Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity serves as an advanced framework designed for experimenting with persistent agents and emerging interactive behaviors.

This instructor-led live training, available online or onsite, targets advanced professionals who aim to design, analyze, and optimize agents capable of retaining memories, refining their performance through feedback, and evolving over extended operational timelines.

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

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

Course Format

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

Customization Options

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

Nano Banana is a specialized model designed for rapid, efficient on-device AI execution.

This instructor-led training (available online or onsite) is tailored for intermediate practitioners aiming to design and deploy AI-powered mobile applications using Nano Banana without depending on cloud infrastructure.

Upon completing this program, participants will be able to:

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

Course Format

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

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 on-device and edge deployment.

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

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

• Apply compression and quantization techniques to AI models.
• Enhance inference performance for edge devices.
• Convert and deploy models leveraging Nano Banana’s toolchain.
• Assess the trade-offs between accuracy, latency, and resource consumption.

Course Format

• Instructor-led technical sessions accompanied by guided discussions.
• Hands-on exercises based on real-world edge-AI scenarios.
• Practical 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 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 represents a new generation of agent-centric development environments, engineered to optimize engineering processes through intelligent automation.

This live, instructor-led training (available online or at your location) is designed for beginners looking to grasp the fundamentals of Antigravity and discover how agent-driven coding environments can significantly boost productivity.

After completing this course, participants will be equipped to:

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

Course Format

• Instructor-led explanations accompanied by real-time demonstrations.
• Guided, hands-on exercises focused on practical agent usage.
• Practical exploration of core Antigravity features within a controlled lab environment.

Customization Options

• Need a version tailored to your specific needs? Please contact us to arrange a customized program.

Google Antigravity is a platform designed for creating 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.

Course Format

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

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 long-form analytical processes.

This live training, facilitated by an instructor and available either online or onsite, targets advanced professionals seeking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completion of this course, participants will gain the ability to:

• Utilize Deep-Think Mode to address intricate, multi-layered challenges.
• Construct reasoning pipelines that integrate long-context analysis.
• Refine prompts for iterative, multi-step reasoning activities.
• Seamlessly integrate Deep-Think capabilities into research or production workflows.

Course Format

• Expert-led presentations supported by real-world examples.
• 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 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 Google Search capabilities and enhance workplace productivity via AI Mode.

This instructor-led training, available either online or on-site, targets beginner-level users eager to utilize Gemini 3 to optimize research, planning, analysis, and everyday knowledge tasks.

By the end of this course, participants will acquire the competencies to:

• Leverage Gemini 3 in AI Mode to speed up research and information retrieval.
• Implement Gemini-supported workflows to summarize content and uncover key insights.
• Seamlessly integrate Gemini 3 functionalities into daily productivity routines.
• Adopt best practices for the ethical and reliable use of AI tools.

Course Format

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

Customization Options

• For training tailored to your specific workflows, please contact us to explore customization possibilities.

This instructor-led, live training in Argentina (online or onsite) is designed for beginner to intermediate-level developers who want 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 leverage Google Gemini AI for diverse AI tasks.
• Implement text-to-text and image-to-text transformations.
• Develop foundational AI-driven applications.
• Explore advanced features and customization options within Google Gemini AI.

This instructor-led, live training in Argentina (online or onsite) is designed for intermediate-level content creators who want to leverage Google Gemini AI to enhance both the quality and efficiency of their work.

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 Argentina (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 Argentina (online or onsite) targets data analysts and business professionals at beginner to intermediate levels who aim to perform complex data analysis tasks more intuitively across different industries using Google Gemini AI.

Upon completion of this training, participants will be capable of:

• Grasping the core principles of Google Gemini AI.
• Linking diverse data sources to Gemini AI.
• Exploring data through natural language queries.
• Analyzing data patterns and extracting valuable insights.
• Designing engaging data visualizations.
• Effectively communicating data-driven insights.

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

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

By the end of this training, participants will be equipped with 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 maintain transparency and auditability in agent actions.
• Optimize 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 a tailored version of this course, please contact us to discuss customization possibilities.

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 who want to verify, validate, and secure the outputs generated by AI agents operating within Antigravity-driven environments.

After completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and effectively trace agent activity.
• 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-world 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.