---
url: "https://xcademia.com/courses/edge-ai-iot-solutions"
title: "Edge AI & IoT Solutions"
description: "Learn Edge AI, IoT architectures, telemetry pipelines and device security in this mentor-led practical training programme."
publishedAt: "2026-03-21T05:11:13.233514+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "FSE-0053"
level: Practitioner
duration_days: "3"
track: "Edge, 5G & Digital Twins"
category: "Future Skills & Emerging Tech"
credential_tier: tier1
price_gbp: "1999"
---

# Edge AI & IoT Solutions

> Learn how to design Edge AI and IoT systems including device integration and real-time inference. This mentor-led programme uses practical scenarios to build secure, scalable and production-ready solutions.

## Overview

Edge AI and IoT are transforming industries by enabling real-time data processing and intelligent decision-making at the device level. From smart manufacturing to connected healthcare, organisations are deploying distributed systems that require robust design and secure integration.

This programme focuses on building Edge AI and IoT solutions, including architecture design, device onboarding, telemetry pipelines, and on-device inference. Participants learn how to integrate devices with cloud systems while maintaining performance, scalability, and security.

Delivered as a mentor-led programme using practical scenarios, this course equips participants to design, deploy, and manage Edge AI systems that operate reliably in real-world environments.

## Prerequisites

- Basic understanding of networking or systems.
- Familiarity with AI or data concepts.
- Interest in IoT and embedded technologies.

## What you will learn

- Analyse Edge AI and IoT architectures
- Design distributed intelligent systems
- Implement device onboarding and telemetry pipelines
- Evaluate on-device inference performance
- Communicate system design and integration
- Deploy scalable and secure IoT solutions

## Skills you will gain

- Edge AI architecture design
- IoT device onboarding
- Telemetry data pipelines
- On-device inference basics
- IoT security practices
- Device lifecycle management

## Career progression

- IoT Engineer
- Edge AI Developer
- Solutions Architect
- Embedded Systems Engineer
- AI Engineer

## Curriculum

1. **Module 1: Getting Ready**
   - Introduction to Edge AI and IoT
   - Environment setup and architecture overview
2. **Module 2: Edge AI Architecture Fundamentals**
   - Edge vs cloud computing models
   - Distributed system design
   - Use cases and patterns
3. **Module 3: Device Onboarding and Connectivity**
   - Device provisioning and registration
   - Communication protocols (MQTT, HTTP)
   - Managing device lifecycle
4. **Module 4: Telemetry Pipelines and Data Flow**
   - Collecting and streaming device data
   - Data pipelines and processing
   - Integrating with cloud systems
5. **Module 5: On-Device Inference**
   - Running AI models on edge devices
   - Performance optimisation
   - Resource constraints and trade-offs
6. **Module 6: Security in Edge and IoT Systems**
   - Device authentication and encryption
   - Securing data transmission
   - Threats and mitigation strategies
7. **Module 7: IoT Operations and Scaling**
   - Monitoring and managing devices
   - Updating and maintaining systems
   - Scaling IoT deployments
8. **Module 8: Practical Edge AI Solutions**
   - End-to-end solution build
   - Real-world use case implementation
   - Testing and optimisation

## 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?**

Engineers and professionals working with IoT, AI, or distributed systems.



**Do I need hardware experience?**

Basic understanding helps, but core concepts are explained clearly.



**Will I build real IoT solutions?**

Yes, including end-to-end Edge AI and IoT system scenarios.



**Is security covered?**

Yes, including device authentication, encryption, and threat mitigation.



**What certificate will I receive?**

Participants receive an Xcademia Practitioner Certificate upon completion.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | FSE-0053 |
| Duration | 3 days |
| Level | Practitioner |
| Track | Edge, 5G & Digital Twins |
| Category | Future Skills & Emerging Tech |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Edge AI & IoT Solutions](https://xcademia.com/courses/edge-ai-iot-solutions). 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/edge-ai-iot-solutions
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt