Designing Agent Workflows: From One-Off Conversations to Multi-Step Automation
This course teaches you how to design and build agent workflows — taking complex multi-step tasks beyond a single conversation into orchestrated, recoverable, scalable automation pipelines. It's for developers who have used Claude Code or a similar AI tool and want to design serious automation.
Course outline
- From Conversation to Workflow: Why Orchestration Exists
- Workflow Building Blocks: Steps, State, Branches, Loops
- Decomposing a Complex Task into a Workflow
- State Management and Passing Context
- Error Handling and Retry Strategies
- Real-World Workflows in Practice
Learning goals
By the end of this course you'll be able to:
- Understand what separates workflow orchestration from a one-off conversation
- Systematically decompose a complex task into executable workflow steps
- Design state management and checkpointing for a workflow
- Build error handling and recovery strategies that hold up in production
- Assemble production-grade multi-agent workflows
Prerequisites
- You've used Claude Code or a similar AI agent tool
- You understand basic flowcharts and state machines
- You can read JavaScript/TypeScript code
- You have experience with any programming language
Estimated time
About 4-5 hours, including the hands-on exercises and the capstone project.