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 Duration 21 hours

Course Outline

Essentials of TinyML Workflows

  • Introduction to the stages of the TinyML lifecycle
  • Attributes of edge hardware
  • Strategic considerations for workflow architecture

Data Acquisition and Preprocessing

  • Gathering structured and sensor-derived data
  • Approaches for data labeling and augmentation
  • Preparing datasets for resource-constrained settings

Developing Models for TinyML

  • Choosing model architectures appropriate for microcontrollers
  • Training processes utilizing standard ML frameworks
  • Assessing key model performance metrics

Model Optimization and Compression

  • Application of quantization methods
  • Strategies for pruning and weight sharing
  • Striking a balance between accuracy and resource limitations

Model Transformation and Packaging

  • Exporting models to TensorFlow Lite
  • Integrating models within embedded toolchains
  • Addressing model size and memory constraints

Deployment on Microcontrollers

  • Writing models to hardware targets
  • Setting up run-time environments
  • Conducting real-time inference tests

Monitoring, Testing, and Validation

  • Testing methodologies for deployed TinyML systems
  • Troubleshooting model behavior on hardware
  • Validating performance under field conditions

Integrating the Complete End-to-End Workflow

  • Constructing automated processes
  • Version controlling data, models, and firmware
  • Overseeing updates and iterative improvements

Wrap-up and Future Directions

Requirements

  • A solid grasp of machine learning fundamentals
  • Proficiency in embedded programming
  • Knowledge of Python-based data processing 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 4350 € + VAT*

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