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 Duration 14 hours

Course Outline

Foundations of On-Device AI with Nano Banana

  • Fundamentals of local inference
  • Overview of Nano Banana’s architecture and features
  • Key factors for deployment on mobile platforms

Setting Up Nano Banana and the Development Workspace

  • Installing the Nano Banana SDK toolkit
  • Preparing 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
  • Navigating memory and processing limitations on mobile devices
  • Implementing strategies for real-time inference

Creating AI Capabilities with Nano Banana

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

Optimizing Performance and Conducting Benchmarks

  • Profile analysis for latency and throughput
  • Applying quantization, pruning, and compression methods
  • Improving thermal management, battery life, and resource utilization

Addressing Security and Privacy in On-Device AI

  • Managing local data and adhering to compliance standards
  • Securing models and execution environments
  • Identifying risks and applying mitigation techniques

Advanced Implementation Strategies

  • Designing hybrid workflows combining on-device and cloud elements
  • Managing offline-first AI experiences
  • Scaling solutions for extensive user bases

Testing, Debugging, and Ongoing Enhancement

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

Recap and Future Pathways

Requirements

  • A solid grasp of mobile application development practices
  • Proficiency in Python, Kotlin, or Swift
  • A working knowledge of fundamental machine learning principles

Target Audience

  • Mobile software developers
  • AI engineers
  • Technical professionals interested in 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

2026-11-16 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-30 09:30
14 hours
Kuala Lumpur KL Sentral
14441 MYR (Online)
15091 MYR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-14 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-28 09:30
14 hours
Kuala Lumpur KL Sentral
14441 MYR (Online)
15091 MYR (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-11 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

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