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

This instructor-led live training in India (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 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 precise control over execution.

This instructor-led, live training (available online or onsite) is tailored for advanced-level AI platform engineers, AI DevOps professionals, and ML architects who aim to optimize, debug, monitor, and manage production-grade LangGraph systems.

By the conclusion of 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 data, and systematically reproduce production issues.
• Instrument graphs with logs, metrics, and traces; deploy to production environments; and monitor SLAs and costs.

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.

Devstral is an open-source framework engineered to facilitate the creation and execution of 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 looking 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 codebase exploration and modification.
• Integrate coding agents with developer tools and APIs.
• Implement best practices for secure and efficient agent deployment.

Course Format

• Interactive lecture and discussion.
• 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.

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 ML engineers, platform teams, and research engineers looking to self-host, fine-tune, and govern Mistral and Devstral models in 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 optimize 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 sessions for implementing 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 India (online or onsite) is designed for beginner to intermediate-level researchers and laboratory professionals who need to process and analyze images of histological tissues, blood cells, algae, and other biological specimens.

Upon completing this training, participants will be able to:

• Navigate the Fiji interface and effectively use ImageJ’s core capabilities.
• Preprocess and enhance scientific images to improve analytical accuracy.
• Perform quantitative image analysis, including cell counting and area measurements.
• Automate routine tasks using macros and plugins.
• Tailor workflows to meet specific image analysis requirements in biological studies.

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, enabling persistent state management and precise execution control.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to design, implement, and manage finance solutions based on LangGraph, ensuring proper governance, observability, and compliance.

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

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

Course Format

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

Customization Options

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

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

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

Upon completing this training, participants will be able to:

• Articulate the fundamental concepts of LangGraph (nodes, edges, state) and identify appropriate use cases.
• Construct prompt chains that support branching, tool invocation, and memory retention.
• Incorporate retrieval mechanisms and external APIs into graph-based workflows.
• Conduct testing, debugging, and evaluation of LangGraph applications to ensure reliability and safety.

Course Format

• Interactive lectures and guided discussions.
• Hands-on labs and code walkthroughs conducted in a sandbox environment.
• Scenario-based exercises focusing on design, testing, and evaluation.

Customization Options

• For personalized training arrangements for this course, please reach out to us.

LangGraph facilitates stateful, multi-actor workflows driven by LLMs, offering precise control over execution paths and state persistence. In the healthcare sector, these features are vital for ensuring compliance, enabling interoperability, and developing decision-support systems that align with medical workflows.

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real-world case studies.
• Implementation practice 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 constructing stateful, multi-actor LLM applications through composable graphs, enabling persistent state management and precise control over execution flow.

This instructor-led live training, available online or on-site, targets intermediate to advanced professionals aiming to design, implement, and manage LangGraph-based legal solutions, ensuring necessary compliance, traceability, and governance controls.

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

• Design LangGraph workflows tailored for legal requirements that maintain auditability and compliance.
• Integrate legal ontologies and document standards into graph states and processing logic.
• Implement guardrails, human-in-the-loop approval mechanisms, and traceable decision paths.
• Deploy, monitor, and maintain LangGraph services in production environments with robust observability and cost management.

Course Format

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

Customization Options

• For customized training arrangements, please reach out to us to coordinate.

LangGraph serves as a framework designed for assembling graph-structured LLM workflows, offering support for branching, tool integration, memory management, and controllable execution.

This instructor-led live training (available online or onsite) is tailored for intermediate-level engineers and product teams seeking 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 equipped to:

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

Course Format

• Interactive lectures coupled with facilitated discussions.
• Guided labs and code walkthroughs conducted within a sandbox environment.
• Scenario-based design exercises and peer reviews.

Course Customization Options

• To request customized training for this course, please get in touch with us to make arrangements.

LangGraph serves as a graph-based orchestration framework that facilitates conditional, multi-step workflows involving Large Language Models (LLMs) and tools, making it ideally suited for automating and personalizing content pipelines.

This instructor-led live training, available either online or at the participant's site, targets intermediate-level marketers, content strategists, and automation developers looking to build dynamic, branching email campaigns and content generation pipelines using LangGraph.

Upon completing this training, participants will be capable of:

• Designing graph-structured workflows for email and content that incorporate conditional logic.
• Integrating LLMs, APIs, and various data sources to achieve automated personalization.
• Managing state, memory, and context across complex, multi-step marketing campaigns.
• Evaluating, monitoring, and optimizing the performance and delivery outcomes of these workflows.

Course Format

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

Customization Options

• For those interested in tailored training for this course, please get in touch with us to arrange a customized schedule.

Le Chat Enterprise offers a private ChatOps solution, delivering secure, customizable, and governed conversational AI capabilities tailored for organizational needs. It supports Role-Based Access Control (RBAC), Single Sign-On (SSO), connectors, and seamless integration with enterprise applications.

This instructor-led live training, available online or onsite, targets intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who aim to deploy, configure, and govern Le Chat Enterprise within enterprise settings.

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

• Set up and configure Le Chat Enterprise for secure deployments.
• Enable RBAC, SSO, and compliance-driven controls.
• Integrate Le Chat with enterprise applications and data stores.
• Design and implement governance and admin playbooks for ChatOps.

Format of the Course

• Interactive lecture and discussion.
• Extensive 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.

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

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

• Comprehend the core concepts of UEFN and its significance in generating user-created content within Fortnite.
• Navigate the UEFN interface, configure projects, and handle assets with ease.
• Build and publish unique Fortnite experiences using world-building and landscaping utilities.
• Utilize basic programming logic via the Verse scripting language.
• Collaborate effectively on UEFN projects and prepare for monetization prospects within Fortnite.

By leveraging the combined strengths of Unity, Blender, and Visual Studio, professionals can build robust industrial virtual environments. Unity facilitates interactive simulation and visualisation, while Blender provides sophisticated 3D modelling tools. Visual Studio acts as the core programming platform, enabling the seamless integration of control systems and industrial logic.

This instructor-led live training, available both online and onsite, is designed for beginners to intermediate-level professionals aiming to design, model, and programme industrial environments for simulation, training, and integration purposes.

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

• Create industrial equipment and scenarios using Blender.
• Import and optimise 3D models within Unity for effective visualisation.
• Develop system logic and integration workflows using Visual Studio.
• Construct interactive industrial virtual environments linked to control systems.

Course Format

• Engaging lectures and discussions.
• Practical sessions on 3D modelling and environment development.
• Programming and integration exercises accompanied by live demonstrations.

Customisation Options

• For bespoke training arrangements, please get in touch with us.

This instructor-led, live training in India (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.