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Course Outline

Foundations of On-Device AI with Nano Banana

  • Essential principles of local inference
  • Overview of Nano Banana’s architecture and functional capabilities
  • Key deployment factors for mobile ecosystems

Setting Up Nano Banana and Development Environments

  • Installation of Nano Banana SDK utilities
  • Configuration of Android and iOS build setups
  • Handling dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Hardware

  • Processing and running pre-configured models
  • Navigating memory and computational limits on mobile devices
  • Strategies for achieving real-time inference

Creating AI Capabilities with Nano Banana

  • Embedding text generation features
  • Building workflows for image generation and editing
  • Utilizing multimodal inputs within applications

Enhancing Performance and Benchmarking

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

Ensuring Security and Privacy in On-Device AI

  • Managing local data handling and regulatory compliance
  • Safeguarding models and secure execution environments
  • Identifying risks and implementing mitigation tactics

Advanced Deployment Strategies

  • Designing hybrid on-device and cloud workflows
  • Overseeing offline-first AI application logic
  • Scaling solutions for extensive user bases

Testing, Debugging, and Continuous Refinement

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

Recap and Future Directions

Requirements

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

Target Audience

  • Mobile developers
  • AI engineers
  • Technical specialists interested in on-device AI integration
 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

2026-10-20 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-03 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-17 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-01 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-15 09:30
14 hours
Riga, Old Town
3000 EUR (Online)
3400 EUR (Classroom)

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