LLMs for Virtual Reality (VR) and Augmented Reality (AR) Training Course
Virtual Reality (VR) and Augmented Reality (AR) platforms deliver highly immersive environments for storytelling, education, and interaction. By integrating Large Language Models (LLMs), these experiences can be significantly enhanced through dynamic content generation and natural language interaction.
This instructor-led, live training session, available either online or onsite, is designed for intermediate-level VR and AR developers, game designers, and AI engineers who aim to incorporate LLMs into their applications to build more engaging and responsive virtual environments.
Upon completion of this training, participants will be equipped to:
- Grasp the pivotal role of LLMs in crafting immersive VR and AR experiences.
- Build VR and AR applications that leverage LLMs for interactive dialogues and content creation.
- Seamlessly integrate LLMs with VR and AR development tools to boost user engagement.
- Implement best practices for designing AI-driven narratives and interactions within virtual spaces.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical drills.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request a tailored training session for this course, please contact us to make arrangements.
Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to LLMs in VR and AR
- Exploring the potential of LLMs in immersive technologies
- Understanding the basics of LLMs and their capabilities
- Current trends and case studies in LLM-powered VR and AR
Integrating LLMs with VR and AR Development
- Setting up development environments for VR and AR with LLMs
- Designing interactive scenarios with LLM-driven dialogues
- Creating dynamic content and storylines using LLMs
Enhancing User Experience with LLMs
- Personalizing VR and AR experiences with natural language processing
- Implementing voice commands and conversational interfaces
- Measuring and improving user engagement through AI analytics
Best Practices and Ethical Considerations
- Designing inclusive and accessible VR and AR applications
- Addressing ethical concerns in AI-driven virtual environments
- Maintaining user privacy and data security
Hands-on Lab: Creating an LLM-Enhanced VR/AR Project
- Developing a prototype VR or AR application with LLM integration
- Testing interaction and narrative flow with real users
- Gathering feedback and iterating on the design
Summary and Next Steps
Requirements
- A foundational understanding of VR and AR development.
- Practical experience with Python programming.
- Familiarity with 3D modeling and animation techniques.
Target Audience
- VR and AR developers.
- Game designers.
- AI engineers.
14 Hours
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
LLMs for Virtual Reality (VR) and Augmented Reality (AR) Training Course - Enquiry
Related Courses
Advanced LangGraph: Optimization, Debugging, and Monitoring Complex Graphs
35 Hours
This live, instructor-led training in Botswana is designed for advanced AI platform engineers, DevOps for AI, and ML architects who seek to optimise, debug, monitor, and operate production-grade LangGraph systems, enabling the creation of stateful, multi-actor LLM applications as composable graphs.
Read more...
Building Coding Agents with Devstral: From Agent Design to Tooling
14 Hours
Master Devstral in this live training held in Botswana. It covers architecture, agentic workflow design, and tool integration. Ideal for advanced engineers, the course uses hands-on labs to build coding agents that enhance productivity and security within modern development environments.
Read more...
Open-Source Model Ops: Self-Hosting, Fine-Tuning and Governance with Devstral & Mistral Models
14 Hours
This instructor-led training in Botswana targets ML engineers seeking to master self-hosting and fine-tuning Devstral and Mistral models. Participants learn practical governance, monitoring, and compliance techniques to deploy open-source AI with confidence in production environments.
Read more...
LangGraph Applications in Finance
35 Hours
This instructor-led training in Botswana equips professionals to design LangGraph-based finance solutions. Participants learn to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with strong governance, observability, and compliance controls.
Read more...
LangGraph Foundations: Graph-Based LLM Prompting and Chaining
14 Hours
This instructor-led LangGraph Foundations course in Botswana equips developers to build graph-based LLM apps. Learn core concepts like nodes and edges, state management, and branching logic. Integrate tools, retrieval, and external APIs, then test and deploy reliable workflows with hands-on labs.
Read more...
LangGraph in Healthcare: Workflow Orchestration for Regulated Environments
35 Hours
Explore LangGraph for healthcare with this live training in Botswana, tailored for intermediate to advanced professionals. Learn to design stateful, compliant workflows, integrate standards like FHIR and SNOMED CT, and address ethical, operational challenges in regulated environments.
Read more...
LangGraph for Legal Applications
35 Hours
Master LangGraph for legal applications with this 35-hour instructor-led training in Botswana. Ideal for intermediate to advanced professionals, this course covers workflow design, compliance controls, and human-in-the-loop approvals. Build auditable, production-ready LLM solutions with confidence.
Read more...
Building Dynamic Workflows with LangGraph and LLM Agents
14 Hours
This live, online or onsite course in Botswana guides intermediate engineers through building dynamic LLM workflows with LangGraph. Learn to design stateful graphs, implement branching logic, and integrate retrieval, APIs, and memory for robust, context-aware applications.
Read more...
LangGraph for Marketing Automation
14 Hours
This instructor-led training in Botswana introduces LangGraph for marketing automation. Participants learn to design conditional content workflows, integrate LLMs for personalized email campaigns, and manage state across multi-step pipelines, gaining practical skills for modern marketing.
Read more...
Le Chat Enterprise: Private ChatOps, Integrations & Admin Controls
14 Hours
This live training in Botswana covers Le Chat Enterprise, a private ChatOps solution for secure, governed conversational AI. Learners will deploy, configure, and integrate it with enterprise apps, enabling RBAC, SSO, and compliance-driven controls for scalable, secure AI workflows.
Read more...
Cost-Effective LLM Architectures: Mistral at Scale (Performance / Cost Engineering)
14 Hours
Master cost-effective Mistral LLM architectures with this 14-hour live training in Botswana. Learn to deploy, optimize, and scale Mistral Medium 3 for maximum throughput and minimum cost, using batching, quantization, and efficient serving strategies for enterprise workloads.
Read more...
Productizing Conversational Assistants with Mistral Connectors & Integrations
14 Hours
This live training in Botswana covers integrating Mistral conversational assistants into enterprise workflows. Participants will learn to connect SaaS tools, implement retrieval-augmented generation, and design effective UX patterns for customer-facing and internal chat interfaces.
Read more...
Enterprise-Grade Deployments with Mistral Medium 3
14 Hours
This instructor-led training in Botswana helps advanced AI engineers deploy and secure Mistral Medium 3. You will optimize inference costs, implement multimodal use cases, and apply enterprise compliance practices. Includes hands-on labs for API and self-hosted setups.
Read more...
Mistral for Responsible AI: Privacy, Data Residency & Enterprise Controls
14 Hours
This live Mistral Responsible AI training in Botswana is tailored for compliance and security leads. You will master privacy-preserving techniques, data residency strategies, and enterprise controls such as RBAC and SSO to ensure secure, compliant AI deployment.
Read more...
Multimodal Applications with Mistral Models (Vision, OCR, & Document Understanding)
14 Hours
Learn to build multimodal applications using Mistral models, focusing on OCR, document understanding, and vision-text search. This hands-on training covers pipeline implementation, NLP integration, and enterprise-grade design, delivered online or in Botswana.
Read more...
