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 Duration 14 hours

Course Outline

Foundations of On-Device AI with Nano Banana

  • Fundamental principles of local inference
  • Overview of Nano Banana model architecture and features
  • Key deployment considerations for mobile platforms

Environment Configuration and Nano Banana Setup

  • Installation of Nano Banana SDK components
  • Setting up Android and iOS build environments
  • Handling dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Hardware

  • Loading and running pre-built models
  • Navigating memory and compute limitations on mobile devices
  • Strategies for achieving real-time inference

Creating AI Features with Nano Banana

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

Optimizing Performance and Conducting Benchmarks

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

Security and Privacy in On-Device AI

  • Managing local data and compliance requirements
  • Ensuring model protection and secure execution
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Strategies

  • Designing hybrid workflows combining on-device and cloud processing
  • Managing offline-first AI application architectures
  • 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 tests
  • Managing iterative model updates and backward compatibility

Conclusion and Future Directions

Requirements

  • A solid grasp of mobile application development principles
  • Practical experience with Python, Kotlin, or Swift
  • Working familiarity with core machine learning concepts

Target Audience

  • Mobile developers
  • AI engineers
  • Technical professionals investigating on-device AI implementation

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

2026-11-27 09:30
14 hours
Còrdoba - Ecipsa Tower
5980 USD (Online)
6980 USD (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-11 09:30
14 hours
Puerto Madero - Torre Colonos Sur
5980 USD (Online)
6980 USD (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-25 09:30
14 hours
Buenos Aires - Laminar Catalinas
5980 USD (Online)
6980 USD (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-08 09:30
14 hours
Buenos Aires - Libertador
5980 USD (Online)
6980 USD (Classroom)

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