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.

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Decision Tree Learning, Artificial Neural Networks, Artificial Intelligence, Algorithms, Data-Driven Decision-Making
Beginner · Course · 1 - 4 Weeks

Yonsei University
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Machine Learning Methods, Recurrent Neural Networks (RNNs), Technology Strategies, Business Strategy, Machine Learning Software, Business Modeling, Business Strategies, Artificial Intelligence, Machine Learning, Company, Product, and Service Knowledge, Unsupervised Learning
★ 4.4 (687) · Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Generative AI, Image Analysis, Machine Learning Methods, Embeddings, Generative Model Architectures, Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Model Deployment, Artificial Neural Networks, Supervised Learning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Health Care, Big Data
★ 3.3 (51) · Advanced · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Kubernetes, Cloud-Native Computing, Model Training, DevOps, AI Workflows, CI/CD, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Data Pipelines, Docker (Software), Machine Learning Algorithms, Data Science, Data Validation, Python Programming, Artificial Intelligence, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis
Intermediate · Specialization · 1 - 3 Months

Columbia University
Skills you'll gain: Digital pedagogy, Blended Learning, Education Software and Technology, Student Engagement, Learning Management Systems, Digital Transformation, Collaborative Software, Curriculum Development, Teaching, digital literacy, Content Management Systems, Web Design and Development, Web Presence, Content Management, Planning, Research, Auditing
Beginner · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Risk Modeling, Financial Modeling, Portfolio Management, Model Optimization, Market Dynamics, Machine Learning, Machine Learning Algorithms
★ 3.6 (134) · Advanced · Course · 1 - 4 Weeks

Politecnico di Milano
Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Interactive Learning, Instructional Design, Innovation, Learning Strategies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization
★ 4.4 (17) · Beginner · Course · 1 - 4 Weeks

Politecnico di Milano
Skills you'll gain: Large Language Modeling, LLM Application, Learning Strategies, Education Software and Technology, AI Personalization, AI literacy, Lifelong Learning, Human Learning, Adult Learning Principles, Student-Centred Learning, Generative AI, Critical Thinking, Goal Setting
★ 5 (12) · Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, LLM Application, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Agentic Workflows, Agentic systems, Jupyter
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Training and Development, Training Programs, Employee Training, Knowledge Transfer, On-The-Job Training, Learning Theory, Motivational Skills, Lifelong Learning, Willingness To Learn, Human Learning, Organizational Change, Performance Measurement, Change Management, Learning Strategies, Overcoming Obstacles
★ 4.5 (232) · Beginner · Course · 1 - 4 Weeks