Design AI agent workflows: components, control patterns, real use cases, and evaluation and no coding required!
What you'll learn
Explain what an agentic workflow is in plain business language and how it differs from a standalone AI prompt or simple automation
Identify the key components of any agentic workflow: goals, inputs, steps, decision points, and outputs
Distinguish between human steps, agent steps, and system steps, and assign each correctly when designing a real workflow
Break down a complex business process into chainable sub-tasks that an AI agent can execute autonomously or with human oversight
Apply three core agent control patterns — Plan-Execute-Verify, Audit & Self-Review, and Multi-View — to structure reliable workflows
Design agentic workflows for real business functions including customer support, sales, marketing, and internal operations
Evaluate a workflow using quality criteria — clarity, control, business value, and risk — before moving to technical implementation
Present a complete agentic workflow design to a technical team or manager using a clear, business-friendly visual format
Requirements
No technical or programming knowledge required. If you work in a business environment and want to design smarter AI-powered processes, this course is built for you.
