Optimizing AI Models for Edge Deployment with Nano Banana Training Course

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

Delivered by an instructor, this live training session (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 ecosystem.

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

• Construct autonomous workflows that harness Gemini 3 for reasoning, planning, and execution.
• Create agents in Antigravity capable of analyzing tasks, generating code, and interacting with various tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Optimize agent behavior, ensuring safety and reliability in complex environments.

Course Format

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experimentation focused on autonomous agent development.
• Practical application using Antigravity, Gemini 3, and complementary cloud tools.

Customization Options

• If your organization requires domain-specific agent behaviors or bespoke integrations, please reach out to tailor the program to your needs.

Nano Banana is a specialized model engineered to facilitate high-speed and efficient AI execution directly on end-user devices.

Designed as a live, instructor-led training session available both online and on-site, this course targets intermediate practitioners seeking to architect and release AI-driven mobile applications leveraging Nano Banana, entirely independent of cloud infrastructure.

Upon successfully completing this program, participants should be equipped to:

• Integrate Nano Banana models directly onto mobile platforms.
• Enhance AI workloads to achieve superior performance and energy efficiency.
• Embed text and image generation capabilities within mobile applications.
• Diagnose, benchmark, and optimize on-device inference pipelines.

Course Format

• Live, instructor-led demonstrations paired with interactive discussions.
• Practical exercises tailored to address real-world application scenarios.
• Direct hands-on development and testing within a live mobile environment.

Customization Options

• Should you require a personalized version of this curriculum, please reach out to discuss specific customization needs.

Gemini 3 is a sophisticated multimodal AI engine built to facilitate intricate reasoning, tasks requiring extensive context, and comprehensive analytical workflows.

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

Upon completion, participants will be proficient in:

• Utilizing Deep-Think Mode to resolve intricate, multi-layered challenges.
• Architecting reasoning pipelines that leverage long-context analysis.
• Refining prompts for iterative, multi-step reasoning processes.
• Embedding Deep-Think capabilities into research or production environments.

Course Structure

• Expert-led presentations featuring practical case studies.
• Practical reasoning labs and structured exercises.
• Applied development within live experimentation environments.

Customization Possibilities

• Upon request, tailored 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, enabling the execution of complex enterprise workflows.

Delivered as a live, instructor-led session (available online or onsite), this training is tailored for intermediate-level professionals seeking to construct reasoning-centric and multimodal workflows using Gemini 3 within enterprise settings.

Upon successful completion of this course, participants will be equipped to:

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

Course Delivery Format

• Guided live demonstrations accompanied by expert commentary.
• Practical exercises centered on workflow architecture and multimodal application.
• 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 tailor the training to your needs.

Gemini 3 is an AI-driven solution designed to elevate Google Search capabilities and enhance workplace efficiency via AI Mode.

This live, instructor-led training session, available either online or onsite, is tailored for beginners looking to utilize Gemini 3 to optimize research, planning, analytical tasks, and routine knowledge work.

During this course, participants will develop the essential skills to:

• Accelerate research and information discovery by leveraging Gemini 3’s AI Mode.
• Streamline workflows using Gemini to summarize content and extract key insights.
• Embed Gemini 3 features seamlessly into daily productivity routines.
• Implement best practices for the responsible and reliable application of AI tools.

Course Format

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

Customization Options

• Seeking a tailored experience aligned with your specific workflows? Contact us to explore customization possibilities.

This instructor-led, live training in Czech Republic (online or onsite) is designed for beginner to intermediate 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:

• Grasp the fundamentals of large language models.
• Set up and utilize Google Gemini AI for a variety of AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This instructor-led, live training in Czech Republic (online or onsite) is designed for intermediate-level content creators who aim to use Google Gemini AI to boost their content quality and operational 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 original and creative material.
• Deploy SEO strategies informed by AI-driven data.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Czech Republic (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 Czech Republic (online or on-site) targets beginner to intermediate data analysts and business professionals who wish to perform 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.
• Connect diverse data sources to Gemini AI.
• Explore data using 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, delivering sophisticated AI functionalities including natural language comprehension, text creation, and multimodal processing. These capabilities empower 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 using Google Gemini AI. The course emphasizes practical application through hands-on projects, real-world scenarios, and collaborative exercises.

