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.

Tsinghua University
Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Emerging Technologies, Digital Transformation, Innovation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Unsupervised Learning, Deep Learning, Machine Learning Methods, Autoencoders, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Model Training, Machine Learning, Machine Learning Software, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Classification Algorithms, Random Forest Algorithm, Data Import/Export, Model Optimization, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: LLM Application, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Fine-tuning, Model Training
Beginner · Course · 1 - 4 Weeks

Deep Teaching Solutions
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Creative Thinking, AI Personalization, AI literacy, ChatGPT, Ideation, Creativity, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Image Analysis, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Childhood Education and Development, Education Software and Technology, Education and Training, Human Learning, Child Development, School Psychology, Pedagogy, Human Development, Higher Education, Psychological Evaluations, Learning Theory, Psychology, Applied Behavior Analysis, Social Sciences
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Cloud Computing, Containerization, Application Deployment, Amazon Web Services, Restful API, DevOps, CI/CD, Microsoft Azure, Public Cloud, Microservices, Devops Tools
Beginner · Specialization · 1 - 3 Months

Edureka
Skills you'll gain: Machine Learning Methods, Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Machine Learning Algorithms, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Model Training, Artificial Neural Networks, Data Preprocessing, Model Optimization
Beginner · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Problem Solving, Overcoming Obstacles, Mental Concentration, Learning Theory
Beginner · Course · 1 - 4 Weeks

Politecnico di Milano
Skills you'll gain: Developing Training Materials, Educational Materials, Classroom Management, Course Development, Blended Learning, Teaching, Instructional and Curriculum Design, Interactive Learning, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Knowledge Transfer, Student Engagement, Resource Utilization, Network Planning And Design, Infographics
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Modeling, Data Science, Predictive Analytics
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction
Beginner · Course · 1 - 3 Months