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.

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Medical Equipment and Technology, Data Ethics, AI Personalization, Kinesiology, Artificial Intelligence and Machine Learning (AI/ML), Preventative Care, Biomedical Engineering, Data Collection
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Predictive Modeling, Data Science, Analytical Skills, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation, Data Preprocessing, R Programming, Machine Learning, Natural Language Processing
Mixed · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Classification Algorithms, Applied Machine Learning, Design Thinking, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Data Cleansing, Data Preprocessing, Regression Analysis, Tensorflow, Statistical Methods, Logistic Regression
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Amazon Web Services, Tensorflow, Applied Machine Learning, Machine Learning Methods, Natural Language Processing, Classification Algorithms, Software Design, Application Development, Supervised Learning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Employee Performance Management, Recruitment Strategies, Human Capital, Full Cycle Recruitment, Talent Acquisition, Human Resources Management and Planning, Compensation Analysis, People Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Marketing Automation, Marketing Analytics, Digital Marketing, MarTech, Predictive Analytics, Advanced Analytics, Predictive Modeling, Analytics, Marketing, Marketing Strategies, Customer Analysis, Digital Advertising, Marketing Channel, Data Analysis, Natural Language Processing, Automation, Data Ethics, Business Ethics, Video Production, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Google Cloud Platform, Dataflow, Data Lakes, Data Pipelines, Big Data, Tensorflow, Apache Spark, Data Migration, Data Warehousing, Data Infrastructure, Data Architecture, Unstructured Data, Apache Hadoop, Applied Machine Learning, Real Time Data, Extract, Transform, Load, Data Processing, PySpark, Cloud Storage
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Data Preprocessing, Machine Learning Algorithms, Statistical Analysis, Model Evaluation, Data Analysis, Statistical Methods, Data Visualization
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Gemini, Google Workspace, Productivity Software, Generative AI, AI Enablement, AI Workflows, Prompt Engineering, Responsible AI, Operational Efficiency, Business Workflow Analysis, Human Factors, Complex Problem Solving
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Technical Analysis, Market Trend, Real Time Data, Automation, Artificial Intelligence, Python Programming, Recurrent Neural Networks (RNNs), Applied Machine Learning, Risk Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Statistical Methods, Prompt Engineering, Data Science, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Cloud Management, Model Evaluation, Data Management, AI Workflows, Azure Synapse Analytics, Cloud Computing, Data Pipelines, Continuous Monitoring, Machine Learning
Intermediate · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Regression Analysis, Data Visualization Software, Python Programming
Beginner · Specialization · 1 - 3 Months