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Course Outline

Introduction to On-Device AI using Nano Banana

  • Foundational concepts of on-device inference
  • Nano Banana model architecture and feature set
  • Key deployment factors for mobile platforms

Setting Up Nano Banana and the Development Environment

  • Installing Nano Banana SDK tools
  • Configuring build environments for Android and iOS
  • Handling dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Devices

  • Loading and running pre-compiled models
  • Navigating memory and computational limits of mobile hardware
  • Strategies for achieving real-time inference

Developing AI Features with Nano Banana

  • Incorporating text generation capabilities
  • Creating workflows for image generation and editing
  • Processing combined multimodal inputs within applications

Optimizing Performance and Benchmarking

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

Security and Privacy in On-Device AI

  • Managing local data and ensuring compliance
  • Safeguarding models and ensuring secure execution
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Strategies

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

Testing, Debugging, and Continuous Refinement

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

Conclusion and Future Directions

Requirements

  • A foundational grasp of mobile application development
  • Proficiency in Python, Kotlin, or Swift
  • Working knowledge of machine learning principles

Target Audience

  • Mobile application developers
  • AI engineers
  • Technical professionals exploring on-device AI implementation
 14 Hours

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

2026-10-30 09:30
14 hours
Tamil Nadu, OMR, Chennai - Classroom
168,661 INR (Online)
178,661 INR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-13 09:30
14 hours
Kerela, Kochi - Classroom
168,661 INR (Online)
182,661 INR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-27 09:30
14 hours
Bangalore, UB City - Classroom
168,661 INR (Online)
198,661 INR (Classroom)

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