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.

Skills you'll gain: Model Evaluation, AWS Kinesis, Model Deployment, AWS SageMaker, Machine Learning Algorithms, Data Collection, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Amazon Web Services, Machine Learning, Data Preprocessing, Data Analysis, Data Visualization Software, Exploratory Data Analysis, Data Modeling
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Tensorflow, Classification Algorithms, Model Evaluation
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Dashboard, Relational Databases, Data Wrangling, Rmarkdown, Data Visualization, Data Visualization Software, Plot (Graphics), Exploratory Data Analysis, Shiny (R Package), Ggplot2, SQL, Model Evaluation, Data Collection, Interactive Data Visualization, Data Transformation, Leaflet (Software), Databases, R Programming, Data Structures, Data Analysis
Beginner · Specialization · 3 - 6 Months

Sungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, R Programming, Machine Learning, Statistical Analysis, Financial Analysis, Logistic Regression, Financial Data, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Google Gemini, Google Cloud Platform, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Model Deployment, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment
Beginner · Course · 1 - 3 Months

Deep Teaching Solutions
Skills you'll gain: Learning Strategies, Lifelong Learning, Time Management, Productivity, Willingness To Learn, Quick Learning, Growth Mindedness, Mental Concentration, Persistence, Cognitive flexibility, Creativity, Overcoming Obstacles, Dealing With Ambiguity, Adaptability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Gemini, Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Cloud Infrastructure, Model Deployment, Big Data, Machine Learning, Natural Language Processing
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
Beginner · Specialization · 3 - 6 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Ggplot2, Business Analysis, Data Preprocessing, Analytics, Data Quality, Data Analysis, Data Presentation, Data Storytelling, Data-Driven Decision-Making, Python Programming
Build toward a degree
Beginner · Course · 1 - 4 Weeks