Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Graphic Design
Computer Science
Cybersecurity
Max MSP Programming Course: Structuring Interactive Software for Digital Arts
Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Psychology of Personal Growth
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Classification, earn certificates with free online courses from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world. Read reviews to decide if a class is right for you.
Deep dive into machine learning algorithms, covering regression, classification, clustering, image and text analysis, reinforcement learning, and forecasting. Gain theoretical knowledge and hands-on experience for AWS ML certification.
Build Real World Applications of Natural Language Processing [COMPLETE PROJECT]
Explore text embeddings for classification, clustering, and semantic search. Learn to build Q&A systems using Vertex AI, combining embeddings with LLM capabilities for enhanced text analysis and applications.
In this course, you'll learn how to use tree-based models and ensembles for regression and classification using scikit-learn.
Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects
Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.
Start your journey developing AI-powered applications with the OpenAI API. Learn about the functionality that underpins popular AI applications like ChatGPT.
Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.
Master Complete Hands-On Regression Analysis & Classification for applied Statistical Modelling & Machine Learning in R
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Learn how to develop deep learning models with Keras.
Explore artificial neural networks, convolutional and recurrent networks for image, time-series, and text analysis. Gain hands-on experience with Keras and Python in this beginner-friendly introduction to deep learning.
Learn all the skills you need to leverage Amazon's powerful platform for your predictive analytics needs.
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.
Get personalized course recommendations, track subjects and courses with reminders, and more.