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.

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

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Evaluation, Machine Learning, Applied Machine Learning
★ 4.8 (3.4K) · Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Analysis, Machine Learning Methods, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Regression Analysis
★ 3.9 (15) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Supervised Learning, Model Optimization, Feature Engineering, Pandas (Python Package), Data Wrangling, Exploratory Data Analysis, Data Quality, Model Training, Data Cleansing, Applied Machine Learning, Data Manipulation, Data Transformation, Classification And Regression Tree (CART), Data Analysis, Data Pipelines, Machine Learning, Data Modeling, Data Validation, Data Architecture
Intermediate · Specialization · 3 - 6 Months

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning Algorithms, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Model Training, Machine Learning, Financial Market, Derivatives, Markov Model, Finance, Tensorflow
★ 3.7 (826) · Intermediate · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Machine Learning Algorithms, Machine Learning, Python Programming, Computational Thinking
Intermediate · Specialization · 3 - 6 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Data Collection, Supervised Learning, Business Requirements, Unsupervised Learning, Artificial Intelligence
★ 4.7 (749) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Feature Engineering, Data Preprocessing, NumPy, Plot (Graphics), Tensorflow, Pandas (Python Package), Data Visualization, Model Training, Statistical Visualization, Data Wrangling, Jupyter, Applied Machine Learning, Seaborn, Statistical Machine Learning, Data Engineering, Machine Learning, Development Environment, Network Model, Network Engineering
Beginner · Specialization · 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: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, Plot (Graphics), Exploratory Data Analysis, Model Evaluation, Interactive Data Visualization, Data Cleansing, Data Preprocessing, Data Analysis, Python Programming, Data Science, NumPy, Machine Learning
★ 4.6 (62K) · Beginner · Specialization · 3 - 6 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 (8) · Intermediate · Specialization · 3 - 6 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 (19K) · Intermediate · Course · 1 - 3 Months