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Duration 14 hours
Course Outline
Introduction to Nano Banana
- An overview of the framework and its core capabilities
- Analyzing the architecture and processing pipeline
- Positioning Nano Banana against other on-device AI solutions
Configuring the Development Environment
- Preparing Android Studio for AI-intensive workloads
- Incorporating the Nano Banana SDK into projects
- Managing project settings and dependencies
Utilising Nano Banana APIs
- Investigating essential API methods
- Loading and managing lightweight models
- Performing real-time inference tasks
Optimising AI Performance on Android
- Strategies for achieving low-latency inference
- Techniques for effective memory and resource management
- Benchmarking methods and optimisation tooling
Crafting AI-Driven User Experiences
- Developing responsive UI interactions
- Managing asynchronous tasks and callbacks
- Aligning AI behaviours with Android UX standards
Security and Privacy in On-Device AI
- Ensuring the secure handling of user data
- Implementing privacy-preserving inference techniques
- Addressing compliance requirements for enterprise deployments
Deploying and Maintaining AI Features
- Packaging and publishing applications with embedded AI
- Versioning and updating local models
- Monitoring and enhancing performance post-deployment
Advanced Use Cases and Integrations
- Integrating 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 development fundamentals
- Proficiency in either Kotlin or Java
- Foundational knowledge of mobile app debugging processes
Target Audience
- Android developers creating AI-enhanced applications
- Software engineers investigating on-device machine learning workflows
- Technical teams assessing lightweight AI deployment strategies on Android
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 2600 € + VAT*
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