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Course Outline

Introduction to On-Device AI with Nano Banana

  • Fundamental principles of on-device inference
  • Nano Banana model architecture and functional capabilities
  • Strategic deployment considerations for mobile platforms

Nano Banana Setup and Development Environment

  • Installation of Nano Banana SDK tools
  • Configuration of Android and iOS build environments
  • Management of dependencies and version compatibility

Running Nano Banana Models on Mobile Devices

  • Loading and executing pre-built models
  • Navigating memory and compute limitations on mobile hardware
  • Implementing strategies for real-time inference

Building AI Features with Nano Banana

  • Integration of text generation functionalities
  • Implementation of image generation and editing workflows
  • Combination of multimodal inputs within applications

Performance Optimization and Benchmarking

  • Profiling of latency and throughput
  • Application of quantization, pruning, and model compression techniques
  • Optimization of thermal, battery, and resource usage

Security and Privacy in On-Device AI

  • Handling of local data and compliance requirements
  • Model protection and secure execution practices
  • Identification of risks and mitigation strategies

Advanced Deployment Patterns

  • Design of hybrid on-device and cloud workflows
  • Management of offline-first AI applications
  • Scaling strategies for large user bases

Testing, Debugging, and Continuous Improvement

  • CI/CD implementation for AI-enabled mobile apps
  • Unit, integration, and performance testing procedures
  • Iterative model updates and ensuring backward compatibility

Summary and Next Steps

Requirements

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

Target Audience

  • Mobile developers
  • AI engineers
  • Technical specialists exploring the deployment of on-device AI
 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

2026-10-12 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-10-26 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-09 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-23 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-07 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-21 09:30
14 hours
Green Heart Complex
338 EUR (Online)
338 EUR (Classroom)

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