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

This instructor-led, live training in Nigeria (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 execution control.

This instructor-led live training, available online or onsite, targets advanced AI platform engineers, AI DevOps specialists, and ML architects aiming 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 for speed, cost-efficiency, and scalability.
• Ensure 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.

Course Format

• Interactive lecture and discussion.
• Ample exercises and practice sessions.
• 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 engineered for creating and executing coding agents capable of interacting with code repositories, 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 Site Reliability Engineers (SREs) looking to design, implement, and optimise coding agents using Devstral.

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

• Install 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.

Course Customization Options

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

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

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

Upon completing this training, participants will be equipped to:

• Establish and configure self-hosted environments for Mistral and Devstral models.
• Apply fine-tuning techniques to enhance performance for specific domains.
• Implement versioning, monitoring, and lifecycle governance mechanisms.
• Ensure security, compliance, and responsible usage of open-source models.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on self-hosting and fine-tuning.
• Live lab sessions for implementing governance and monitoring pipelines.

Customization Options

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

This instructor-led, live training in Nigeria (online or onsite) is aimed at beginner to intermediate researchers and laboratory professionals who want to process and analyze images related to histological tissues, blood cells, algae, and other biological samples.

Upon completing this training, participants will be able to:

• Navigate the Fiji interface and make effective use of ImageJ’s core functions.
• Preprocess and enhance scientific images to improve analysis outcomes.
• Perform quantitative image analysis, including cell counting and area measurement.
• Automate repetitive tasks using macros and plugins.
• Customize workflows to meet specific image analysis requirements in biological research.

LangGraph is a framework designed for constructing stateful, multi-actor LLM applications as composable graphs with persistent state and 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 finance solutions with proper governance, observability, and compliance.

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

• Design finance-specific LangGraph workflows aligned to regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph state and tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems for performance, cost, and SLAs.

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 for building graph-structured LLM applications that support planning, branching, tool use, memory, and controllable execution.

This instructor-led, live training (online or onsite) is aimed at beginner-level developers, prompt engineers, and data practitioners who wish 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 when to use them.
• Build prompt chains that branch, call tools, and maintain memory.
• Integrate retrieval and external APIs into graph workflows.
• Test, debug, and evaluate LangGraph apps for reliability and safety.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises on design, testing, and evaluation.

Course Customization Options

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

LangGraph empowers the creation of 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 the development of decision-support systems that seamlessly align with clinical workflows.

This instructor-led live training, available online or on-site, targets intermediate to advanced professionals eager to design, implement, and manage LangGraph-based healthcare solutions. The course addresses the regulatory, ethical, and operational challenges inherent in this field.

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

• Designing healthcare-specific LangGraph workflows that prioritise compliance and auditability.
• Integrating LangGraph applications with medical ontologies and standards such as FHIR, SNOMED CT, and ICD.
• Applying best practices for reliability, traceability, and explainability within sensitive environments.
• Deploying, monitoring, and validating LangGraph applications in healthcare production settings.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises grounded in real-world case studies.
• Practical implementation within a live laboratory environment.

Customisation Options

• To arrange a tailored training session for this course, please get in touch with us.

LangGraph serves as a framework for constructing stateful, multi-actor LLM applications by composing them into graphs that maintain persistent state and offer precise control over execution.

This instructor-led live training, available either online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and operate LangGraph-based legal solutions with the necessary compliance, traceability, and governance controls.

Upon completing 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.

Course Format

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

Course Customization Options

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

LangGraph serves as a framework designed for creating graph-structured LLM workflows that accommodate branching, tool integration, memory management, and controlled execution.

This instructor-led, live training session (available online or onsite) targets intermediate-level engineers and product teams aiming to merge LangGraph’s graph logic with LLM agent loops to develop dynamic, context-aware applications such as customer support agents, decision trees, and information retrieval systems.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and facilitated discussions.
• Guided labs and code walkthroughs within 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 is a graph-based orchestration framework that empowers conditional, multi-step LLM and tool workflows, making it ideal for automating and personalising 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 personalisation.
• Manage state, memory, and context across multi-step campaigns.
• Evaluate, monitor, and optimise 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 personalisation, segmentation, and branching logic.

Course Customization Options

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

Le Chat Enterprise offers a private ChatOps solution that enables organizations to leverage secure, customizable, and governed conversational AI features. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and integration with enterprise applications.

This instructor-led training session, available online or on-site, is designed for intermediate-level product managers, IT leads, solution engineers, and security and compliance teams who want to deploy, configure, and manage Le Chat Enterprise within their organizations.

Upon completing this training, participants will be able to:

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

Course Format

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

Course Customization Options

• To request a customized training version of this course, please get in touch with us to arrange it.

This instructor-led, live training in Nigeria (online or onsite) is tailored for beginner to intermediate game developers and UGC creators who aim to design, develop, and publish interactive and 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, Blender provides advanced 3D modeling capabilities, and Visual Studio acts as the programming backbone for integrating control systems and industrial logic.

This instructor-led live training, available both online and on-site, targets beginner to intermediate professionals seeking to design, model, and program industrial environments for simulation, training, and integration purposes.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Practical 3D modeling and environment development exercises.
• Programming and integration sessions 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 Nigeria (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 completing this training, participants will be able to:

• Identify and understand the new features introduced in the UE5 release.
• Harness UE5’s real-time 3D creation tools to generate realistic visuals.
• Explore and construct visual worlds and games.
• Learn and master core game design principles.
• Produce cutscene animations.