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

Google Antigravity serves as an agentic development environment designed to construct autonomous agents capable of planning, reasoning, coding, and acting through the multimodal capabilities of Gemini 3.

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

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows leveraging Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyze tasks, write code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability within complex environments.

Format of the Course

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

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) targets intermediate-level practitioners who want to design and deploy AI-powered mobile applications using Nano Banana without depending on cloud infrastructure.

Upon completing this program, attendees will be able to:

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

Course Format

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

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 edge infrastructure.

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

Upon completing the program, participants will be equipped to:

• Implement compression and quantization techniques on AI models.
• Boost inference performance for edge devices.
• Convert and deploy models leveraging Nano Banana’s toolchain.
• Assess trade-offs between accuracy, latency, and resource consumption.

Course Format

• Instructor-led technical sessions accompanied by 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 a sophisticated multimodal AI system engineered to facilitate deep reasoning, high-context tasks, and extensive analytical workflows.

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

Upon completing this course, participants will be able to:

• Utilize Deep-Think Mode to address intricate, multi-layered challenges.
• Construct reasoning pipelines that leverage long-context analysis.
• Refine prompts for effective iterative, multi-step reasoning.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Format

• Expert-led sessions featuring real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development through live experimentation environments.

Customization Options

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

Gemini 3 is a multimodal AI model designed 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 Turkey (online or onsite) is tailored for beginner to intermediate developers aiming to integrate AI functionalities into their applications using Google Gemini AI.

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

• Comprehend the fundamentals of large language models.
• Set up and employ Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Construct basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This instructor-led, live training in Turkey (online or onsite) targets intermediate-level content creators seeking to use Google Gemini AI to elevate their content quality and operational efficiency.

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

• Comprehend 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 unique and imaginative content.
• Deploy SEO strategies grounded in AI-driven insights.
• Evaluate content performance and adjust strategies effectively using Gemini AI.

This instructor-led, live training in Turkey (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 Turkey (online or onsite) is designed for beginner to intermediate data analysts and business professionals who want to execute 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 the forefront of large language models, delivering sophisticated AI functionalities such as natural language comprehension, content generation, and multimodal processing. These capabilities empower developers to create intelligent, context-sensitive applications.

This instructor-led training, available online or onsite, targets beginner to intermediate developers eager to apply AI concepts practically via Google Gemini AI. Through hands-on projects, real-world scenarios, and collaborative exercises, participants will gain practical experience.

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

• Effectively configuring and utilizing Google Gemini AI alongside related tools.
• Creating AI-powered applications that process both text and image inputs.
• Utilizing NotebookLM to streamline practical AI workflows and document-based reasoning.
• Working within small teams to design and launch functional AI prototypes.

Course Format

• Engaging lectures paired with guided discussions.
• Interactive lab exercises and collaborative projects.
• Practical assignments utilizing Google Gemini AI and NotebookLM.

Customization Options

• For tailored training arrangements, please reach out to us.

This live, instructor-led training in Turkey (online or onsite) is designed for intermediate-level public sector professionals who want to leverage Gemini for generating high-quality content, aiding in research, and enhancing productivity through more advanced AI interactions.

Upon completing this training, participants will be able to:

• Design more effective and customized prompts for specific scenarios.
• Produce original and inventive content using Gemini.
• Accurately summarize and compare intricate information.
• Utilize Gemini for efficient brainstorming, planning, and structuring of ideas.

Nano Banana represents a streamlined large language model framework, engineered for efficient, budget-friendly operation across both personal devices and enterprise settings.

This guided training session, available online or at your location, is tailored for professionals at the beginner level who aim to grasp the deployment of compact LLMs for practical, on-device, and cost-effective applications.

Upon completing this course, participants will be equipped to:

• Describe the fundamental principles behind compact LLMs and the Nano Banana framework.
• Recognize suitable scenarios for deploying AI on devices with minimal cost.
• Assess Nano Banana’s potential for addressing specific business and IT challenges.
• Formulate well-informed strategies for integrating these technologies within their organization.

Course Delivery Style

• Instructor-led explanations complemented by interactive engagement.
• Applied exercises designed to solidify understanding of core concepts.
• Practical exploration of compact LLM functionalities.

Customization Availability

• To arrange a customized version of this training, please reach out to us for program tailoring.

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 on-site, is designed for intermediate practitioners looking to design and develop applications that leverage Gemini 3’s advanced cross-modal intelligence.

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

• Seamlessly integrate Gemini 3 multimodal endpoints into practical workflows.
• Process and interpret unified pipelines of visual, audio, video, and text inputs.
• Develop interactive prototypes using multimodal prompts.
• Optimize multimodal outputs to enhance performance, accuracy, and user experience.

Course Format

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

Customization Options

• For customized content or project-based training, please reach out to us to arrange your specific needs.

Nano Banana is a lightweight AI framework designed for efficient on-device model execution on Android.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level Android developers who wish to integrate optimized AI capabilities directly into mobile applications.

Upon completing this training, participants will be able to:

• Integrate the Nano Banana SDK into Android Studio projects.
• Implement real-time AI inference using Nano Banana APIs.
• Optimize model performance for constrained mobile environments.
• Apply best practices for secure, privacy-preserving on-device AI.

Format of the Course

• 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.