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

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

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

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in 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 execution of AI workloads on device.

This instructor-led, live training session (available online or onsite) is tailored for intermediate-level practitioners looking to design and deploy AI-powered mobile applications using Nano Banana, eliminating the need for cloud infrastructure.

Upon completion of this programme, attendees will be able to:

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

Course Format

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

Course Customisation Options

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

Nano Banana is a lightweight AI framework engineered to accelerate and compress models for efficient deployment on edge devices.

This instructor-led live training session, available online or onsite, is designed for intermediate to advanced professionals seeking to optimise, compress, and deploy AI models within edge environments using Nano Banana.

Upon completion of the course, learners will be equipped to:

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

Course Format

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

Customisation Options

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

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, handle high-context tasks, and support long-form analytical workflows.

This instructor-led live training, available both online and onsite, is tailored for advanced professionals seeking to harness Deep-Think Mode for complex analysis, modelling, and strategic planning.

Upon completing this course, participants will be able to:

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

Course Format

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

Course Customisation Options

• Customised 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 organisation requires tailored workflow scenarios or data integration examples, please contact us to adapt the training.

This instructor-led, live training in Australia (online or onsite) is designed for beginner to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.

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

• Grasp the core concepts of large language models.
• Configure and utilise Google Gemini AI for various AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop basic AI-driven applications.
• Explore advanced features and customisation options within Google Gemini AI.

This instructor-led live training in Australia (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 Australia (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 Australia (online or onsite) is designed for 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.

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.
• Analyse data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

Google Gemini AI is a state-of-the-art large language model that provides advanced AI capabilities, including natural language understanding, text generation, and multimodal processing. This empowers developers to create intelligent, context-aware applications.

This instructor-led live training, available online or on-site, targets beginner to intermediate developers keen to apply AI concepts practically using Google Gemini AI. The course involves hands-on projects, real-world examples, and collaborative exercises.

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

• Effectively set up and utilise Google Gemini AI along with related tools.
• Develop AI-driven applications utilising both text and image inputs.
• Utilise NotebookLM for practical AI workflows and document-based reasoning.
• Work collaboratively in small groups to design and deploy functional AI prototypes.

Course Format

• Interactive lectures and guided discussions.
• Hands-on lab exercises and collaborative projects.
• Practical assignments using Google Gemini AI and NotebookLM.

Course Customization Options

• To request a customized training session for this course, please contact us to arrange details.

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level public sector professionals who wish to use Gemini to generate high-quality content, assist with research, and improve productivity through more 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 designed to deliver efficient, cost-effective solutions for real-world use across both consumer devices and enterprise environments.

This instructor-led live training (available online or onsite) is tailored for beginner-level professionals keen to grasp how lightweight LLMs can be deployed for practical, on-device, and cost-efficient applications.

Upon completing this course, participants will be able to:

• Articulate the fundamental concepts behind lightweight LLMs and Nano Banana.
• Identify suitable scenarios for on-device and low-cost AI deployment.
• Assess Nano Banana's capabilities in the context of business and IT needs.
• Make well-informed decisions regarding integration pathways within their organisation.

Course Format

• Instructor-led explanations supported by interactive dialogue.
• Practical exercises to reinforce key concepts.
• Hands-on exploration of lightweight LLM capabilities.

Course Customisation Options

• For bespoke versions of this training, please contact us to customise the program.

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 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 engineered to execute models locally while ensuring stringent privacy standards and regulatory adherence.

This instructor-led training, available online or onsite, targets beginner to intermediate-level professionals seeking to implement privacy-preserving AI capabilities on mobile devices within regulated or sensitive environments using Nano Banana.

Upon completing this training, participants will be equipped to:

• Develop mobile applications that process data privately on the device.
• Integrate Nano Banana to facilitate compliant AI workflows.
• Apply privacy-enhancing techniques, including anonymisation and secure processing.
• Assess and mitigate privacy risks during mobile AI development.

Course Format

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

Customisation Options

• For organisation-specific requirements or sector-specific compliance topics, please contact us to tailor this programme.