Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity serves as a sophisticated framework designed for experimenting with long-lived agents and emerging interactive behaviors.

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

Upon course completion, participants will be equipped to:

• Architect long-term memory structures to ensure agent persistence.
• Implement robust feedback loops to influence agent behavior.
• Assess learning trajectories and monitor for model drift.
• Integrate memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Course Customization Options

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

Nano Banana is a specialized model designed for high-speed, efficient AI execution directly on devices.

This instructor-led training session, available online or in-person, targets intermediate practitioners aiming to design and deploy AI-powered mobile applications using Nano Banana, entirely without reliance on cloud infrastructure.

Upon completing this program, participants will be equipped to:

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

Course Format

• Instructor-led demonstrations coupled with collaborative discussions.
• Practical exercises centered on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Customization Options

• For organizations requiring a customized version of this course, please reach out to discuss available customization 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.

At the conclusion of the program, learners will be able to:

• 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 is a development platform designed to build AI-driven, agent-first applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.

After completing this training, participants will be equipped to:

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

Format of the Course

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

Course Customization Options

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

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

This instructor-led, live training (online or onsite) is aimed at 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 platform for developing agents capable of interacting with web applications, browser environments, and multi-surface workflows.

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

Upon completing the training, participants will be able to:

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

Course Format

• Guided instruction supported by demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• 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, high-context tasks, and comprehensive analytical workflows.

This instructor-led live training, available both online and 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 resolve intricate, multi-layered challenges.
• Construct reasoning pipelines that effectively incorporate long-context analysis.
• Refine prompts to enhance iterative, multi-step reasoning processes.
• Seamlessly integrate Deep-Think capabilities into research or production environments.

Course Format

• Expert-led sessions featuring real-world case studies.
• 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 engineered to reason across text, images, and structured inputs to support complex enterprise workflows.

This instructor-led, live training (available 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.

Gemini 3 is an AI-powered system that enhances Google Search and workplace productivity through AI Mode.

This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to leverage Gemini 3 to streamline research, planning, analysis, and daily knowledge work.

Throughout this training, participants will gain the skills needed to:

• Use Gemini 3 in AI Mode to accelerate research and information discovery.
• Apply Gemini-assisted workflows to summarize content and extract insights.
• Integrate Gemini 3 features into everyday productivity tasks.
• Adopt best practices for 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 South Korea (online or onsite) is designed for beginner to intermediate 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:

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

This instructor-led, live training in South Korea (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 South Korea (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.
• Configure 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 South Korea (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.

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

• Grasp the core fundamentals of Google Gemini AI.
• Integrate various data sources with Gemini AI.
• Explore datasets through natural language queries.
• Analyze data patterns and extract actionable insights.
• Develop compelling data visualizations.
• Effectively communicate data-driven insights.

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 online or on-site, targets intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

Upon completing this training, participants will acquire the following skills:

• Configuring agent responsibilities and orchestration pipelines through the Manager interface.
• Generating and interpreting Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implementing verification strategies to ensure that agent actions remain transparent and auditable.
• Optimizing multi-agent collaboration for 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 those requiring a tailored version of this course, please contact us to discuss customization possibilities.

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

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Apply structured methods to verify tasks executed by agents.
• Analyze browser recordings and effectively trace agent activities.
• Implement 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-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Customization Options

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