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Course Outline
Introduction
- ML Kit vs TensorFlow vs other machine learning services
- Overview of ML Kit features and components
Getting Started
- Setting up the ML Kit SDK
- Exploring APIs and sample apps
Implementing ML Kit Vision APIs
- Automating data entry (Text Recognition)
- Detecting faces for selfies and portraits (Face Detection)
- Interpreting body positions (Pose Detection)
- Adding background effects (Selfie Segmentation)
- Integrating Barcode Scanning
- Identifying objects, places, species, etc. (Image Labeling)
- Locating prominent objects in an image (Object Detection and Tracking)
- Recognizing handwritten texts (Digital Ink Recognition)
Working with Natural Language APIs
- Identifying languages
- Translating texts
- Generating smart replies
- Using entity extraction
Optimizing Existing Apps with ML Kit
- Using custom models with ML Kit
- Migrating from Firebase to the new ML Kit SDK
- Migrating from Mobile Vision to ML Kit SDK
- Reducing app size for deployment
- Refactoring apps to use dynamic feature modules
Troubleshooting Tips
Summary and Next Steps
Requirements
- An understanding of machine learning
- Experience with mobile development
Audience
- Software Engineers
- Mobile App Developers
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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