Training ML for mobile apps with Google ML Kit
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: AI
- TRAINING CODE: IT-AI-130
- DURATION: 2 days
- PRICE INFORMATION from: 2450 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
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.
Participant profile
- 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
Agenda
- ML Kit Basics
- Architecture and components
- Configuring the environment
- Integration with applications
- Performance optimization
- Image and text recognition
- OCR implementation
- Face detection and landmark
- Code scanning
- Object recognition
- Advanced features
- Motion tracking
- Natural language processing
- Real-time translation
- Gesture recognition
- Implementation and optimization
- Offline model management
- Battery optimization
- Debugging performance
- Testing the ML function
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.
Required preparation of participants
- Experience in mobile application development
- Basic knowledge of ML concepts
- Programming skills in Kotlin or Swift
- Knowledge of mobile design patterns
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
Do you have any questions?
Feel free to contact us.
Justyna Kalbarczyk
+48 516 098 221
justyna.kalbarczyk@eitt.pl
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.
Justyna Kalbarczyk
+48 516 098 221
justyna.kalbarczyk@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
- One-pager invitation with deadlines
- Project kick-off
- Strategic leadership and thinking
- Communication and Cooperation. Conflict management
- Motivating, engaging and difficult decisions in business
- Managing Change and Innovation. Leadership in crisis
- Building the organization of the future
- Best practices workshop - retrospective; creating a coherent program for middle and lower management levels























