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, available both online and onsite, targets advanced-level professionals seeking to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve over extended operational periods.

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

• Design memory structures for agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate learning trajectories and 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

• Should your organization require tailored content or case-specific examples, please contact us to arrange a customized training session.

Nano Banana is a dedicated model designed for rapid and efficient AI execution directly on devices.

This instructor-led live training, available online or onsite, is tailored for intermediate practitioners looking to design and deploy AI-driven mobile applications using Nano Banana, eliminating the need for cloud infrastructure.

Upon completing this programme, participants will be able to:

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

Course Format

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

Course Customization Options

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

Nano Banana serves as a lightweight AI framework intended to speed up and compress models, facilitating efficient deployment on devices and edge environments.

This guided, live training session, available online or in-person, is designed for intermediate to advanced professionals looking to optimize, compress, and deploy AI models for edge settings using Nano Banana.

Upon completing the program, participants will gain the ability to:

• Implement compression and quantization methods on AI models.
• Boost inference performance for edge devices.
• Utilize Nano Banana’s toolchain to convert and deploy models.
• Assess the balance between accuracy, latency, and resource consumption.

Course Format

• Technical sessions led by an instructor alongside guided discussions.
• Practical exercises based on real-world edge-AI scenarios.
• Hands-on implementation within a configured live environment.

Customization Options for the Course

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

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

This instructor-led live training, available either online or on-site, targets intermediate developers keen on constructing real-world applications using autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will gain the ability to:

• Build applications that leverage autonomous and coordinated AI agents.
• Utilise the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows via the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• A blend of 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 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 creating agents that can interact with web applications, browser environments, and workflows spanning multiple surfaces.

This instructor-led training, available both online and onsite, targets intermediate-level professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be equipped to:

• Develop agents capable of interacting with web applications within the browser interface.
• Automate complete workflows across different browser contexts.
• Validate and resolve issues related to agent behavior in user interface-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Format

• Structured instruction accompanied by live demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab environment.

Customization Options

• For tailored training needs, please reach out to us to adapt the course content to your specific objectives.

Gemini 3 is a sophisticated multimodal AI system engineered to facilitate deep reasoning, handle high-context tasks, and support long-form analytical workflows.

This instructor-led, live training (available online or onsite) is designed for advanced professionals looking 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 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 featuring real-world examples.
• Hands-on reasoning labs and structured exercises.
• Practical development using live experimentation environments.

Course 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, facilitating complex enterprise workflows.

This instructor-led, live training (available online or onsite) targets intermediate-level professionals keen on building 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 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 that boosts Google Search capabilities and workplace efficiency via its AI Mode.

This instructor-led training, available online or on-site, targets beginner-level users looking to utilise Gemini 3 to streamline research, planning, analysis, and daily knowledge tasks.

During this training, participants will develop the necessary skills to:

• Leverage Gemini 3 in AI Mode to speed up research and information retrieval.
• Implement Gemini-assisted workflows to summarise content and extract key insights.
• Incorporate 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 Malaysia (online or onsite) targets beginner to intermediate-level developers looking to incorporate AI functionalities into their applications using Google Gemini AI.

Upon completing this training, participants will be equipped to:

• Grasp the core concepts of large language models.
• Configure and utilise Google Gemini AI for diverse AI tasks.
• Execute text-to-text and image-to-text transformations.
• Develop foundational AI-driven applications.
• Investigate advanced features and customisation options within Google Gemini AI.

This instructor-led, live training in Malaysia (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 Malaysia (online or onsite) is tailored for intermediate-level customer service professionals looking to integrate Google Gemini AI into their customer service operations.

Upon completing this training, participants will be able to:

• Grasp the impact of AI on customer service.
• Configure Google Gemini AI to automate and personalize customer interactions.
• Leverage text-to-text and image-to-text transformations to enhance service efficiency.
• Formulate AI-driven strategies for real-time customer feedback analysis.
• Explore advanced features to deliver a seamless customer service experience.

This instructor-led live training in Malaysia (online or onsite) is designed for beginner to intermediate data analysts and business professionals who aim to tackle complex data analysis tasks more intuitively across diverse industries using Google Gemini AI.

Upon completing this training, participants will be equipped to:

• Grasp the core principles of Google Gemini AI.
• Link various data sources to Gemini AI.
• Investigate data through natural language queries.
• Identify data patterns and extract meaningful insights.
• Produce engaging data visualizations.
• Effectively communicate data-driven findings.

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

This live training, delivered by an instructor via online or onsite sessions, 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 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 remain transparent and auditable.
• Optimize collaboration among multiple agents for 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.

Customization Options

• For a tailored version of this course, please contact us to discuss customization possibilities.

Antigravity is a framework that embodies advanced agent-driven development workflows.

This instructor-led, live training (available online or onsite) is designed for 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.