Building On-Device AI Apps with Nano Banana Training Course

Google Antigravity serves as a specialized agentic development environment, engineered to create autonomous agents that leverage the multimodal prowess of Gemini 3 to plan, reason, code, and execute actions independently.

This professional, live-led training session—available either online or onsite—targets advanced technical professionals seeking to master the design, construction, and deployment of autonomous agents within the Antigravity ecosystem using Gemini 3.

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

• Construct autonomous workflows that harness Gemini 3 for sophisticated reasoning, strategic planning, and task execution.
• Engineer agents within Antigravity capable of analyzing complex tasks, generating code, and interacting seamlessly with various tools.
• Seamlessly integrate Gemini-powered agents into existing enterprise systems and API infrastructures.
• Enhance agent performance, safety protocols, and operational reliability within complex operational environments.

Course Structure

• Expert-led demonstrations interspersed with interactive peer discussions.
• Practical, hands-on experimentation focused on the lifecycle of autonomous agent development.
• Real-world implementation leveraging Antigravity, Gemini 3, and complementary cloud technologies.

Customization Possibilities

• Should your organization require specific domain-oriented agent behaviors or bespoke integrations, please reach out to tailor the curriculum to your exact needs.

Nano Banana is a lightweight AI framework designed to compress and accelerate models, enabling efficient execution on edge devices and directly on-device.

Offered as an instructor-led live session, either online or on-site, this training is tailored for professionals at an intermediate to advanced level seeking to optimize, compress, and deploy AI models in edge environments utilizing Nano Banana.

Upon completion of the program, participants will be equipped to:

• Implement compression and quantization strategies for AI models.
• Enhance inference performance specifically for edge hardware.
• Leverage Nano Banana's toolchain to convert and deploy models.
• Analyze the trade-offs between model accuracy, latency, and resource consumption.

Course Delivery Format

• Instructor-led technical deep-dives complemented by guided discussions.
• Practical exercises focused on real-world edge-AI scenarios.
• Hands-on implementation within a pre-configured live environment.

Customization Possibilities

• Contact us to discuss tailoring the content or adapting the course to your organization's specific needs.

Gemini 3 is a sophisticated multimodal AI platform engineered to facilitate deep reasoning, high-context processing, and extensive analytical workflows.

This instructor-led live training, available online or onsite, is tailored for advanced professionals seeking to utilize Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completing this course, participants will be empowered to:

• Utilize Deep-Think Mode to resolve complex, multi-layered challenges.
• Architect reasoning pipelines that feature long-context analysis.
• Refine prompts for iterative, multi-step reasoning processes.
• Incorporate Deep-Think capabilities into research or production environments.

Course Format

• Expert-driven presentations featuring real-world case studies.
• Practical reasoning labs and structured practical exercises.
• Applied development through live experimentation environments.

Customization Options

• Specific sessions or domain-focused deep-reasoning projects can be tailored upon request.

Gemini 3 is a multimodal AI model engineered to reason across text, images, and structured inputs, thereby supporting complex enterprise workflows.

This instructor-led, live training (delivered online or onsite) targets intermediate-level professionals aiming to construct reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.

Upon completing this course, participants will acquire the skills to:

• Leverage Gemini 3’s reasoning capabilities for enterprise planning and decision-making processes.
• Architect multimodal processes that integrate text, images, documents, and tabular data.
• Build business workflows utilizing AI Studio and Vertex AI tools.
• Enhance outputs via prompt engineering and iterative refinement techniques.

Course Format

• Guided demonstrations complemented by expert insights.
• Practical exercises centered on workflow design and multimodal tasks.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Customization Options

• If your organization requires specific workflow scenarios or data integration examples, please contact us to tailor the training.

Gemini 3 is an advanced AI-driven platform designed to elevate the capabilities of Google Search and boost efficiency in professional settings through its AI Mode.

This live, instructor-led course—available online or onsite—is tailored for introductory-level users looking to harness the power of Gemini 3 to optimize research, strategic planning, data analysis, and routine knowledge tasks.

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

• Utilize Gemini 3 in AI Mode to expedite research and uncover relevant information more efficiently.
• Implement Gemini-enhanced workflows to condense content and derive meaningful insights.
• Weave Gemini 3 features seamlessly into daily productivity routines.
• Embrace best practices for the responsible and dependable application of AI technologies.

Course Structure

• Guided presentations accompanied by live demonstrations.
• Organized practical exercises to build tangible skills.
• Application of concepts through real-world search and productivity scenarios.

