Design AI agent workflows: components, control patterns, real use cases, and evaluation and no coding required!
Using AI tools like ChatGPT is a good start. But knowing how to design complete, end-to-end automated workflows is what actually transforms how a business operates. This course teaches you exactly that — with no coding, no technical background, and no jargon.
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.
Course Content
- From Prompts to Workflows: Why Agentic Design Matters –> 3 lectures • 17min.
- Anatomy of an Agentic Workflow –> 3 lectures • 17min.
- From Task List to Agentic Flow –> 4 lectures • 37min.
- Conversation & Control Patterns for Agents –> 4 lectures • 13min.
- Practice Test 1: Foundations, Anatomy & Design Patterns –> 0.
- Designing Workflows for Different Functions –> 3 lectures • 18min.
- Evaluating and Refining Your Agentic Workflow –> 3 lectures • 12min.
- Final Workshop: Design Your First Agentic Workflow –> 4 lectures • 21min.
- Practice Test 2: Application, Evaluation & Implementation –> 0.
- Role Play: Redirect an Ambitious Stakeholder –> 0.
Requirements
Using AI tools like ChatGPT is a good start. But knowing how to design complete, end-to-end automated workflows is what actually transforms how a business operates. This course teaches you exactly that — with no coding, no technical background, and no jargon.
You will learn what an agentic workflow is in plain business language: how it differs from a simple prompt, what its core components are, and how to structure it so that the right tasks go to the right actor — whether that is an AI agent, a human, or an automated system.
From there, you will explore three powerful control patterns that make agent workflows reliable and auditable: Plan-Execute-Verify, Audit & Self-Review, and Multi-View. These patterns give you a practical toolkit for designing workflows that are not just functional, but safe and controllable.
The course covers real business functions in depth — customer support, sales and marketing, and internal operations — with concrete examples that show you how agentic design works in practice, not just in theory.
You will also learn how to evaluate and refine a workflow before taking it to implementation, using clear quality criteria around clarity, control, business value, and risk.
The course closes with a hands-on workshop where you design a real workflow from your own work, map it step by step, identify control points, and prepare it to present to a technical team or manager.
No code. No complexity. Just a clear, repeatable method for designing AI-powered business processes that actually work.