Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to TinyML and Edge AI
- Defining TinyML
- Benefits and challenges of running AI on microcontrollers
- Overview of TinyML tools: TensorFlow Lite and Edge Impulse
- Application scenarios for TinyML in IoT and real-world contexts
Establishing the TinyML Development Environment
- Installing and configuring the Arduino IDE
- Introduction to TensorFlow Lite for microcontrollers
- Utilizing Edge Impulse Studio for TinyML development
- Connecting and testing microcontrollers for AI applications
Constructing and Training Machine Learning Models
- Comprehending the TinyML workflow
- Gathering and preprocessing sensor data
- Training machine learning models for embedded AI
- Optimizing models for low-power and real-time processing requirements
Deploying AI Models on Microcontrollers
- Converting AI models into TensorFlow Lite format
- Flashing and executing models on microcontrollers
- Validating and debugging TinyML implementations
Enhancing TinyML for Performance and Efficiency
- Methods for model quantization and compression
- Power management strategies for edge AI
- Addressing memory and computation constraints in embedded AI
Practical Applications of TinyML
- Gesture recognition utilizing accelerometer data
- Audio classification and keyword spotting
- Anomaly detection for predictive maintenance
Security and Future Trends in TinyML
- Maintaining data privacy and security in TinyML applications
- Challenges associated with federated learning on microcontrollers
- Emerging research and advancements in the field of TinyML
Summary and Next Steps
Requirements
- Experience in embedded systems programming
- Proficiency with Python or C/C++ programming languages
- Foundational knowledge of machine learning concepts
- Understanding of microcontroller hardware and peripherals
Target Audience
- Embedded systems engineers
- AI developers
21 Hours
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*
Contact us for an exact quote and to hear our latest promotions
Testimonials (1)
That we can cover advance topic and work with real-life example
