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Technologies / Artificial Intelligence

ML for mobile apps with Google ML Kit

The training introduces participants to the world of implementing machine learning in mobile apps using Google ML Kit. The program includes a hands-on workshop on creating AI functions in Android and iOS apps, from text recognition to image analysis. The class combines theoretical sessions with intensive hands-on exercises, allowing participants to create advanced ML functions in mobile apps on their own.

Issues

  • ML Kit Architecture

  • Text recognition

  • Face detection

  • Object tracking

  • Language processing

  • Offline translation

  • Performance optimization

  • Model management

  • ML debugging

  • Testing AI functions

  • UX for ML functions

  • Data security

Benefits

  • The participant will gain the practical knowledge necessary to implement ML functions in mobile applications
  • Will learn how to effectively use Google ML Kit tools to create intelligent functions in applications
  • Will develop the ability to integrate advanced AI functions into existing mobile applications
  • Will learn methods to optimize performance and battery consumption in the context of ML on mobile devices
  • Will be able to implement real-time image and text recognition
  • Will gain the ability to develop multilingual applications using ML Kit
  • Will master techniques for debugging and testing ML functions in a mobile environment
  • Will gain knowledge of best practices in UX design for AI functions

Who is this training for?

Android and iOS mobile application developers
ML developers interested in mobile deployments
Mobile software engineers
Architects of mobile solutions
UX/UI specialists working with AI features
Full-Stack developers with a focus on mobile
Mobile team leaders
Mobile innovation specialists

Prerequisites

  • Experience in mobile application development
  • Basic knowledge of ML concepts
  • Programming skills in Kotlin or Swift
  • Knowledge of mobile design patterns

Training program

01

Architecture and components

  • Configuring the environment
  • Integration with applications
  • Performance optimization
  • Image and text recognition
02

OCR implementation

  • Face detection and landmark
03

Code scanning

  • Object recognition
04

Advanced features

  • Motion tracking
  • Natural language processing
  • Real-time translation
05

Gesture recognition

  • Implementation and optimization
  • Offline model management
  • Battery optimization
  • Debugging performance
  • Testing the ML function

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

What are the prerequisites for this training?

For ML for mobile apps with Google ML Kit we recommend: Experience in mobile application development; Basic knowledge of ML concepts; Programming skills in Kotlin or Swift.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Android and iOS mobile application developers; ML developers interested in mobile deployments; Mobile software engineers.

Patrycja Petkowska
Patrycja Petkowska 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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We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

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