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: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming
Beginner · Course · 3 - 6 Months

Skills you'll gain: Engineering Analysis, Thermal Management, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Chemical Engineering, Scientific Visualization, Physics
Intermediate · Course · 1 - 3 Months

Cleveland Clinic
Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Strategic Leadership, Strategic Decision-Making, Business Transformation, Business Strategy, Data-Driven Decision-Making, AI Enablement, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Technology Roadmaps
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Model Evaluation, Statistical Analysis
Advanced · Course · 1 - 4 Weeks