Running long, hands-off Claude Code sessions you can trust: scoping and steering, a CLAUDE.md that is followed, skills, permission modes and hooks, scheduled and headless runs, GitHub code review, and verifying work you did not watch. The follow-on to Claude Code 101.
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
Scope and steer long sessions with plan mode, compaction and rewind
Configure Claude with a lean CLAUDE.md, skills, permission modes and hooks
Automate repeat work with routines, headless mode and GitHub actions
Verify unsupervised runs and share a trusted setup as a plugin
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
Developer audience only
Product-specific to Claude Code
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.
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