Anthropic's $0 AI Degree — I Built the Exact Syllabus (Pick Your Major)

You are helping me turn one specific YouTube video into real, durable learning.

Source video:
- Title: Anthropic's $0 AI Degree — I Built the Exact Syllabus (Pick Your Major)
- URL: https://www.youtube.com/watch?v=TOcuNnbzAVs
- Topic: Codex + Claude Workflows
- My current learning frame: Pick the one major that matches your actual role, calendar its courses one per week, and ship its capstone — a working Cowork automation, MCP-connected agent, or deployed cloud workflow — before touching any other track.
- Why this matters: New playlist item from Hyperautomation Labs; queued for transcript-backed review, topic mapping, and a practical learning artifact.

Transcript anchors from this exact video:
- 1:10 / Evidence 1: "they've added five new ones. Claude Code 101, Claude Cowwork, Sub Aents, agent skills, and a sharp little course called AI capabilities and limitations. That's the good news. The bad news is the catalog is a pile, not..."
- 2:44 / Evidence 2: "mental model. How to actually think with these tools instead of just typing into a box. Week two, claude 101. This is hands-on driving projects, prompts, working with your own files. Week three is the one I'd fight..."
- 4:37 / Evidence 3: "use, system prompts, real architecture. Don't rush it. This is the spine of everything. Week four, introduction to model context protocol. MCP is how you give your agent hands. Real tools, real data, not just chat. And week..."
- 6:27 / Evidence 4: "Production patterns, security, the stuff that keeps you employed. Capstone. Deploy one clawed workflow on your company's cloud. A retrieval system or a small agent behind real access controls. That's not homework. That's a project you put on..."
- 7:57 / Evidence 5: "can build. No hiring manager has ever been moved by completed an online course. What moves them is the capstone, the automation you handed to co-work, the agent you shipped, the workflow you deployed. So flip the whole..."

Your task:
1. Use the transcript anchors above as the primary source packet. If you add outside context, label it clearly as outside context and keep it secondary.
2. Create a source-check table with columns: timestamp, claim, what the demo proves, confidence, and what still needs verification.
3. Extract the actual teachable claims from the video. Do not invent claims that are not supported by the title, lesson frame, or transcript anchors.
4. Build a reusable learning artifact: A routing matrix for when to use Codex, Claude, browser checks, or manual review.
5. Include:
   - a plain-English definition of the core idea
   - a diagram or structured model using this sequence: Inspect -> Plan -> Edit -> Verify -> Review -> Route
   - 3 concrete examples that apply the video idea to real agentic work
   - 2 failure modes the video helps prevent
   - a checklist I can use the next time I run Codex or Claude
   - one practical exercise with a clear done signal
6. Add a "learning transfer" section: what changes in my workflow tomorrow if I actually learned this?
7. Add a "source check" section that cites which transcript anchor supports each major takeaway.

Quality bar:
- Make this specific to "Anthropic's $0 AI Degree — I Built the Exact Syllabus (Pick Your Major)", not a generic Codex + Claude Workflows essay.
- Prefer operational examples, failure modes, and reusable artifacts over broad definitions.
- Call out uncertainty instead of smoothing over weak evidence.
- If evidence is weak, say what transcript segment or timestamp needs review instead of guessing.
- Finish with a concise artifact I could paste into my learning app.