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 capabilities of Gemini 3 for planning, reasoning, coding, and execution.

Delivered as an instructor-led, live training session available online or onsite, this program targets advanced technical professionals seeking to design, build, and deploy autonomous agents using Gemini 3 within the Antigravity ecosystem.

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

• Construct autonomous workflows that leverage Gemini 3 for complex reasoning, strategic planning, and task execution.
• Develop agents within Antigravity capable of analyzing objectives, generating code, and interacting with various tools.
• Seamlessly integrate Gemini-driven agents with existing enterprise systems and APIs.
• Enhance the behavior, safety, and reliability of agents operating within complex environments.

Course Format

• Expert-led demonstrations integrated with interactive discussions.
• Hands-on practical exercises focused on autonomous agent development.
• Real-world implementation utilizing Antigravity, Gemini 3, and complementary cloud tools.

Course Customization Options

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

Nano Banana is a specialized model designed to deliver rapid and efficient AI execution directly on user devices.

Delivered live by an instructor either online or on-site, this course targets intermediate-level professionals aiming to build and release AI-enhanced mobile applications with Nano Banana, eliminating the need for cloud-based infrastructure.

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

• Deploy Nano Banana models natively on mobile platforms.
• Enhance AI workload performance and energy consumption.
• Embed text and image generation capabilities into mobile interfaces.
• Diagnose, benchmark, and improve on-device inference processes.

Course Structure

• Interactive demonstrations led by the instructor, complemented by group discussions.
• Practical tasks centered on real-world applications.
• Live coding and testing sessions within a functional mobile environment.

Customization Availability

• For those needing a personalized curriculum, please reach out to explore available customization options.

Gemini 3 represents a sophisticated multimodal AI architecture engineered to facilitate deep reasoning, manage high-context tasks, and support extended analytical workflows.

This interactive, live training program—available online or onsite—is tailored for senior professionals seeking to harness Deep-Think Mode for complex modeling, intricate analysis, and strategic planning.

Upon completion, participants will possess the skills necessary to:

• Utilize Deep-Think Mode to address complex, multi-faceted challenges.
• Develop reasoning pipelines that leverage long-context analysis capabilities.
• Refine prompts to optimize iterative, multi-step reasoning processes.
• Incorporate Deep-Think functionalities into research or production environments.

Course Structure

• Expert-led sessions featuring real-world case studies.
• Practical reasoning laboratories and structured practice exercises.
• Applied development using live experimental environments.

Customization Availability

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

Gemini 3 is a multimodal artificial intelligence model engineered to process and reason across text, images, and structured data, enabling complex enterprise operations to be supported effectively.

This live, instructor-led training, available online or onsite, is designed for mid-level professionals seeking to construct reasoning-focused and multimodal workflows within corporate environments using Gemini 3.

Upon completion of this course, participants will possess the competencies to:

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

Course Delivery Format

• Expert-led guided demonstrations with detailed technical explanations.
• Practical, hands-on exercises centered on workflow architecture and multimodal task execution.
• Direct experimentation within AI Studio or Vertex AI platforms.

Customization Options

• Should your organization require specific workflow scenarios or data integration case studies, reach out to us to tailor the training to your needs.

Gemini 3 serves as an AI-driven solution designed to elevate Google Search capabilities and boost workplace efficiency via its AI Mode feature.

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

By the end of this program, participants will have acquired the competencies required to:

• Leverage Gemini 3 in AI Mode to speed up research processes and discover information more efficiently.
• Implement Gemini-assisted workflows to condense content and derive meaningful insights.
• Seamlessly incorporate Gemini 3 functionalities into daily productivity routines.
• Establish best practices for the responsible and dependable application of AI tools.

Course Format

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

Customization Options

• For training specifically adapted to your unique workflows, please reach out to discuss available customization opportunities.

This instructor-led, live training in Brazil (online or onsite) is designed for developers with beginner to intermediate skill levels who want to integrate AI functionalities into their applications using Google Gemini AI.

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

• Grasp the core principles of large language models.
• Configure and utilize Google Gemini AI for various AI tasks.
• Execute text-to-text and image-to-text transformations.
• Develop fundamental AI-driven applications.
• Explore advanced features and customization options within Google Gemini AI.

