• Google Cloud
  • Cloud Infrastructure (GC)

Antigravity for Enterprise Series

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Learning Track icon
Learning Track

Cloud Infrastructure (GC)

Delivery methods icon
Delivery methods

On-Site, Virtual

Duration icon
Duration

1 day

This comprehensive 6-module series explores Google Antigravity, an agent-first development platform designed to consolidate fragmented developer workflows into a unified server-side harness.

Learners will journey from foundational architecture and multi-team scale to advanced enterprise guardrails, responsible vibe coding for non-technical teams, and deterministic compliance reporting for regulated industries.

Course outline

  • Key Learning Points:
    1. Case Study: Cymbal Bank
    2. The Agentic Platform Paradigm
    3. Deconstructing the 4 Core Surfaces
    4. Migration Walkthrough
    5. Summary & Quiz
  • Objectives:
    • Explain Antigravity as a unified platform (IDE, CLI, SDK, and Managed Agents).
    • Describe how Antigravity supersedes Gemini CLI workflows.
    • Identify the core surfaces of the Antigravity ecosystem and their use cases.
    • Integrate Antigravity with the Gemini Enterprise Agent Platform.
    • Map your current development environment to Antigravity adoption entry points.
  • Activities: 1 Case Study, 1 Quiz (5 questions)
  • Key Learning Points:
    1. Case Study: Cymbal Labs
    2. Context-Aware Agent Workflows
    3. Mastering the Command Center
    4. Compute Credit Optimization
    5. Summary & Quiz
  • Objectives:
    • Configure Antigravity for a development project and connect relevant context sources.
    • Direct agents to plan, implement, and test code changes across multi-file scenarios.
    • Use the Command Center to run parallel agents and interpret their outputs.
    • Recognize when to intervene in an agent workflow vs. when to let it run.
    • Manage usage and understand the compute credit model to avoid unexpected limits.
  • Activities: 1 Case Study, 3 Live Demos/Walkthroughs, 1 Quiz (5 questions)
  • Key Learning Points:
    1. Case Study: Cymbal Superstore (Retail)
    2. Orchestrating Multi-Team Environments
    3. The Human-in-the-Loop Framework
    4. Production Readiness Checklist
    5. Summary & Quiz
  • Objectives:
    • Identify the architectural boundary between individual and team-scale Antigravity.
    • Describe how Agent Platform enables organizational orchestration and governance.
    • Design a human-in-the-loop framework for autonomous agent workflows.
    • Explain the A2A protocol and its role in multi-agent coordination.
    • Define a readiness checklist for moving to production deployment.
  • Activities: 1 Case Study, 2 Live Demos/Walkthroughs, 1 Quiz (5 questions)
  • Key Learning Points:
    1. Case Study: Cymbal Investments
    2. Enterprise Governance & Strict Mode
    3. Shadow Code Prevention
    4. Change Management Playbook
    5. Summary & Quiz
  • Objectives:
    • Assess the security posture of Antigravity and identify certification coverage gaps.
    • Apply a governance model for agent permissions, Strict Mode, and audit logging.
    • Design a "shadow code" prevention strategy for autonomous agent outputs.
    • Create a migration playbook for teams transitioning from Gemini CLI.
    • Build a change management approach for agent-first engineering workflows.
  • Activities: 1 Case Study, 1 Quiz (5 questions)
  • Key Learning Points:
    1. Case Study: Cymbal Direct (Creative)
    2. Autonomous vs. Assisted Execution
    3. Scope-Setting & Safe Prototyping
    4. Safeguards & Intervention Points
    5. Summary & Quiz
  • Objectives:
    • Describe what Antigravity agents can do and what "autonomous execution" means.
    • Configure Antigravity safely for non-technical prototypes and data tools.
    • Identify tasks appropriate for self-directed agent use vs. engineering involvement.
    • Apply three specific safeguards before delegating destructive or irreversible tasks.
    • Recognize signs of agent drift and know how to intervene effectively.
  • Activities: 1 Case Study, 1 Live Demo/Walkthrough, 1 Quiz (5 questions)
  • Key Learning Points:
    1. Case Study: Cymbal Health
    2. Compliance Framework Alignment
    3. Establishing Agentic Lineage
    4. Deterministic Audit & Reporting
    5. Summary & Quiz
  • Objectives:
    • Describe compliance frameworks applicable to high-stakes agentic software.
    • Establish lineage and traceability for every agentic decision.
    • Configure deterministic audit trails for production-grade auditability.
    • Design reproducible workflows that satisfy regulatory scrutiny.
    • Implement governance controls to ensure AI output meets industry standards.
  • Activities: 1 Case Study, 1 Live Demo/Walkthrough, 1 Quiz (5 questions)

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