Teaches how to direct AI agents on more structured, multi-step work. It focuses on giving agents context, defining what good output looks like, setting boundaries, checking results and improving the workflow over time.
The step after AI Foundations: learners take a workflow they repeat, break it into steps, find where AI adds value and build a practical plan to use AI across that process, turning one-off prompts into repeatable workflows.
Objectives
Give an agent the context and clear output definition it needs
Set boundaries on what an agent may do
Review agent results and catch problems
Improve an agent-assisted workflow over successive runs
Map a recurring piece of work into clear steps
Identify which steps AI can help with and which need a person
Turn useful prompts into a repeatable workflow
Build a practical plan for using AI across a real process
Things to know
Needs access to ChatGPT agent capabilities, which may depend on your ChatGPT plan.
A downloadable practice file is required during the course.
Badge requires passing an assessment at 80% or higher.
Lesson-level module titles are only visible after enrolling; the public page lists the course plus its assessment.
OpenAI says badges and certificates of completion are not certifications and do not guarantee eligibility for a future OpenAI Certification.
Uses ChatGPT specifically.
Course is about 80 minutes; the full learning path with assessment is listed at 1h 50m.
Badge requires passing an assessment at 80% or higher.
Lesson-level module titles are only visible after enrolling; the public page lists the course plus its assessment.
OpenAI says badges and certificates of completion are not certifications and do not guarantee eligibility for a future OpenAI Certification.
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