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

This instructor-led, live training in Kenya (online or onsite) targets intermediate to advanced 3D artists, game developers, and visualization specialists who wish to build upon their Autodesk 3ds Max expertise and acquire the skills necessary to create immersive real-time experiences within Unreal Engine.

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

• Grasp the fundamental distinctions between 3ds Max and Unreal Engine workflows.
• Import 3D models, animations, and assets from 3ds Max into Unreal Engine.
• Design and tailor materials, textures, and shaders in Unreal Engine.
• Configure dynamic lighting and global illumination for real-time rendering.
• Integrate interactivity and gameplay mechanics using Blueprint visual scripting.
• Optimise assets and scenes to enhance real-time performance and efficiency.

LangGraph serves as a robust framework designed for constructing stateful, multi-agent LLM applications through composable graphs, ensuring persistent state and precise control over execution flows.

This instructor-led live training, available both online and onsite, targets advanced AI platform engineers, DevOps professionals specializing in AI, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.

Upon completing this training, participants will be equipped to:

• Design and optimize complex LangGraph topologies to enhance speed, reduce costs, and improve scalability.
• Ensure system reliability through the implementation of retries, timeouts, idempotency, and checkpoint-based recovery mechanisms.
• Debug and trace graph executions, inspect states, and systematically reproduce issues encountered in production environments.
• Instrument graphs with logs, metrics, and traces, deploy them to production, and actively monitor SLAs and associated costs.

Course Format

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

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

Devstral is an open-source framework engineered to build and operate coding agents capable of interacting with codebases, developer utilities, and APIs to 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 completion of this training, participants will be equipped 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 application.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• For customized training requests, please contact us to arrange.

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

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

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

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

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on self-hosting and fine-tuning.
• Live laboratory 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 session in Kenya (online or onsite) is designed for beginner to intermediate 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 creating stateful, multi-agent LLM applications through composable graphs that maintain persistent state and offer precise control over execution flow.

This instructor-led live training, available either online or on-site, targets intermediate to advanced professionals looking 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:

• Design finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrate financial data standards and ontologies into graph states and associated tooling.
• Implement reliability, safety, and human-in-the-loop controls for critical processes.
• Deploy, monitor, and optimize LangGraph systems to ensure optimal performance, cost-efficiency, and adherence to SLAs.

Course Format

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

Customization Options

• For customized training requests for this course, please contact us to arrange details.

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

This instructor-led, live training (available online or onsite) targets beginner-level developers, prompt engineers, and data practitioners who aim 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 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, enhancing interoperability, and developing decision-support systems that align with clinical workflows.

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

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

• Design healthcare-specific LangGraph workflows with a focus on 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.

Course Customization Options

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

LangGraph is a framework for building stateful, multi-actor LLM applications as composable graphs with persistent state and precise 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 legal solutions with the necessary compliance, traceability, and governance controls.

By the end of 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.

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 serves as a framework for assembling graph-structured Large Language Model (LLM) workflows that enable branching, tool utilization, 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. Examples include 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 systems, APIs, and structured outputs into agent loops.
• Evaluate, monitor, and strengthen agent behavior 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 serves as a graph-based orchestration framework designed to facilitate conditional, multi-step workflows involving Large Language Models (LLMs) and tools, making it ideal for automating and personalizing content pipelines.

This instructor-led live training, available both online and onsite, targets intermediate-level marketers, content strategists, and automation developers. The course focuses on implementing dynamic, branching email campaigns and content generation pipelines using LangGraph.

Upon completing this training, participants will be equipped to:

• Create graph-structured workflows for content and email, incorporating conditional logic.
• Seamlessly integrate LLMs, APIs, and data sources to enable automated personalization.
• Effectively manage state, memory, and context throughout multi-step campaigns.
• Evaluate, monitor, and optimize the performance and delivery outcomes of their workflows.

Course Format

• Engaging interactive lectures coupled with group discussions.
• Practical hands-on labs focused on implementing email workflows and content pipelines.
• Scenario-based exercises covering personalization, segmentation, and branching logic.

Course Customization Options

• For those interested in tailored training for this course, please get in touch with us to make arrangements.

This instructor-led, live training in Kenya (online or onsite) is designed for beginner to intermediate game developers and User-Generated Content (UGC) creators who aim to create, build, and launch interactive and revenue-generating experiences for the Fortnite community.

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

• Grasp the fundamental concepts of UEFN and its significance in fostering user-generated content within Fortnite.
• Efficiently navigate the UEFN interface, initialize projects, and organize assets.
• Create and release custom Fortnite experiences utilizing worldbuilding and landscaping functionalities.
• Implement foundational programming principles through the Verse scripting language.
• Work collaboratively on UEFN initiatives and readiness for monetization pathways in Fortnite.

By combining Unity, Blender, and Visual Studio, you gain a robust toolkit for designing and programming industrial virtual environments. Unity facilitates interactive simulation and visualization, Blender provides advanced 3D modeling capabilities, and Visual Studio acts as the programming core for integrating control systems and industrial logic.

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

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.
• Create interactive industrial virtual environments connected to control systems.

Course Format

• Interactive lectures and discussions.
• Practical hands-on sessions for 3D modeling and environment development.
• Programming and integration exercises supported by live demonstrations.

Customization Options

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

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

This instructor-led live training in Kenya (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.