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
  • Techniques for reducing model size
  • Hands-on exercises for model compression

Quantization Methods

  • Overview of quantization and its benefits
  • Types of quantization (post-training, quantization-aware training)
  • Hands-on exercises for model quantization

Pruning and Other Optimization Techniques

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

Deploying Optimized Models on Edge Devices

  • Preparing the edge device environment
  • Deploying and testing optimized models
  • Troubleshooting deployment issues
  • Hands-on 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
  • Hands-on exercises with optimization tools

Real-World Applications and Case Studies

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

Summary and Next Steps

Requirements

  • An understanding of AI and machine learning concepts
  • Experience with AI model development
  • Basic programming skills (Python recommended)

Audience

  • AI developers
  • Machine learning engineers
  • System architects
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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