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An ex-Google engineer just dropped a free 2-hour course on graph engineering and AI agents From prompts to self-improving agents 👇 0% → 00:00 - know when to use loops vs graphs 20% → 20:29 - benchmark 5 memory layers head to head 40% → 49:29 - 8 lessons... from AI founders and investors 60% → 1:08:17 - see how a self-improving agent learns 80% → 1:28:12 - wire up tracing and evals 100% → 1:47:15 - understand semantic vs episodic memory Most people still think an agent is just a prompt with tools This shows what actually runs around the model, with open-source code and live demos Worth more than most paid agent courses Bookmark it and watch this weekend 👇show more

spect

12,612 subscribers

24,035 views • 7 days ago •via X (Twitter)

Anya Rossi• Live Now

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8 Comments

Gipp 🦅7 days ago

bro a free 2-hour course? bookmarking now

spect6 days ago

2 hours, completely free this is advice from a real ex google engineer

nyk6 days ago

For self-improving agents, checkpoint logs expose where memory layers drift across loops; which failure mode showed up first? Context Engineering Is The Only Engineering That Matters Now

beamnxw ./7 days ago

amazing breakdown!

boan7 days ago

free courses like this are good

AI Mastery Guide6 days ago

free 2 hour course, gotta save this

Yumzlef7 days ago

what you're doing with content like this actually matters — people are going to apply this and it's going to help them

0xSlyth7 days ago

this is the real shit right here

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