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Duration 21 hours
Course Outline
Introduction to TinyML and Embedded AI
- Key features of TinyML model deployment
- Limitations within microcontroller environments
- Overview of embedded AI toolchains
Foundations of Model Optimization
- Identifying computational bottlenecks
- Recognizing memory-intensive operations
- Conducting baseline performance profiling
Quantization Techniques
- Post-training quantization approaches
- Quantization-aware training methods
- Assessing the balance between accuracy and resource usage
Pruning and Compression
- Structured and unstructured pruning techniques
- Weight sharing and model sparsity
- Compression algorithms for lightweight inference
Hardware-Aware Optimization
- Deploying models on ARM Cortex-M systems
- Optimizing for DSP and accelerator extensions
- Considerations for memory mapping and dataflow
Benchmarking and Validation
- Analyzing latency and throughput
- Measuring power and energy consumption
- Testing accuracy and robustness
Deployment Workflows and Tools
- Utilizing TensorFlow Lite Micro for embedded deployment
- Integrating TinyML models with Edge Impulse pipelines
- Testing and debugging on physical hardware
Advanced Optimization Strategies
- Neural architecture search for TinyML
- Combining quantization and pruning approaches
- Applying model distillation for embedded inference
Summary and Next Steps
Requirements
- A solid grasp of machine learning workflows
- Practical experience with embedded systems or microcontroller-based development
- Proficiency in Python programming
Audience
- AI researchers
- Embedded ML engineers
- Professionals specializing in resource-constrained inference systems
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.
Price per private group, online live training, starting from 4800 € + VAT*
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