Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity serves as a sophisticated framework for experimenting with persistent agents and emergent interactive behaviors.

This instructor-led training session, available online or onsite, is designed for advanced professionals aiming to design, analyze, and optimize agents that can retain memories, enhance performance through feedback, and evolve over extended operational periods.

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

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

Course Format

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

Customization Options

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

Nano Banana is a specialised model engineered for swift and efficient on-device AI execution.

This instructor-led, live training (available online or onsite) is designed for intermediate-level practitioners who wish to architect and deploy AI-powered mobile applications using Nano Banana, without depending on cloud infrastructure.

Upon completing this programme, attendees should be able to:

• Deploy Nano Banana models directly on mobile devices.
• Optimise AI workloads for enhanced 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 focused on real-world use cases.
• Hands-on development and testing within a live mobile environment.

Course Customisation Options

• If you require a bespoke 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.

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 serves as a specialized development platform engineered for creating AI-driven, agent-centric applications.

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

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

• Developing applications that leverage autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Orchestrating multi-agent workflows via the Agent Manager.
• Embedding agent functionalities into robust, production-grade software systems.

Course Format

• A blend of presentations with in-depth technical demonstrations.
• Ample hands-on practice coupled with guided exercises.
• Real-world implementation tasks within the live Antigravity environment.

Customization Options for the Course

• For content tailored to align with your specific development stack, please reach out to us to organize a customized version of this training.

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

This instructor-led, live training (available online or onsite) targets beginner-level practitioners keen to grasp the fundamentals of Antigravity and comprehend how agent-driven coding environments boost productivity.

Upon completing this training, participants will be equipped to:

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

Course Format

• Instructor-led explanations backed by real-time demonstrations.
• Guided exercises emphasising hands-on interaction with agents.
• Practical exploration of core Antigravity features within a controlled lab environment.

Customisation Options

• Should you require a bespoke version of this training, please contact us to organise a customised programme.

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 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, manage high-context tasks, and support extensive analytical workflows.

This instructor-led live training (available online or onsite) is tailored for advanced professionals seeking to harness Deep-Think Mode for complex analysis, modelling, and strategic planning.

Upon completing this course, participants will be able to:

• Utilise Deep-Think Mode to resolve intricate, multi-layered problems.
• Design reasoning pipelines that incorporate long-context analysis.
• Optimise prompts for iterative, multi-step reasoning tasks.
• Integrate Deep-Think capabilities into research or production workflows.

Course Format

• Expert-led presentations accompanied by real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development using live experimentation environments.

Customisation Options

• Customised 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 facilitate complex enterprise workflows.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals eager to construct reasoning-driven and multimodal workflows using Gemini 3 within enterprise settings.

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

• Leverage Gemini 3’s reasoning capabilities for enterprise planning and decision-making workflows.
• Design multimodal processes that incorporate text, images, documents, and tabular data.
• Develop business workflows utilizing AI Studio and Vertex AI tools.
• Optimize outputs through prompt engineering and iterative refinement techniques.

Format of the Course

• Guided demonstrations enriched by expert explanations.
• Practical exercises centered on workflow design and multimodal tasks.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Course Customization Options

• If your organization requires tailored workflow scenarios or data integration examples, please get in touch to adapt the training.

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

This instructor-led training, available both online and onsite, targets beginner-level users who want to use Gemini 3 to streamline their research, planning, analysis, and daily knowledge tasks.

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

• Leverage Gemini 3’s AI Mode to speed up research and information discovery.
• Utilise Gemini-assisted workflows to summarise content and extract key insights.
• Seamlessly integrate Gemini 3 features into everyday productivity routines.
• Adopt best practices for the responsible and reliable use of AI tools.

Course Format

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

Course Customization Options

• For tailored training adapted to your specific workflows, please contact us to discuss customization options.

This instructor-led, live training in India (online or onsite) is designed for developers at the beginner to intermediate level who wish 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.
• Develop basic AI-driven applications.
• Explore advanced features and customization options in Google Gemini AI.

This instructor-led, live training in India (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 India (online or onsite) is designed for intermediate-level customer service professionals aiming to implement Google Gemini AI within their support operations.

By the conclusion 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 India (online or onsite) is aimed at beginner-level to intermediate-level 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:

• 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 insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

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

This instructor-led training session, available either 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 via the Manager interface.
• Generating and interpreting Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Implementing verification strategies to maintain transparency and auditability of agent actions.
• Optimizing multi-agent collaboration for complex development and operational tasks.

Course Format

• Guided presentations combined with practical demonstrations.
• Scenario-based exercises focused on 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 us to discuss specific requirements.

Antigravity is a framework that represents 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 produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyze browser recordings and trace agent activity effectively.
• Apply QA 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 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.