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: Model Evaluation, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Transfer Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Illinois Tech
Skills you'll gain: Health Informatics, Clinical Informatics, Technology Roadmaps, Patient Flow, Public Health, Innovation, Health Care, Health Systems, Healthcare Project Management, Systems Integration, Data Analysis, ICD Coding (ICD-9/ICD-10), Medical Terminology, Data Management, Emerging Technologies, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Regulatory Compliance, Natural Language Processing
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, 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, Numerical Analysis, Programming Principles, Computer Architecture, Program Development, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Beginner · Course · 1 - 3 Months

Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Data Modeling, Relational Databases, Stored Procedure, Model Deployment, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, GitHub, Data Preprocessing, Data Cleansing, R (Software), Cloud Computing, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Generative AI, Prompt Engineering, Responsible AI, AI Security, Data Ethics, Microsoft Azure, AI Enablement, Artificial Intelligence, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Model Evaluation, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning
Intermediate · Course · 1 - 4 Weeks