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.

IBM
Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Visualization, Model Evaluation, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Generative AI, Professional Networking, Data Import/Export
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

SkillUp
Skills you'll gain: Clinical Informatics, Clinical Research, Artificial Intelligence, MLOps (Machine Learning Operations), Health Informatics, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Analysis
Intermediate · Course · 1 - 4 Weeks

AI CERTs
Skills you'll gain: AI Personalization, Applied Machine Learning, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Multimodal Prompts, Prompt Engineering, Data Presentation, Prompt Patterns, AI Enablement, Graphing, AI Personalization, Generative AI, Data Synthesis, Email Automation, Artificial Intelligence, Complex Problem Solving, Ideation, Business Correspondence, Report Writing, Solution Design, Critical Thinking, Document Management, Machine Learning
Beginner · Specialization · 1 - 4 Weeks

Politecnico di Milano
Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, AI Enablement, Artificial Intelligence, General Data Protection Regulation (GDPR), Personally Identifiable Information, AI Security, Dimensionality Reduction, Legal Technology, Taxonomy, Cloud Platforms, Social Impact, Social Studies
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Deep Learning, Visualization (Computer Graphics), Plot (Graphics), Artificial Neural Networks
Intermediate · Specialization · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Convolutional Neural Networks, Regression Analysis, Classification Algorithms, Business Ethics, Governance
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings, Data Pipelines, Algorithms
Advanced · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Model Evaluation, Linear Algebra
Mixed · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Generative AI, Artificial Intelligence, Technical Design, Machine Learning, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Algorithms
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Deep Learning, Model Evaluation, Algorithms, Data Analysis, Process Improvement and Optimization, Artificial Neural Networks
Mixed · Course · 1 - 3 Months