Introduction to Nano Banana: Lightweight LLMs for Real-World Applications 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 comprehensive planning, reasoning, coding, and execution.

This live, instructor-led training—available either online or onsite—targets advanced technical professionals seeking to design, construct, and deploy autonomous agents using the Antigravity environment and Gemini 3 capabilities.

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

• Construct autonomous workflows that utilize 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 external tools.
• Seamlessly integrate Gemini-driven agents into existing enterprise systems and API architectures.
• Enhance agent reliability, safety, and performance within complex operational environments.

Course Format

• Expert-led demonstrations paired with interactive discussions to deepen understanding.
• Hands-on sessions focused on the practical development of autonomous agents.
• Practical implementation exercises utilizing Antigravity, Gemini 3, and complementary cloud-based tools.

Customization Options

• If your organization requires specialized agent behaviors or unique integrations, reach out to us to tailor the curriculum to your specific needs.

Nano Banana is a specialized model engineered for rapid and efficient AI execution directly on local devices.

This instructor-led, live training program—available either online or onsite—targets intermediate-level practitioners seeking to design and deploy AI-powered mobile applications using Nano Banana, independent of cloud infrastructure.

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

• Deploy Nano Banana models directly onto mobile hardware.
• Optimize AI workloads to achieve peak performance and energy efficiency.
• Incorporate text and image generation capabilities into mobile applications.
• Troubleshoot, benchmark, and refine on-device inference pipelines.

Course Format

• Instructor-led demonstrations paired with collaborative discussions.
• Practical exercises centered on real-world use cases.
• Live hands-on development and testing in a mobile environment.

Customization Options

• If you require a tailored version of this course, please reach out to us to discuss available customization options.

Nano Banana is a lightweight AI framework engineered to accelerate and compress models, ensuring efficient deployment on edge devices and within on-device environments.

This instructor-led live training, available either online or onsite, is designed for professionals with intermediate to advanced expertise. It focuses on optimizing, compressing, and deploying AI models tailored for edge environments using Nano Banana.

Upon completing the program, participants will be equipped to:

• Implement compression and quantization techniques for AI models.
• Enhance inference performance specifically for edge devices.
• Utilize Nano Banana’s toolchain to convert and deploy models.
• Assess the trade-offs between model accuracy, latency, and resource consumption.

Course Format

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

Customization Options

• To receive tailored content or organization-specific adaptations, please contact us to arrange a customized version of this course.

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

This live, instructor-led training session, available either online or onsite, is tailored for advanced professionals looking to harness 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 resolve complex, multi-dimensional challenges.
• Create reasoning workflows that incorporate long-context analysis.
• Refine prompts for iterative, multi-stage reasoning assignments.
• Incorporate Deep-Think capabilities into research or production environments.

Course Structure

• Expert-guided presentations featuring practical case studies.
• Practical reasoning labs and organized practice exercises.
• Applied development tasks utilizing live testing environments.

Customization Options

• Specialized sessions or domain-specific deep-reasoning projects can be tailored upon request.

Gemini 3 is a sophisticated multimodal AI model engineered to process and reason across text, visual data, and structured inputs, enabling complex enterprise operations.

Delivered as an instructor-led live session—either online or on-site—this course is tailored for intermediate professionals seeking to construct reasoning-driven and multimodal workflows within enterprise settings using Gemini 3.

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

• Leverage Gemini 3’s advanced reasoning to enhance enterprise planning and decision-making processes.
• Architect multimodal workflows that seamlessly integrate text, images, documents, and tabular data.
• Build robust business workflows utilizing AI Studio and Vertex AI platforms.
• Refine output quality through advanced prompt engineering and iterative optimization techniques.

Course Delivery Format

• Expert-led demonstrations accompanied by detailed contextual explanations.
• Practical exercises emphasizing workflow architecture and multimodal task management.
• Interactive hands-on sessions within AI Studio or Vertex AI environments.

Customization Options

• We invite organizations requiring specific workflow scenarios or data integration case studies to reach out for tailored training adaptations.

