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Course Outline

Foundations of Edge AI

  • Core definitions and key concepts
  • Comparing Edge AI with cloud-based AI
  • Advantages and typical use cases
  • Overview of available edge devices and platforms

Configuring the Edge Environment

  • Introduction to hardware such as Raspberry Pi and NVIDIA Jetson
  • Installation of required software and libraries
  • Setting up the development environment
  • Preparing hardware for AI workload deployment

Creating AI Models for Edge

  • Review of machine learning and deep learning models suitable for edge devices
  • Strategies for training models in local and cloud settings
  • Optimization techniques for edge performance (e.g., quantization, pruning)
  • Utilizing frameworks like TensorFlow Lite and OpenVINO

Deploying Models on Edge Hardware

  • Processes for deploying AI models across different edge devices
  • Handling real-time data processing and inference
  • Oversight and management of deployed models
  • Review of practical examples and case studies

Building Practical AI Solutions

  • Creating AI applications for edge devices (e.g., computer vision, NLP)
  • Project: Constructing a smart camera system
  • Project: Enabling voice recognition on edge hardware
  • Group projects simulating real-world scenarios

Assessing and Optimizing Performance

  • Methods for measuring model efficacy on edge devices
  • Using tools for monitoring and troubleshooting Edge AI apps
  • Strategies to boost AI model performance
  • Mitigating issues related to latency and power usage

Integrating with IoT Ecosystems

  • Linking Edge AI solutions with IoT sensors and devices
  • Understanding communication protocols and data exchange
  • Constructing complete Edge AI and IoT solutions
  • Examples of practical integration workflows

Ethics and Security in AI

  • Safeguarding data privacy and security in Edge AI
  • Managing bias and ensuring fairness in AI models
  • Adhering to regulatory standards and compliance
  • Adopting best practices for responsible AI deployment

Capstone Projects and Labs

  • Building a full-scale Edge AI application
  • Applying skills to real-world scenarios
  • Collaborative team exercises
  • Presenting projects and receiving feedback

Requirements

  • A solid grasp of AI and machine learning fundamentals
  • Proficiency in programming languages (Python is preferred)
  • Basic knowledge of edge computing principles

Target Audience

  • Software Developers
  • Data Scientists
  • Tech Enthusiasts
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

I really liked the end where we took the time to play around with CHAT GPT. The room was not set up the best for this- instead of one large table a couple of small ones so we could get into small groups and brainstorm would have helped

Nola - Laramie County Community College
Course - Artificial Intelligence (AI) Overview

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski
Course - Applied AI from Scratch in Python

Upcoming Courses

Building AI Solutions on the Edge

2026-10-13 09:30
14 hours
Curitiba - Corporate Evolution
$ 5980 (Online)
$ 6980 (Classroom)

Building AI Solutions on the Edge

2026-10-27 09:30
14 hours
Belo Horizonte - Amadeus Business Tower
$ 5980 (Online)
$ 6980 (Classroom)

Building AI Solutions on the Edge

2026-11-10 09:30
14 hours
Porto Alegre - Platinum Building
$ 5980 (Online)
$ 6980 (Classroom)

Building AI Solutions on the Edge

2026-11-24 09:30
14 hours
Porto Alegre - Guaiba Business Center
$ 5980 (Online)
$ 6980 (Classroom)

Building AI Solutions on the Edge

2026-12-08 09:30
14 hours
Brasilia - Corporate Financial Center
$ 5980 (Online)
$ 6980 (Classroom)

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