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 live training, available either online or onsite, targets advanced professionals who aim 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 acquire the skills to:

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

Format of the Course

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts within 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 engineered for rapid and efficient on-device AI execution.

This instructor-led, live training session (available online or in-person) targets intermediate-level practitioners looking to design and deploy AI-powered mobile applications using Nano Banana, independent of cloud infrastructure.

Upon completing this program, participants will be able 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-guided demonstrations coupled with collaborative discussion.
• Practical exercises focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customization Options

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

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

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

Upon completion of this program, participants will be equipped to:

• Implement compression and quantization methodologies for AI models.
• Enhance inference performance on edge devices.
• Convert and deploy models leveraging Nano Banana’s toolchain.
• Assess the trade-offs regarding accuracy, latency, and resource consumption.

Course Format

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

Customization Options

• For customized content or adaptations tailored to your organization, please contact us to arrange a specific version of this course.

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

This instructor-led live training, available either online or on-site, targets intermediate-level developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

• Develop applications that depend on coordinated and autonomous AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Handle multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into production-ready software systems.

Course Format

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

Course Customization Options

• For 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 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 is a platform designed for building agents capable of interacting with web applications, browser environments, and multi-surface workflows.

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

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

• Create agents that interact with web applications in 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.

Format of the Course

• 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 extensive analytical workflows.

This instructor-led live training (available online or 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 address 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 environments.

Course Format

• Expert-led presentations supported by real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development through 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 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 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 productivity in Google Search and professional environments via its AI Mode feature.

This instructor-led training, available both online and onsite, is tailored for beginner-level users seeking to harness Gemini 3 to streamline research, planning, analysis, and everyday knowledge tasks.

By the end of this training, participants will acquire the skills to:

• Utilize Gemini 3 in AI Mode to speed up research and information retrieval.
• Implement Gemini-assisted workflows for summarizing content and extracting key insights.
• Seamlessly integrate Gemini 3 capabilities into daily productivity routines.
• Adopt best practices for the responsible and reliable use of AI tools.

Course Format

• Instructor-led presentations and live demonstrations.
• Structured hands-on exercises designed to build practical skills.
• Real-world applications utilizing live search and productivity scenarios.

Customization Options

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

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

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

• Grasp the fundamentals of large language models.
• Set up and utilize Google Gemini AI for a variety of AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This instructor-led, live training in Czech Republic (online or onsite) is designed for intermediate-level content creators who aim to use Google Gemini AI to boost their content quality and operational efficiency.

By the end 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.
• Employ text-to-text transformations to craft original and creative material.
• Deploy SEO strategies informed by AI-driven data.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Czech Republic (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 Czech Republic (online or on-site) targets 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 completing 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 engaging data visualizations.
• Effectively communicate data-driven insights.

Google Antigravity serves as a platform centered around agents, designed to orchestrate, oversee, and coordinate AI-powered coding and automation processes.

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

After completing this training, participants will acquire the ability to:

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and analyze Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Apply verification strategies to maintain transparency and auditability of agent actions.
• Enhance collaboration among multiple agents to handle complex development and operational tasks.

Course Format

• Guided presentations combined 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 reach out to discuss specific customization needs.

Antigravity is a framework designed for advanced workflows driven by autonomous agents.

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

After completing this training, participants will be capable of:

• Evaluating the accuracy and safety of code artifacts produced by agents.
• Employing structured techniques to verify tasks executed by agents.
• Effectively analyzing browser recordings and tracing agent activity.
• Applying QA and security principles to ensure the reliability of agent-driven workflows.

Course Format

• Instructor-led technical briefings and discussions.
• Practical exercises focused on verifying real-world agent workflows.
• Hands-on testing and validation conducted in a controlled lab environment.

Course Customization Options

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