This instructor-led, live training in Brazil (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 Brazil (online or onsite) is designed for intermediate-level customer service professionals looking to implement Google Gemini AI in their 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 Brazil (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 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 delivers advanced artificial intelligence capabilities, including natural language comprehension, text creation, and multimodal processing. These features empower developers to construct intelligent, context-aware applications.

This live training session, led by an instructor and available online or at your location, is designed for beginner to intermediate developers. The course focuses on the practical application of AI concepts through Google Gemini AI, utilizing hands-on projects, real-world scenarios, and collaborative exercises.

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

• Effectively configure and utilize Google Gemini AI along with its associated tools.
• Create AI-powered applications that process both text and image inputs.
• Utilize NotebookLM to streamline practical AI workflows and enable document-based reasoning.
• Work in small teams to design and deploy functional AI prototypes.

Course Structure

• Interactive lectures combined with guided discussions.
• Practical lab exercises and collaborative project work.
• Applied assignments leveraging Google Gemini AI and NotebookLM.

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

This live training, led by an instructor and available in Brazil (online or in-person), is tailored for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, assist with research, 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 framework engineered for efficient and cost-effective real-world deployment across diverse devices and enterprise settings.

This live, instructor-led training session, available both online and onsite, is specifically designed for entry-level professionals seeking to grasp how lightweight LLMs can be implemented for practical, on-device, and budget-conscious applications.

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

• Describe the fundamental concepts underpinning lightweight LLMs and Nano Banana.
• Recognize suitable use cases for on-device and low-cost AI implementation.
• Assess Nano Banana’s potential within specific business and IT contexts.
• Make well-informed decisions regarding integration strategies within their organizations.

Course Structure

• Instructor-led explanations enhanced by interactive discussions.
• Practical exercises designed to solidify understanding of key concepts.
• Hands-on exploration of lightweight LLM features.

Customization Availability

• Please reach out to us to discuss tailored versions of this training program.

Gemini 3 represents a powerful multimodal AI platform designed to process and reason seamlessly across images, video, audio, and text.

This live, instructor-led training—available both online and onsite—is tailored for intermediate-level practitioners looking to design and construct applications that leverage Gemini 3’s cross-modal intelligence.

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

• Seamlessly integrate Gemini 3 multimodal endpoints into real-world operational workflows.
• Process and interpret visual, audio, video, and text inputs within unified pipelines.
• Develop interactive prototypes utilizing multimodal prompts.
• Optimize multimodal outputs to enhance performance, accuracy, and usability.

Course Structure

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

Customization Options

• Contact us to discuss tailored content or custom project-based training requirements.

Nano Banana serves as a streamlined AI framework specifically engineered for high-efficiency, on-device model execution within the Android ecosystem.

Designed as a live, instructor-led training session (available online or onsite), this program caters to Android developers ranging from beginner to intermediate levels who are eager to embed optimized AI functionalities directly into their mobile applications.

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

• Seamlessly integrate the Nano Banana SDK into Android Studio projects.
• Execute real-time AI inference leveraging the Nano Banana APIs.
• Tune model performance to suit resource-constrained mobile environments.
• Adopt best practices for secure, privacy-centric on-device AI solutions.

Course Delivery Methodology

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

Customization Possibilities

• Contact us to discuss and arrange a customized version of this course tailored to your specific needs.

Nano Banana is a dedicated on-device AI framework engineered to execute models locally while adhering to rigorous privacy standards and regulatory compliance.

This instructor-led, live training session (available online or onsite) is tailored for professionals ranging from beginner to intermediate levels who aim to implement privacy-preserving AI capabilities on mobile platforms using Nano Banana, particularly within regulated or sensitive operational environments.

Upon completing this program, participants will be equipped to:

• Develop mobile applications capable of processing data privately entirely on the device.
• Integrate Nano Banana to facilitate fully compliant AI workflows.
• Implement privacy-enhancing techniques, including data anonymization and secure processing methods.
• Assess and mitigate potential privacy risks inherent in mobile AI development cycles.

Course Structure

• Facilitated guidance complemented by interactive discussions and Q&A sessions.
• Practical exercises centered on privacy-centric mobile AI use cases.
• Direct, hands-on implementation within an authentic development environment.

Customization Opportunities

• For requirements specific to your organization or particular sector compliance needs, please reach out to us to tailor this program accordingly.