Getting Started with Google Gemini AI Training Course

Google Antigravity serves as an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.

This instructor-led, live training (available online or onsite) targets advanced-level technical professionals looking 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 analyse tasks, generate code, and interact with various tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimise agent behaviour, safety, and reliability in complex environments.

Course Format

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

Course Customization Options

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

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

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

Upon completing this program, attendees should be able to:

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

Course Format

• 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 engineered to accelerate and compress models, enabling efficient deployment on devices and edge infrastructure.

This instructor-led live 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 able to:

• Implement compression and quantization techniques on AI models.
• Enhance inference performance for edge devices.
• Utilize Nano Banana’s toolchain to convert and deploy models.
• Assess trade-offs regarding accuracy, latency, and resource consumption.

Course Format

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

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, handle high-context tasks, and support extensive analytical workflows.

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

Upon completion, participants will be able to:

• Utilise Deep-Think Mode to address intricate, multi-layered challenges.
• Construct reasoning pipelines that effectively incorporate long-context analysis.
• Optimise prompts for iterative, multi-step reasoning tasks.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Format

• Presentations by experts accompanied by real-world examples.
• Practical 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 artificial intelligence model engineered to reason across text, images, and structured data, thereby supporting intricate enterprise workflows.

This instructor-led, live training session (available online or onsite) targets intermediate-level professionals seeking to construct reasoning-driven and multimodal workflows using Gemini 3 within corporate settings.

Upon completing this course, participants will acquire the skills to:

• Leverage Gemini 3’s reasoning capabilities for enterprise planning and decision-making processes.
• Design multimodal processes that integrate text, images, documents, and tabular data.
• Develop business workflows utilizing AI Studio and Vertex AI tools.
• Enhance outputs through prompt engineering and iterative refinement methods.

Course Format

• Guided demonstrations accompanied by expert insights.
• Practical exercises concentrated on workflow design and multimodal tasks.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Course Customization Options

• Should your organization require customized workflow scenarios or data integration examples, please reach out to us to tailor the training accordingly.

Gemini 3 is an artificial intelligence-driven system designed to boost Google Search capabilities and workplace productivity through its AI Mode feature.

This instructor-led, live training (available online or onsite) targets beginner-level users who want to harness Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Through this training, participants will develop the skills to:

• Utilize Gemini 3 in AI Mode to speed up research and information discovery.
• Apply Gemini-assisted workflows to summarize content and extract key insights.
• Integrate Gemini 3 features into everyday productivity tasks.
• Adopt best practices for the responsible and reliable use of AI tools.

Format of the Course

• Instructor-guided presentations and demonstrations.
• Structured hands-on exercises for practical skill building.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

• For tailored training adapted to your workflows, please contact us to discuss customization options.

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

By the conclusion of this training, participants will be capable of:

• Comprehending the basics of large language models.
• Setting up and leveraging Google Gemini AI for diverse AI tasks.
• Executing text-to-text and image-to-text transformations.
• Constructing basic AI-driven applications.
• Exploring advanced features and customization options in Google Gemini AI.

This live, instructor-led training in Kenya (available online or onsite) is designed for intermediate-level content creators who want to harness Google Gemini AI to improve their content quality and productivity.

Upon completion 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.
• Execute text-to-text transformations to craft unique and innovative content.
• Deploy SEO strategies informed by AI-generated insights.
• Evaluate content performance and refine strategies using Gemini AI capabilities.

This instructor-led, live training in Kenya (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 Kenya (online or onsite) is aimed at beginner-level to intermediate-level 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.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate 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 streamlined framework for large language models, built to enable efficient and affordable deployment of AI solutions on consumer devices and within enterprise settings.

This instructor-led training session, available both online and in-person, targets beginner-level professionals seeking to grasp the fundamentals of deploying lightweight LLMs for cost-effective and practical on-device applications.

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

• Articulate the foundational principles of lightweight LLMs and the Nano Banana framework.
• Recognize suitable scenarios for implementing low-cost, on-device AI solutions.
• Assess the potential of Nano Banana for various business and IT contexts.
• Make well-informed choices regarding AI integration strategies within their organizations.

Course Structure

• Guided instruction complemented by interactive discussion.
• Practical exercises designed to solidify core concepts.
• Experiential learning focused on the capabilities of lightweight LLMs.

Customization Opportunities

• For bespoke versions of this training program, please reach out to us to tailor the content to your specific 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 engineered for efficient on-device model execution on Android platforms.

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

Upon completing this course, participants will be equipped to:

• Integrate the Nano Banana SDK into Android Studio projects.
• Implement real-time AI inference using Nano Banana APIs.
• Optimize model performance for resource-constrained mobile environments.
• Apply 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 engineered to execute models locally, ensuring strict adherence to privacy standards and regulatory compliance.

This instructor-led live training, available both online and onsite, is designed for professionals ranging from beginner to intermediate levels who aim to integrate privacy-preserving AI capabilities into mobile applications, particularly within regulated or sensitive sectors.

Upon completing this training, participants will be capable of:

• Developing mobile applications that process data privately on the device.
• Integrating Nano Banana to facilitate compliant AI workflows.
• Applying privacy-enhancing techniques, such as anonymization and secure data processing.
• Identifying and mitigating privacy risks during the mobile AI development lifecycle.

Course Format

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

Customization Options

• For organization-specific requirements or industry-specific compliance topics, please contact us to tailor this program.