AI course for PM

Curated this for a friend: ML/AI Learning Program Reiteration of concepts will be required. It is recommended to study each new concept from multiple sources outside this list.

1. Linear Algebra (watch in order) Vectors: https://youtu.be/fNk_zzaMoSs?si=QMzjlpERTuHhO3sl Linear Combinations: https://youtu.be/k7RM-ot2NWY?si=DUVI32Q9YDe15Gqd Linear Transformations (intro to Matrices): https://youtu.be/kYB8IZa5AuE?si=jvXtSuroXqIaI137 Matrix Multiplication: https://youtu.be/XkY2DOUCWMU?si=0TzSqJV-_uz__Sal 3D linear Transformations: https://youtu.be/rHLEWRxRGiM?si=XtcFB5XeCCNtprtg Objects as Vectors: https://medium.com/@shaileshrana1995/ai-explained-objects-as-vectors-83c6c40c843f
2. Machine Learning Basics: https://youtu.be/PeMlggyqz0Y?si=h911nQqZnR4T42Q- Feature Engineering: https://youtu.be/pYVScuY-GPk?si=5QaSkGKzC94a_t3W Train and Test Data: https://youtu.be/fwY9Qv96DJY?si=vlhpQJpjcSAqOU5F Machine Learning Algorithms (Overview): https://youtu.be/W01tIRP_Rqs?si=CGkbwhoeoozhB1v9 Types of ML techniques: https://youtu.be/1FZ0A1QCMWc?si=n_kITSW1F_ro7ao3 Unsupervised Learning: https://youtu.be/JnnaDNNb380?si=s5748zD7ra6Zh4AE Supervised Learning: https://youtu.be/4qVRBYAdLAo?si=iyYJABPTMrO6qB1f A.I. Learns to play Flappy Bird: https://www.youtube.com/watch?v=WSW-5m8lRMs Full ML Project Implementation: https://www.youtube.com/live/p_tpQSY1aTs?si=1z5GruaBy9h46BoR AI Learns to play Trackmania 1: https://youtu.be/Dw3BZ6O_8LY?si=-YneJ-4QwGtxps5g AI Learns to play Trackmania 2: https://youtu.be/Dw3BZ6O_8LY?si=JrbtL2iBffjDQuZu
3. Neural Networks Deep Learning Basics: https://youtu.be/6M5VXKLf4D4?si=vLDEjPV0JqsnGvdU Perceptron: https://youtu.be/ntKn5TPHHAk?si=NL3AdQGQQB5NviRk 3B1B Neural Network Playlist First 4 Videos: https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&si=Xg8nOnws03pjeQwO Neural Network Article: https://medium.com/@shaileshrana1995/ai-simplified-machine-learning-basics-f579a90ddd0e Image Classification using Neural Network: https://youtu.be/t0EzVCvQjGE?si=qasTNbSAB_vGzKTo ChatGPT History: https://youtu.be/OFS90-FX6pg?si=K0RD0iHzc9BRp02q Intro to Large Language Models: https://youtu.be/zjkBMFhNj_g?si=9OpB8eMg-4yWn_eH 3B1B Neural Network Playlist 5th Video Onwards: https://youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&si=Xg8nOnws03pjeQwO How ChatGPT Learns Language: https://medium.com/@shaileshrana1995/ai-explained-how-to-teach-an-old-computer-new-words-61d65a41e1b5 Code ChatGPT from Scratch: https://youtu.be/kCc8FmEb1nY?si=M3gMjfZeEVcr_3S7
4. Further Reading ChatGPT explained completely: https://youtu.be/-4Oso9-9KTQ?si=WsuytPODQnP_-ahG Diffusion Models: https://youtu.be/HoKDTa5jHvg?si=RcKTmOQHjmjq9ywl How AI understands image: https://youtu.be/KcSXcpluDe4?si=8tjvy6XHsYVfnOoY
5. Recommended Channels (in order of importance) Computerphile: https://www.youtube.com/@Computerphile/videos Stat Quest: https://www.youtube.com/@statquest/videos Anderj Karpathy: https://www.youtube.com/@AndrejKarpathy/videos AI Explained: https://www.youtube.com/@aiexplained-official/videos Code Basics: https://www.youtube.com/@codebasics/videos Krish Naik: https://www.youtube.com/@krishnaik06

On coursera you can find IBM AI Product Manager professional certification and AI Product Management specialisation 3courses. More than learnings look for offline projects to implement these learnings and it should be useful after that.