Building On-Device AI Apps with Nano Banana Training Course

Google Antigravity serves as an agentic development environment engineered to create autonomous agents that leverage Gemini 3's multimodal strengths for planning, reasoning, coding, and action.

This instructor-led live training, available online or on-site, is tailored for advanced technical professionals seeking to design, construct, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

Upon completing this program, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, strategic planning, and execution.
• Develop agents in Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and external APIs.
• Enhance agent behavior, safety protocols, and reliability within complex operational environments.

Course Format

• Combines expert-led demonstrations with interactive discussions.
• Features hands-on experimentation in autonomous agent development.
• Includes practical implementation using Antigravity, Gemini 3, and associated cloud tools.

Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, contact us to tailor the program to your specific needs.

Nano Banana serves as a lightweight AI framework engineered to streamline model compression and accelerate performance, ensuring efficient execution in on-device and edge environments.

This instructor-led, live training course is delivered either online or on-site and is tailored for intermediate to advanced professionals seeking to master the optimization, compression, and deployment of AI models within edge settings using Nano Banana.

Upon completion, participants will be equipped to:

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

Course Format

• Interactive technical sessions facilitated by instructors 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 tailored content or organization-specific adaptations for a bespoke course version.

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, manage high-context operations, and execute long-form analytical processes.

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

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

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

Course Structure

• Presentations led by experts, featuring practical examples.
• Practical reasoning labs and organized exercises.
• Applied development through live experimental setups.

Customization Possibilities

• Upon request, bespoke sessions or domain-specific deep-reasoning projects can be organized.

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 session—either online or on-site—this course is tailored for intermediate-level professionals looking to develop reasoning-centric and multimodal workflows using Gemini 3 in an enterprise setting.

Upon completion, participants will be equipped with the capabilities to:

• Leverage Gemini 3’s advanced reasoning features to streamline enterprise planning and decision-making processes.
• Architect multimodal workflows that seamlessly integrate text, images, documents, and tabular data.
• Construct business-oriented workflows utilizing AI Studio and Vertex AI platforms.
• Refine and optimize model outputs through strategic prompt engineering and iterative improvement techniques.

Instructional Approach

• Expert-guided demonstrations accompanied by detailed technical explanations.
• Practical exercises concentrated on workflow architecture and multimodal task execution.
• Hands-on laboratory work conducted within AI Studio or Vertex AI environments.

Customization Options

• If your organization requires specific workflow scenarios or data integration case studies, please reach out to us to customize the training content.

Gemini 3 is an advanced AI system designed to elevate Google Search capabilities and boost workplace efficiency via AI Mode.

This live, instructor-led training, available online or onsite, is tailored for beginners seeking to harness Gemini 3 to optimize research, planning, data analysis, and daily knowledge-based tasks.

Upon completion, participants will possess the competencies required to:

• Utilize Gemini 3 in AI Mode to speed up research and information retrieval.
• Implement Gemini-assisted workflows for content summarization and insight extraction.
• Embed Gemini 3 functionalities into routine productivity operations.
• Adopt best practices for the responsible and reliable application of AI tools.

Course Structure

• Guided presentations and live demonstrations by the instructor.
• Structured practical exercises designed to build hands-on skills.
• Real-world applications focused on active search and productivity scenarios.

Customization Availability

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

This instructor-led, live training in Norway (online or onsite) is designed for beginner to intermediate-level 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 use 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 Norway (online or onsite) targets intermediate-level content creators aiming to use Google Gemini AI to improve content quality and operational efficiency.

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

• Grasp the significance of AI in the content creation landscape.
• Configure and utilize Google Gemini AI to generate and refine content.
• Employ text-to-text transformations to craft innovative and unique material.
• Deploy SEO strategies informed by AI-driven analytics.
• Evaluate content performance and adjust tactics using Gemini AI insights.

This instructor-led, live training in Norway (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 Norway (online or onsite) is designed for beginner to intermediate data analysts and business professionals seeking to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Grasp the fundamentals of Google Gemini AI.
• Connect diverse data sources to Gemini AI.
• Explore data through natural language queries.
• Analyze data patterns and extract meaningful insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

Google Gemini AI represents a state-of-the-art large language model delivering advanced AI functionalities, including natural language comprehension, text creation, and multimodal processing. This empowers developers to construct intelligent, context-sensitive applications.

