CS50's Introduction to Artificial Intelligence with Python
Learn to use Machine Learning in Python in this introductory course on Artificial Intelligence from Harvard University.
Master Artificial Intelligence, Machine Learning, Deep Learning, and Data Engineering with free world-class courses from Harvard, Stanford, MIT, DeepLearning.AI, Google, and Kaggle.
Learn to use Machine Learning in Python in this introductory course on Artificial Intelligence from Harvard University.
The world-famous foundational program taught by AI pioneer Andrew Ng, updated for modern machine learning practices using NumPy and TensorFlow.
A practical, top-down approach to deep learning that gets coders building state-of-the-art vision, text, and tabular models from day one.
MIT's official introductory course on deep learning methods with applications in computer vision, robotics, medicine, and generative AI.
Gain in-demand data analysis skills using SQL, R, and Tableau directly from Google data scientists to prepare for entry-level data roles.
The definitive mathematical machine learning course taught at Stanford by Andrew Ng, covering statistical learning theory and algorithmic foundations.
Master state-of-the-art NLP, Large Language Models (LLMs), and Hugging Face libraries for building real-world AI applications.
Bite-sized, interactive hands-on coding micro-courses designed to teach actionable Data Science skills in hours instead of months.
A 24-lesson open-source curriculum by Microsoft engineers exploring classical AI, Neural Networks, Computer Vision, and Generative AI.
Bridge the gap between math and machine learning. Master linear algebra, multivariate calculus, and PCA essential for data algorithms.
Stanford's flaghsip graduate course on deep learning for natural language processing, covering Word2Vec to modern Large Language Models (LLMs).
Kickstart your career with IBM's free introductory path covering data science methodology, Python basics, and real-world case studies.
Try clearing some filters or searching for alternative topics like Python, PyTorch, or Machine Learning.