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

• Effectively configuring and utilizing Google Gemini AI alongside associated tools.
• Creating AI-powered applications that process both text and image inputs.
• Utilizing NotebookLM for efficient AI workflows and document-based reasoning.
• Working in small teams to design and deploy functional AI prototypes.

Course Format

• Interactive lectures and guided discussions.
• Practical lab exercises and team-based projects.
• Assignments focused on using Google Gemini AI and NotebookLM.

Customization Options

• For tailored training arrangements, please contact us.

This instructor-led live training in Czech Republic (available online or on-site) is tailored for intermediate-level public sector professionals interested in using 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 serves as a streamlined large language model framework, engineered for cost-effective and highly efficient deployment across diverse devices and enterprise settings.

Delivered as a live, instructor-led training session (available online or onsite), this course is tailored for entry-level professionals seeking to grasp how lightweight LLMs can be implemented for practical, on-device, and budget-conscious applications.

Upon completing this course, participants will be equipped to:

• Describe the foundational principles underlying lightweight LLMs and the Nano Banana framework.
• Recognize suitable scenarios for on-device and cost-efficient AI deployment.
• Assess Nano Banana's potential within specific business and IT contexts.
• Make strategic decisions regarding integration strategies within their organization.

Course Format

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

Customization Options

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

Gemini 3 serves as a comprehensive multimodal AI platform, empowering users to process and draw inferences from a wide range of media, including images, video, audio, and text.

This live, instructor-led training session, available both online and onsite, is designed specifically for intermediate-level professionals looking to architect and develop applications that leverage the cross-modal intelligence capabilities of Gemini 3.

By the end of this workshop, participants will have developed the proficiency to:

• Seamlessly integrate Gemini 3's multimodal endpoints into practical, real-world workflows.
• Process and analyze visual, audio, video, and textual data within cohesive, unified pipelines.
• Develop interactive prototypes by employing sophisticated multimodal prompts.
• Refine multimodal outputs to enhance performance, ensure accuracy, and improve overall usability.

Course Structure

• Engaging guided lectures accompanied by live demonstrations.
• Scenario-driven exercises and extensive hands-on practice.
• Real-world implementation tasks conducted within live development environments.

Customization Opportunities

• We invite you to contact us to discuss tailored content or custom project-based training options.

Nano Banana is a streamlined AI framework engineered to facilitate efficient model execution directly on Android devices.

Delivered by an instructor in either an online or on-site setting, this live training is tailored for Android developers ranging from beginner to intermediate levels who aim to embed optimized AI capabilities directly into their mobile applications.

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

• Integrate the Nano Banana SDK within Android Studio projects.
• Execute real-time AI inference through Nano Banana APIs.
• Enhance model performance to suit the constraints of mobile environments.
• Adopt best practices for ensuring secure, privacy-focused on-device AI processing.

Course Format

• Structured presentations complemented by collaborative discussions.
• Practical coding exercises designed to solidify core concepts.
• Practical application exercises utilizing real-world Android scenarios.

Customization Options

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

Nano Banana is a framework for on-device AI engineered to execute models locally while upholding rigorous privacy standards and regulatory adherence.

This live, instructor-led training, available either online or onsite, is tailored for professionals ranging from beginner to intermediate levels who seek to deploy privacy-preserving AI capabilities on mobile platforms. It is particularly suited for those operating within regulated or sensitive contexts.

Upon completion, participants will possess the ability to:

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

Course Delivery Format

• Guided learning sessions featuring interactive discussions and Q&A opportunities.
• Practical exercises centered on privacy-driven mobile AI scenarios.
• Hands-on implementation tasks conducted within a realistic development environment.

Customization Possibilities

• For specific organizational requirements or industry-specific compliance issues, please reach out to us to tailor this program accordingly.