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 Duration 14 hours

Course Outline

Introduction to Edge AI

  • Core definitions and concepts
  • Distinguishing Edge AI from cloud-based AI
  • Key benefits and common use cases
  • Survey of available edge devices and platforms

Configuring the Edge Environment

  • Overview of edge hardware (e.g., Raspberry Pi, NVIDIA Jetson)
  • Installation of required software and libraries
  • Setup of the development environment
  • Hardware preparation for AI integration

Building AI Models for the Edge

  • Overview of machine learning and deep learning models suitable for edge devices
  • Methods for training models in local and cloud settings
  • Optimization techniques for edge deployment (such as quantization and pruning)
  • Key tools and frameworks for Edge AI development (TensorFlow Lite, OpenVINO, etc.)

Deploying AI Models on Edge Hardware

  • Process for deploying AI models across different edge devices
  • Handling real-time data processing and inference on the edge
  • Oversight and management of deployed models
  • Illustrative examples and case studies

Practical AI Applications and Projects

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

Performance Assessment and Refinement

  • Methods for assessing model performance on edge devices
  • Utilizing tools for monitoring and debugging Edge AI apps
  • Tactics for optimizing AI model efficiency
  • Mitigating challenges related to latency and power usage

Integration with IoT Systems

  • Connecting Edge AI solutions with IoT devices and sensors
  • Understanding communication protocols and data exchange methods
  • Constructing an end-to-end Edge AI and IoT solution
  • Practical integration demonstrations

Ethical and Security Perspectives

  • Safeguarding data privacy and security in Edge AI applications
  • Mitigating bias and ensuring fairness in AI models
  • Adhering to relevant regulations and standards
  • Best practices for responsible AI deployment

Hands-On Projects and Exercises

  • Developing a comprehensive Edge AI application
  • Working on real-world projects and scenarios
  • Participating in collaborative group exercises
  • Presenting projects and receiving feedback

Requirements

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

Target Audience

  • Software Developers
  • Data Scientists
  • Tech Enthusiasts

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3200 € + VAT*

Contact us for an exact quote and to hear our latest promotions

(*The final price may vary depending on the technical specialization of the course, the level of customization, the method of delivery and the number of learners)

Need help picking the right course?
opleidingen@nobleprog.com or +31 208 080 666

Testimonials (2)

Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.

Matthew Gay - Tarsus Pharmaceuticals
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

Provisional Upcoming Courses (Contact Us For More Information)

Building AI Solutions on the Edge

2026-11-20 09:30
14 hours
Leeuwarden

Building AI Solutions on the Edge

2026-12-04 09:30
14 hours
Groningen

Building AI Solutions on the Edge

2026-12-18 09:30
14 hours
Zwolle

Building AI Solutions on the Edge

2027-01-01 09:30
14 hours
Tilburg

Building AI Solutions on the Edge

2027-01-15 09:30
14 hours
Eindhoven

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Related Categories

Machine Learning
Machine Learning
Edge AI
Edge AI