π Lesson 3-3: State & DAG Orchestration
Coming Soon
This lesson is currently under development. We're working on comprehensive content covering:
- Event-driven vs static DAGs
- LangGraph DSL and state management
- Workflow orchestration patterns
- State persistence and recovery
- Dynamic workflow adaptation
**Want to contribute?** Check out our [GitHub repository](https://github.com/karthikkpro/ai-agent-engineer-course) or join our discussions!
Learning Objectives
- Master LangGraph DSL for workflow orchestration
- Design event-driven and static DAG workflows
- Implement state management and persistence
- Handle dynamic workflow adaptation and recovery
Key Topics
- Event-Driven DAGs: Reactive workflow patterns
- Static DAGs: Predefined workflow structures
- LangGraph DSL: Domain-specific language for workflows
- State Management: Persistence and recovery strategies
- Dynamic Adaptation: Runtime workflow modifications
This lesson will be available soon. Stay tuned for updates!