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.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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