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Building On-Device AI Apps with Nano Banana Training Course

Building On-Device AI Apps with Nano Banana Training Course

Nano Banana is a specialized model engineered for rapid and efficient on-device AI execution.

This instructor-led, live training—available both online and onsite—is designed for intermediate-level professionals seeking to design and deploy AI-driven mobile applications using Nano Banana, eliminating the need for cloud infrastructure.

By the end of this program, participants will be equipped to:

Implement Nano Banana models directly onto mobile devices.
Enhance AI workloads to ensure optimal performance and energy efficiency.
Seamlessly integrate text and image generation capabilities into mobile applications.
Diagnose issues, benchmark performance, and refine on-device inference pipelines.

Course Format

Guided instructor demonstrations complemented by collaborative discussions.
Practical exercises centered on real-world application scenarios.
Live mobile environment development and rigorous testing sessions.

Customization Options

For a tailored curriculum, please reach out to discuss potential customization requirements.

This course is available as onsite live training in Greece or online live training.

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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
Key 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

Executing Nano Banana Models on Mobile Devices

Loading and running pre-built models
Addressing memory and compute constraints in mobile hardware
Strategies for real-time inference

Creating AI Features with Nano Banana

Integration of text generation functionalities
Implementation of image generation and editing workflows
Utilizing combined multimodal inputs in applications

Performance Optimization and Benchmarking

Profiling latency and throughput
Techniques for quantization, pruning, and model compression
Optimization of thermal management, battery life, and resource consumption

Security and Privacy in On-Device AI

Local data handling and regulatory compliance considerations
Model protection mechanisms and secure execution
Identification of risks and implementation of mitigation strategies

Advanced Deployment Patterns

Designing hybrid on-device and cloud workflows
Managing offline-first AI applications
Scaling solutions for large user bases

Testing, Debugging, and Continuous Improvement

Implementing CI/CD pipelines for AI-enabled mobile apps
Conducting unit, integration, and performance testing
Managing 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
Knowledge of fundamental machine learning concepts

Target Audience

Mobile developers
AI engineers
Technical professionals investigating on-device AI deployment

14 Hours

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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

2026-10-26 09:30

14 hours

Kaminia

608 EUR (Online)

1008 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-09 09:30

14 hours

Thessaloniki

608 EUR (Online)

608 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-23 09:30

14 hours

Nicosia

608 EUR (Online)

608 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-07 09:30

14 hours

Nicosia

608 EUR (Online)

1008 EUR (Classroom)

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Building On-Device AI Apps with Nano Banana Training Course

Course Outline

Requirements

Testimonials (1)

Lukasz Kowalczyk - Allegro Sp. z o.o.

Course - Google Gemini AI for Data Analysis

Upcoming Courses

Building On-Device AI Apps with Nano Banana

Building On-Device AI Apps with Nano Banana

Building On-Device AI Apps with Nano Banana

Building On-Device AI Apps with Nano Banana

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