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 Duration 21 hours

Course Outline

Core Principles of TinyML Pipelines

  • Summary of the TinyML process stages
  • Attributes of edge hardware
  • Key considerations for pipeline architecture

Data Acquisition and Preparation

  • Gathering structured and sensor data
  • Strategies for labelling and augmenting data
  • Preparing datasets for resource-limited environments

TinyML Model Construction

  • Choosing model architectures suited to microcontrollers
  • Training procedures using standard ML frameworks
  • Assessing model performance metrics

Model Refinement and Compression

  • Quantisation methods
  • Pruning and weight sharing techniques
  • Optimising the balance between accuracy and resource limitations

Model Transformation and Packaging

  • Exporting models to TensorFlow Lite
  • Incorporating models into embedded toolchains
  • Managing model size and memory restrictions

Implementation on Microcontrollers

  • Installing models onto hardware targets
  • Setting up run-time environments
  • Testing real-time inference

Monitoring, Testing, and Validation

  • Testing approaches for deployed TinyML systems
  • Troubleshooting model behaviour on hardware
  • Validating performance under field conditions

Integrating the Complete End-to-End Pipeline

  • Creating automated workflows
  • Version control for data, models, and firmware
  • Managing updates and iterations

Conclusion and Next Steps

Requirements

  • A solid grasp of core machine learning concepts
  • Practical experience in embedded programming
  • Proficiency in Python-based data workflows

Target Audience

  • AI engineers
  • Software developers
  • Embedded systems specialists

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 3900 € + VAT*

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