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 Duration 14 hours

Course Outline

Foundations of On-Device AI with Nano Banana

  • Fundamental concepts of on-device inference
  • Overview of Nano Banana model architecture and features
  • Strategic considerations for mobile platform deployment

Configuring the Nano Banana Development Environment

  • Installation of Nano Banana SDK components
  • Setup of Android and iOS build configurations
  • Handling dependencies and version alignment

Executing Nano Banana Models on Mobile Hardware

  • Process for loading and running precompiled models
  • Navigating memory and computational limits on mobile devices
  • Tactics for achieving real-time inference

Creating AI Functionality with Nano Banana

  • Incorporating text generation capabilities
  • Developing image generation and modification workflows
  • Fusing multimodal data inputs within applications

Optimizing Performance and Conducting Benchmarks

  • Analyzing latency and throughput
  • Applying quantization, pruning, and compression methods
  • Refining thermal output, battery life, and resource consumption

Addressing Security and Privacy in On-Device AI

  • Managing local data and ensuring compliance
  • Safeguarding models and securing execution environments
  • Identifying risks and applying mitigation measures

Implementing Advanced Deployment Strategies

  • Designing hybrid workflows combining on-device and cloud resources
  • Oversight of offline-first AI application architectures
  • Preparing infrastructure for large-scale user adoption

Validation, Troubleshooting, and Ongoing Enhancement

  • Implementing CI/CD pipelines for AI-centric mobile apps
  • Performing unit, integration, and performance assessments
  • Managing iterative model updates and ensuring backward compatibility

Wrap-up and Future Directions

Requirements

  • Foundational knowledge of mobile application development
  • Proficiency in Python, Kotlin, or Swift
  • Working familiarity with machine learning principles

Intended Audience

  • Mobile software developers
  • AI engineers
  • Technical specialists 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

2026-11-30 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-14 09:30
14 hours
Ankara
29025 TRY (Online)
29425 TRY (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-28 09:30
14 hours
Antalya
29025 TRY (Online)
29425 TRY (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-11 09:30
14 hours
Istanbul, Taksim
29025 TRY (Online)
29425 TRY (Classroom)

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