Agentic Development with Gemini 3 and Google Antigravity Training Course
Google Antigravity is an agentic development environment engineered to construct autonomous agents capable of planning, reasoning, coding, and acting by leveraging the multimodal capabilities of Gemini 3.
This instructor-led, live training (available online or onsite) is tailored for advanced-level technical professionals who aim to design, build, and deploy autonomous agents utilizing Gemini 3 within the Antigravity environment.
Upon completing this training, participants will be equipped to:
- Construct autonomous workflows that employ Gemini 3 for reasoning, planning, and execution.
- Develop agents in Antigravity capable of analyzing tasks, writing code, and interacting with tools.
- Integrate Gemini-driven agents with enterprise systems and APIs.
- Enhance agent behavior, safety, and reliability within complex environments.
Course Format
- Expert demonstrations paired with interactive discussions.
- Hands-on experimentation with autonomous agent development.
- Practical implementation utilizing Antigravity, Gemini 3, and supporting cloud tools.
Customization Options
- Should your team require domain-specific agent behaviors or custom integrations, please contact us to tailor the program to your needs.
Course Outline
Understanding Agentic AI with Gemini 3
- Agentic reasoning and autonomous task execution
- Capabilities unique to Gemini 3 for agent workflows
- Enterprise scenarios requiring autonomous agents
Exploring the Antigravity Development Environment
- Core concepts, architecture, and toolset
- Managing projects and environments
- Executing and monitoring agent runs
Designing Autonomous Agents
- Structuring tasks and workflows for autonomy
- Multi-step reasoning and planning chains
- Designing safe and controlled action loops
Coding and Tool Use in Antigravity
- Enabling agents to write and refine code
- Delegating tasks to system tools and APIs
- Managing tool permissions and capabilities
Multimodal Agent Capabilities with Gemini 3
- Processing images, documents, and structured data
- Combining modalities for complex planning
- Extracting insights for autonomous decision-making
Integrating Agents with Enterprise Systems
- Connecting Antigravity to external APIs
- Interacting with cloud services and databases
- Building end-to-end automated business workflows
Optimizing and Evaluating Agent Behavior
- Improving reliability and controlling variability
- Debugging and refining agent actions
- Performance, scaling, and workload orchestration
Responsible Use, Safety, and Governance
- Managing agent autonomy in enterprise contexts
- Safety rules, constraints, and governance controls
- Auditing agent decisions and maintaining transparency
Summary and Next Steps
Requirements
- A solid understanding of advanced AI concepts
- Experience with software development and cloud environments
- Knowledge of prompt engineering or model orchestration
Audience
- AI developers
- Software engineers
- R&D teams
Need help picking the right course?
uae@nobleprog.com or +971 4871 6715
Agentic Development with Gemini 3 and Google Antigravity Training Course - Enquiry
Testimonials (1)
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
Upcoming Courses
Related Courses
Advanced Antigravity: Feedback Loops, Learning & Long-Term Agent Memory
14 HoursGoogle Antigravity is a sophisticated framework designed for experimenting with long-lived agents and emergent interactive behaviors.
This instructor-led live training, available online or onsite, targets advanced professionals seeking to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational lifespans.
Upon completing this course, participants will acquire the skills to:
- Design long-term memory structures to ensure agent persistence.
- Implement effective feedback loops to shape and guide agent behavior.
- Evaluate learning trajectories and address 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 to simulated agent environments.
Course Customization Options
- If your organization requires tailored content or case-specific examples, please contact us to customize this training.
Building On-Device AI Apps with Nano Banana
14 HoursNano 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:
- Deploy Nano Banana models directly onto mobile devices.
- Enhance AI workloads to achieve superior performance and energy efficiency.
- Incorporate text and image generation capabilities into mobile applications.
- Diagnose, benchmark, and refine on-device inference pipelines.
Course Format
- Instructor-led demonstrations accompanied by collaborative discussions.
- Practical exercises centered around real-world use cases.
