---
url: "https://xcademia.com/courses/physical-ai-fundamentals"
title: Physical AI Fundamentals
description: "Learn Physical AI, robotics basics, perception and control systems in this mentor-led foundational training programme."
publishedAt: "2026-03-21T05:23:56.287509+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "FSE-0055"
level: Foundation
duration_days: "2"
track: "Robotics & Automation"
category: "Future Skills & Emerging Tech"
credential_tier: tier1
price_gbp: "1799"
---

# Physical AI Fundamentals

> Understand how AI enables physical systems including robotics, automation and intelligent machines. This mentor-led programme uses practical scenarios to explore perception, planning and control fundamentals.

## Overview

Physical AI is reshaping industries by enabling machines to perceive, decide, and act in real-world environments. From warehouse automation to humanoid robotics, organisations are investing in systems that bridge digital intelligence with physical execution.

This programme introduces the core building blocks of Physical AI, including perception systems, planning techniques, and control mechanisms. Participants gain a clear understanding of how intelligent machines operate and how these systems are applied across industries.

Delivered as a mentor-led programme using practical scenarios, this course provides a structured and accessible introduction to Physical AI, enabling learners to understand real-world use cases and prepare for deeper technical exploration.

## Prerequisites

- Basic understanding of technology concepts.
- Interest in AI or robotics.
- No prior experience required.

## What you will learn

- Analyse Physical AI systems and components
- Evaluate perception and sensing approaches
- Design basic planning and control frameworks
- Communicate robotics concepts clearly
- Evaluate real-world automation use cases
- Understand integration of AI with physical systems

## Skills you will gain

- Physical AI fundamentals
- Robotics system basics
- Perception and sensing
- Planning concepts
- Control systems basics
- Automation applications

## Career progression

- Robotics Engineer
- AI Engineer
- Automation Specialist
- Product Manager
- Innovation Analyst

## Curriculum

1. **Module 1: Getting Ready**
   - Programme overview and expectations
   - Introduction to Physical AI concepts
2. **Module 2: Physical AI Foundations**
   - What is Physical AI
   - Components of intelligent systems
   - Industry landscape and evolution
3. **Module 3: Perception Systems**
   - Sensors and data acquisition
   - Computer vision fundamentals
   - Environment interpretation
4. **Module 4: Planning and Decision Making**
   - Path planning concepts
   - Task execution strategies
   - Decision-making in dynamic environments
5. **Module 5: Control Systems Basics**
   - Motion and control fundamentals
   - Feedback loops and system stability
   - Actuators and response mechanisms
6. **Module 6: Industry Applications**
   - Warehouse automation systems
   - Autonomous machines and robotics
   - Humanoid robots overview
7. **Module 7: Practical Scenarios**
   - Real-world application analysis
   - System design thinking
   - Future trends and opportunities

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Who should attend this course?**

Anyone interested in robotics, AI, or automation including non-technical professionals.



**Do I need prior robotics knowledge?**

No, this is a beginner-friendly programme.



**Are real-world applications included?**

Yes, including warehouse automation and robotics examples.



**Will I learn programming?**

No, this course focuses on foundational concepts rather than coding.



**What certificate will I receive?**

Participants receive an Xcademia Foundation Certificate upon completion.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | FSE-0055 |
| Duration | 2 days |
| Level | Foundation |
| Track | Robotics & Automation |
| Category | Future Skills & Emerging Tech |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Physical AI Fundamentals](https://xcademia.com/courses/physical-ai-fundamentals). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/physical-ai-fundamentals
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt