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.

University of California San Diego
Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Data Validation, Machine Learning, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Beginner · Guided Project · Less Than 2 Hours
Georgia Institute of Technology
Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Applied Mathematics, Trigonometry
Mixed · Course · 1 - 3 Months

Macquarie University
Skills you'll gain: Data Ethics, Responsible AI, Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Data Literacy, Digital pedagogy, Data-Driven Decision-Making, Machine Learning, Data Quality, Computer Science, Computer Programming, Algorithms
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, AI Enablement, Artificial Intelligence, Data Ethics, Responsible AI, Cloud Solutions, Data Quality, Machine Learning, Applied Machine Learning, Solution Design, Model Deployment, Natural Language Processing, Computer Vision
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Generative AI, Applied Machine Learning, Python Programming, Open Source Technology, JSON
Intermediate · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Reinforcement Learning, Responsible AI, Agentic systems, Artificial Intelligence, Machine Learning Methods, Distributed Computing, Simulations, Transfer Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Model Deployment, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Other Programming Languages, Version Control, Python Programming, Open Source Technology
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Sports Medicine, Correlation Analysis, Data Preprocessing, Predictive Modeling, Matplotlib, Applied Machine Learning, Statistical Modeling, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming
Intermediate · Specialization · 3 - 6 Months

Board Infinity
Skills you'll gain: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Mathematical Software, Numerical Analysis, Programming Principles, Data Processing, Computer Architecture, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis
Intermediate · Course · 1 - 3 Months