- Hands-on development and testing within a live mobile environment.
Course Customization Options
- If you require a tailored version of this course, please contact us to discuss customization options.
Optimizing AI Models for Edge Deployment with Nano Banana
14 HoursNano Banana is a lightweight AI framework engineered to accelerate and compress models, ensuring efficient deployment on devices and edge infrastructure.
This instructor-led live training, available either online or onsite, targets intermediate to advanced professionals aiming to optimize, compress, and deploy AI models for edge environments utilizing Nano Banana.
Upon completing the program, participants will be able to:
- Implement compression and quantization methods on AI models.
- Enhance inference performance for edge devices.
- Convert and deploy models leveraging Nano Banana’s toolchain.
- Assess trade-offs concerning accuracy, latency, and resource consumption.
Course Format
- 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 specific content requirements or organizational adaptations, please contact us to arrange a customized version of this course.
Antigravity for Developers: Building Agent-First Applications
21 HoursAntigravity serves as a specialized development platform engineered to create AI-driven, agent-first applications.
This instructor-led live training, available either online or onsite, is tailored for intermediate developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.
Upon completing this training, participants will be able to:
- Build applications leveraging autonomous and coordinated AI agents.
- Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive end-to-end development.
- Oversee multi-agent workflows through the Agent Manager.
- Seamlessly integrate agent capabilities into robust, production-grade software systems.
Course Format
- A blend of presentations with detailed, in-depth demonstrations.
- Extensive hands-on practice accompanied by guided exercises.
- Practical implementation work conducted within the Antigravity live environment.
Customization Options
- For content tailored to your specific development stack, please reach out to us to arrange a customized training version.
Getting Started with Antigravity: An Introduction to Agent-First IDEs
14 HoursGoogle Antigravity is an agent-centric development environment crafted to optimize engineering workflows via intelligent automation.
This instructor-led, live training session (available online or on-site) is designed for beginner-level professionals looking to discover the fundamentals of Antigravity and grasp how agent-driven coding setups boost productivity.
After completing this training, participants will be able to:
- Install and set up Google Antigravity.
- Navigate and comprehend both the Editor View and Manager View.
- Collaborate efficiently with agents to automate basic development tasks.
- Utilize Antigravity to generate, refine, and manage project files.
Course Format
- Guided exercises centered on practical agent usage.
- Hands-on exploration of core Antigravity features in a controlled lab setting.
Course Customization Options
- For a customized version of this training, please reach out to us to arrange a tailored program.
Antigravity for Web Automation & Browser-Based Tasks
21 HoursGoogle Antigravity serves as a platform designed for creating agents that can interact with web applications, browser environments, and multi-surface workflows.
This instructor-led training, available online or on-site, targets intermediate-level professionals aiming to build, automate, and test browser-based workflows 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 behavior within UI-driven environments.
- Implement cross-surface automation strategies utilizing Antigravity.
Course Format
- Guided instruction accompanied by live 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 specific objectives.
Deep-Think Mode Mastery: Advanced Reasoning with Gemini 3
14 HoursGemini 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 on-site, targets advanced professionals seeking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.
Upon completing this course, participants will be able to:
- Utilize Deep-Think Mode to resolve intricate, multi-layered challenges.
- Construct reasoning pipelines that integrate long-context analysis.
- Refine prompts for effective iterative, multi-step reasoning.
- 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
- Tailored sessions or domain-specific deep-reasoning projects can be arranged upon request.
Gemini 3 for Enterprise: Reasoning, Planning & Multimodal Workflows
14 HoursGemini 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 (available online or onsite) targets intermediate-level professionals aiming to build reasoning-driven and multimodal workflows using Gemini 3 within enterprise environments.
Upon completing this course, participants will acquire 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 in Google Search & Knowledge Work: Using AI Mode for Productivity
14 HoursGemini 3 is an advanced AI-driven system designed to elevate Google Search capabilities and workplace efficiency through its innovative AI Mode.
