TensorFlow Lite for Embedded Systems Running Linux
The training provides a practical introduction to implementing machine learning models on embedded systems using TensorFlow Lite. Participants will learn techniques for optimizing and implementing models through workshops with real devices. The program combines theoretical fundamentals with intensive hands-on exercises, enabling participants to gain the skills necessary to create effective AI solutions on edge devices. Classes are conducted in a workshop format using real hardware platforms.
Issues
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TensorFlow Lite
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Linux embedded systems
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Optimization of ML models
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Memory management
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Processing on shore
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Debugging the application
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Performance monitoring
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Cross-compilation
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Systems testing
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Integration with the platform
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Optimization of resources
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Production deployment
Benefits
- Upon completion of the training, the participant will be able to effectively implement machine learning models on embedded systems using TensorFlow Lite
- Model optimization for resource-constrained devices
- Will develop skills in debugging and testing ML applications on embedded platforms
- Will learn to manage system resources in the context of executing machine learning models
- Will be able to monitor and optimize the performance of ML applications on edge devices
- Will gain the ability to integrate TensorFlow Lite into existing embedded systems
Who is this training for?
Prerequisites
- Knowledge of programming in C++
- Basic knowledge of Linux systems
- Experience with embedded systems
- Understand the basics of machine learning
Training program
TensorFlow Lite architecture
- Preparation of the development environment
Optimization of models
- TensorFlow model conversion
- Implementation on embedded systems
- Configuring the Linux environment
- Compilation for the target platform
Memory management
- Performance optimization
- Integration with applications
TensorFlow Lite APIs
- Input processing
- Interpretation of results
- Debugging the application
- Implementation and testing
Deployment to devices
- Performance monitoring
- Testing in the target environment
- Troubleshooting
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the TensorFlow Lite for Embedded Systems Running Linux training for?
The target audience includes embedded systems programmers, IoT engineers, and machine learning specialists. Level: beginner.
How long is the TensorFlow Lite for Embedded Systems Running Linux training?
The training lasts 3 days. It is delivered online or on-site.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
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