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

This instructor-led, live training in Czech Republic (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.

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

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

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

• Design and optimize complex LangGraph topologies for speed, cost efficiency, and scalability.
• Enhance 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.
• 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 specifically crafted for creating and operating coding agents. These agents can interact with codebases, developer tools, and APIs to significantly 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 completing this training, participants will be able to:

• Set up and configure Devstral for coding agent development.
• Design agentic workflows for exploring and modifying codebases.
• 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 practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

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

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

This instructor-led, live training (available online or onsite) targets intermediate to advanced machine learning engineers, platform teams, and research engineers who wish to self-host, fine-tune, and govern Mistral and Devstral models in production environments.

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 for domain-specific performance.
• Implement versioning, monitoring, and lifecycle governance.
• Ensure security, compliance, and responsible usage of open-source models.

Format of the Course

• Interactive lecture and discussion.
• 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 this course, please contact us to arrange.

This instructor-led, live training in Czech Republic (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 designed for constructing stateful, multi-agent LLM applications through composable graphs that maintain persistent state and precise execution control.

This instructor-led live training, available either online or on-site, targets intermediate to advanced professionals looking to design, implement, and operate LangGraph-based financial solutions that ensure proper governance, observability, and compliance.

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

• Designing finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrating financial data standards and ontologies into graph states and tooling.
• Implementing reliability, safety, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to achieve desired performance, cost efficiency, and SLAs.

Course Format

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

Customization Options

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

LangGraph serves as a framework designed for constructing graph-structured applications powered by Large Language Models (LLMs). It supports essential capabilities such as planning, branching, tool integration, memory management, and controllable execution.

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

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

• Articulate core LangGraph concepts, including nodes, edges, and state, and understand when to apply them.
• Create prompt chains that feature branching, tool invocation, and memory retention.
• 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 complemented by 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 customized training for this course, please contact us to make arrangements.

LangGraph facilitates stateful, multi-agent workflows driven by Large Language Models (LLMs), offering precise control over execution paths and state persistence. In the healthcare sector, these features are essential for ensuring compliance, interoperability, and the development of decision-support systems that seamlessly align with medical workflows.

This instructor-led training, available both online and on-site, targets intermediate to advanced professionals seeking to design, implement, and manage healthcare solutions using LangGraph, while addressing regulatory, ethical, and operational challenges.

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

• Design healthcare-specific LangGraph workflows that prioritize compliance and auditability.
• Integrate LangGraph applications with medical ontologies and standards, including FHIR, SNOMED CT, and ICD.
• Apply best practices for reliability, traceability, and explainability in sensitive environments.
• Deploy, monitor, and validate LangGraph applications within healthcare production settings.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises featuring real-world case studies.
• Implementation practice in a live-lab environment.

Customization Options

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

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

This instructor-led live training (available online or onsite) is designed for intermediate to advanced professionals aiming to design, implement, and operate LangGraph-based legal solutions with essential 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 practical application.
• 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 serves as a framework designed for composing graph-structured workflows involving Large Language Models (LLMs), supporting features such as branching, tool integration, memory management, and controllable execution.

This instructor-led, live training session (available online or on-site) targets intermediate-level engineers and product teams interested in merging LangGraph’s graph logic with LLM agent loops to create dynamic, context-aware applications. Examples include customer support agents, decision trees, and information retrieval systems.

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

• Designing graph-based workflows that effectively coordinate LLM agents, tools, and memory.
• Implementing conditional routing, retries, and fallback mechanisms to ensure robust execution.
• Integrating retrieval systems, APIs, and structured outputs into agent loops.
• Evaluating, monitoring, and enhancing agent behavior to ensure reliability and safety.

Course Format

• Interactive lectures coupled with facilitated discussions.
• Guided laboratory sessions and code walkthroughs within a sandbox environment.
• Scenario-based design exercises and peer review sessions.

Customization Options

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

LangGraph is a graph-based orchestration framework that enables conditional, multi-step LLM and tool workflows, ideal for automating and personalizing content pipelines.

This instructor-led, live training (online or onsite) is aimed at intermediate-level marketers, content strategists, and automation developers who wish 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 with conditional logic.
• Integrate LLMs, 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 implementing email workflows and content pipelines.
• Scenario-based exercises on personalization, segmentation, and branching logic.

Course Customization Options

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

This instructor-led, live training in Czech Republic (online or on-site) targets game developers and UGC creators at beginner to intermediate levels who want to design, develop, and publish interactive and monetizable experiences for Fortnite players.

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

• Comprehend the basics of UEFN and its function in generating user-generated content for Fortnite.
• Navigate the UEFN interface, configure projects, and handle assets efficiently.
• Create and release custom Fortnite experiences using worldbuilding and landscaping utilities.
• Utilize fundamental programming concepts via the Verse scripting language.
• Collaborate on UEFN projects and prepare for monetization opportunities within Fortnite.

Combining Unity, Blender, and Visual Studio creates a robust toolkit for developing and programming industrial virtual environments. Unity facilitates interactive simulation and visualization, Blender provides advanced 3D modeling tools, and Visual Studio acts as the core programming platform for integrating control systems and industrial logic.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate professionals aiming to design, model, and program industrial environments for simulation, training, and integration purposes.

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

• Design and model industrial equipment and scenarios using Blender.
• Import and optimize 3D models in Unity for visualization.
• Program system logic and integration workflows in Visual Studio.
• Create interactive industrial virtual environments with control system connections.

Format of the Course

• Interactive lecture and discussion.
• Hands-on 3D modeling and environment development.
• Programming and integration exercises with live demonstrations.

Course Customization Options

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

This instructor-led, live training in Czech Republic delves into the fundamentals of game development with Unreal Engine 4, offering participants the opportunity to develop their own sample game.

This instructor-led, live training in Czech Republic (online or onsite) is designed for game developers seeking a comprehensive understanding of UE5 and how to utilize it to create stunning real-time content.

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

• Gain knowledge of and insight into the new features introduced in the UE5 release.
• Leverage UE5’s real-time 3D capabilities to generate realistic visuals.
• Explore and construct visual worlds and games.
• Learn and master fundamental game design principles.
• Produce cutscene animations.