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 Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Exploratory Data Analysis, Database Design, Shiny (R Package), Ggplot2, Data Wrangling, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Data Presentation, SQL, Databases, Dashboard, Data Manipulation, Web Scraping, R Programming
Beginner · Specialization · 3 - 6 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

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Preprocessing, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Cloud Deployment, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Unsupervised Learning, Deep Learning, Data Analysis, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

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: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Business Analysis, Analytics, Data Preprocessing, Data Analysis, Data-Driven Decision-Making, Data Presentation, Python Programming
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Data Processing, Data Management, Data Storage Technologies, Data Security
Intermediate · Course · 1 - 4 Weeks

Beginner · Course · 1 - 3 Months

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

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Management, Data Governance, Google Cloud Platform, Model Evaluation, Data Pipelines, Data Preprocessing, Applied Machine Learning, Tensorflow, Machine Learning, Feature Engineering
Intermediate · 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