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Course Outline
Introduction to On-Device AI with Nano Banana
- Core principles of on-device inference.
- Nano Banana model architecture and capabilities.
- Deployment considerations for mobile platforms.
Nano Banana Setup and Development Environment
- Installing Nano Banana SDK tools.
- Configuring Android and iOS build environments.
- Managing dependencies and version compatibility.
Running Nano Banana Models on Mobile Devices
- Loading and executing prebuilt models.
- Understanding memory and compute constraints on mobile hardware.
- Implementing real-time inference strategies.
Building AI Features with Nano Banana
- Integrating text generation functionalities.
- Implementing image generation and editing workflows.
- Combining multimodal inputs within apps.
Performance Optimisation and Benchmarking
- Profiling latency and throughput.
- Applying quantization, pruning, and model compression techniques.
- Optimising thermal, battery, and resource usage.
Security and Privacy in On-Device AI
- Local data handling and compliance considerations.
- Ensuring model protection and secure execution.
- Identifying risks and implementing mitigation strategies.
Advanced Deployment Patterns
- Designing hybrid on-device and cloud workflows.
- Managing offline-first AI applications.
- Scaling solutions for large user bases.
Testing, Debugging, and Continuous Improvement
- Implementing CI/CD for AI-enabled mobile apps.
- Conducting unit, integration, and performance testing.
- Managing iterative model updates and maintaining backward compatibility.
Summary and Next Steps
Requirements
- A solid understanding of mobile application development.
- Experience with Python, Kotlin, or Swift.
- Familiarity with core machine learning concepts.
Audience
- Mobile developers.
- AI engineers.
- Technical professionals exploring on-device AI deployment.
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 2600 € + VAT*
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