Agentic Development with Gemini 3 and Google Antigravity Training Course

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

This instructor-led, live training (available online or on-site) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods. The course is particularly relevant for government agencies seeking to enhance their capabilities in this domain.

Upon completing this course, participants will gain 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 for Government

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

Antigravity is a development platform designed for building AI-driven, agent-first applications.

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

Upon completing this training, participants will be equipped to:

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

Format of the Course

• A combination of presentations and detailed demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work within the live Antigravity environment.

Course Customization Options

• For tailored content aligned with your specific development stack, please contact us to arrange a customized version of this training for government or organizational needs.

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

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 in a public sector context.

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

• Install and configure Google Antigravity for government systems.
• Navigate and understand both the Editor View and Manager View within the platform.
• Work effectively with agents to automate simple development tasks in a government setting.
• Use Antigravity to generate, refine, and manage project files for government projects.

Format of the Course

• Instructor explanations supported by real-time demonstrations tailored to public sector workflows.
• Guided exercises focused on hands-on use of agents in a government context.
• Practical exploration of core Antigravity features in a controlled lab environment that simulates government scenarios.

Course Customization Options

• If you require a tailored version of this training to better align with specific government needs, 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 for government. 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 for government. Upon completion of the training, participants will be able to: - Create agents that interact with web applications in a browser environment. - Automate end-to-end workflows across various browser contexts. - Validate and troubleshoot agent behavior in UI-driven environments. - Implement cross-surface automation strategies using Antigravity for government. **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 specific objectives for government.

Gemini 3 is an advanced multimodal AI system designed to support in-depth reasoning, high-context tasks, and extended analytical workflows for government. This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to leverage Deep-Think Mode to conduct complex analysis, modeling, and strategic planning. By completing this course, participants will be equipped to: - Apply Deep-Think Mode to solve intricate, multi-layered problems. - Design reasoning pipelines that incorporate long-context analysis. - Optimize prompts for iterative, multi-step reasoning tasks. - Integrate Deep-Think capabilities into research or production workflows for government. **Format of the Course** - Expert-led presentations with real examples. - Hands-on reasoning labs and structured exercises. - Applied development using live experimentation environments. **Course 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 workflows for government and enterprise environments. 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 their organizations. Upon completing this course, participants will have the skills to: - Apply Gemini 3’s reasoning capabilities to planning and decision-making workflows. - Design multimodal processes that incorporate 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 for government and enterprise needs.

This instructor-led, live training (online or onsite) is designed for government developers at the beginner to intermediate level who wish to integrate artificial intelligence functionalities into their applications using Google Gemini AI. By the end of this training, participants will be able to: - Understand the foundational principles 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 for government use.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level content creators who wish to leverage Google Gemini AI to improve the quality and efficiency of their work. By the end of this training, participants will be able to: - Understand the role of artificial intelligence in content creation. - Set up and utilize Google Gemini AI to generate and optimize content. - Apply text-to-text transformations to produce creative and original content. - Implement search engine optimization (SEO) strategies using AI-driven insights. - Analyze content performance and adapt strategies using Gemini AI, ensuring alignment with public sector workflows for government.

This instructor-led, live training (available online or on-site) is designed for intermediate-level customer service professionals who are interested in implementing Google Gemini AI in their operations. By the end of this training, participants will be able to: - Understand the impact of artificial intelligence on customer service. - Set up Google Gemini AI to automate and personalize customer interactions. - Utilize text-to-text and image-to-text transformations to enhance service efficiency. - Develop AI-driven strategies for analyzing real-time customer feedback. - Explore advanced features to create a seamless customer service experience, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training in [location] (online or onsite) is designed for government and beginner to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively using Google Gemini AI across various sectors. 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 actionable insights. - Create compelling data visualizations for government use. - Communicate data-driven insights effectively.

The Google Gemini AI is a state-of-the-art large language model that provides advanced artificial intelligence capabilities such as natural language understanding, text generation, and multimodal processing. This enables developers to create intelligent and context-aware applications tailored for government use.

This instructor-led, live training (available online or onsite) is designed for beginner-level to intermediate-level developers who aim to apply AI concepts using Google Gemini AI through hands-on projects, real-world examples, and collaborative exercises.

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

• Set up and effectively use Google Gemini AI and related tools.
• Develop AI-driven applications that utilize text and image inputs.
• Leverage NotebookLM for practical AI workflows and document-based reasoning in a government context.
• Collaborate in small groups to design and deploy functional AI prototypes.

Format of the Course

• Interactive lectures and guided discussions.
• Hands-on lab exercises and collaborative projects.
• Practical assignments using Google Gemini AI and NotebookLM for government applications.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level public sector professionals who aim to utilize Gemini to produce high-quality content, support research efforts, and enhance productivity through advanced AI interactions. By the end of this training, participants will be able to: - Develop more effective and tailored prompts for specific use cases. - Generate original and creative content using Gemini. - Summarize and compare complex information with accuracy. - Use Gemini for brainstorming, planning, and organizing ideas efficiently, aligning with public sector workflows and governance standards for government.

Gemini 3 is a multimodal AI platform designed to process and reason across images, video, audio, and text. This instructor-led, live training (available online or on-site) is targeted at intermediate-level practitioners who aim to design and build applications that leverage Gemini 3’s cross-modal intelligence for government use. Upon completion of this workshop, participants will be able 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.

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

This instructor-led, live training (available online or onsite) is targeted at intermediate-level professionals who aim 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 using the Manager interface.
• Generate and interpret Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure that agent actions are 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-world 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 for government use.

Antigravity is a framework designed to support 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 generated by AI agents operating within Antigravity-driven environments for government use.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by AI agents.
• Employ structured techniques to verify tasks executed by AI agents.
• Effectively analyze browser recordings and trace agent activity.
• Apply quality assurance 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-world agent workflows.
• Hands-on testing and validation within a controlled laboratory environment.

Course Customization Options

• Scenarios, workflows, and testing examples can be tailored to specific needs upon request.