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.

Johns Hopkins University
Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Mathematics Education, Digital pedagogy, Professional Development, Problem Solving, Project Design, Critical Thinking, Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export, Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage
Intermediate · Course · 1 - 3 Months

LearnKartS
Skills you'll gain: Generative AI, Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Machine Learning, Model Training
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

École Polytechnique
Skills you'll gain: Language Competency, Grammar, Language Learning, Intercultural Competence, Oral Comprehension, Multilingualism, Oral Expression, Cultural Diversity, Higher Education, Vocabulary, Writing, Cultural Sensitivity, Education and Training
Intermediate · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Team Performance Management, Systems Thinking, Cognitive flexibility, Team Building, Knowledge Transfer, Team Management, Innovation, Teamwork, Organizational Development, Organizational Effectiveness, Organizational Leadership, Dealing With Ambiguity, Organizational Structure, Adaptability, Performance Analysis, Creativity, Discussion Facilitation, Culture
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Data Analysis, Analytics, Big Data, Applied Machine Learning, Model Training, Google Cloud Platform, Machine Learning Algorithms, Machine Learning, SQL
Beginner · Course · 1 - 4 Weeks

Commonwealth Education Trust
Skills you'll gain: Pedagogy, Communication Strategies, Teaching, Education and Training, Instructional Strategies, Classroom Management, Student Engagement, Professional Development, Diversity Awareness, Cultural Responsiveness, Self-Awareness
Mixed · Course · 1 - 3 Months

Minnesota State University, Mankato
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Statistical Visualization, Predictive Modeling, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Data Science, Predictive Analytics, Data Manipulation, Deep Learning, Data Wrangling, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months