Customization Availability

• To explore tailored training solutions that align with your specific workflows, please reach out to discuss customization options.

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

Upon completing this training, participants will be able to:

• Grasp 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.
• Construct basic AI-driven applications.
• Explore advanced features and customization options within Google Gemini AI.

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

Upon completing this training, participants will be capable of:

• Grasping the impact of AI on customer service.
• Configuring Google Gemini AI to automate and personalize customer interactions.
• Leveraging text-to-text and image-to-text transformations to enhance service efficiency.
• Developing AI-driven strategies for real-time customer feedback analysis.
• Exploring advanced features to create a seamless customer service experience.

This instructor-led, live training in France (online or onsite) is designed for beginner to intermediate 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:

• Grasp the fundamentals of Google Gemini AI.
• Connect diverse 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 is a state-of-the-art large language model that provides sophisticated AI capabilities, including natural language comprehension, text creation, and multimodal processing, empowering developers to construct intelligent and context-sensitive applications.

This instructor-led, live training (available online or onsite) targets beginner to intermediate developers who want to practically apply AI concepts using Google Gemini AI through hands-on projects, real-world examples, and collaborative exercises.

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

• Effectively set up and utilize Google Gemini AI and associated tools.
• Build AI-powered applications using text and image inputs.
• Utilize NotebookLM for practical AI workflows and document-based reasoning.
• Collaborate in small groups to design and deploy functional AI prototypes.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led live training in France (online or onsite) is designed for intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, support research, and improve productivity through more 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 to deliver high-efficiency, low-cost performance across diverse device ecosystems and enterprise landscapes.

This live, instructor-led training session, available online or in-person, is tailored for entry-level professionals seeking to master the deployment of lightweight LLMs for practical, on-device, and budget-conscious applications.

Upon completion of this course, participants will be equipped to:

• Articulate the foundational principles underlying lightweight LLMs and the Nano Banana architecture.
• Pinpoint suitable applications for on-device and cost-effective AI implementations.
• Assess the potential of Nano Banana within various business and IT contexts.
• Make strategic, well-informed choices regarding integration pathways within their organizations.

Course Structure

• Instructor-led explanations facilitated through interactive discussions.
• Practical exercises designed to solidify core concepts.
• Hands-on sessions exploring the specific capabilities of lightweight LLMs.

Customization Opportunities

• For a tailored training experience, please contact us to customize the program to your specific needs.

Gemini 3 is a sophisticated multimodal AI platform designed to process and reason across diverse data types, including images, video, audio, and text.

This instructor-led training, available online or on-site, is tailored for intermediate-level practitioners aiming to design and develop applications that leverage Gemini 3’s cross-modal intelligence.

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

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

Course Delivery Format

• Guided lectures accompanied by live demonstrations.
• Scenario-based exercises focusing on hands-on application.
• Practical implementation using live development environments.

Customization Opportunities

• For bespoke content or project-specific training requirements, please reach out to discuss tailored arrangements.

Nano Banana is a streamlined AI framework engineered to enable efficient model execution directly on Android devices.

This live, instructor-led training, available online or on-site, is tailored for Android developers ranging from beginners to intermediate level who aim to embed optimized AI capabilities into their mobile applications.

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

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

Course Structure

• Interactive presentations coupled with collaborative discussions.
• Practical coding exercises designed to solidify key concepts.
• Hands-on implementation using authentic Android scenarios.

Customization Availability

• Contact us to discuss bespoke versions of this course for tailored learning outcomes.

Nano Banana serves as an on-device AI framework engineered to execute models locally, ensuring rigorous privacy standards and adherence to regulatory requirements.

This instructor-led live session, available online or in-person, targets professionals from beginner to intermediate levels seeking to deploy privacy-preserving AI capabilities on mobile platforms via Nano Banana, particularly within regulated or sensitive operational contexts.

Upon completing this program, participants will be equipped to:

• Develop mobile applications capable of handling data privately directly on the device.
• Seamlessly integrate Nano Banana to facilitate compliant AI workflows.
• Implement privacy-enhancing mechanisms, including anonymization and secure data processing.
• Assess and mitigate privacy risks throughout the mobile AI development lifecycle.

Course Delivery Format

• Facilitated guidance enriched through interactive discussions and Q&A sessions.
• Practical exercises centered on privacy-centric mobile AI use cases.
• Direct, hands-on implementation within a realistic development environment.

Customization Opportunities

• For specific organizational requirements or sector-specific compliance nuances, please reach out to tailor this program to your needs.