Course 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.
Hands-On Learning
Build Edge AI pipelines, onboard devices, and deploy real-time inference scenarios.
Mentor-Led Sessions
Mentors guide architecture design, system integration, and IoT deployment strategies.
Career-Ready Skills
Develop Edge AI and IoT system design and deployment expertise.
Learning Outcomes
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
Prerequisites
Basic understanding of networking or systems.
Familiarity with AI or data concepts.
Interest in IoT and embedded technologies.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Introduction to Edge AI and IoT
- Environment setup and architecture overview
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of Edge AI & IoT Solutions, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
Engineers and professionals working with IoT, AI, or distributed systems.
Ready to Start Your Learning Journey?
Take the next step in your professional development