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Course Outline

Introduction to On-Device AI with Nano Banana

  • Fundamental principles of on-device inference
  • Nano Banana model architecture and core capabilities
  • Considerations for deployment across mobile platforms

Nano Banana Setup and Development Environment

  • Installing Nano Banana SDK tools
  • Setting up Android and iOS build environments
  • Managing dependencies and ensuring version compatibility

Running Nano Banana Models on Mobile Devices

  • Loading and executing pre-built models
  • Addressing memory and compute constraints on mobile hardware
  • Strategies for real-time inference

Building AI Features with Nano Banana

  • Integrating text generation functionalities
  • Implementing workflows for image generation and editing
  • Combining multimodal inputs within applications

Performance Optimization and Benchmarking

  • Profiling latency and throughput
  • Techniques for quantization, pruning, and model compression
  • Optimizing thermal, battery, and resource usage

Security and Privacy in On-Device AI

  • Local data handling and compliance considerations
  • Model protection and secure execution practices
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Patterns

  • Hybrid workflows combining on-device and cloud processing
  • 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 backward compatibility

Summary and Next Steps

Requirements

  • A solid grasp of mobile application development
  • Proficiency in Python, Kotlin, or Swift
  • Knowledge of core machine learning concepts

Target Audience

  • Mobile developers
  • AI engineers
  • Technical professionals exploring on-device AI deployment
 14 Hours

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

Testimonials (1)

Flow , vibe and topic on presentation

Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis

Upcoming Courses

Building On-Device AI Apps with Nano Banana

2026-10-19 09:30
14 hours
Garden Court South Beach

Building On-Device AI Apps with Nano Banana

2026-11-02 09:30
14 hours
Sheraton Pretoria Hotel

Building On-Device AI Apps with Nano Banana

2026-11-16 09:30
14 hours
Pretoria - Brooklyn Bridge

Building On-Device AI Apps with Nano Banana

2026-11-30 09:30
14 hours
Cape Town - City Lodge Hotel Victoria and Alfred Waterfront

Building On-Device AI Apps with Nano Banana

2026-12-14 09:30
14 hours
Johannesburg - City Lodge Waterfall City

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