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Duration 14 hours
Course Outline
Introduction to Nano Banana
- An overview of the framework's core capabilities
- Gaining insight into the architecture and processing pipeline
- Comparing Nano Banana against other on-device AI solutions
Setting Up the Development Environment
- Configuring Android Studio to handle AI workloads
- Integrating the Nano Banana SDK into your project
- Managing project configurations and dependencies
Working with Nano Banana APIs
- Exploring the primary API methods
- Loading and managing lightweight models
- Executing inference tasks in real-time scenarios
Optimizing AI Performance on Android
- Strategies for achieving low-latency inference
- Techniques for effective memory and resource management
- Benchmarking methods and optimization tooling
Designing AI-Driven User Experiences
- Implementing responsive UI interactions
- Managing asynchronous tasks and callbacks
- Aligning AI behaviors with Android UX guidelines
Security and Privacy in On-Device AI
- Ensuring the secure handling of user data
- Methods for privacy-preserving inference
- Compliance considerations for enterprise deployments
Deploying and Maintaining AI Features
- Packaging and publishing applications with embedded AI
- Versioning and updating local models
- Monitoring and enhancing performance after deployment
Advanced Use Cases and Integrations
- Combining Nano Banana with existing Android ML tools
- Implementing multimodal AI features
- Extending applications using custom lightweight models
Summary and Next Steps
Requirements
- A solid grasp of Android application fundamentals
- Practical experience with either Kotlin or Java
- Basic knowledge of mobile app debugging processes
Target Audience
- Android developers focused on creating AI-enhanced applications
- Software engineers investigating on-device machine learning workflows
- Technical teams assessing the deployment of lightweight AI on Android platforms
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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