​Part 2 of a three-part online series on Physical AI for business and technical leaders, taught by the engineers and strategists building it.

​Physical AI 101 gave you a shared language for the opportunity, the architecture, and the value. This 201 session covers what you need to know about the engineering itself: how each stage of the sense, reason, and act loop works, fails, and should be responsibly deployed.

​Physical AI 201: Understand the Engineering: What we’ll cover

​1. Sense perception and physical world intelligence

• ​Robotics, autonomous machines, sensors, edge AI, multimodal models, and digital twins are converging. The shifts in compute, models, sensing, and connectivity that make new applications possible, and where adoption is still hard.

​2. Reasoning models and decision intelligence

• ​Perception models, what’s changed within the last 3 years, edge versus cloud tradeoffs, and a realistic success cycle.

​3. Action: bringing intelligence into physical systems

• ​Why risk scales with mass and speed, how AI fits into a control stack where a deterministic safety layer holds final authority, and integrating with existing equipment.

​4. Guidelines for safe, responsible deployment 

• ​The current safety standards landscape and an industry-by-industry readiness map for use cases.

​You’ll walk away with

• ​Knowledge of how the sense, reason, and act loop works (and fails) in real systems

• ​A framework for evaluating whether your use case is right for physical AI

• ​Guidelines for safe, responsible physical AI deployment

​Meet your instructor

​John Houston, Robotics Manager, Fresh Consulting

​The Physical AI Series: earn your certificate

​Complete all three sessions to earn a Physical AI Training Certificate you can add to your LinkedIn profile.

• ​Part 1: Physical AI 101, Understand the Space (will be available soon on-demand)

• ​Part 2:  Understand the Engineering (this session)

• ​Part 3: Physical AI 301, Build It (TBA)