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 Duration 14 hours

Course Outline

Foundations of On-Device AI with Nano Banana

  • Key principles of on-device inference
  • Nano Banana model architecture and features
  • Deployment strategies for mobile platforms

Setting Up Nano Banana and the Development Environment

  • Installing Nano Banana SDK tools
  • Configuring Android and iOS build settings
  • Managing dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Devices

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

Creating AI Features with Nano Banana

  • Incorporating text generation capabilities
  • Establishing image generation and editing workflows
  • Merging multimodal inputs within applications

Optimizing Performance and Conducting Benchmarks

  • Profiling latency and throughput
  • Applying quantization, pruning, and model compression methods
  • Optimizing thermal, battery, and resource consumption

Security and Privacy in On-Device AI

  • Managing local data handling and regulatory compliance
  • Securing models and execution environments
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Strategies

  • Designing hybrid on-device and cloud workflows
  • Overseeing offline-first AI applications
  • Scaling solutions for large user bases

Testing, Debugging, and Continuous Enhancement

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

Summary and Recommended Next Steps

Requirements

  • Fundamental understanding of mobile application development
  • Proficiency in Python, Kotlin, or Swift
  • Working knowledge of machine learning principles

Target Audience

  • Mobile developers
  • AI engineers
  • Technical professionals investigating 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

2026-11-25 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-09 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-23 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-06 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

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