AI Career KGlearn free · attest strategically

How this site works.

Three minutes to understand the model, then every page makes sense.

1. The core idea

Everything you need to learn for a tech career is free — MIT OCW, fast.ai, CS50, vendor academies. Money should only buy attestation, and only where it changes an outcome. This site separates those two decisions: learn here for free, attest there for money, and never confuse a completion trophy with a credential that carries weight.

2. How employers see it (the three bands)

Every credential sits in one of three bands — not a score, a plain-language read of employer recognition:

HR-recognized
Recruiters know it on sight; it opens interviews (AWS/Azure/CompTIA/ANAB/NVIDIA/Anthropic).
Respected
Proves real knowledge to a technical reader; HR may need it explained (Hugging Face, DeepLearning.AI, fast.ai, Stanford).
Signal
Completion trophy; shows effort, weak standalone proof (most free MOOC badges).

A free credential can be HR-recognized. A paid one can be only Signal. That gap is the trap this site exists to warn about.

3. "Free" decomposes three ways

free content + free credential
Genuinely free end-to-end (rare, valuable).
free content + paid credential
Learn free, pay only to attest (the strategic sweet spot).
free content + no credential
Learn free, prove it with a project instead.

4. The 4-slot build

Trust AnchorAn accredited or high-rigor credential.
Ecosystem MatchesVendor certs for target employers.
Currency LayerCerts that signal ongoing learning.
Proof SlotA project where no credential exists.

5. Honesty