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 Duration 14 hours

Course Outline

Introduction to Edge AI Optimization

  • Overview of edge AI and its challenges
  • Importance of model optimization for edge devices
  • Case studies of optimized AI models in edge applications

Model Compression Techniques

  • Introduction to model compression
  • Strategies for reducing model size
  • Practical exercises for model compression

Quantization Methods

  • Overview of quantization and its advantages
  • Types of quantization (post-training, quantization-aware training)
  • Practical exercises for model quantization

Pruning and Other Optimization Techniques

  • Introduction to pruning
  • Methods for pruning AI models
  • Other optimization techniques (e.g., knowledge distillation)
  • Practical exercises for model pruning and optimization

Deploying Refined Models on Edge Devices

  • Preparing the edge device environment
  • Deploying and testing refined models
  • Resolving deployment issues
  • Practical exercises for model deployment

Tools and Frameworks for Optimization

  • Overview of tools and frameworks (e.g., TensorFlow Lite, ONNX)
  • Using TensorFlow Lite for model optimization
  • Practical exercises with optimization tools

Real-World Applications and Case Studies

  • Review of successful edge AI optimization projects
  • Discussion of industry-specific use cases
  • Practical project for building and optimizing a real-world application

Summary and Next Steps

Requirements

  • Familiarity with AI and machine learning concepts
  • Experience in AI model development
  • Fundamental programming skills (Python is recommended)

Target Audience

  • AI developers
  • Machine learning engineers
  • System architects

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 2600 € + 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?
info@nobleprog.pt or +351 30 050 9666

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)

Optimizing AI Models for Edge Devices

2026-11-13 09:30
14 hours
Holiday Inn Porto - Gaia

Optimizing AI Models for Edge Devices

2026-11-27 09:30
14 hours
Hotel Central Parque

Optimizing AI Models for Edge Devices

2026-12-11 09:30
14 hours
Four Points by Sheraton Matosinhos

Optimizing AI Models for Edge Devices

2026-12-25 09:30
14 hours
Hotel Real Oeiras

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Related Categories

Machine Learning
Machine Learning
Edge AI
Edge AI