Gemini 3 in Google Search & Knowledge Work: Using AI Mode for Productivity Training Course

Google Antigravity serves as an agentic development environment crafted for constructing autonomous agents that leverage Gemini 3's multimodal capabilities to plan, reason, code, and execute actions.

This instructor-led live training (available online or onsite) targets advanced technical professionals aiming to design, build, and deploy autonomous agents using the Antigravity environment alongside Gemini 3.

Upon completing this course, participants will be equipped to:

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

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

Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

Nano Banana is a specialized model optimized for fast, efficient on-device AI execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana without relying on cloud infrastructure.

Upon completing this program, attendees should be able to:

• Implement Nano Banana models directly on mobile devices.
• Optimize AI workloads for performance and energy efficiency.
• Integrate text and image generation features into mobile apps.
• Troubleshoot, benchmark, and refine on-device inference pipelines.

Format of the Course

• Instructor-guided demonstrations and collaborative discussion.
• Practical exercises focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customization Options

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

Nano Banana is a lightweight AI framework built to accelerate and compress models, enabling efficient deployment on devices and at the edge.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals looking to optimize, compress, and deploy AI models for edge environments using Nano Banana.

Upon completing this program, learners will be able to:

• Apply compression and quantization techniques to AI models.
• Enhance inference performance for edge devices.
• Convert and deploy models using the Nano Banana toolchain.
• Evaluate trade-offs between accuracy, latency, and resource usage.

Course Format

• Instructor-led technical sessions paired with guided discussions.
• Hands-on exercises based on real-world edge-AI scenarios.
• Practical implementation within a configured live environment.

Course Customization Options

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

Gemini 3 is an advanced multimodal AI system designed to support deep reasoning, high-context tasks, and long-form analytical workflows.

This instructor-led training (available online or onsite) targets advanced professionals who want to use Deep-Think Mode for complex analysis, modelling, and strategic planning.

Upon completing this course, participants will be able to:

• Apply Deep-Think Mode to solve intricate, multi-layered problems.
• Design reasoning pipelines that incorporate long-context analysis.
• Optimise prompts for iterative, multi-step reasoning tasks.
• Integrate Deep-Think capabilities into research or production workflows.

Course Format

• Expert-led presentations with real examples.
• Hands-on reasoning labs and structured exercises.
• Applied development using live experimentation environments.

Customization Options

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

Gemini 3 is a multimodal AI model engineered to reason across text, images, and structured inputs to support complex enterprise workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.

After completing this course, participants will have the skills to:

• Apply Gemini 3’s reasoning capabilities to enterprise planning and decision workflows.
• Design multimodal processes incorporating text, images, documents, and tabular data.
• Develop business workflows using AI Studio and Vertex AI tools.
• Optimize outputs through prompt engineering and iterative refinement techniques.

Format of the Course

• Guided demonstrations supported by expert explanations.
• Practical exercises focused on workflow design and multimodal tasks.
• Hands-on experimentation in AI Studio or Vertex AI environments.

Course Customization Options

• If your organization requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.

This instructor-led, live training in the Netherlands (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 completion 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, offered the Netherlands (online or onsite), is tailored for intermediate-level content creators seeking to enhance their output quality and efficiency using Google Gemini AI.

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 the Netherlands (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 the Netherlands (online or onsite) is designed for beginner to intermediate-level 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 basics of Google Gemini AI.
• Connect different 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 intelligent applications that are context-aware.

This instructor-led training session, available either online or on-site, is designed for developers at beginner to intermediate levels who want to gain practical experience with AI concepts using Google Gemini AI. The course emphasizes learning through hands-on projects, real-world case studies, and collaborative exercises.

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

• Effectively setting up and utilizing Google Gemini AI along with its associated tools.
• Creating AI-powered applications that process both text and image inputs.
• Utilizing NotebookLM for practical AI workflows and document-based reasoning tasks.
• Working within small groups to design and deploy functional AI prototypes.

Course Format

• Interactive lectures combined with guided discussions.
• Hands-on lab exercises and collaborative project work.
• Practical assignments involving Google Gemini AI and NotebookLM.

Customization Options for the Course

• For organizations seeking tailored training, please contact us to make arrangements.

This instructor-led live training in the Netherlands (online or on-site) is designed for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, assist with research, and enhance productivity through advanced AI interactions.

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

• Craft more effective and customized 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 streamlined large language model framework crafted to deliver efficient, cost-effective solutions for real-world implementation across both consumer devices and enterprise settings.

This guided training session, available either online or at your location, targets professionals at the beginner level who aim to grasp how lightweight LLMs can be effectively deployed for practical, device-based, and budget-friendly applications.

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

• Articulate the foundational principles of lightweight LLMs and the Nano Banana framework.
• Recognize suitable scenarios for deploying AI on devices with minimal cost implications.
• Assess the applicability of Nano Banana within various business and IT contexts.
• Formulate well-informed choices regarding integration strategies for their respective organizations.

Course Delivery Format

• Explanations from the instructor, facilitated through interactive engagement.
• Practical tasks designed to solidify core concepts.
• Direct experience with the capabilities of lightweight LLMs.

Customization Availability

• To arrange a customized version of this training, please get in touch with us to tailor the program to your needs.

Gemini 3 is a multimodal AI platform capable of processing and reasoning across images, video, audio, and text.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and build applications that take advantage of Gemini 3’s cross-modal intelligence.

Upon completion of this workshop, participants will gain the ability to:

• Integrate Gemini 3 multimodal endpoints into real-world workflows.
• Process and interpret visual, audio, video, and text inputs in unified pipelines.
• Build interactive prototypes using multimodal prompts.
• Optimize multimodal outputs for performance, accuracy, and usability.

Format of the Course

• Guided lectures with demonstrations.
• Scenario-based exercises and hands-on practice.
• Practical implementation using live development environments.

Course Customization Options

• For tailored content or custom project-based training, please contact us to arrange.

Nano Banana is a streamlined AI framework tailored for efficient on-device model execution on Android.

This instructor-led live training (available online or onsite) targets beginner to intermediate Android developers looking to embed optimized AI capabilities directly into their mobile applications.

After finishing this training, participants will be capable of:

• Integrating the Nano Banana SDK into Android Studio projects.
• Implementing real-time AI inference via Nano Banana APIs.
• Optimizing model performance for resource-constrained mobile environments.
• Applying best practices for secure, privacy-preserving on-device AI.

Course Format

• Guided presentations and collaborative discussions.
• Practical coding exercises to reinforce core concepts.
• Hands-on implementation using real-world Android examples.

Course Customization Options

• For tailored versions of this course, please reach out to arrange a customized program.

Nano Banana is an on-device AI framework designed to run models locally while maintaining strict privacy and regulatory compliance.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to implement privacy-preserving AI features on mobile devices using Nano Banana for regulated or sensitive environments.

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

• Build mobile applications that process data privately on-device.
• Integrate Nano Banana to enable compliant AI workflows.
• Apply privacy-enhancing techniques such as anonymization and secure processing.
• Evaluate and mitigate privacy risks during mobile AI development.

Format of the Course

• Guided instruction supported by discussion and Q&A.
• Practical exercises involving privacy-focused mobile AI scenarios.
• Hands-on implementation within a real development environment.

Course Customization Options

• For organization-specific needs or sector-specific compliance topics, please contact us to customize this program.