Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity serves as an advanced framework for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training, available online or onsite, is designed for advanced professionals who want to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods.

Upon completing this course, participants will be able to:

• Design memory structures that ensure agent persistence.
• Implement feedback loops to effectively guide agent behavior.
• Evaluate learning trajectories and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Practical application of concepts within simulated agent environments.

Customization Options

• For organizations requiring tailored content or specific case studies, please contact us to arrange customized training.

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.

Antigravity is a development platform engineered for constructing AI-driven, agent-first applications.

This instructor-led, live training (available online or onsite) targets intermediate-level developers seeking to build real-world applications using autonomous AI agents within the Antigravity environment.

Upon completing this training, participants will be able to:

• Develop applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows using the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Course Format

• Blended presentations accompanied by in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work within the Antigravity live environment.

Course Customization Options

• To secure tailored content aligned with your specific development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-first development environment built to streamline engineering workflows via intelligent automation.

This instructor-led live training, available either online or onsite, is designed for beginners who want to discover the basics of Antigravity and learn how agent-driven coding environments can boost productivity.

After completing this training, participants will be able to:

• Install and set up Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View.
• Collaborate effectively with agents to automate straightforward development tasks.
• Leverage Antigravity to generate, refine, and manage project files.

Course Format

• Instructor explanations complemented by real-time demonstrations.
• Guided exercises focusing on practical use of agents.
• Hands-on exploration of core Antigravity features within a controlled lab environment.

Course Customization Options

• For a customized version of this training, please reach out to us to arrange a tailored program.

Google Antigravity is a platform designed for creating agents that can interact with web applications, browser environments, and workflows spanning multiple surfaces.

This instructor-led live training, available both online and onsite, targets intermediate-level professionals who want to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be able to:

• Develop agents that interact with web applications within a browser interface.
• Automate end-to-end workflows across different browser contexts.
• Validate and troubleshoot agent behaviour in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Course Format

• Guided instruction complemented by practical demonstrations.
• Hands-on exercises and scenario-based activities.
• Implementation of agent workflows in an interactive lab environment.

Course Customization Options

• For customized training requirements, please contact us to tailor the course to your objectives.

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.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

Upon completion of this training, participants will acquire the following competencies:

• Configure agent responsibilities and orchestration pipelines via the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to maintain transparency and audibility in agent actions.
• Optimize collaboration among multiple agents to handle complex development and operational tasks.

Course Format

• Guided presentations coupled with practical demonstrations.
• Scenario-based exercises addressing real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• For a customized version of this course, please contact us to discuss specific customization options.

Antigravity is a framework that represents advanced agent-driven development workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request.