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Course Outline
Introduction to Physical AI
- Definition and scope of Physical AI
- Key components: AI algorithms and physical systems
- Relevance to industrial applications
AI-Driven Physical Systems
- Overview of robotics and autonomous systems
- AI in material handling and process automation
- Human-robot collaboration in industrial environments
Designing Physical AI Solutions
- Identifying industrial challenges and opportunities
- Prototyping AI-enhanced physical systems
- Simulating and validating designs
Implementing Physical AI in Industrial Processes
- Integration with existing industrial infrastructures
- Deploying autonomous systems for manufacturing and logistics
- Ensuring system reliability and safety
Evaluating Physical AI Applications
- Key performance indicators and metrics
- Assessing cost-effectiveness and ROI
- Scalability considerations for industrial environments
Overcoming Challenges in Physical AI Adoption
- Technical and operational barriers
- Addressing workforce skill gaps
- Ensuring compliance with industry standards
Case Studies and Future Trends
- Success stories in Physical AI implementation
- Emerging technologies and innovations
- The future of AI-driven industrial automation
Summary and Next Steps
Requirements
- Basic knowledge of artificial intelligence and machine learning concepts
- Familiarity with industrial processes and operations
Audience
- Industrial engineers
- Manufacturing specialists
- Tech executives
21 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- 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 €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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