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Detail	Introduction to Subagents	Applied AI Foundations
Provider	Anthropic	OpenAI
Our rating	4.0	4.4
Cost	Free	Free
Time	Time not stated	1.3 hours
Level	Intermediate	Intermediate
Credential	certificate of completion (free)	certificate of completion (free)
Open to	Worldwide	Worldwide
Free in	Worldwide	Worldwide
Content written for	Any country	Any country
Summary	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.	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	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	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	Product-specific Duration not stated	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.
Our course page	Introduction to Subagents	Applied AI Foundations

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