Role-Based Programme
RB0863

Google Antigravity for Information Technology

Build, Troubleshoot & Automate IT Workflows with AI Agents

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Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Build foundational capability in using Google Antigravity for IT support, technical investigation, application work, and operational automation.
  • Use AI agents to analyse files, repositories, technical documentation, browser-based systems, and IT issues.
  • Apply Dynamic Subagents to divide technical tasks across troubleshooting, research, validation, and documentation activities.
  • Create reusable IT workflows using Projects, Skills, MCP connections, Scheduled Tasks, and controlled automation.
  • Apply appropriate permissions, security controls, validation, and human approval when using autonomous AI agents.

Tools covered

Google Antigravity 2.0AI AgentsProjectsDynamic SubagentsBrowser AgentIntegrated TerminalArtifactsScheduled TasksSkillsMCPJSON Hooks

Who should attend

  • IT Professionals
  • IT Operations Professionals
  • Application Support Engineers
  • System Administrators
  • Technical Support Engineers
  • Cloud Engineers
  • DevOps Professionals
  • Infrastructure Engineers
  • Software Developers
  • IT Analysts
  • Integration Engineers
  • Technical Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of IT systems, applications, or technical-support processes
  • Familiarity with files, browsers, command-line concepts, or application environments is helpful
  • Basic understanding of software or scripting concepts is beneficial
  • General awareness of generative AI is helpful
  • No advanced programming expertise required
  • No previous Antigravity experience required

TOC Modules

Concepts
  • Understanding Antigravity 2.0 as an agent-first platform for technical and knowledge work
  • Understanding Agents, Projects, tools, permissions, Artifacts, and task execution
  • Identifying IT use cases across support, development, operations, research, and automation
  • Understanding autonomous execution versus IT professional accountability
Practical activities
  • Creating an IT-focused Project
  • Assigning an Agent a simple technical task
  • Reviewing Agent actions, outputs, and generated Artifacts

Scenarios

Application Issue to Validated Resolution

Application Issue → Antigravity Project → File / Repository Analysis → Dynamic Subagents → Browser Validation → Root-Cause Hypothesis → Fix / Action → Verification → Technical Documentation

Participants use Antigravity to investigate an application issue across multiple technical sources, coordinate parallel analysis, validate application behaviour, and produce a structured resolution summary.

Recurring IT Environment Review

Defined IT Check → Scheduled Agent → Files / Browser / Commands → JSON Hook Validation → Exception Detection → Artifact → IT Review → Remediation

Participants design a controlled recurring workflow that performs predefined IT checks, identifies exceptions, records evidence, and escalates findings for human technical review.

## Current Capability Reference

Google Antigravity 2.0 is a standalone agent platform that can execute system commands, read and write files, perform web searches, interact with Chrome, manage Dynamic Subagents, create Artifacts, and connect with external tools through Skills and MCP. ([Google Antigravity][1])

It also currently supports Projects with scoped permissions, Scheduled Tasks, JSON Hooks, browser interaction with Chrome DevTools integration, integrated terminal capabilities, and interactive approvals before potentially consequential commands. ([Google Antigravity][2])

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