Building On-Device AI Apps with Nano Banana Training Course

Google Antigravity serves as an agentic development platform specifically engineered to create autonomous agents that leverage Gemini 3's multimodal capabilities for planning, reasoning, coding, and execution.

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

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

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

Course Format

• Expert-led demonstrations paired with interactive peer discussions.
• Practical, hands-on experimentation in autonomous agent development.
• Real-world implementation utilizing Antigravity, Gemini 3, and complementary cloud services.

Customization Options

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

Nano Banana is a lean AI framework engineered to enhance and reduce the footprint of models for streamlined on-device and edge deployment.

This live, instructor-led training, available both online and on-site, targets mid-level to advanced professionals seeking to optimize, compress, and deploy AI models within edge environments using Nano Banana.

Upon completing this program, participants will be equipped to:

• Implement compression and quantization techniques for AI models.
• Boost inference performance specifically for edge devices.
• Utilize Nano Banana’s toolchain to convert and deploy models.
• Analyze the balance between accuracy, latency, and resource consumption.

Course Delivery Format

• Instructor-led technical deep dives and facilitated discussions.
• Practical exercises based on real-world edge AI scenarios.
• Hands-on implementation within a pre-configured live environment.

Customization Availability

• Contact us to arrange a tailored version of this course for specific organizational needs or custom content.

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, tasks requiring extensive context, and comprehensive analytical processes.

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

Upon completing this course, participants will be prepared to:

• Utilize Deep-Think Mode to address intricate, multi-dimensional problems.
• Architect 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 Format

• Presentations led by experts, illustrated with real-world examples.
• Practical reasoning labs and structured hands-on exercises.
• Applied development through live experimentation settings.

Customization Options

• Upon request, customized sessions or domain-specific deep-reasoning projects can be arranged.

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

This live, instructor-led training—available online or onsite—is tailored for intermediate-level professionals seeking to architect reasoning-centric and multimodal workflows leveraging Gemini 3 within corporate settings.

Upon completion, participants will possess the expertise to:

• Leverage Gemini 3’s reasoning engines to enhance enterprise planning and decision-making processes.
• Architect multimodal workflows that integrate text, visual assets, documents, and tabular data.
• Construct business-oriented workflows utilizing AI Studio and Vertex AI platforms.
• Refine model outputs through advanced prompt engineering and iterative optimization techniques.

Course Structure

• Expert-led demonstrations accompanied by detailed conceptual explanations.
• Applied exercises emphasizing workflow architecture and multimodal task execution.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Customization Options

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

Gemini 3 is an AI-driven system designed to elevate the capabilities of Google Search and boost workplace efficiency through its integrated AI Mode.

Delivered as a live, instructor-led session available both online and onsite, this course is tailored for beginners seeking to utilize Gemini 3 to optimize research, planning, analytical tasks, and routine knowledge management.

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

• Utilize Gemini 3 within AI Mode to expedite research processes and information retrieval.
• Implement Gemini-assisted workflows to condense content and derive meaningful insights.
• Incorporate Gemini 3 functionalities into daily operational and productivity tasks.
• Embrace best practices for the responsible and dependable application of AI tools.

Course Delivery Method

• Guided presentations and live demonstrations by an instructor.
• Organized practical exercises designed to build hands-on skills.
• Application of concepts through real-world search and productivity scenarios.

Customization Possibilities

• To align the training with your specific workflows, please reach out to us to explore available customization options.

This instructor-led live training session, conducted in Vietnam (online or onsite), targets beginner to intermediate-level developers seeking to integrate AI functionalities into their applications via Google Gemini AI.

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

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

This instructor-led live training in Vietnam (available online or onsite) is tailored for intermediate-level content creators seeking to use Google Gemini AI to boost content quality and efficiency.

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

• Comprehend the function of AI in the content creation workflow.
• Configure and utilize Google Gemini AI to generate and refine content.
• Apply text-to-text transformations to develop original and inventive material.
• Deploy SEO strategies informed by AI-generated insights.
• Evaluate content performance and adjust tactics using Gemini AI analytics.

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

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Google Gemini AI.
• Link various data sources to Gemini AI.
• Explore data through natural language queries.
• Analyze data patterns and extract insights.
• Create engaging data visualizations.
• Effectively communicate data-driven insights.

