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.

Fractal Analytics
Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Random Forest Algorithm, Algorithms, Predictive Modeling
★ 3.7 (15) · Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Python Programming, Logistic Regression, Model Optimization, Regression Analysis
★ 4.9 (33K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Generative AI, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Reinforcement Learning, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Dimensionality Reduction, Model Optimization
★ 4.7 (71) · Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Supervised Learning, Model Optimization, Model Training, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Methods, Decision Tree Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Model Evaluation, Logistic Regression, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.9 (14) · Beginner · Specialization · 1 - 3 Months

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

Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Predictive Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Model Training, Risk Modeling, Data Science, Logistics, Data Analysis, Analytics, Financial Statement Analysis, Supply Chain Management, Data Transformation, Machine Learning, Business
★ 5 (14) · Beginner · Specialization · 1 - 3 Months

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Regression Analysis, Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Tensorflow, Logistic Regression, Pandas (Python Package)
★ 3.9 (25) · Intermediate · Course · 1 - 3 Months

O.P. Jindal Global University
★ 3.9 (9) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Data Ethics, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Supervised Learning
★ 4.3 (181) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Transfer Learning, Artificial Intelligence, Federated Learning, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Microsoft Azure, Information Privacy
★ 4.7 (55) · Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Machine Learning, Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Transformation, Decision Tree Learning, Data Quality
★ 4.6 (2.5K) · Mixed · Course · 1 - 3 Months