Edge AI Fundamentals Training in Ontario

Edge AI Fundamentals Training in Ontario, Canada

The course focuses on foundational concepts, hands-on tools, and real-world applications across industries like manufacturing, healthcare, automotive, and smart devices.

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Edge AI Fundamentals Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Edge AI Fundamentals Training course with hands-on, instructor-led sessions. This training introduces participants to Edge AI—the practice of running artificial intelligence algorithms directly on devices such as...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: LUD92
14 Hrs
Last Updated: April 2026

Course Rating5/5

This training introduces participants to Edge AI—the practice of running artificial intelligence algorithms directly on devices such as smartphones, sensors, IoT devices, and embedded systems. The course focuses on foundational concepts, hands-on tools, and real-world applications across industries like manufacturing, healthcare, automotive, and smart devices.

Welcome to the official Edge AI Fundamentals Training certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic understanding of AI/ML concepts
Familiarity with Python and basic programming
Interest in IoT, hardware, or embedded systems

By the end of the training, participants will be able to understand and implement AI models on edge devices, optimize them for performance, and explore use cases in smart environments, industry automation, and real-time analytics.

Understanding the difference between cloud AI and edge AI
Deploying simple AI models on edge devices
Using tools like TensorFlow Lite, OpenVINO, or NVIDIA Jetson
Designing efficient AI solutions for low-power hardware
Exploring real-world Edge AI use cases

Edge AI architecture and deployment flow
AI model compression and optimization
Latency, privacy, and power efficiency in Edge AI
Hands-on model deployment on Raspberry Pi / mobile devices
Edge AI use case planning and evaluation

ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Foundations of Edge AI

What is Edge AI?

Definition and key concepts
Differences between cloud AI and edge AI
Advantages: Low latency, privacy, offline use, real-time insights

Edge AI Architecture and Components

AI pipelines on edge devices
Hardware: Raspberry Pi, Coral Dev Board, smartphones
Software stacks: TensorFlow Lite, PyTorch Mobile

AI Model Optimization and Conversion

Reducing model size: quantization, pruning
Converting models to run on edge (e.g., TFLite conversion)
Example: Convert a CNN model for image classification

Applications and Deployment

Real-World Use Cases of Edge AI

Smart cameras (face/mask detection)
Industrial automation (fault detection)
Healthcare devices (monitoring vitals)
Smart homes (voice assistants, gesture control)

Building Lightweight AI Applications

Create a basic AI app using TensorFlow Lite
Use cases: Voice command recognition, anomaly detection
Optimize for performance, memory, and battery usage

Edge AI Deployment Challenges

Security and privacy
Connectivity issues and offline usage
Updating models remotely

Final Exercise – Design an Edge AI Solution

Choose a scenario (e.g., smart farming, security, health monitoring)
Define the problem, model type, device, and deployment flow
Present a prototype or system design

Wrap-Up and Next Steps

Open-source tools and kits for further learning
How to integrate Edge AI into existing projects
Final Q&A and feedback

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants will be evaluated based on:
Daily quizzes, mock questions and query resolution. Participation in hands-on exercises and labs. Performance in the final review and hands-on exercises will be evaluated.
ProgNXT Certificate of Completion will be awarded to participants who complete the course and pass the evaluations.

Edge AI Fundamentals Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

27th Oct 2026→28th Oct 2026

🌐 Online Instructor-Led

28th Oct 2026→29th Oct 2026

November 2026

📍 Ontario, Canada

5th Nov 2026→6th Nov 2026

🌐 Online Instructor-Led

6th Nov 2026→7th Nov 2026

📍 Ontario, Canada

21st Nov 2026→22nd Nov 2026

🌐 Online Instructor-Led

22nd Nov 2026→23rd Nov 2026

December 2026

📍 Ontario, Canada

2nd Dec 2026→3rd Dec 2026

🌐 Online Instructor-Led

3rd Dec 2026→4th Dec 2026

📍 Ontario, Canada

22nd Dec 2026→23rd Dec 2026

🌐 Online Instructor-Led

23rd Dec 2026→24th Dec 2026

Events for other courses in Ontario, Canada

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Edge AI Fundamentals Training in Ontario