Core Courses
- https://www.coursera.org/learn/machine-learning (Andrew Ng’s Machine Learning, Stanford—foundational, audit free)
- https://www.coursera.org/specializations/deep-learning (Deep Learning Specialization by Andrew Ng)
- https://www.coursera.org/learn/ai-for-everyone (AI for Everyone, non-technical intro)​
- https://cs50.harvard.edu/ai (Harvard CS50 AI with Python, free via edX)​
- https://www.deeplearning.ai/courses/ai-for-everyone (DeepLearning.AI intro)
- https://www.coursera.org/learn/python-machine-learning-google (Google ML Crash Course extension)​
- https://www.edx.org/learn/artificial-intelligence (MIT/Harvard AI courses, free audit)​
- https://www.udacity.com/course/intro-to-machine-learning–ud120​
- https://skillsbuild.org/adult-learners/explore-learning/artificial-intelligence (IBM AI skills courses)​
- https://www.coursera.org/specializations/ai-foundations-for-everyone (IBM AI Foundations)​
Interactive Platforms
- https://www.kaggle.com/learn (Kaggle micro-courses on ML/AI, datasets, notebooks)
- https://developers.google.com/machine-learning/crash-course (Google ML Crash Course)​
- https://learn.deeplearning.ai (DeepLearning.AI short courses)​
- https://www.fast.ai (Practical deep learning, free courses)​
- https://ocw.mit.edu/courses/6-034-artificial-intelligence-fall-2010/ (MIT OpenCourseWare AI)​
- https://www.learnpython.org (Python for AI basics)
- https://pythontutor.com (Visualize AI code execution)
- https://www.codecademy.com/learn/learn-python-3Â (Python path to AI)
YouTube Channels & Videos
- https://www.youtube.com/c/3blue1brown (Neural networks series)​
- https://www.youtube.com/c/StatQuestwithJoshStarmer (ML concepts visually)​
- https://www.youtube.com/c/TwoMinutePapers (AI paper breakdowns)​
- https://www.youtube.com/c/Sentdex (Python AI/ML tutorials)​
- https://www.youtube.com/c/CoreyMSchafer (Python for data/AI)​
- https://www.youtube.com/c/deeplizard (Deep learning playlists)​
- https://www.youtube.com/c/YannicKilcher (AI research reviews)​
- https://www.youtube.com/c/MatthewBerman (AI tools/models)​
Books & Readings (Free PDFs/HTML)
- https://www.deeplearningbook.org (Ian Goodfellow’s Deep Learning book)​
- https://jmlr.org/papers/ (Journal of ML Research papers)​
- https://arxiv.org/list/cs.AI/recent (Latest AI preprints)​
- https://aim.gov.in/Lets_learn_AI_Base_Module.pdf (India AI base module)​
- https://www.fullstackpython.com/machine-learning.html (ML guide)
- https://futurecoder.io (Interactive AI/Python book)
Advanced & Specialized
- https://huggingface.co/learn (NLP/transformers courses)​
- https://www.tensorflow.org/tutorials (TensorFlow guides)​
- https://pytorch.org/tutorials (PyTorch tutorials)​
- https://scikit-learn.org/stable/tutorial (Scikit-learn ML)​
- https://aws.amazon.com/training/digital/?tag=ai (AWS free AI/ML)​
- https://intel.com/content/www/us/en/developer/topic-technology/artificial-intelligence/overview.html (Intel AI courses)​
Start Here
Begin with AI for Everyone or Andrew Ng’s ML course for basics, then practice on Kaggle. Use NotebookLM for summarizing these into audio overviews, aligning with your workflow.