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.

MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
Beginner · Specialization · 1 - 3 Months

MathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Deep Learning, Data Validation
Beginner · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Health Technology, Analytics, Data Preprocessing, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Artificial Intelligence, Social Determinants Of Health, Home Health Care, Generative AI, Business Process Improvement
Mixed · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Regression Analysis, Data Modeling, Statistical Analysis, Business Intelligence, Data Storytelling, Machine Learning, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning
Mixed · Course · 1 - 4 Weeks

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Statistical Modeling, Data Modeling, Forecasting, Supervised Learning, Regression Analysis, Feature Engineering, Scikit Learn (Machine Learning Library), Data Preprocessing, Unsupervised Learning, Machine Learning, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Deep Learning, Data Preprocessing, Data Manipulation, Applied Machine Learning, Model Deployment, Artificial Neural Networks, Embeddings, Matplotlib
Intermediate · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
Intermediate · Professional Certificate · 1 - 3 Months