Building On-Device AI Apps with Nano Banana Training Course

Google Antigravity serves as an agentic development environment, engineered to create autonomous agents that plan, reason, code, and execute actions by leveraging the multimodal capabilities of Gemini 3.

Delivered as an instructor-led live session (either online or onsite), this training is tailored for advanced technical professionals seeking to design, build, and deploy autonomous agents within the Antigravity environment using Gemini 3.

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

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity capable of task analysis, code generation, and tool interaction.
• Integrate Gemini-powered agents with enterprise systems and external APIs.
• Enhance agent behavior, safety, and reliability within complex operational environments.

Course Format

• Expert-led demonstrations paired with interactive discussions.
• Hands-on practical experience in autonomous agent development.
• Practical implementation leveraging Antigravity, Gemini 3, and associated cloud tools.

Customization Options

• For teams requiring specific domain-driven agent behaviors or bespoke integrations, please reach out to us to tailor the program to your needs.

Nano Banana is a lightweight AI framework engineered to compress and accelerate models, enabling efficient execution on devices and edge infrastructure.

This live, instructor-led training program—available online or on-site—is tailored for intermediate to advanced professionals seeking to optimize, compress, and deploy AI models in edge environments using Nano Banana.

Upon completing this course, participants will be equipped to:

• Implement quantization and compression techniques for AI models.
• Enhance inference speed specifically for edge devices.
• Utilize the Nano Banana toolchain for model conversion and deployment.
• Assess the balance between model accuracy, latency, and resource consumption.

Course Structure

• Interactive technical sessions combined with guided discussions.
• Practical exercises based on real-world edge-AI use cases.
• Hands-on implementation within a pre-configured live environment.

Customization Options

• Contact us to discuss tailoring the content or adapting the course to specific organizational needs.

Gemini 3 is a sophisticated multimodal AI platform engineered to facilitate deep reasoning, handle high-context requirements, and manage extensive analytical processes.

This instructor-led live training, available both online and on-site, is tailored for advanced professionals aiming to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completion, participants will be able to:

• Utilize Deep-Think Mode to address intricate, multi-dimensional challenges.
• Develop reasoning pipelines that leverage long-context analysis.
• Refine prompts for iterative, multi-stage reasoning tasks.
• Incorporate Deep-Think capabilities into research or production environments.

Course Format

• Expert-led sessions featuring real-world examples.
• Practical reasoning laboratories and structured practice exercises.
• Applied development through live experimentation setups.

Customization Possibilities

• Tailored sessions or domain-specific deep-reasoning projects can be arranged upon request.

Gemini 3 is a sophisticated multimodal AI model engineered to process and reason across text, images, and structured data, thereby facilitating complex enterprise operations.

Delivered as a live, instructor-led training session (available online or on-site), this course is tailored for intermediate-level professionals seeking to implement reasoning-focused and multimodal workflows using Gemini 3 in corporate settings.

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

• Leveraging Gemini 3’s reasoning engine to enhance enterprise planning and decision-making processes.
• Architecting multimodal workflows that seamlessly integrate text, visuals, documents, and tabular data.
• Constructing robust business workflows utilizing the AI Studio and Vertex AI toolsets.
• Refining model outputs through advanced prompt engineering and iterative optimization techniques.

Course Delivery Structure

• Expert-guided demonstrations complemented by detailed technical explanations.
• Practical exercises emphasizing workflow architecture and multimodal task execution.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Tailored Course Options

• For organizations requiring specific workflow scenarios or data integration case studies, please reach out to customize the training experience.

Gemini 3 is an intelligent AI framework designed to elevate Google Search experiences and enhance workplace efficiency via AI Mode.

This instructor-led, live session (available online or on-site) targets beginner-level users looking to harness Gemini 3 for optimizing research, strategic planning, data analysis, and routine knowledge tasks.

By the end of this training, participants will have developed the competencies to:

• Leverage Gemini 3 in AI Mode to fast-track research and information retrieval.
• Implement Gemini-supported workflows for content summarization and insight extraction.
• Seamlessly incorporate Gemini 3 capabilities into daily productivity routines.
• Implement best practices for the responsible and dependable utilization of AI tools.

Course Structure

• Instructor-led presentations and live demonstrations.
• Hands-on practical exercises to solidify skill development.
• Application of concepts through live search and productivity scenarios.

Customization Opportunities

• Seeking tailored training aligned with your specific workflows? Reach out to discuss customization possibilities.

