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Technologies / Artificial Intelligence

TensorFlow Lite for Android - machine learning on mobile devices

Specialized training focusing on the implementation of machine learning models in Android applications using TensorFlow Lite. The program covers both the theoretical foundations of ML and the practical aspects of optimizing models for mobile devices. Participants work on real-world examples, learning how to integrate different types of ML models into mobile applications. The workshop is conducted in a hands-on format using the latest tools and techniques.

Issues

  • TensorFlow Lite architecture

  • Conversion and optimization of models

  • Real-time image processing

  • Speech and text recognition

  • Quantization and compression of models

  • Hardware acceleration

  • Transfer learning on the device

  • Federated learning

  • Custom operators

  • On-device training

  • Performance profiling

  • Safety of ML models

Benefits

  • Implementing ML models on mobile devices
  • To master optimization techniques for TensorFlow Lite models
  • Methods for effective integration of ML with Android applications
  • Advanced data processing techniques on the device
  • To acquire skills in profiling and optimizing the performance of ML models
  • Mobile AI

Who is this training for?

Android developers interested in ML
ML engineers working with mobile devices
Developers of applications using AI
Mobile solution architects with ML elements
Mobile application optimization specialists
R&D engineers in the area of mobile AI

Prerequisites

  • Knowledge of the basics of machine learning
  • Experience in Android programming
  • Python language basics
  • Knowledge of linear algebra

Training program

01

Architecture of the framework

  • Conversion of models
  • Optimization of models
  • Android integration
  • Implementation of ML models
02

Image processing

  • Speech recognition
03

Text analysis

  • Time prediction
  • Performance optimization
  • Quantization of models
  • Pruning and compression
04

Hardware acceleration

  • Performance profiling
  • Transfer learning
  • On-device training
05

Custom operators

  • Federated learning

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 Android - machine learning on mobile devices training for?

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

How long is the TensorFlow Lite for Android - 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.

Anna Polak
Anna Polak Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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Contact us - we'll prepare an offer tailored to your organization's needs.

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