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: 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

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

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

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
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: 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

IBM
Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, LLM Application, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science
Beginner · Professional Certificate · 3 - 6 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

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
Northeastern University
Skills you'll gain: Health Informatics, Decision Support Systems, Process Mapping, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Customer experience strategy (CX), Artificial Intelligence and Machine Learning (AI/ML), Analytics, Applied Machine Learning, Healthcare Industry Knowledge, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Keras (Neural Network Library), Embeddings, Exploratory Data Analysis, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months