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 Colorado System
Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Cybersecurity, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Encryption, Brute-force attacks, Authentications, Arithmetic, Algorithms, Applied Mathematics, Data Integrity, Probability, Computer Science
Beginner · Specialization · 3 - 6 Months
Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Performance Metric, Data Analysis, Agile Methodology, Project Management, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, R Programming, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Advanced Mathematics, Mathematical Software, Mathematical Modeling, Derivatives, Programming Principles
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Engineering Analysis, Thermal Management, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Chemical Engineering, Scientific Visualization, Physics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment
Intermediate · Course · 1 - 4 Weeks