Using and creating sub-agents in Claude Code to delegate tasks to isolated assistants, keep the main context clean, and design reliable patterns: structured output, obstacle reporting, limited tool access, and when not to delegate.
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
Explain how sub-agents work and what flows in and out
Create custom sub-agents with the /agents command
Design reliable sub-agents and judge when delegation is worth it
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
Product-specific
Duration not stated
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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