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 Duration 14 hours

Course Outline

Introduction to On-Device AI with Nano Banana

  • Fundamental principles of on-device inference
  • Overview of Nano Banana model architecture and capabilities
  • Deployment strategies for mobile platforms

Nano Banana Setup and Development Environment

  • Installation of Nano Banana SDK tools
  • Configuration of Android and iOS build environments
  • Managing dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Devices

  • Loading and running pre-built models
  • Addressing memory and compute limitations in mobile hardware
  • Implementing real-time inference strategies

Developing AI Features with Nano Banana

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

Performance Optimization and Benchmarking

  • Profiling latency and throughput
  • Applying quantization, pruning, and model compression techniques
  • Optimizing thermal management, battery life, and resource usage

Security and Privacy in On-Device AI

  • Handling local data and compliance requirements
  • 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 pipelines for AI-enabled mobile apps
  • Conducting unit, integration, and performance testing
  • Managing iterative model updates and maintaining backward compatibility

Summary and Next Steps

Requirements

  • Foundational knowledge of mobile application development
  • Proficiency in Python, Kotlin, or Swift
  • Familiarity with core machine learning concepts

Target Audience

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

Number of participants


Price per participant

Open Training Courses require 5+ participants.

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

2026-11-17 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-01 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-15 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-29 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-12 09:30
14 hours
Empire Tower
63214 THB (Online)
63214 THB (Classroom)

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