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Course Outline
Understanding Google Antigravity's Architecture for Government
- Agent-first design principles for government
- Roles of the Editor and Manager interfaces in public sector applications
- Workspace structure and execution contexts tailored for government workflows
Configuring Agents and Capabilities for Government
- Assigning agent roles and specializations to meet government needs
- Defining task boundaries and autonomy levels in alignment with public sector policies
- Managing security and permissions for agents to ensure compliance with government regulations
Designing Multi-Agent Workflows for Government
- Workflow planning and sequencing to enhance efficiency in government operations
- Coordinating background and foreground agents to optimize resource utilization
- Using chaining, delegation, and escalation patterns to streamline processes for government
Working with the Manager (Mission-Control) Interface for Government
- Monitoring live agent activity to ensure compliance and performance
- Interpreting graphs, states, and execution timelines to support decision-making
- Intervening, overriding, or redirecting agent tasks as needed for government operations
Generating and Managing Antigravity Artifacts for Government
- Task lists, work plans, and decision traces to ensure transparency and accountability
- Screenshots, browser recordings, and workspace captures for audit purposes
- Audit logs and reproducibility metadata to support governance and compliance
Verification and Quality Assurance Techniques for Government
- Ensuring traceability and transparency in government projects
- Validating agent output accuracy to meet public sector standards
- Implementing safe-guards and failover strategies to ensure reliability
Integrating Antigravity into Engineering Pipelines for Government
- Supporting CI/CD and release workflows in government IT environments
- Collaborating with existing DevOps tools to enhance integration
- Scaling agent tasks across teams and environments to support large-scale government initiatives
Advanced Optimization for Multi-Agent Collaboration for Government
- Reducing redundant actions and cycles to improve efficiency in government operations
- Leveraging performance metrics and analytics to inform decision-making
- Designing resilient and adaptable workflows to meet the dynamic needs of government agencies
Summary and Next Steps for Government
Requirements
- A comprehensive understanding of contemporary 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