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 Duration 14 hours

Course Outline

Foundations of On-Device AI Using Nano Banana

  • Fundamentals of local inference processing
  • Structure and features of the Nano Banana model
  • Key considerations for releasing on mobile platforms

Setting Up Nano Banana and the Development Environment

  • Installing the Nano Banana SDK toolset
  • Setting up Android and iOS build configurations
  • Managing project dependencies and version alignment

Executing Nano Banana Models on Mobile Hardware

  • Loading and running pre-configured models
  • Addressing memory and processing limits on mobile devices
  • Strategies for real-time inference execution

Creating AI Capabilities with Nano Banana

  • Embedding text generation functions
  • Building workflows for image creation and modification
  • Merging multimodal data inputs within applications

Performance Tuning and Performance Assessment

  • Analysing response time and data throughput
  • Applying quantisation, pruning, and compression methods
  • Optimising for heat, battery life, and system resource usage

Security and Data Privacy in Local AI

  • Handling local data and ensuring regulatory compliance
  • Safeguarding models and ensuring secure execution
  • Identifying risks and implementing protective measures

Advanced Release Strategies

  • Combining local and cloud-based workflows
  • Managing applications designed for offline-first use
  • Preparing for large-scale user adoption

Testing, Troubleshooting, and Continuous Refinement

  • CI/CD pipelines for AI-enabled mobile apps
  • Conducting unit, integration, and performance checks
  • Managing iterative model updates and ensuring backward compatibility

Conclusion and Future Directions

Requirements

  • Proficiency in mobile application creation
  • Practical experience with Python, Kotlin, or Swift
  • Working knowledge of machine learning fundamentals

Target Participants

  • Mobile application developers
  • AI specialists
  • Technical experts investigating local AI deployment strategies

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

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