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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
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
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