Gemini 3 is an advanced AI system designed to elevate the Google Search experience and boost workplace efficiency through its dedicated AI Mode.

Delivered as an instructor-led live session (available online or onsite), this course is tailored for beginners looking to streamline research, planning, analysis, and routine knowledge tasks using Gemini 3.

Upon completion, participants will possess the necessary skills to:

• Accelerate research and information discovery by utilizing Gemini 3 in AI Mode.
• Leverage Gemini-assisted workflows to summarize content and derive meaningful insights.
• Seamlessly integrate Gemini 3 features into daily productivity routines.
• Implement best practices for the responsible and reliable application of AI tools.

Course Format

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

Customization Opportunities

• To tailor the training to your specific workflows, please reach out to discuss available customization options.

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

By the end 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 creative and original material.
• Deploy SEO strategies powered by AI-driven insights.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Mexico (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 Mexico (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:

• Understand the fundamentals of Google Gemini AI.
• Connect various 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 smart, context-sensitive applications.

This guided live training session, available either online or in-person, targets developers at beginner to intermediate levels who want to put AI principles into practice using Google Gemini AI. The course incorporates practical projects, real-world scenarios, and team-based activities to facilitate learning.

Upon completing this training, attendees will be equipped to:

• Configure and effectively utilize Google Gemini AI alongside related tools.
• Create AI-powered applications that process both text and image inputs.
• Utilize NotebookLM to streamline practical AI workflows and enable reasoning based on documents.
• Work within small teams to design and implement functional AI prototypes.

Course Delivery Format

• Engaging lectures combined with facilitated discussions.
• Practical lab sessions and collaborative team projects.
• Applied assignments involving Google Gemini AI and NotebookLM.

Customization Possibilities

• For inquiries regarding tailored training options for this course, please reach out to us to make arrangements.

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, support research, and improve productivity through advanced AI interactions.

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

• Design more effective and customized prompts for specific scenarios.
• Produce original and creative content using Gemini.
• Summarize and compare complex information with accuracy.
• Utilize Gemini for brainstorming, planning, and organizing ideas efficiently.

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

This instructor-led, live training session (available online or onsite) is tailored for intermediate-level practitioners seeking to design and develop applications that leverage the cross-modal intelligence of Gemini 3.

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 utilizing advanced multimodal prompting techniques.
• Refine multimodal outputs to enhance performance, accuracy, and user experience.

Course Format

• Guided lectures complemented by live demonstrations.
• Scenario-based exercises focused on hands-on practice.
• Practical implementation using active development environments.

Customization Options

• Reach out to us to arrange tailored content or custom project-based training sessions.

Nano Banana is a lean AI framework engineered to enable efficient, on-device model execution within the Android ecosystem.

This live, instructor-led program—available both online and in person—is tailored for Android developers ranging from beginners to intermediates who are looking to embed optimized AI capabilities directly into their mobile applications.

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

• Seamlessly integrate the Nano Banana SDK into their Android Studio workflows.
• Deploy real-time AI inference leveraging Nano Banana APIs.
• Tune model performance to thrive within the resource constraints of mobile devices.
• Adopt best practices that ensure secure, privacy-focused on-device AI.

Course Format

• Engaging presentations combined with interactive group discussions.
• Practical coding challenges designed to solidify key concepts.
• Hands-on exercises featuring real-world Android scenarios.

Customization Options

• Contact us to discuss tailored course versions that meet your specific program needs.

Nano Banana serves as a specialized on-device AI framework, engineered to execute models locally while adhering to stringent privacy standards and regulatory requirements.

This live, instructor-led training—available either online or onsite—targets professionals from beginner to intermediate levels who aim to deploy privacy-focused AI capabilities on mobile devices using Nano Banana within regulated or sensitive contexts.

Upon completion, participants will have the capability to:

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

Course Format

• Structured guidance enriched by collaborative discussions and Q&A sessions.
• Practical tasks centered on privacy-centric mobile AI scenarios.
• Real-world implementation exercises within a functional development environment.

Customization Options

• To tailor the program for specific organizational objectives or industry compliance requirements, please reach out for a customized solution.