Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity serves as an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

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

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

• Design memory structures that ensure agent persistence.
• Implement effective feedback loops to guide agent behavior.
• Assess learning progress and monitor model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts within simulated agent environments.

Customization Options

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

Nano Banana is a specialised model designed for rapid, efficient execution of AI tasks directly on devices.

This instructor-led live training session (available online or on-site) targets intermediate practitioners looking to design and deploy AI-driven mobile applications using Nano Banana, eliminating the need for cloud infrastructure.

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

• Deploy Nano Banana models directly onto mobile devices.
• Optimise AI workloads for peak performance and energy efficiency.
• Incorporate 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 centred on real-world scenarios.
• Hands-on development and testing within a live mobile environment.

Course Customisation Options

• For a bespoke version of this course, please contact us to discuss customisation possibilities.

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 specifically designed for constructing AI-driven, agent-first applications.

This instructor-led live training, available either online or onsite, is tailored for intermediate-level developers seeking to build practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be able to:

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

Format of the Course

• A blend of presentations with detailed, in-depth demonstrations.
• Extensive hands-on practice supported by guided exercises.
• Real-world implementation work conducted 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 serves as a platform designed for developing agents that interact with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals who want 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 scenarios, and execute long-form analytical processes.

This instructor-led live training, available either online or onsite, targets advanced professionals aiming to utilise Deep-Think Mode for complex analysis, modelling, and strategic planning.

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

• Apply Deep-Think Mode to resolve intricate, multi-layered challenges.
• Construct reasoning pipelines that leverage long-context analysis.
• Refine prompts for iterative, multi-step reasoning tasks.
• 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

• Bespoke 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 (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.

This instructor-led live training, available online or onsite, targets beginner-level users aiming to harness Gemini 3 to streamline research, planning, analysis, and everyday knowledge tasks.

Throughout this course, participants will develop the skills to:

• Utilize Gemini 3 in AI Mode to accelerate research and information discovery.
• Implement Gemini-assisted workflows for summarizing content and extracting key insights.
• Integrate Gemini 3 features into routine productivity tasks.
• Adopt best practices for the responsible and reliable use of AI tools.

Course Format

• Instructor-guided presentations and 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 Greece (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 completion of 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 live, instructor-led training in Greece (online or onsite) is designed for intermediate content creators seeking to employ Google Gemini AI to boost content quality and efficiency.

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

• Comprehend the function of AI within content creation.
• Configure and utilise Google Gemini AI to generate and refine content.
• Execute text-to-text transformations to create distinctive and original material.
• Deploy SEO strategies informed by AI-generated insights.
• Evaluate content performance and adjust strategies using Gemini AI.

This instructor-led, live training in Greece (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 Greece (online or onsite) is designed for data analysts and business professionals at beginner to intermediate levels who wish to execute complex data analysis tasks more intuitively across various industries using Google Gemini AI.

By the conclusion 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, available online or onsite, targets intermediate-level professionals aiming to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

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

• Configure agent responsibilities and orchestration pipelines via 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 remain transparent and auditable.
• Optimize collaboration among multiple agents to handle complex development and operational tasks.

Course Format

• Guided presentations coupled with practical demonstrations.
• Scenario-based exercises focused on real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Customization Options

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

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:

• Evaluate the correctness and security of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyse browser recordings and trace agent activity efficiently.
• 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 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.