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.

Coursera
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, AI Workflows, Generative Model Architectures, Software Architecture, Enterprise Architecture, CI/CD, Model Evaluation, Software Development, Unit Testing, Python Programming
Intermediate · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Interactive Data Visualization, Data Storytelling, Dashboard, Tableau Software, Plot (Graphics), Natural Language Processing, Scatter Plots, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Predictive Analytics, Big Data, Anomaly Detection
Intermediate · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
Advanced · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Google Cloud Platform, Cloud Computing, Applied Machine Learning, Datamaps, Model Deployment, Cloud Services, Spatial Data Analysis, Machine Learning, Real Time Data
Beginner · Project · Less Than 2 Hours

National Taiwan University
Skills you'll gain: Operations Research, Network Model, Applied Machine Learning, Case Studies, Applied Mathematics, Mathematical Modeling, Transportation Operations, Business Analytics, Advanced Mathematics, Linear Algebra, Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

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: Prompt Engineering, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), CI/CD, Restful API, Java Programming, Model Deployment, Engineering Software, Version Control, Database Management, Software Design
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Data Preprocessing, Model Evaluation, Performance Tuning, Data Collection, Software Installation
Beginner · Course · 3 - 6 Months

Skills you'll gain: PySpark, Azure Synapse Analytics, Data Pipelines, Power BI, Apache Spark, Databases, Microsoft Azure, Extract, Transform, Load, Data Lakes, Databricks, NoSQL, Data Visualization Software, SQL Server Integration Services (SSIS), Data Processing, Data Architecture, Distributed Computing, Data Warehousing, Data Management, Big Data, Public Cloud
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Data Modeling, Data Transformation, Data Warehousing, Data Preprocessing, Apache Hadoop, Data Pipelines, Apache Spark, Feature Engineering, Star Schema, Real Time Data, Data Access, Machine Learning
Intermediate · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Build toward a degree
Beginner · Specialization · 1 - 3 Months