up projects, and manage assets effectively.
• Develop and publish custom Fortnite experiences using worldbuilding and landscaping tools.
• Apply basic programming concepts using the Verse scripting language.
• Collaborate on UEFN projects and prepare for monetization opportunities in Fortnite.

Combining Unity, Blender, and Visual Studio creates a robust toolkit for developing and programming industrial virtual environments. Unity facilitates interactive simulation and visualization, while Blender provides advanced 3D modeling features. Visual Studio acts as the programming foundation, enabling the integration of control systems and complex industrial logic.

Available as an instructor-led live training (either online or onsite), this course targets beginner to intermediate professionals aiming to design, model, and program industrial settings for simulation, training, and system integration.

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

• Design and model industrial equipment and scenarios using Blender.
• Import and optimize 3D models within Unity for effective visualization.
• Program system logic and integration workflows using Visual Studio.
• Develop interactive industrial virtual environments with connected control systems.

Course Format

• Interactive lectures and discussions.
• Practical sessions on 3D modeling and environment development.
• Programming and integration exercises accompanied by live demonstrations.

Customization Options

• To arrange a customized version of this course, please contact us to discuss your specific needs.

This instructor-led live training in the Netherlands (online or onsite) is tailored for game developers who wish to gain a comprehensive grasp of UE5 and how to utilize it for creating stunning real-time content.

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

• Learn and understand the new features of the UE5 release.
• Utilize the real-time 3D creation tool capability of UE5 to create realistic visuals.
• Explore and build visual worlds and games.
• Learn and master game design principles.
• Create cutscene animations.