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Duration 14 hours
Course Outline
Foundations of On-Device AI with Nano Banana
- Essential concepts of on-device inference.
- Overview of the Nano Banana model architecture and its features.
- Key considerations for deploying on mobile platforms.
Configuring Nano Banana and Development Environments
- Setting up Nano Banana SDK tools.
- Configuring build environments for Android and iOS.
- Handling dependencies and ensuring version compatibility.
Executing Nano Banana Models on Mobile Hardware
- Loading and running pre-constructed models.
- Navigating memory and computational limits on mobile devices.
- Strategies for achieving real-time inference.
Creating AI Features with Nano Banana
- Incorporating text generation capabilities.
- Developing workflows for image generation and editing.
- Fusing multimodal inputs within applications.
Enhancing Performance and Conducting Benchmarks
- Analyzing latency and throughput profiles.
- Applying quantization, pruning, and model compression methods.
- Optimizing for thermal management, battery life, and resource usage.
Ensuring Security and Privacy in On-Device AI
- Managing local data and adhering to compliance standards.
- Protecting models and ensuring secure execution.
- Identifying risks and implementing mitigation strategies.
Advanced Deployment Strategies
- Designing hybrid workflows combining on-device and cloud processing.
- Overseeing offline-first AI applications.
- Scaling solutions for extensive user bases.
Testing, Debugging, and Ongoing Refinement
- Implementing CI/CD pipelines for AI-enabled mobile apps.
- Conducting unit, integration, and performance tests.
- Managing iterative model updates and maintaining backward compatibility.
Conclusion and Future Directions
Requirements
- Solid knowledge of mobile application development principles.
- Proficiency in Python, Kotlin, or Swift.
- Working familiarity with core machine learning concepts.
Target Audience
- Mobile software developers.
- AI engineers.
- Technical professionals interested in on-device AI deployment.
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