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.

Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Autoencoders, Anomaly Detection, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Classification Algorithms, Data Preprocessing, Random Forest Algorithm, Data Manipulation, Feature Engineering, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Matplotlib, Supervised Learning, Statistical Analysis
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms
Intermediate · Course · 1 - 3 Months

University of Glasgow
Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms
Beginner · Course · 1 - 4 Weeks

New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Model Deployment, Data Pipelines, Data Preprocessing, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning
Intermediate · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Classification And Regression Tree (CART), AI Personalization, Marketing Analytics, Unsupervised Learning, Customer Analysis, Predictive Analytics, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Marketing Effectiveness, Marketing Strategies, Data-Driven Decision-Making, Strategic Marketing, Campaign Management, Customer experience improvement, Personalized Service, Customer Insights, Model Evaluation, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Predictive Modeling, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Preprocessing
Mixed · Course · 1 - 4 Weeks