Privacy-Preserving AI on Mobile Devices with Nano Banana Training Course

Google Antigravity functions as a specialized agentic development environment, empowering users to construct autonomous agents that leverage the multimodal strengths of Gemini 3 to plan, reason, code, and execute actions independently.

Delivered as an instructor-led live session—available either online or onsite—this training is tailored for advanced technical professionals seeking to design, develop, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that harness Gemini 3 for sophisticated reasoning, strategic planning, and task execution.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and interacting seamlessly with various tools.
• Integrate Gemini-powered agents into enterprise infrastructure and API frameworks.
• Refine agent behavior to ensure safety and reliability within complex operational environments.

Course Delivery Format

• Expert-led demonstrations paired with interactive discussion sessions.
• Hands-on experimentation focused on the development of autonomous agents.
• Practical implementation exercises utilizing Antigravity, Gemini 3, and complementary cloud-based tools.

Customization Options

• Should your organization require domain-specific agent behaviors or bespoke integrations, please reach out to customize the program to your needs.

Nano Banana is a purpose-built model designed to deliver rapid and highly efficient AI execution directly on the device.

This live, instructor-led training program, available either online or on-site, is tailored for intermediate-level practitioners seeking to build and deploy AI-driven mobile applications using Nano Banana, entirely independent of cloud infrastructure.

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

• Deploy Nano Banana models natively on mobile devices.
• Enhance AI workloads for superior performance and energy efficiency.
• Embed text and image generation capabilities into mobile applications.
• Diagnose, benchmark, and optimize on-device inference pipelines.

Course Format

• Instructor-led demonstrations complemented by interactive discussions.
• Practical exercises centered on real-world application scenarios.
• Hands-on development and testing within a live mobile environment.

Customization Options

• For a customized version of this course that better fits your specific needs, please reach out to us to explore available options.

Nano Banana serves as a streamlined AI framework engineered to optimize model speed and size, facilitating effective deployment on local devices and edge infrastructure.

This live, instructor-guided training—available both online and on-site—is tailored for intermediate to advanced professionals seeking to refine, compress, and implement AI models within edge contexts using Nano Banana.

Upon completing the program, participants will be equipped to:

• Implement compression and quantization methods for AI models.
• Enhance inference speeds specifically for edge hardware.
• Utilize Nano Banana’s toolchain to transform and deploy models.
• Analyze the balance between precision, response time, and resource consumption.

Course Format

• Technical sessions led by an instructor, complemented by facilitated discussions.
• Practical exercises grounded in real-world edge AI applications.
• Direct implementation within a prepared live environment.

Customization Options

• Contact us to discuss tailored content or specific organizational adaptations for a personalized course experience.

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, handle high-context tasks, and support extensive analytical workflows.

This instructor-led, live training session—available online or onsite—targets advanced professionals looking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completion, participants will be prepared to:

• Utilize Deep-Think Mode to address complex, multi-faceted challenges.
• Create reasoning pipelines that integrate long-context analysis.
• Refine prompts for iterative, multi-step reasoning processes.
• Incorporate Deep-Think capabilities into research or production environments.

Course Format

• Expert-led presentations featuring practical examples.
• Hands-on reasoning labs and structured practice sessions.
• Applied development through live experimentation environments.

Customization Options

• Custom sessions or domain-specific deep-reasoning projects are available upon request.

Gemini 3 is a sophisticated multimodal AI model engineered to process and reason across text, visual, and structured data, thereby enabling the execution of complex enterprise operations.

This live, instructor-led training session, available either online or on-site, is tailored for intermediate-level professionals seeking to construct reasoning-based and multimodal workflows within their enterprise ecosystems using Gemini 3.

Upon completion of this course, participants will be equipped with the following competencies:

• Leverage the reasoning capabilities of Gemini 3 to enhance enterprise planning and decision-making processes.
• Architect multimodal workflows that seamlessly integrate text, images, documents, and tabular data.
• Build robust business workflows utilizing the AI Studio and Vertex AI platforms.
• Refine model outputs through strategic prompt engineering and iterative optimization techniques.

Training Methodology

• Expert-led demonstrations accompanied by detailed conceptual explanations.
• Practical exercises designed to focus on workflow architecture and multimodal task handling.
• Hands-on exploration within AI Studio or Vertex AI environments.

Customization Capabilities

• Should your organization require specific workflow scenarios or data integration examples, please reach out to us to tailor the training content to your needs.

Gemini 3 is an AI-driven system designed to elevate Google Search and enhance workplace efficiency via AI Mode.

This live, instructor-led training, available both online and on-site, is tailored for beginners seeking to utilize Gemini 3 to optimize research, planning, analysis, and routine knowledge work.

During this program, attendees will develop the necessary skills to:

• Leverage Gemini 3’s AI Mode to speed up research and information discovery.
• Implement Gemini-assisted workflows to condense content and derive key insights.
• Incorporate Gemini 3 features into daily productivity tasks.
• Embrace best practices for the responsible and dependable use of AI tools.

Course Format

• Guided presentations and live demonstrations by the instructor.
• Structured hands-on exercises designed for practical skill development.
• Real-world applications utilizing live search and productivity scenarios.

