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: Decision Making, Systems Thinking, Problem Solving, Self-Awareness, Cost Benefit Analysis
★ 4.5 (39) · Beginner · Specialization · 1 - 3 Months

Vanderbilt University
Skills you'll gain: ChatGPT, Prompt Engineering, Agentic Workflows, Claude Code, Prompt Patterns, Generative AI Agents, AI Enablement, Prompt Engineering Tools, AI powered creativity, Multimodal Prompts, AI Product Strategy, Anthropic Claude, AI Orchestration, Agentic systems, Generative AI, AI Workflows, AI Personalization, AI Integrations, AI Security, Responsible AI
★ 4.8 (11K) · Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Machine Learning Methods, Random Forest Algorithm, Model Optimization, Model Evaluation, Python Programming, Performance Tuning
★ 4.8 (652) · Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Natural Language Processing, Embeddings, Model Evaluation, Recurrent Neural Networks (RNNs), Computer Vision, Reinforcement Learning, Convolutional Neural Networks, Large Language Modeling, Model Optimization, Model Training, Data Preprocessing, Cloud Deployment, Applied Machine Learning, Feature Engineering, Machine Learning, Machine Learning Algorithms
★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, Unsupervised Learning, Predictive Modeling, Bayesian Statistics, Model Training, Logistic Regression, Deep Learning, Decision Tree Learning, Statistical Machine Learning, Transfer Learning, Application Development, Statistical Inference, Model Optimization
★ 4.6 (16K) · 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

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 (64) · Intermediate · Specialization · 3 - 6 Months

John Wiley & Sons
Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Data Science, Logistic Regression, Data Preprocessing, Embeddings
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Web Frameworks, Rust (Programming Language), DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data
★ 4.1 (236) · Advanced · Course · 1 - 3 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

O.P. Jindal Global University
★ 3.9 (9) · Beginner · Course · 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