Technologies / Artificial Intelligence

TensorFlow Lite for iOS - machine learning on mobile devices

This three-day specialized training introduces participants to the world of machine learning on mobile devices using TensorFlow Lite for iOS. The program has been carefully designed to combine the theoretical foundations of machine learning with the practical aspects of implementing ML models on mobile devices. The course focuses on effectively utilizing the computing power of iOS devices while maintaining high performance and low battery consumption. Through a combination of lectures and intensive hands-on workshops, participants learn not only to implement, but also to optimize and adapt machine learning models to the specifics of mobile devices.

Issues

TensorFlow Lite
Machine learning models
Optimization on devices
Quantization of models
Neural Engine
Transfer learning
Image processing
Text analysis
Speech recognition
Performance profiling
Data privacy
Production monitoring

Benefits

Upon completion of the training, the participant will be able to effectively implement and optimize machine learning models on iOS devices using TensorFlow Lite
The ability to adapt existing ML models to the limitations of mobile devices
Will learn to design application architectures that take into account the specifics of ML processing on the device
Will be able to implement advanced AI features with high performance and low power consumption
Will learn techniques for monitoring and optimizing the performance of ML models in a production environment
Will master methods to ensure data privacy while maintaining machine learning efficiency

Who is this training for?

iOS developers interested in integrating machine learning

ML engineers working on mobile solutions

Developers of applications using artificial intelligence

Mobile solution architects designing ML systems

Mobile application optimization specialists

Developers working on advanced AI features

R&D engineers exploring ML capabilities on devices

Developers of applications that process data in real time

Prerequisites

Practical knowledge of iOS programming in Swift
Basic knowledge of machine learning
Experience in mobile application development
Understanding data processing concepts

Training program

Conversion of models to mobile format

Optimizing models for mobile devices

Image processing and computer vision
Speech recognition and audio processing
Text analysis and NLP on the device
Transfer learning in a mobile context

Model quantization techniques
Optimization for CPU and Neural Engine
Memory and resource management
Profiling and debugging ML models

Integration with CoreML and other frameworks
Strategies for updating models
Performance monitoring in a production environment
Ensuring the privacy of user data

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 iOS - machine learning on mobile devices training for?

This training is designed for professionals looking to develop skills in tensorflow lite for ios - machine learning on mobile devices. Required level: advanced.

How long is the TensorFlow Lite for iOS - machine learning on mobile devices training?

The training lasts 3. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

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.