This instructor-led live training, available online or on-site, targets beginner to intermediate developers eager to apply AI principles practically. The curriculum utilizes hands-on projects, real-world case studies, and collaborative exercises focused on Google Gemini AI.

Upon completing this training, participants will be equipped to:

• Configure and utilize Google Gemini AI and associated tools efficiently.
• Create AI-powered applications utilizing text and image inputs.
• Apply NotebookLM for practical AI workflows and document-based reasoning.
• Collaborate within small teams to design and implement functional AI prototypes.

Course Format

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

Customization Options

• For those seeking a tailored version of this course, please reach out to arrange a customized session.

This instructor-led, live training in Norway (online or onsite) is designed for intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, assist with 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 for high efficiency and low cost, making it ideal for practical use cases across various devices and enterprise settings.

This interactive, instructor-led training (available online or onsite) is tailored for entry-level professionals looking to grasp how lightweight LLMs can be effectively deployed in cost-effective, on-device applications.

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

• Describe the foundational principles of lightweight LLMs and the Nano Banana architecture.
• Recognize suitable applications for on-device and budget-conscious AI deployment.
• Assess the potential of Nano Banana for specific business and IT environments.
• Make well-informed choices regarding integration strategies within their organization.

Course Structure

• Instructor-led explanations enhanced by dynamic discussion.
• Practical exercises designed to solidify understanding of core concepts.
• Hands-on sessions exploring the capabilities of lightweight LLMs.

Customization Options

• To adapt this training to specific organizational needs, please reach out to us for a tailored program.

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

This live, instructor-led training (available online or on-site) is tailored for intermediate-level practitioners looking 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 visual, audio, video, and text inputs within unified pipelines.
• Develop interactive prototypes utilizing multimodal prompts.
• Optimize multimodal outputs for enhanced performance, accuracy, and usability.

Course Format

• Guided lectures accompanied by live demonstrations.
• Scenario-based exercises and hands-on practice sessions.
• Practical implementation using live development environments.

Course Customization Options

• For tailored content or custom project-based training, please contact us to arrange.

Nano Banana serves as a streamlined AI framework specifically engineered to facilitate efficient on-device model execution on the Android platform.

This live, instructor-led training session, available both online and on-site, is tailored for Android developers ranging from beginners to those with intermediate experience who aim to embed optimized AI capabilities directly within their mobile applications.

By the conclusion of this program, participants will have acquired the ability to:

• Integrate the Nano Banana SDK into Android Studio projects.
• Execute real-time AI inference through Nano Banana APIs.
• Enhance model performance tailored for resource-constrained mobile environments.
• Adopt best practices for secure and privacy-focused on-device AI operations.

Course Format

• Guided presentations accompanied by interactive group discussions.
• Practical coding tasks designed to solidify fundamental concepts.
• Practical application exercises utilizing real-world Android scenarios.

Customization Opportunities

• To explore a customized version of this course, please contact us to design a bespoke program.

Nano Banana serves as a dedicated on-device AI framework, enabling local model execution while upholding rigorous standards for privacy and regulatory adherence.

This interactive, instructor-led session, available either online or on-site, is tailored for junior to mid-level professionals seeking to embed privacy-centric AI capabilities into mobile solutions utilizing Nano Banana, particularly within highly regulated or sensitive operational contexts.

Upon completing this course, attendees will be equipped to:

• Develop mobile applications that ensure all data processing occurs privately and securely on the device.
• Incorporate Nano Banana to establish AI workflows that meet compliance requirements.
• Implement advanced privacy-enhancing methods, including data anonymization and secure processing protocols.
• Assess and address potential privacy risks throughout the lifecycle of mobile AI development.

Training Delivery Structure

• Facilitated learning sessions enriched by collaborative discussions and Q&A opportunities.
• Scenario-based practical exercises focused on privacy-centric mobile AI applications.
• Direct, hands-on implementation within a live development environment.

Tailoring and Customization

• To address specific organizational requirements or sector-specific compliance mandates, please reach out to discuss customizing this program to suit your unique needs.