Customization Options

• For training tailored to your specific workflows, please reach out to discuss available customization options.

This instructor-led, live training in Taiwan (online or onsite) is designed for beginner to intermediate developers who want to integrate AI functionalities into their applications using Google Gemini AI.

By the end of this training, participants will be able to:

• Understand the fundamentals of large language models.
• Set up and utilize Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Build basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level content creators who wish to utilize Google Gemini AI to enhance their content quality and efficiency.

By the end of this training, participants will be able to:

• Understand the role of AI in content creation.
• Set up and use Google Gemini AI to generate and optimize content.
• Apply text-to-text transformations to produce creative and original content.
• Implement SEO strategies using AI-driven insights.
• Analyze content performance and adapt strategies using Gemini AI.

This instructor-led, live training in Taiwan (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.

By the end of this training, participants will be able to:

• Understand the impact of AI on customer service.
• Set up Google Gemini AI to automate and personalize customer interactions.
• Utilize text-to-text and image-to-text transformations to improve service efficiency.
• Develop AI-driven strategies for real-time customer feedback analysis.
• Explore advanced features to create a seamless customer service experience.

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

By the end of this training, participants will be able to:

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

Google Gemini AI represents a state-of-the-art large language model, delivering advanced artificial intelligence capabilities such as natural language comprehension, text generation, and multimodal processing. These features empower developers to create intelligent, context-aware applications.

This instructor-led live training, available either online or onsite, is designed for beginner to intermediate-level developers eager to apply AI concepts practically. The curriculum emphasizes hands-on projects, real-world examples, and collaborative exercises using Google Gemini AI.

Upon completion of this training, participants will be capable of:

• Effectively setting up and utilizing Google Gemini AI alongside related tools.
• Creating AI-driven applications that process both text and image inputs.
• Utilizing NotebookLM to enhance practical AI workflows and document-based reasoning.
• Collaborating within small groups to design and deploy functional AI prototypes.

Course Format

• Interactive lectures combined with guided discussions.
• Hands-on lab exercises and collaborative project work.
• Practical assignments involving Google Gemini AI and NotebookLM.

Customization Options

• For customized training arrangements for this course, please contact us to discuss your needs.

This instructor-led live training in Taiwan (online or onsite) is designed for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, assist with research, and improve productivity through advanced AI interactions.

By the end of this training, participants will be able to:

• Craft more effective and tailored prompts for specific use cases.
• Generate original and creative content using Gemini.
• Summarize and compare complex information with precision.
• Use Gemini for brainstorming, planning, and organizing ideas efficiently.

Nano Banana is a streamlined large language model framework engineered for high efficiency, low cost, and practical deployment across both personal devices and enterprise settings.

This live, instructor-led training—available online or on-site—is tailored for beginners aiming to grasp how lightweight LLMs can be implemented for practical, on-device, and cost-effective applications.

Upon completing this course, participants will be able to:

• Describe the fundamental principles of lightweight LLMs and the Nano Banana architecture.
• Recognize suitable scenarios for deploying AI on devices with limited resources or at low cost.
• Assess the potential of Nano Banana within various business and IT contexts.
• Make well-informed choices regarding integration strategies within their organization.

Course Delivery

• Instructor-led explanations enriched by interactive discussions.
• Practical exercises designed to solidify key concepts.
• Hands-on investigation of the capabilities inherent in lightweight LLMs.

Customization Opportunities

• For a version of this training tailored to specific needs, please contact us to discuss customizing the program.

Gemini 3 serves as a powerful multimodal AI platform, enabling sophisticated processing and reasoning across images, video, audio, and text.

Designed for intermediate-level practitioners, this instructor-led live training—available online or onsite—focuses on designing and building applications that leverage Gemini 3’s cross-modal intelligence.

Upon completing this workshop, participants will be equipped to:

• Seamlessly integrate Gemini 3 multimodal endpoints into practical, real-world workflows.
• Manage and interpret visual, audio, video, and text inputs within unified pipelines.
• Develop interactive prototypes utilizing advanced multimodal prompting techniques.
• Refine multimodal outputs to enhance performance, accuracy, and user experience.

Course Format

• Guided lectures complemented by live demonstrations.
• Scenario-based exercises featuring extensive hands-on practice.
• Practical implementation sessions conducted in live development environments.

Customization Options

• For tailored content or project-specific training requirements, please reach out to us to arrange a custom solution.

Nano Banana serves as a streamlined AI framework specifically engineered for efficient on-device model execution within the Android ecosystem.

Delivered as an instructor-led, live session—available either online or onsite—this program is tailored for Android developers ranging from beginner to intermediate levels who are eager to embed optimized AI capabilities directly into their mobile applications.

Upon completing this training, participants will be equipped to:

• Integrate the Nano Banana SDK into Android Studio projects.
• Execute real-time AI inference leveraging Nano Banana APIs.
• Tune model performance for resource-constrained mobile environments.
• Adopt best practices for secure, privacy-focused on-device AI implementation.

Course Format

• Interactive presentations accompanied by collaborative discussions.
• Practical coding exercises designed to reinforce core concepts.
• Hands-on implementations utilizing real-world Android scenarios.

Customization Options

• To explore tailored versions of this course, please contact us to arrange a customized learning path.