Agentic Development with Gemini 3 and Google Antigravity Training Course

Google Antigravity represents a sophisticated framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training, available either online or onsite, is tailored for advanced professionals seeking to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve across extended operational periods.

After completing this course, participants will be equipped with the following skills:

• Constructing long-term memory structures to ensure agent persistence.
• Implementing effective feedback loops to guide and shape agent behavior.
• Assessing learning trajectories and monitoring model drift.
• Integrating memory mechanisms within complex multi-agent ecosystems.

Course Format

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

Customization Options

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

Nano Banana is a specialized model optimized for fast, efficient on-device AI execution.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to design and deploy AI-powered mobile applications using Nano Banana without relying on cloud infrastructure.

Upon completing this program, attendees should be able to:

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

Course Structure

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

Options for Course Customization

• If you require a tailored version of this course, please contact us to discuss customization options.

Nano Banana is a streamlined AI framework created to speed up and compress models, enabling efficient deployment on devices and edge infrastructure.

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

Upon completing the program, participants will be equipped to:

• Implement compression and quantization methods on AI models.
• Enhance inference speed for edge hardware.
• Convert and deploy models using the Nano Banana toolchain.
• Assess the balance between accuracy, latency, and resource consumption.

Course Structure

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

Customization Options

• For specialized content or company-specific adaptations, contact us to arrange a tailored version of this course.

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

This instructor-led training, available either online or onsite, targets intermediate-level developers looking to build real-world applications utilizing autonomous AI agents within the Antigravity ecosystem.

Upon completing this training, participants will be capable of:

• Developing applications that depend on autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for comprehensive development.
• Overseeing multi-agent workflows via the Agent Manager.
• Integrating agent functionalities into production-ready software systems.

Course Format

• A mix of presentations accompanied by detailed demonstrations.
• Substantial hands-on practice with guided exercises.
• Practical implementation work within the live Antigravity environment.

Customization Options

• For content tailored to your specific development stack, please reach out to us to arrange a customized training session.

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 can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led training session, available both online and on-site, is tailored for intermediate-level professionals looking to build, automate, and test workflows within browser environments using Google Antigravity.

Upon completing the training, participants will be equipped to:

• Develop agents capable of interacting with web applications within a browser interface.
• Automate end-to-end workflows across various browser contexts.
• Validate and troubleshoot agent performance in UI-driven settings.
• Deploy cross-surface automation strategies utilizing Antigravity.

Course Format

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

Customization Options

• For specific training needs, please contact us to customize the course according 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 in both online and onsite formats, is tailored for advanced professionals seeking to utilize Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completing this course, participants will be able to:

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

Course Format

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

Customization Options

• Customized sessions or domain-specific deep-reasoning projects can be arranged upon request.

Gemini 3 is a multimodal artificial intelligence model engineered to process reasoning across text, images, and structured data to facilitate complex enterprise operations.

This instructor-led training, available online or on-site, targets intermediate-level professionals aiming to construct reasoning-driven and multimodal workflows using Gemini 3 within corporate settings.

Upon completion of this course, participants will possess the competencies to:

• Leverage Gemini 3’s reasoning powers for enterprise planning and decision-making processes.
• Craft multimodal processes that integrate text, images, documents, and tabular information.
• Build business workflows utilizing AI Studio and Vertex AI tools.
• Enhance output quality through prompt engineering and iterative refinement methods.

Course Format

• Expert-led demonstrations accompanied by detailed explanations.
• Practical exercises centered on workflow architecture and multimodal tasks.
• Interactive experimentation within AI Studio or Vertex AI environments.

Customization Options

• Should your organization require customized workflow scenarios or data integration examples, please reach out to us to tailor the training accordingly.

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

This instructor-led live training, available online or onsite, is tailored for beginner-level users aiming to leverage Gemini 3 to streamline research, planning, analysis, and daily knowledge tasks.

Throughout this course, participants will develop the skills necessary to:

• Utilize Gemini 3 in AI Mode to accelerate research and information discovery.
• Implement Gemini-assisted workflows to summarize content and extract key insights.
• 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 demonstrations.
• Structured hands-on exercises for practical skill development.
• Real-world applications using live search and productivity scenarios.

Course Customization Options

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

This instructor-led live training in Bulgaria (online or on-site) is designed for beginner to intermediate developers looking to integrate AI functionalities into their applications using Google Gemini AI.

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

• Comprehend the core principles of large language models.
• Configure and utilize Google Gemini AI for various AI tasks.
• Execute text-to-text and image-to-text transformations.
• Construct fundamental AI-driven applications.
• Investigate advanced features and customization options within Google Gemini AI.

This instructor-led, live training in Bulgaria (online or onsite) is designed for intermediate-level content creators seeking to use Google Gemini AI to improve the quality and efficiency of their content.

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 Bulgaria (online or onsite) targets intermediate-level customer service professionals aiming to integrate Google Gemini AI into their operations.

Upon completion of 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.
• 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 Bulgaria (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 a platform focused on agents, enabling the orchestration, supervision, and coordination of workflows driven by AI for coding and automation.

This guided training session, available online or in person, is designed for professionals at an intermediate level who aim to create, oversee, and enhance multi-agent workflows within the Google Antigravity environment.

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

• Set up agent responsibilities and orchestration pipelines using the Manager interface.
• Create and analyze Antigravity artifacts, such as task lists, plans, logs, and browser recordings.
• Apply verification strategies to maintain transparency and auditability in agent actions.
• Enhance collaboration among multiple agents to handle complex development and operational tasks.

Course Format

• Guided presentations accompanied by practical demonstrations.
• Scenario-based exercises addressing real-world workflow challenges.
• Practical experimentation within a live Antigravity workspace.

Options for Customizing the Course

• For a customized version of this course, please reach out to us to discuss available options.

Antigravity is a framework designed to support advanced agent-driven development workflows.

This instructor-led training (available online or onsite) targets intermediate to advanced professionals seeking 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 track agent activity.
• Apply QA and security best practices to ensure the reliability of agent workflows.

Course Format

• Technical briefings and discussions guided by an instructor.
• Practical exercises centered on verifying real-world agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Customization Options

• Scenarios, workflows, and testing examples can be adapted to your needs upon request.