Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Understanding the Architecture of Google Antigravity for Government
- Agent-first design principles for government applications
- Roles of the Editor and Manager interfaces in public sector operations
- Workspace structure and execution contexts tailored for government use
Configuring Agents and Capabilities for Government
- Assigning agent roles and specializations to meet public sector needs
- Defining task boundaries and autonomy levels for government tasks
- Managing security and permissions for agents in a government context
Designing Multi-Agent Workflows for Government Operations
- Workflow planning and sequencing for efficient public sector processes
- Coordinating background and foreground agents to support government tasks
- Using chaining, delegation, and escalation patterns in government workflows
Working with the Manager (Mission-Control) Interface for Government
- Monitoring live agent activity to ensure compliance and efficiency
- Interpreting graphs, states, and execution timelines for government oversight
- Intervening, overriding, or redirecting agent tasks as needed for public sector operations
Generating and Managing Antigravity Artifacts for Government
- Task lists, work plans, and decision traces to support government transparency
- Screenshots, browser recordings, and workspace captures for audit purposes
- Audit logs and reproducibility metadata to ensure accountability
Verification and Quality Assurance Techniques for Government
- Ensuring traceability and transparency in government processes
- Validating agent output accuracy for public sector tasks
- Implementing safeguards and failover strategies to maintain reliability
Integrating Antigravity into Engineering Pipelines for Government
- Supporting CI/CD and release workflows in government projects
- Collaborating with existing DevOps tools for seamless integration
- Scaling agent tasks across teams and environments to enhance government efficiency
Advanced Optimization for Multi-Agent Collaboration in Government
- Reducing redundant actions and cycles to optimize public sector operations
- Leveraging performance metrics and analytics for data-driven decision-making
- Designing resilient and adaptable workflows to meet government needs
Summary and Next Steps for Government Implementation
Requirements
- A comprehensive understanding of modern DevOps and platform engineering principles for government
- Practical experience with AI-assisted development workflows
- Knowledge of distributed systems or cloud environments
Audience
- Platform Engineers
- DevOps Engineers
- AI Architects
14 Hours