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

Upon completion of this training, participants will be able to:

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

This instructor-led live training, offered the Netherlands (online or onsite), is tailored for intermediate-level content creators seeking to enhance their output quality and efficiency using Google Gemini AI.

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 the Netherlands (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 the Netherlands (online or onsite) is designed for beginner to intermediate-level data analysts and business professionals who want 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 basics of Google Gemini AI.
• Connect different 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 that provides sophisticated AI functionalities, including natural language comprehension, text creation, and multimodal processing. These capabilities empower developers to construct intelligent applications that are context-aware.

This instructor-led training session, available either online or on-site, is designed for developers at beginner to intermediate levels who want to gain practical experience with AI concepts using Google Gemini AI. The course emphasizes learning through hands-on projects, real-world case studies, and collaborative exercises.

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

• Effectively setting up and utilizing Google Gemini AI along with its associated tools.
• Creating AI-powered applications that process both text and image inputs.
• Utilizing NotebookLM for practical AI workflows and document-based reasoning tasks.
• Working 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 the Course

• For organizations seeking tailored training, please contact us to make arrangements.

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

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

• Craft more effective and customized 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 lightweight large language model framework engineered for efficient, cost-effective, and real-world use across various devices and enterprise settings.

This live, instructor-led training session, available both online and onsite, is tailored for entry-level professionals seeking to understand how lightweight LLMs can be implemented for practical, on-device, and budget-conscious applications.

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

• Articulate the fundamental concepts underlying lightweight LLMs and Nano Banana.
• Recognize suitable use cases for on-device and low-cost AI deployment.
• Assess Nano Banana’s potential in business and IT contexts.
• Make well-informed decisions regarding integration strategies within their organization.

Course Delivery Format

• Instructor-led explanations enhanced through interactive dialogue.
• Practical exercises designed to solidify core concepts.
• Hands-on exploration of the capabilities of lightweight LLMs.

Course Customization Opportunities

• To obtain a tailored version of this training, please reach out to us for program customization.

Gemini 3 serves as a versatile multimodal AI platform designed to process and reason across images, video, audio, and text.​

This instructor-led, live training session—available online or onsite—is tailored for intermediate-level professionals looking to leverage Gemini 3’s cross-modal intelligence in designing and building applications.​

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

• Seamlessly integrate Gemini 3 multimodal endpoints into practical, real-world workflows.​
• Handle and interpret visual, audio, video, and text inputs within unified processing pipelines.​
• Develop interactive prototypes leveraging advanced multimodal prompting techniques.​
• Refine multimodal outputs to enhance performance, accuracy, and overall usability.​

Course Delivery Format

• Guided lectures accompanied by practical demonstrations.​
• Scenario-based exercises focused on hands-on application.​
• Direct implementation within live development environments.​

Customization Options

• For tailored content or custom project-based training, please get in touch with us to discuss arrangements.​

Nano Banana is a streamlined AI framework engineered for high-efficiency, on-device model execution on the Android platform.

This live, instructor-led training—available online or onsite—is tailored for beginner to intermediate Android developers looking to embed optimized AI capabilities directly into their mobile applications.

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

• Integrate the Nano Banana SDK within Android Studio projects.
• Utilize Nano Banana APIs to execute real-time AI inference.
• Enhance model performance within the constraints of mobile environments.
• Adopt best practices for secure, privacy-centric on-device AI implementation.

Course Delivery

• Interactive presentations combined with collaborative discussions.
• Practical coding tasks designed to solidify core concepts.
• Practical implementation using real-world Android scenarios.

Customization

• Contact us to arrange a tailored version of this course.

Nano Banana serves as an on-device AI framework engineered to execute models locally while adhering to strict privacy standards and regulatory requirements.

This live, instructor-led training, available online or on-site, is tailored for professionals with beginner to intermediate experience who aim to integrate privacy-preserving AI capabilities into mobile applications. It is particularly suited for those working in regulated or sensitive environments using Nano Banana.

Upon completion of this course, participants will possess the ability to:

• Develop mobile applications that securely process data on the device itself.
• Incorporate Nano Banana to establish AI workflows that meet compliance standards.
• Utilize privacy-enhancing methods, including anonymization and secure processing.
• Assess and address potential privacy risks throughout the mobile AI development lifecycle.

Course Structure

• Facilitated learning through guided instruction, discussions, and Q&A sessions.
• Practical exercises focused on privacy-centric mobile AI scenarios.
• Hands-on implementation tasks performed within a live development environment.

Customization Possibilities

• To tailor this program to specific organizational requirements or sector-specific compliance issues, please reach out to us.