Optimizing AI Models for Edge Deployment with Nano Banana Training Course

Google Antigravity serves as a specialized agentic development environment, engineered to create autonomous agents that leverage the multimodal strengths of Gemini 3 for advanced planning, logical reasoning, coding, and execution.

This live, instructor-led training—available both online and onsite—is tailored for senior technical professionals seeking to architect, construct, and deploy autonomous agents utilizing Gemini 3 within the Antigravity ecosystem.

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.
• Create agents within Antigravity capable of analyzing complex tasks, generating code, and interacting with external tools.
• Seamlessly integrate Gemini-powered agents into enterprise infrastructure and API ecosystems.
• Enhance agent performance by optimizing behavior, safety protocols, and reliability in complex operational settings.

Delivery Format

• Expert-led demonstrations integrated with interactive discussions.
• Practical, hands-on exploration of autonomous agent development.
• Real-world application using Antigravity, Gemini 3, and complementary cloud technologies.

Customization Availability

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

Nano Banana is a specialized model engineered for rapid and efficient on-device AI execution.

This instructor-led live training, available both online and onsite, is designed for intermediate practitioners looking to create and deploy AI-powered mobile applications with Nano Banana, completely independent of cloud infrastructure.

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

• Deploy Nano Banana models directly onto mobile devices.
• Enhance AI workload performance while optimizing for energy efficiency.
• Incorporate text and image generation capabilities into mobile applications.
• Diagnose, benchmark, and refine on-device inference pipelines.

Course Delivery Format

• Interactive instructor-led demonstrations paired with collaborative discussions.
• Practical exercises targeting real-world scenarios.
• Live hands-on development and testing in mobile environments.

Customization Options

• For a tailored version of this course, please reach out to discuss specific customization needs.

Gemini 3 represents a sophisticated multimodal AI framework engineered to facilitate complex reasoning, high-context interactions, and extended analytical processes.

Delivered by expert instructors in a live format (either online or on-site), this training is tailored for advanced professionals seeking to harness Deep-Think Mode for rigorous analysis, modeling, and strategic planning initiatives.

Upon completing this module, learners will be prepared to:

• Utilize Deep-Think Mode to address complex, multi-layered challenges.
• Architect reasoning pipelines that encompass long-context analysis.
• Refine prompts to optimize iterative, multi-step reasoning tasks.
• Incorporate Deep-Think capabilities into established research or production environments.

Course Structure

• Presentation of real-world examples led by subject matter experts.
• Practical reasoning laboratories and structured practical exercises.
• Applied development sessions utilizing live experimentation environments.

Customization Availability

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

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

This live, instructor-led session—available both online and on-site—is tailored for intermediate professionals seeking to construct reasoning-driven and multimodal workflows utilizing Gemini 3 within their organizational settings.

Upon finishing this module, attendees will possess the expertise to:

• Leverage Gemini 3’s reasoning strengths to enhance enterprise planning and decision-making cycles.
• Architect multimodal processes that seamlessly integrate text, visual data, documents, and tabular formats.
• Construct robust business workflows by leveraging AI Studio and Vertex AI frameworks.
• Refine and optimize output quality through advanced prompt engineering and iterative improvement strategies.

Course Structure

• Instructional demonstrations accompanied by detailed expert analysis.
• Practical tasks emphasizing workflow architecture and multimodal application.
• Direct, hands-on experimentation within AI Studio or Vertex AI platforms.

Tailoring Options

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

Gemini 3 is an AI-driven platform designed to elevate Google Search experiences and enhance workplace efficiency through its AI Mode.

This live, instructor-led session—available online or onsite—is tailored for beginners eager to harness the power of Gemini 3 to optimize research, planning, analysis, and routine knowledge work.

During this training, attendees will develop the competencies required to:

• Leverage Gemini 3 in AI Mode to speed up research and information discovery.
• Utilize Gemini-assisted workflows to condense content and derive meaningful insights.
• Incorporate Gemini 3 functionalities into daily productivity routines.
• Implement best practices for the responsible and dependable use of AI technologies.

Course Delivery Format

• Instructor-led presentations and live demonstrations.
• Structured practical exercises to build hands-on skills.
• Application of real-world scenarios involving live search and productivity tasks.

Customization Possibilities

• Contact us to discuss bespoke training solutions tailored to your specific workflows.

This instructor-led, live training in Argentina (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 completing this training, participants will be able to:

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

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate-level content creators who want to leverage Google Gemini AI to enhance both the quality and efficiency of their work.

