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

This instructor-led, live training in Taiwan (online or onsite) targets intermediate to advanced 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 the workflows of 3ds Max and Unreal Engine.
• 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 serves as a framework for constructing stateful, multi-agent LLM applications as composable graphs, featuring persistent state and precise control over execution.

This instructor-led live training, available online or onsite, targets 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 for enhanced speed, cost-efficiency, and scalability.
• Ensure reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect state, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy them to production, and monitor SLAs and costs.

Course Format

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

Course Customization Options

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

Devstral serves as an open-source framework engineered for the creation and execution of coding agents capable of engaging with codebases, developer utilities, and APIs to elevate engineering efficiency.

This instructor-led, live training session (available online or onsite) targets intermediate to advanced ML engineers, developer-tooling teams, and SREs aiming to design, implement, and refine coding agents utilizing Devstral.

Upon completing this training, participants will possess the ability to:

• Establish and configure Devstral for coding agent development.
• Design agentic workflows tailored for codebase exploration and modification.
• Seamlessly integrate coding agents with developer tools and APIs.
• Apply best practices for secure and efficient agent deployment.

Course Format

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

Customization Options

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

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

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

Upon completion 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.
• 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.

Course Customization Options

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

This instructor-led, live training in Taiwan (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 developing stateful, multi-agent LLM applications through composable graphs that maintain persistent state and provide precise control over execution flow.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based financial solutions with robust 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 state and tooling.
• Implementing reliability, safety, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to meet performance, cost, and SLA objectives.

Course Format

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

Course Customization Options

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

LangGraph is a framework designed for constructing graph-structured LLM applications that enable planning, branching, tool integration, memory management, and controllable execution.

This instructor-led, live training (available online or onsite) targets beginner-level developers, prompt engineers, and data practitioners seeking to design and build reliable, multi-step LLM workflows using LangGraph.

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

• Explain core LangGraph concepts (nodes, edges, state) and determine when to apply them.
• Create prompt chains that branch, invoke tools, and maintain memory.
• Integrate retrieval mechanisms and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph applications for reliability and safety.

Format of the Course

• Interactive lectures and facilitated discussions.
• Guided labs and code walkthroughs conducted in a sandbox environment.
• Scenario-based exercises focused 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 LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these capabilities are vital for ensuring compliance, interoperability, and the development of decision-support systems that align with clinical workflows.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals looking to design, implement, and manage LangGraph-based healthcare solutions while navigating 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.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises utilizing real-world case studies.
• Implementation practice within a live laboratory environment.

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) targets intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based legal solutions with robust compliance, traceability, and governance controls.

Upon completing 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.

Course Format

• Interactive lecture and discussion.
• Extensive exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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) targets intermediate-level engineers and product teams seeking 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.

Course Format

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based design exercises and peer reviews.

Customization Options

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

LangGraph is a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving large language models (LLMs) and tools, making it an excellent choice for automating and personalizing content pipelines.

This instructor-led live training, available either online or onsite, 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 able to:

• Design graph-structured content and email workflows incorporating conditional logic.
• Integrate LLMs, APIs, and data sources to enable automated personalization.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimize workflow performance and delivery outcomes.

Course Format

• Interactive lectures accompanied by 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 make arrangements.

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

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

• Grasp the fundamentals of UEFN and its significance in generating user-created content for Fortnite.
• Proficiently navigate the UEFN interface, initialize projects, and efficiently manage assets.
• Create and publish unique Fortnite experiences utilizing worldbuilding and landscaping capabilities.
• Implement core programming principles through the Verse scripting language.
• Collaborate effectively on UEFN projects and position themselves for monetization prospects within Fortnite.

By combining Unity, Blender, and Visual Studio, professionals gain access to a robust toolkit for developing and programming industrial virtual environments. Unity facilitates interactive simulation and visualization, Blender provides advanced 3D modeling capabilities, and Visual Studio acts as the essential programming foundation for integrating control systems and industrial logic.

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

Upon completing this training, participants will be equipped to:

• Design and model industrial equipment and scenarios using Blender.
• Import and optimize 3D models within Unity for visualization.
• Develop system logic and integration workflows using Visual Studio.
• Create interactive industrial virtual environments linked to 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 request customized training for this course, please contact us to arrange a session.

This instructor-led, live training in Taiwan covers the fundamentals of game development with Unreal Engine 4 while giving participants the chance to create their own sample game.

This instructor-led, live training in Taiwan (online or onsite) is aimed at game developers who wish to get a comprehensive understanding of UE5 and how to use it to create 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.