Course Outline
Introduction to Advanced AI in AR/VR Systems
- The role of AI in next-generation AR/VR experiences
- AI techniques for optimizing AR/VR performance
- Real-time AI systems in immersive environments
Advanced AI Algorithms for AR/VR
- Deep learning for AR/VR object recognition and interaction
- Reinforcement learning for real-time decision-making
- Generative models for creating dynamic content
Optimizing AR/VR Performance with AI
- AI-driven solutions for reducing latency
- Enhancing graphics and rendering through AI optimization
- Real-time data processing with AI for smooth experiences
AI-Driven Personalization in AR/VR Systems
- Using machine learning to tailor user experiences
- Adapting AR/VR environments based on user behavior
- Building intelligent avatars and virtual entities
AI for Dynamic and Interactive AR/VR Worlds
- Creating interactive objects with AI-based behavior
- Generating adaptive virtual worlds
- Enhancing realism and immersion through AI
Hands-On: Developing AI-Enhanced AR/VR Projects
- Implementing AI algorithms in AR/VR applications
- Optimizing performance using AI techniques in game engines
Future Trends in AI for AR/VR
- Emerging AI technologies in immersive environments
- Challenges and opportunities for AI-driven AR/VR development
- The future of AI and its impact on AR/VR innovation
Summary and Next Steps
Requirements
- Experience in AR/VR development
- Solid understanding of AI and machine learning
Audience
- AR/VR engineers
- AI developers
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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