Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.

New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Market Data, Data Preprocessing, Deep Learning, Python Programming, Feature Engineering, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Performance Metric
★ 3.9 (378) · Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
★ 4 (495) · Intermediate · Specialization · 3 - 6 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, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management
★ 4.6 (1.1K) · Intermediate · Specialization · 3 - 6 Months

Pearson
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Machine Learning Methods, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms
★ 4.5 (97) · Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Self-Awareness, Teaching, Education and Training, Empathy & Emotional Intelligence, Journals, Pedagogy, Empathy, Growth Mindedness, Tenacity, Persistence, Relationship Building
★ 4.7 (710) · Advanced · Course · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)
★ 4.5 (91) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Recurrent Neural Networks (RNNs), Fine-tuning, Image Analysis, Generative Adversarial Networks (GANs), Model Training, Computer Vision, Natural Language Processing, Scalability, Reinforcement Learning, Distributed Computing
★ 4.3 (150) · Intermediate · Course · 1 - 3 Months

Lund University
Skills you'll gain: Prompt Engineering, AI literacy, Brainstorming, Personal Integrity, AI Integrations, Ethical Standards And Conduct, Digital pedagogy, Learning Strategies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Machine Learning Methods, Model Training, Predictive Modeling, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis, Performance Measurement
★ 4.3 (28) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: AI Personalization, Education Software and Technology, Driving engagement, Responsible AI, Learning Management Systems, Data-Driven Decision-Making, Prompt Engineering, Analytics, Data Ethics, Artificial Intelligence, Generative AI, Quality Assurance, Data Analysis, Analytical Skills
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Education Software and Technology, Collaborative Software, Digital pedagogy, Learning Management Systems, Content Management
Beginner · Guided Project · Less Than 2 Hours