Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.
University of Michigan
Skills you'll gain: Pandas (Python Package), Statistical Analysis, Data Manipulation, Data Cleansing, Data Analysis, Probability & Statistics, Sampling (Statistics), NumPy, Pivot Tables And Charts, Statistical Hypothesis Testing, Jupyter, Python Programming, Data Import/Export, Programming Principles
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · Course · 1 - 4 Weeks

Dartmouth College
Skills you'll gain: Supervised Learning, Model Evaluation, Predictive Modeling, Regression Analysis, Machine Learning, Statistical Modeling, Logistic Regression, Probability & Statistics, Classification Algorithms
Build toward a degree
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Supervised Learning, Autoencoders, Feature Engineering, Classification Algorithms, Data Cleansing, Keras (Neural Network Library), Statistical Inference, Time Series Analysis and Forecasting, Generative Adversarial Networks (GANs), Data Preprocessing, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Applied Machine Learning, Scikit Learn (Machine Learning Library), Deep Learning, Data Science, Machine Learning, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, MLOps (Machine Learning Operations), Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Data Preprocessing, Artificial Intelligence, Unsupervised Learning, Classification Algorithms, Reinforcement Learning, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Machine Learning, Applied Machine Learning, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Python Programming, Decision Tree Learning, Regression Analysis, Dimensionality Reduction, Classification Algorithms, Data Preprocessing, Logistic Regression
Intermediate · Course · 1 - 3 Months