Training TensorFlow Lite for embedded systems running Linux
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: Architecture and specialized systems
- TRAINING CODE: IT-AR-44
- DURATION: 3 days
- PRICE INFORMATION from: 3750 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
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.
Participant profile
- Embedded systems programmers
- IoT engineers
- Machine learning specialists
- Edge application developers
- Embedded systems architects
- Embedded software engineers
- AI specialists on devices
- C++ programmers interested in ML
Agenda
- Introduction to TensorFlow Lite
- 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
Benefits
Upon completion of the training, the participant will be able to effectively implement machine learning models on embedded systems using TensorFlow Lite. He or she will gain practical knowledge of 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.
Required preparation of participants
- Knowledge of programming in C++
- Basic knowledge of Linux systems
- Experience with embedded systems
- Understand the basics of machine learning
Issues
- TensorFlow Lite
- Linux embedded systems
- Optimization of ML models
- Memory management
- Processing on shore
- Debugging the application
- Performance monitoring
- Cross-compilation
- Systems testing
- Integration with the platform
- Optimization of resources
- Production deployment
Do you have any questions?
Feel free to contact us.
Anna Polak
+48 600 010 440
anna.polak@eitt.academy
31 Ząbkowska Street 03-736 Warsaw
Forms of training delivery
Stationary training
- Training at the customer's premises or at a designated location
- Training room equipped with the necessary equipment
- Training materials in electronic form
- Coffee breaks and lunch
- Direct interaction with the trainer
- Networking in a group
- Workshop exercises in teams
Remote training
- Virtual training environment
- Electronic materials
- Interactive online exercises
- Breakout rooms for group work
- Technical support during the training
- Recordings of the session (optional)
Possibility of funding
The training can be financed with public funds under:
- National Training Fund (KFS)
- Development Services Base (BUR)
- EU projects implemented by PARP
- HR Academy Program (PARP)
- Regional operational programs
If you are interested in funding, our team will help you prepare the required documentation.
HAVE A QUESTION?
Contact us for more information about our training, programs and cooperation. We will be happy to answer all your inquiries!
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Do you have any questions?
Feel free to contact us.
Anna Polak
+48 600 010 440
anna.polak@eitt.academy
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
We offer training in a variety of tailored formats: onsite (at the client's location or our training center), live online interactive with a trainer, and in a hybrid format. Detailed information about the available delivery forms for a specific training is always included in its description on the website.
Open online trainings usually take place from 9:00 - 17:00 Polish time. In the case of closed trainings dedicated to companies, the schedule is flexible and we arrange it individually with the client to best fit the needs of the organization.
We use proven and popular video conferencing platforms, such as Microsoft Teams and Zoom, to conduct interactive online training. They provide seamless communication, the ability to work in groups and direct contact with the trainer. We provide information about the platform used in a specific training to participants before the training begins.
To comfortably participate in the online training, all you need is a standard computer (desktop or laptop) with stable internet access and an up-to-date version of a web browser installed. We recommend using headphones with a microphone for better sound quality and communication, although this is not absolutely required. Having a webcam is usually not mandatory either.
Yes, each participant receives a set of training materials prepared by our experts. We usually provide them in electronic form (e.g., PDF files) a few days before the start of the training, after confirmation of participation and payment.
Upon successful completion of most of our training courses, participants receive a named EITT Certificate of Completion, confirming the competencies gained. In addition, we offer accredited training courses (e.g., ITIL®, PRINCE2®) that prepare for official internationally recognized certification exams. Information about the type of certificate available after a specific training is always included in the detailed description of the training.
The enrollment process depends on the type of training. For open trainings (open to anyone who is interested), you can sign up directly through the application form available on the page of the particular training. If you are interested in closed training (dedicated to employees of one company), please contact us directly by email or phone - we will prepare an offer tailored to your needs.
As standard, the price of the training includes: participation in classes taught by an experienced trainer-practitioner, a set of original training materials in electronic form, and a named EITT Certificate of Completion. For accredited training courses, the price often also includes the cost of taking the official certification exam. The detailed scope of benefits for a given course is always given in its description.
The preferred form of payment for our training courses is by bank transfer, executed on the basis of an issued pro forma invoice or VAT invoice. Detailed information on payment terms and conditions is provided in the process of confirming the enrollment in the training or can be found in the regulations.
Of course! Our specialty is closed-door training, designed "tailor-made" - according to the individual needs and business objectives of a given organization. If you are interested in a topic outside of our regular offerings or would like to modify the program of an existing course, feel free to contact us. We will be happy to prepare a dedicated solution.
We are flexible and adapt to the client's needs. We can organize closed trainings even for small groups - usually the minimum number of participants is 4 people, and the cost is often calculated for the whole group. Taking care of the highest quality and comfort of learning, in case of very large groups (more than 40 people) we usually recommend dividing into smaller teams to ensure effective interaction.
Your feedback is extremely important to us, as it allows us to continuously improve our offerings. After each training session, we send participants a link to a short online evaluation survey. You can also always contact us directly by email or phone to provide your comments.
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