Google Gemini AI represents a state-of-the-art large language model that delivers sophisticated AI functionalities, including advanced natural language comprehension, text creation, and multimodal processing. These capabilities empower developers to construct intelligent applications that are aware of their context.

This instructor-led live training session (available online or on-site) is designed for beginner to intermediate developers who want to put AI principles into practice using Google Gemini AI. The course focuses on practical application through hands-on projects, real-world case studies, and collaborative exercises.

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

• Effectively configure and utilize Google Gemini AI alongside related tools.
• Create AI-powered applications capable of processing both text and image inputs.
• Utilize NotebookLM to streamline practical AI workflows and enhance document-based reasoning.
• Work within small teams to design and implement functional AI prototypes.

Course Delivery Format

• Interactive lectures paired with guided discussions.
• Practical lab sessions and collaborative group projects.
• Real-world assignments involving Google Gemini AI and NotebookLM.

Customization Opportunities

• If you wish to arrange a tailored training session for this course, please reach out to us for assistance.

This instructor-led live training in Vietnam (online or onsite) is designed for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, support research efforts, 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 lightweight large language model (LLM) framework engineered to deliver efficient, cost-effective performance in real-world settings, spanning both edge devices and enterprise ecosystems.

This live, instructor-led training, available online or on-site, is designed for entry-level professionals seeking to comprehend how lightweight LLMs can be deployed for practical, on-device, and budget-conscious applications.

Upon completing this course, participants will possess the ability to:

• Articulate the fundamental principles underlying lightweight LLMs and the Nano Banana framework.
• Recognize suitable scenarios for on-device and low-cost AI integration.
• Assess the suitability of Nano Banana for specific business and IT contexts.
• Make well-informed decisions regarding integration strategies within their organization.

Course Format

• Instructional guidance complemented by interactive discussions.
• Practical exercises designed to solidify core concepts.
• Hands-on investigation into the capabilities of lightweight LLMs.

Customization Options

• To tailor this training to specific needs, please contact us to customize the program.

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

This live, instructor-led training—available online or onsite—is tailored for intermediate-level professionals seeking 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 textual inputs within unified pipelines.
• Develop interactive prototypes utilizing multimodal prompting techniques.
• Optimize multimodal outputs to enhance performance, accuracy, and user experience.

Course Format

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

Customization Options

• Contact us to arrange tailored content or project-based training sessions.

Nano Banana is a compact AI framework engineered to enable efficient on-device model execution within Android environments.

This live, instructor-led training session—available online or onsite—targets Android developers ranging from beginner to intermediate levels who aim to embed optimized AI features directly into their mobile applications.

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

• Integrate the Nano Banana SDK into Android Studio projects seamlessly.
• Utilize Nano Banana APIs to perform real-time AI inference.
• Tune model performance specifically for resource-constrained mobile devices.
• Adopt best practices for implementing secure and privacy-focused on-device AI solutions.

Course Delivery Format

• Interactive presentations paired with collaborative group discussions.
• Practical coding tasks designed to solidify understanding of core concepts.
• Hands-on exercises applying real-world Android scenarios.

Customization Opportunities

• Contact us to discuss and arrange a tailored version of this curriculum.

Nano Banana is a specialized on-device AI framework engineered to execute models locally, ensuring robust privacy and full regulatory compliance within mobile environments.

This live, instructor-led session, available either online or onsite, is tailored for professionals ranging from beginner to intermediate levels who are looking to deploy privacy-preserving AI features on mobile devices using Nano Banana, particularly within regulated or highly sensitive sectors.

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

• Develop mobile applications that handle data privately directly on the device.
• Integrate Nano Banana to establish AI workflows that meet compliance standards.
• Implement privacy-enhancing techniques, including anonymization and secure processing methods.
• Assess and address privacy risks throughout the mobile AI development lifecycle.

Course Format

• Interactive guided instruction supplemented by open discussions and Q&A sessions.
• Practical exercises focused on privacy-centric mobile AI scenarios.
• Hands-on implementation tasks performed within a realistic development environment.

Customization Options

• To align with specific organizational requirements or industry-specific compliance topics, please reach out to us to tailor this program.