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 Glasgow
Skills you'll gain: NumPy, Generative AI, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), LLM Application, Deep Learning, Python Programming, Prompt Engineering, Feature Engineering, Operations Research, Dimensionality Reduction, Algorithms, Object Oriented Programming (OOP), Mathematical Modeling, Matplotlib, Data Structures, Unit Testing, Data Visualization, Performance Analysis
Intermediate · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Exploratory Data Analysis, Machine Learning, Python Programming, Artificial Neural Networks
★ 4.6 (3.3K) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Logistic Regression, Model Optimization
★ 4.7 (18K) · Intermediate · Course · 1 - 3 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Project Management
★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: NumPy, Jupyter, Applied Machine Learning, Tensorflow, Machine Learning Methods, Machine Learning, Machine Learning Software, Development Environment, Package and Software Management, Python Programming, Numerical Analysis, Linux, Environment
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Applied Machine Learning, Model Evaluation, Interviewing Skills, Model Training, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Predictive Analytics, Technical Communication, Classification Algorithms
Mixed · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Anomaly Detection, Feature Engineering, Fraud detection, Unsupervised Learning, Continuous Monitoring, Autoencoders, MLOps (Machine Learning Operations), Machine Learning Methods, Model Training, Applied Machine Learning, Model Deployment, Statistical Analysis, Taxonomy
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Decision Making, Systems Thinking, Problem Solving, Self-Awareness, Cost Benefit Analysis
★ 4.4 (32) · Beginner · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Supervised Learning, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
★ 4.6 (7) · Intermediate · Specialization · 3 - 6 Months

Edureka
Skills you'll gain: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
★ 4.6 (63) · Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis
★ 4.5 (3.3K) · Mixed · Course · 1 - 4 Weeks