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

This instructor-led, live training in Argentina (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 serves as a framework for constructing stateful, multi-actor LLM applications as composable graphs that maintain persistent state and provide granular control over execution.

This instructor-led live training, available online or onsite, is designed for 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 completing this training, participants will be able to:

• Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and ensure scalability.
• Engineer reliability by implementing 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 associated costs.

Format of the Course

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

Course Customization Options

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

Devstral is an open-source framework engineered for the creation and operation of coding agents capable of interacting with codebases, developer utilities, and APIs to boost engineering productivity.

This instructor-led, live training session, available either 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 equipped to:

• Configure and set up 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 to ensure 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 a customized training curriculum for this course, please contact us for arrangement.

Mistral and Devstral 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 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 able to:

• Set up and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to enhance domain-specific performance.
• 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 details.

This instructor-led, live training in Argentina (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 Large Language Model applications through composable graphs that maintain persistent state and provide granular control over execution flows.

This instructor-led live training, available both online and on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based solutions within the finance sector, ensuring robust governance, observability, and regulatory compliance.

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

• Developing finance-specific LangGraph workflows that align with regulatory standards and audit requirements.
• Integrating financial data standards and ontologies into graph states and associated tooling.
• Establishing reliability, safety mechanisms, and human-in-the-loop controls for critical operational processes.
• Deploying, monitoring, and optimizing LangGraph systems to enhance performance, manage costs, and meet Service Level Agreements (SLAs).

Course Format

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

Customization Options

• For customized training arrangements, please reach out to our team.

LangGraph serves as a framework designed for constructing LLM applications with graph structures, enabling capabilities such as planning, branching, tool utilization, memory management, and controllable execution.

This instructor-led live training, available either online or on-site, targets beginner-level developers, prompt engineers, and data practitioners aiming to design and implement reliable, multi-step LLM workflows using LangGraph.

Upon completing this training, participants will be capable of:

• Explaining fundamental LangGraph concepts (nodes, edges, and state) and identifying appropriate use cases for each.
• Constructing prompt chains that feature branching logic, tool invocation, and persistent memory.
• Integrating retrieval mechanisms and external APIs into graph-based workflows.
• Testing, debugging, and evaluating LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures accompanied by facilitated discussions.
• Guided laboratory exercises and code walkthroughs conducted within a sandbox environment.
• Scenario-based practical exercises focusing on design, testing, and evaluation.

Customization Options

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

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 essential for ensuring compliance, enabling interoperability, and developing decision-support systems that align with medical processes.

This instructor-led training, available online or onsite, targets intermediate to advanced professionals aiming 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 that prioritize compliance and auditability.
• 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 featuring real-world case studies.
• Implementation practice within a live-lab environment.

Customization Options

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

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

This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based legal solutions that meet necessary compliance, traceability, and governance standards.

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

• Design LangGraph workflows specific to legal needs that maintain auditability and compliance.
• Integrate legal ontologies and document standards into graph state and processing workflows.
• Implement guardrails, human-in-the-loop approvals, and traceable decision paths.
• Deploy, monitor, and maintain LangGraph services in production environments with observability and cost controls.

Course Format

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

Customization Options

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

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

This instructor-led, live training session, available either online or onsite, 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 completing this training, participants will be equipped to:

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

Course Format

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

Course Customization Options

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

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 Argentina (online or onsite) targets beginner to intermediate game developers and UGC creators who wish to design, develop, and launch interactive, 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-created content within Fortnite.
• Navigate the UEFN interface, establish projects, and handle assets efficiently.
• Build and publish custom Fortnite worlds using worldbuilding and landscaping utilities.
• Utilize fundamental programming principles via the Verse scripting language.
• Work collaboratively on UEFN projects and get ready for monetization pathways in Fortnite.

By combining Unity, Blender, and Visual Studio, professionals gain 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 environment for integrating control systems and industrial logic.

This instructor-led live training, available online or onsite, targets beginner to intermediate-level professionals looking to design, model, and program industrial environments for simulation, training, and integration goals.

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

• Designing and modeling industrial equipment and scenarios using Blender.
• Importing and optimizing 3D models into Unity for effective visualization.
• Programming system logic and integration workflows in Visual Studio.
• Developing interactive industrial virtual environments connected 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 arrange a customized training session for this course, please reach out to us.

This instructor-led, live training in Argentina explores the fundamentals of game development with Unreal Engine 4, providing participants with the opportunity to create their own sample game.

This instructor-led live training, conducted Argentina (online or onsite), targets game developers eager to gain a comprehensive understanding of UE5 and how to harness it for creating stunning real-time content.

By the conclusion 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.