This instructor-led live training, available both online and onsite, targets beginner-level professionals eager to harness Gemini 3 to optimize research, planning, analysis, and daily knowledge tasks.
During this training, participants will acquire the following skills:
- Utilize Gemini 3 in AI Mode to expedite research and information discovery.
- Implement Gemini-assisted workflows to summarize content and derive actionable insights.
- Seamlessly integrate Gemini 3 features into routine productivity activities.
- Adopt best practices for the responsible and reliable deployment of AI tools.
Course Format
- Instructor-guided presentations and live demonstrations.
- Structured hands-on exercises focused on practical skill development.
- Real-world applications utilizing live search and productivity scenarios.
Customization Options
- For bespoke training tailored to your specific workflows, please reach out to discuss customization possibilities.
Introduction to Google Gemini AI
14 HoursThis instructor-led, live training in the UAE (available online or onsite) targets beginner to intermediate-level developers seeking to incorporate AI functionalities into their applications via Google Gemini AI.
By the end of this training, participants will be able to:
- Comprehend the fundamentals of large language models.
- Set up and apply Google Gemini AI for diverse AI tasks.
- Implement transformations between text and images.
- Construct basic AI-driven applications.
- Explore advanced features and customization capabilities within Google Gemini AI.
Google Gemini AI for Content Creation
14 HoursThis instructor-led, live training in the UAE (online or onsite) is designed for intermediate-level content creators looking to leverage Google Gemini AI to improve both the quality and efficiency of their work.
Upon completion of this training, participants will be able to:
- Grasp the significance of AI in the content creation landscape.
- Configure and utilize Google Gemini AI to produce and refine content.
- Employ text-to-text transformations to generate innovative and distinct content.
- Deploy SEO strategies supported by AI-driven insights.
- Evaluate content performance and adjust strategies using Gemini AI.
Google Gemini AI for Transformative Customer Service
14 HoursThis instructor-led live training in the UAE (online or onsite) targets intermediate-level customer service professionals looking to integrate Google Gemini AI into their service operations.
Upon completion of this training, participants will be able to:
- Comprehend 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 analyzing customer feedback in real time.
- Explore advanced features to deliver a seamless customer service experience.
Google Gemini AI for Data Analysis
21 HoursThis instructor-led live training in the UAE (online or onsite) is designed for beginner to intermediate data analysts and business professionals who aim 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.
Managing Agent Workflows in Google Antigravity: Orchestration, Planning and Artifacts
14 HoursGoogle Antigravity serves as an agent-centric development platform designed to orchestrate, oversee, and coordinate AI-powered coding and automation workflows.
This instructor-led live training, available online or onsite, targets intermediate-level professionals looking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.
Upon completing this course, participants will acquire the skills necessary 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 ensure that agent actions remain transparent and fully auditable.
- Optimize multi-agent collaboration for complex development and operational tasks.
Course Format
- Guided presentations complemented by practical demonstrations.
- Scenario-based exercises focused on real-world workflow challenges.
- Hands-on experimentation within a live Antigravity workspace.
Course Customization Options
- For a customized version of this course, please contact us to discuss specific requirements.
Testing & Verifying Agent-Driven Code: Quality Assurance in Antigravity
14 HoursAntigravity is a framework that facilitates advanced, agent-driven development workflows.
This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to verify, validate, and secure the outputs produced by AI agents operating within Antigravity environments.
Upon completing this training, participants will be able to:
- Evaluate the accuracy and safety of code artifacts generated by agents.
- Employ structured techniques to verify tasks executed by agents.
- Analyze browser recordings and trace agent activities with precision.
- Apply quality assurance and security principles to ensure the reliability of agent-driven workflows.
Course Format
- Technical briefings and discussions guided by an instructor.
- Practical exercises focused on verifying real-world agent workflows.
- Hands-on testing and validation within a controlled laboratory environment.
Customization Options
- Adaptation of scenarios, workflows, and testing examples is available upon request.