Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.

Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Predictive Analytics, Applied Machine Learning, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Data-Driven Decision-Making
Mixed · Course · 1 - 4 Weeks

Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming
Mixed · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
Intermediate · Specialization · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Pseudocode, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Reinforcement Learning, Generative Model Architectures, Data Cleansing, Data Access, Deep Learning, Data Analysis, Applied Machine Learning, Predictive Modeling, Statistical Inference, Data Science, Machine Learning Algorithms, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Illinois Tech
Skills you'll gain: Deep Learning, Generative AI, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Network Architecture, Tensorflow, Computer Vision, Natural Language Processing, Machine Learning, Performance Tuning
Build toward a degree
Beginner · Course · 1 - 3 Months

MathWorks
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning, Control Systems, Simulations
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms
Build toward a degree
Intermediate · Specialization · 3 - 6 Months