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

This instructor-led, live training session in Vietnam (online or onsite) targets intermediate to advanced 3D artists, game developers, and visualization specialists who aim to apply their expertise in Autodesk 3ds Max while acquiring the skills necessary to create immersive real-time experiences within Unreal Engine.

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

• Grasp the fundamental distinctions between workflows in 3ds Max and Unreal Engine.
• Import 3D models, animations, and assets from 3ds Max into Unreal Engine.
• Construct and tailor materials, textures, and shaders within Unreal Engine.
• Configure dynamic lighting and global illumination for real-time rendering.
• Develop interactivity and gameplay mechanics through Blueprint visual scripting.
• Optimize assets and scenes to ensure optimal 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 flows.

This instructor-led live training (available online or on-site) targets advanced AI platform engineers, AI DevOps professionals, 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.
• Ensure reliability through retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect state variables, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces, deploy them to production, and monitor SLAs and costs effectively.

Course Format

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

Customization Options

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

Devstral is an open-source framework tailored 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 on-site) targets intermediate to advanced ML engineers, developer-tooling teams, and SREs who want 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 exploring and modifying codebases.
• 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 practice.
• Hands-on implementation in a live-lab environment.

Customization Options

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

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-level ML 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 Vietnam (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 provide granular control over execution.

This instructor-led live training, available online or on-site, targets intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with robust governance, observability, and compliance measures.

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

• Create finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and associated tooling.
• Establish reliability, safety mechanisms, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to enhance performance, reduce costs, and meet SLAs.

Course Format

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

Customization Options

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

LangGraph is a framework designed for constructing graph-structured Large Language Model (LLM) applications, enabling capabilities such as planning, branching, tool integration, memory management, and controlled execution.

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

Upon completing this training, participants will be able to:

• Articulate core LangGraph concepts—including nodes, edges, and state—and determine appropriate use cases for each.
• Create prompt chains that support branching logic, tool invocation, and persistent memory.
• 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 coupled with guided discussions.
• Hands-on labs and code walkthroughs conducted in a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Customization Options

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

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

This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced-level professionals looking to design, implement, and manage LangGraph-based healthcare solutions while navigating regulatory, ethical, and operational challenges.

Upon completing this training, participants will be able to:

• Design healthcare-specific LangGraph workflows that prioritize compliance and auditability.
• Integrate LangGraph applications with medical ontologies and standards such as 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 make arrangements.

LangGraph is a framework designed for constructing stateful, multi-agent 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 who want to design, implement, and manage legal solutions based on LangGraph, incorporating necessary compliance, traceability, and governance controls.

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

• Create legal-specific LangGraph workflows that ensure auditability and compliance.
• Incorporate 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 lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

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

LangGraph serves as a framework for assembling graph-structured workflows with Large Language Models (LLMs), enabling features such as branching, tool integration, memory management, and controlled execution.

This instructor-led live training, available online or on-site, targets intermediate engineers and product teams seeking to merge LangGraph’s graph logic with LLM agent loops. The goal is to develop dynamic, context-aware applications, including customer support agents, decision trees, and information retrieval systems.

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

• Design graph-based workflows that effectively coordinate LLM agents, tools, and memory mechanisms.
• Implement conditional routing, retry logic, and fallback strategies to ensure robust execution.
• Integrate retrieval systems, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and secure agent behavior to guarantee reliability and safety.

Course Format

• Interactive lectures facilitated by expert instructors, accompanied by group discussions.
• Guided laboratory sessions and code walkthroughs within a sandbox environment.
• Scenario-based design exercises coupled with peer review feedback.

Customization Options for the Course

• To arrange customized training tailored to your specific needs, please reach out to us.

LangGraph serves as a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving Large Language Models (LLMs) and tools. It is particularly well-suited for automating and personalizing content pipelines.

This instructor-led training, available 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 completing this training, participants will be equipped to:

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

Course Format

• 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.

Customization Options

• To arrange customized training for this course, please contact us to discuss your needs.

Le Chat Enterprise is a dedicated ChatOps platform that delivers secure, customizable, and policy-driven conversational AI capabilities for enterprises. It supports Role-Based Access Control (RBAC), Single Sign-On (SSO), connectors, and integration with enterprise applications.

This instructor-led live training (available online or onsite) is designed for intermediate-level product managers, IT leaders, solution engineers, and security/compliance teams seeking to deploy, configure, and govern Le Chat Enterprise within corporate environments.

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

• Deploy and configure Le Chat Enterprise for secure operations.
• Implement RBAC, SSO, and compliance-focused controls.
• Connect Le Chat with enterprise applications and data repositories.
• Develop and execute governance and administrative playbooks for ChatOps.

Course Format

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

Customization Options

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

This instructor-led, live training session conducted in Vietnam (either online or onsite) targets novice to intermediate game developers and UGC creators who aspire to design, build, and release interactive, monetizable experiences for Fortnite players.

Upon completing this training, participants will be equipped to:

• Grasp the fundamental principles of UEFN and its function in enabling user-generated content creation within Fortnite.
• Proficiently navigate the UEFN workspace, initialize projects, and efficiently handle digital assets.
• Create and release bespoke Fortnite experiences utilizing world-building and terrain landscaping utilities.
• Implement foundational programming logic through the Verse scripting language.
• Work collaboratively on UEFN initiatives and position themselves for monetization prospects within the Fortnite ecosystem.

Unity, Blender, and Visual Studio combine to form a robust toolkit for designing and programming industrial virtual environments. Unity facilitates interactive simulation and visualization, while Blender provides advanced 3D modeling capabilities. Visual Studio acts as the core programming environment, enabling the integration of control systems and industrial logic.

This instructor-led training, available online or on-site, targets beginner to intermediate professionals seeking to design, model, and program industrial settings for simulation, training, and integration needs.

Upon completing this training, participants will be able to:

• Create and model industrial equipment and scenarios using Blender.
• Import and optimize 3D models in Unity for visualization purposes.
• Program system logic and integration workflows in Visual Studio.
• Develop 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 a customized version of this course, please contact us to arrange details.

This instructor-led live training in Vietnam (online or onsite) is designed for game developers who wish to gain a comprehensive understanding of UE5 and learn how to utilize it for creating impressive 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.