From Prompting to Systems: Designing AI Workflows Without Coding

This course empowers non-technical professionals to transcend ad-hoc AI usage and design reliable, repeatable AI workflows. It is tailored for learners who are already comfortable experimenting with tools like ChatGPT, Claude, or Gemini, but who aspire to move beyond one-off prompts to structured, trustworthy solutions. We will guide you through a practical, systems-oriented, and outcome-first approach to harness AI effectively in your work without needing to write a single line of code. You’ll learn to identify high-value tasks, dissect them into manageable parts, and strategically integrate AI while maintaining human oversight.

What You’ll Learn

Designing AI Workflows: Break down complex tasks into manageable, AI-assisted steps, focusing on inputs, outputs, and review points.

Context Engineering: Build powerful “context packs” using examples, rules, trusted sources, and templates to significantly improve AI output quality and consistency.

Human-AI Collaboration: Define clear boundaries for human review and decision-making, ensuring AI’s role is assistive and controlled.

Workflow Evaluation: Create simple, effective methods to measure the performance and trustworthiness of your designed AI workflows.

System Presentation: Articulate a clear business or operational rationale for your proposed AI workflow, ready for implementation.

Who’s This For

This course is ideal for AI fluency students and other non-technical professionals, including managers, consultants, operators, founders, project managers, marketers, researchers, client service teams, and knowledge workers. If you’ve tried prompting and basic AI tools but still feel your usage is ad hoc, and you want to move towards designing useful, reliable workflows without becoming a programmer, this course is for you. It’s designed for practical, outcome-focused individuals who value clear language, concrete examples, and guided exercises.