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 Duration 14 hours

Course Outline

Fundamentals of On-Device AI with Nano Banana

  • Essential concepts of on-device inference
  • Overview of Nano Banana architecture and its capabilities
  • Key factors in deploying to mobile platforms

Setting Up Nano Banana and the Development Environment

  • Installing the Nano Banana SDK toolkit
  • Setting up build environments for Android and iOS
  • Handling dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Hardware

  • Loading and running pre-configured models
  • Understanding memory and computational limits on mobile devices
  • Strategies for real-time inference

Developing AI Features with Nano Banana

  • Incorporating text generation features
  • Creating workflows for image generation and editing
  • Fusing multimodal inputs within applications

Performance Tuning and Benchmarking

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

Security and Privacy in On-Device AI

  • Local data processing and regulatory compliance
  • Safeguarding models and ensuring secure execution
  • Identifying risks and implementing mitigation tactics

Advanced Deployment Strategies

  • Designing hybrid on-device and cloud workflows
  • Managing offline-first AI application architectures
  • Scaling solutions for large user populations

Testing, Debugging, and Continuous Enhancement

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

Wrap-Up and Future Directions

Requirements

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

Target Audience

  • Mobile developers
  • AI engineers
  • Technical specialists investigating on-device AI deployment strategies

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

Provisional Upcoming Courses (Require 5+ participants)

Building On-Device AI Apps with Nano Banana

2026-12-01 09:30
14 hours
UPGen Le Meridien
203,240,236 VND (Online)
203,240,236 VND (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-15 09:30
14 hours
Hotel Nikko Hai Phong
203,240,236 VND (Online)
203,240,236 VND (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-29 09:30
14 hours
Mercure Hai Phong
203,240,236 VND (Online)
203,240,236 VND (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-12 09:30
14 hours
Pullman Hai Phong Grand Hotel
203,240,236 VND (Online)
203,240,236 VND (Classroom)

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