Agentic Development with Gemini 3 and Google Antigravity Training Course

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

This instructor-led training, available both online and onsite, targets advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

• Design long-term memory structures for agent persistence.
• Implement effective feedback loops to shape agent behavior.
• Evaluate learning trajectories and model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Format of the Course

• Expert-led discussion paired with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Course Customization Options

• If your organization requires tailored content or case-specific examples, please contact us to customize this training.

Nano Banana is a specialized model optimised 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 programme, attendees should be able to:

• Implement Nano Banana models directly on mobile devices.
• Optimise 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 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 designed to accelerate and compress models for efficient on-device and edge deployment.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to optimize, compress, and deploy AI models for edge environments using Nano Banana.

By the end of this program, participants will be equipped with the following capabilities:

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

Format of the Course

• Instructor-led technical sessions and guided discussion.
• Hands-on exercises using real-world edge-AI scenarios.
• Practical implementation using a configured live environment.

Course Customization Options

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

Antigravity serves as a development platform tailored for creating AI-driven, agent-first applications.

This instructor-led live training, available online or onsite, is designed for intermediate developers looking to build real-world applications using autonomous AI agents within the Antigravity ecosystem.

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

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

Course Format

• A blend of presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work conducted within the Antigravity live environment.

Course Customization Options

• For tailored content that aligns with your specific development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-centric development environment designed to streamline engineering workflows through intelligent automation.

This instructor-led, live training (online or onsite) targets beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity.

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

• Install and configure Google Antigravity.
• Navigate and understand both the Editor View and Manager View.
• Work effectively with agents to automate simple development tasks.
• Use Antigravity to generate, refine, and manage project files.

Format of the Course

• Instructor explanations supported by real-time demonstrations.
• Guided exercises focused on hands-on use of agents.
• Practical exploration of core Antigravity features in a controlled lab environment.

Course Customization Options

• If you require a tailored version of this training, please contact us to arrange a customized program.

Google Antigravity serves as a robust platform for developing agents that interact seamlessly with web applications, browser environments, and multi-surface workflows.

This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing this training, participants will be equipped to:

• Develop agents capable of interacting with web applications within a browser interface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent performance in UI-driven environments.
• Implement automation strategies that span multiple surfaces using Antigravity.

Course Format

• Guided instruction complemented by live demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Customization Options

• For bespoke training requirements, kindly reach out to us to tailor the course content to your specific objectives.

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 online or onsite) is tailored for advanced professionals looking 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 resolve intricate, multi-layered challenges.
• Construct reasoning pipelines that incorporate long-context analysis.
• Refine prompts for iterative, multi-step reasoning tasks.
• Seamlessly integrate Deep-Think capabilities into research or production workflows.

Course Format

• Expert-led presentations enriched with real-world examples.
• Hands-on reasoning labs and structured exercises.
• Practical 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, thereby supporting complex enterprise workflows.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals looking to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.

Upon 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.

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

This instructor-led live training, available either online or onsite, is specifically tailored for beginner-level users looking to harness Gemini 3 to streamline their research, planning, analysis, and daily knowledge work.

Throughout the course, participants will acquire the necessary skills to:

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

Course Format

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

Course Customization Options

• For customized training adapted to your specific workflows, please contact us to discuss available options.

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

Upon completing this training, participants will be able to:

• Grasp the fundamentals of large language models.
• Set up and utilize 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 within Google Gemini AI.

This instructor-led, live training in Nigeria (online or onsite) targets intermediate-level content creators looking to leverage Google Gemini AI to improve their content quality and efficiency.

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

• Grasp the role of AI in content creation.
• Configure and use Google Gemini AI to generate and refine content.
• Apply text-to-text transformations to create unique and engaging content.
• Deploy SEO strategies informed by AI-driven insights.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Nigeria (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 Nigeria (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:

• Grasp the fundamentals of Google Gemini AI.
• Connect diverse data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and extract insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

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

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

Upon completion of this training, participants will gain the skills to:

• Configure agent responsibilities and orchestration pipelines within the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions remain transparent and auditable.
• Optimize multi-agent collaboration for complex development and operational tasks.

Format of the Course

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

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

Antigravity is a framework designed to represent advanced agent-driven development workflows.

This instructor-led live training, available online or onsite, targets intermediate to advanced professionals seeking to verify, validate, and secure the output generated by AI agents operating within Antigravity environments.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts generated by agents.
• Employ structured techniques to verify tasks executed by agents.
• Analyse browser recordings and trace agent activity effectively.
• Apply QA and security principles to ensure the reliability of agent workflows.

Course Format

• 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

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• Scenarios, workflows, and testing examples can be adapted upon request.