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 Argentina (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 Argentina (online or onsite) targets data analysts and business professionals at beginner to intermediate levels who aim to perform complex data analysis tasks more intuitively across different industries using Google Gemini AI.

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

• Grasping the core principles of Google Gemini AI.
• Linking diverse data sources to Gemini AI.
• Exploring data through natural language queries.
• Analyzing data patterns and extracting valuable insights.
• Designing engaging data visualizations.
• Effectively communicating data-driven insights.

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. These capabilities empower developers to construct intelligent applications that are aware of context.

This guided live training, available both online and on-site, targets beginner to intermediate developers eager to put AI concepts into practice. Participants will engage with Google Gemini AI through practical projects, real-world scenarios, and collaborative tasks.

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

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

Course Format

• Engaging lectures paired with guided discussions.
• Practical lab sessions and cooperative projects.
• Real-world assignments utilizing Google Gemini AI and NotebookLM.

Customization Options

• For tailored training solutions, please get in touch with us to arrange your needs.

This guided, live training in Argentina (online or onsite) focuses on intermediate-level public sector specialists interested in using Gemini to create high-quality content, support research, and increase productivity through advanced AI interactions.

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

• Develop more effective and specific prompts for particular scenarios.
• Create original and creative content using Gemini.
• Accurately summarize and compare complex data.
• Leverage Gemini for efficient brainstorming, planning, and structuring ideas.

Nano Banana represents a streamlined large language model framework engineered for high efficiency and cost-effectiveness, catering to diverse device and enterprise settings.

Delivered through instructor-led live sessions—either online or on-site—this course targets beginner-level professionals seeking to grasp how lightweight LLMs can be implemented for practical, on-device, and budget-conscious applications.

Upon completing this course, learners will be equipped to:

• Articulate the foundational concepts underpinning lightweight LLMs and the Nano Banana framework.
• Pinpoint suitable applications for on-device and low-cost AI deployment.
• Assess the capabilities of Nano Banana within specific business and IT contexts.
• Make well-informed choices regarding integration strategies within their respective organizations.

Course Delivery Method

• Instructor-led guidance enhanced by interactive discussions.
• Practical assignments designed to solidify core concepts.
• Direct, hands-on examination of lightweight LLM features.

Customization Possibilities

• To adapt this training to specific needs, please reach out to discuss customization options.

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

This instructor-led live training, available online or onsite, is tailored for intermediate-level professionals looking to design and develop applications that leverage Gemini 3’s cross-modal capabilities.

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

• Seamlessly integrate Gemini 3 multimodal endpoints into practical, real-world workflows.
• Process and interpret a unified stream of visual, audio, video, and textual data.
• Develop interactive prototypes driven by multimodal prompting techniques.
• Refine multimodal outputs to ensure optimal performance, accuracy, and user experience.

Course Format

• Interactive lectures accompanied by live demonstrations.
• Scenario-driven exercises focused on hands-on application.
• Practical implementation within live development environments.

Customization Options

• For specialized content or project-based training, please reach out to discuss a tailored approach.

Nano Banana is a streamlined AI framework built to execute machine learning models efficiently and directly on Android devices.

This live, instructor-led session, available both online and on-site, is tailored for Android developers with beginner to intermediate experience looking to embed optimized AI features into their mobile applications.

By the end of this program, participants will gain the ability to:

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

Course Format

• Interactive presentations paired with collaborative discussions.
• Practical coding tasks designed to solidify core concepts.
• Hands-on implementation using authentic Android scenarios.

Customization Options

• For a tailored training program, please contact us to discuss a customized curriculum.

Nano Banana serves as a specialized on-device AI framework, engineered to execute models locally while upholding rigorous privacy standards and ensuring full regulatory compliance.

This instructor-led live session, available either online or onsite, is tailored for professionals ranging from beginners to intermediate practitioners who aim to deploy privacy-preserving AI capabilities on mobile platforms. It is particularly suited for those operating within regulated or sensitive sectors using Nano Banana.

Upon completing this program, participants will gain the competence to:

• Develop mobile applications capable of processing data privately and exclusively on the device.
• Incorporate Nano Banana to facilitate fully compliant AI workflows.
• Implement advanced privacy-enhancing methods, including data anonymization and secure processing protocols.
• Assess and address potential privacy risks throughout the mobile AI development lifecycle.

Course Delivery Structure

• Interactive instruction enriched by open discussions and Q&A sessions.
• Practical exercises centered on privacy-centric mobile AI use cases.
• Direct hands-on implementation within an active development environment.

Tailored Training Options

• For bespoke organizational requirements or industry-specific compliance focus, please reach out to us to customize this program to your needs.