Building AI Solutions on the Edge Training in Auckland

Building AI Solutions on the Edge Training in Auckland, New Zealand

This training introduces participants to the concepts, tools, and best practices for designing and deploying AI solutions on edge devices.

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Building AI Solutions on the Edge Training is a professional training program delivered by ProgNXT in Auckland, New Zealand. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Building AI Solutions on the Edge Training course with hands-on, instructor-led sessions. This training introduces participants to the concepts, tools, and best practices for designing and deploying AI solutions on edge...

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: OIK83
14 Hrs
Last Updated: April 2026

Course Rating5/5

This training introduces participants to the concepts, tools, and best practices for designing and deploying AI solutions on edge devices. It focuses on practical skills for creating intelligent systems that run AI models locally on devices such as Raspberry Pi, NVIDIA Jetson, and smartphones—enabling real-time, secure, and low-latency AI applications.

Welcome to the official Building AI Solutions on the Edge Training certification program in Auckland, New Zealand. 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 knowledge of AI/ML concepts
Some experience with Python programming
Familiarity with hardware or embedded systems is helpful, but not required

By the end of this course, participants will be able to design, optimize, and deploy real-world AI solutions on edge devices, handling both the AI modeling and system integration needed for smart applications.

Understand the edge AI landscape and solution design principles
Optimize and deploy AI models to run efficiently on edge devices
Build end-to-end AI applications with real-world use cases
Apply tools like TensorFlow Lite, ONNX, or NVIDIA Jetson SDK
Solve challenges like performance, power, and connectivity

Architecture and components of Edge AI systems
AI model conversion and optimization
Deployment workflows for vision, voice, and sensor-based apps
Performance metrics and tuning
Edge solution planning and validation

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

Fundamentals and Setup of Edge AI Solutions

Introduction to Edge AI Solution Design

What is Edge AI?
Why build AI at the edge (speed, privacy, offline, cost)
Overview of common use cases: smart cameras, sensors, mobile apps

Edge AI Architecture and Components

Hardware overview: Raspberry Pi, Jetson Nano, Coral, mobile phones
AI development tools and model formats: TFLite, ONNX, OpenVINO
Deployment pipeline: training → optimization → inference

Model Optimization Techniques

Reducing model size with quantization and pruning
Converting models to run on edge devices

Building Real-World Edge AI Applications

Building AI Applications with Edge Inputs

Integrating camera, microphone, or sensor input
Example pipelines: real-time object detection, voice command recognition
Handling real-time constraints: latency, buffering, output display

Use Case Development and Edge Deployment

Choose a real-world scenario: security camera, smart assistant, environmental monitoring
Design full solution: device + AI model + input/output
Tools: Edge Impulse (optional), NVIDIA Jetson SDK, OpenCV

Final Review and Next Steps

Common challenges and how to solve them (power, updates, scalability)
Resources for advancing in edge AI
Wrap-up 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.

Building AI Solutions on the Edge Training Events in auckland

Online Events

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More Upcoming Session Dates

November 2026

🌐 Online Instructor-Led

6th Nov 2026→7th Nov 2026

📍 Auckland, New Zealand

12th Nov 2026→13th Nov 2026

🌐 Online Instructor-Led

18th Nov 2026→19th Nov 2026

📍 Auckland, New Zealand

26th Nov 2026→27th Nov 2026

December 2026

🌐 Online Instructor-Led

3rd Dec 2026→4th Dec 2026

📍 Auckland, New Zealand

9th Dec 2026→10th Dec 2026

🌐 Online Instructor-Led

19th Dec 2026→20th Dec 2026

📍 Auckland, New Zealand

27th Dec 2026→28th Dec 2026

January 2027

📍 Auckland, New Zealand

4th Jan 2027→5th Jan 2027

🌐 Online Instructor-Led

6th Jan 2027→7th Jan 2027

📍 Auckland, New Zealand

23rd Jan 2027→24th Jan 2027

🌐 Online Instructor-Led

26th Jan 2027→27th Jan 2027

Events for other courses in Auckland, New Zealand

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Building AI Solutions on the Edge Training in Auckland