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
Introduction to Agent-Centric Development Paradigms
- Foundational concepts of autonomous and semi-autonomous agent systems
- The strategic framework of an agent-first architectural approach
- Operational criteria for adopting agent-driven workflows in government contexts
Overview of the Antigravity IDE Environment
- Workspace configuration and navigation standards
- Interface components: editor, browser pane, and terminal functions
- Configuration of the secure development environment for government use
Implementing Initial Agent-Driven Applications
- Project initialization and setup protocols
- Specification of agent roles, permissions, and capabilities
- Execution of agents within the controlled development environment
Advanced Management of the Agent Manager Module
- Regulation of multi-agent lifecycle management
- Orchestration of coordinated agent collaboration
- Continuous monitoring of agent states and activity logs
Operational Tools: Terminal, Browser, and Execution Context
- Real-time debugging and diagnostic workflows
- Utilizing browser views for task validation for government systems
- Execution of agent directives via the terminal interface
Integration of Agents into Core Application Logic
- Workflow chaining and complex task orchestration
- Alignment of agent behavior with established business logic
- Patterns for data persistence, memory management, and secure handling
Testing, Reliability, and Security Assurance
- Comprehensive testing methodologies for agent-first architectures
- Protocols to ensure predictable and secure agent conduct
- Robust error handling and contingency mechanisms for government operations
Deployment of Agent-First Solutions
- Preparation and validation for production environments
- Deployment strategies and pipeline configuration
- Post-deployment surveillance and agent monitoring
Conclusion and Strategic Recommendations
Requirements
- Proficiency in standard software development lifecycle processes
- Demonstrated experience with JavaScript or Python programming languages
- Working familiarity with modern Integrated Development Environments (IDEs)
Target Audience Profile
- Professional software developers
- Full-stack engineering specialists
- Teams focused on AI-native development within public sector organizations
21 Hours