AI-Native TrainingModule 5
Learning Objectives
Master LangGraph for complex agent workflows
Build multi-agent systems with CrewAI
Implement enterprise agents with AutoGen
Integrate AI into SAFe Agile ceremonies and workflows
Topics Covered
1
LangGraph for State Management
Graph-based agent architecture
State management across workflow steps
Conditional edges and branching logic
Human-in-the-loop workflows
Parallel execution and streaming
2
CrewAI for Business Workflow Automation
Multi-agent teams for enterprise tasks
Role-based agent design (researcher, writer, analyst)
Task delegation and coordination patterns
Sequential vs parallel crew execution
Real-world use cases: content creation, research, analysis
Integrating crews with existing business processes
3
AutoGen for Enterprise Agents
Conversational and code execution agents
Conversational and code execution agents
Enterprise integration patterns
Authentication, logging, audit trails
4
SAFe AI: AI-Empowered Agile Workflows
Integrating AI into Scaled Agile Framework (SAFe 6.0)
AI in PI Planning and sprint ceremonies
Predictive backlog management and prioritization
AI-assisted retrospectives and continuous improvement
AI for Scrum Masters: automating facilitation tasks
Responsible AI governance in Agile teams
Hands-On Projects
LangGraph Workflow
advanced3 hours
Build complex workflow with state management
CrewAI Business Team
advanced3 hours
Create multi-agent content creation team
SAFe AI Sprint Assistant
advanced3 hours
Build AI assistant for sprint planning and retrospectives