Hands-on Labs
Build real-world agent systems
Guided, production-grade labs that take you from building your first agent to deploying enterprise platforms.
All LabsBeginnerIntermediateAdvanced
01Beginner
Build Your First Agent
Create a simple AI agent from scratch. Learn agent architecture, tool calling, and basic deployment.
Learning Objectives
- Understand agent architecture
- Implement tool calling
- Deploy agent to cloud
Prerequisites
- AI Fundamentals
2 hours
02Beginner
Memory Cloud
Add persistent memory to your agent. Store conversations, user preferences, and knowledge graphs.
Learning Objectives
- Configure memory stores
- Implement episodic memory
- Build knowledge graphs
Prerequisites
- Agent Basics
- Build Your First Agent
3 hours
03Intermediate
Workflow Cloud
Build durable agent workflows with scheduling, chaining, and error handling.
Learning Objectives
- Design workflow pipelines
- Implement scheduling
- Add error recovery
Prerequisites
- Agent Development
3 hours
04Intermediate
Multi-Agent Collaboration
Orchestrate multiple agents working together. Implement delegation, negotiation, and shared memory.
Learning Objectives
- Design agent teams
- Implement delegation
- Build shared context
Prerequisites
- Agent Development
- Workflow Cloud
4 hours
05Advanced
Enterprise Agent Platform
Deploy a production-grade agent platform with monitoring, governance, and multi-tenancy.
Learning Objectives
- Deploy production infrastructure
- Configure monitoring
- Implement governance
Prerequisites
- Multi-Agent Systems
- Agent Infrastructure
6 hours