I would recommend auditing Stanford courses in following order: 1. CS231n Machine Vision https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31A

I would recommend auditing Stanford courses in following order: 1. CS231n Machine Vision https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC https://www.youtube.com/playlist?list=PLkt2uSq6rBVctENoVBg1T... 2. CS234 Reinforcement Learning https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4rOSOPzutgyCTapiGlY2Nd8u https://www.youtube.com/watch?v=FgzM3zpZ55o&list=PLoROMvodv4... 3. CS330 Meta Learning https://www.youtube.com/watch?v=0rZtSwNOTQo&list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5 https://www.youtube.com/watch?v=0rZtSwNOTQo&list=PLoROMvodv4... Those will get you on track with general concepts about reasoning, AI engineering and concepts of learning itself Language models for me a bit of headache because there're in different domain on intersection with linguistics and humanities but here's a good course https://www.youtube.com/watch?v=rha64cQRLs8&list=PLoROMvodv4rPt5D0zs3YhbWSZA8Q_DyiJ https://www.youtube.com/watch?v=rha64cQRLs8&list=PLoROMvodv4... Those are all free and high-quality but require a lot of brain power