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.
Explains what agentic AI is, meaning AI that can carry out tasks with some autonomy, and why organisations are adopting it. It draws on Australian case studies and covers governance of agent systems and what they may mean for your career.
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
Define agentic AI and how it differs from chat-style AI
Identify where agents can streamline business processes
Understand what it takes to use agents at scale
Apply basic governance principles to agent systems
Consider how agentic AI may change your career
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.
Free price is a subsidy on a A$140 list price; no end date is published, so enrol while it shows A$0
Requires creating a TAFE NSW store account and checking out at A$0
Access expires 4 months after enrolment
Provider states 2 to 3 hours; 2.5 is the midpoint
The national scholarship announcements for learners outside NSW name only the three original AI microskills; the store shows A$0 for this course but eligibility outside NSW is not separately confirmed
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