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: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
Intermediate · Specialization · 1 - 3 Months

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

Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics, Python Programming, Model Training, Statistical Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months

University of London
Skills you'll gain: Cryptography, Cryptographic Protocols, Application Security, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Public Key Infrastructure, Mobile Security, Data Integrity
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Model Training, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Validation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Video Game Development, Game Design, Project Planning, User Interface (UI) Design, Program Development, User Interface (UI), Python Programming, Development Environment, Programming Principles, Maintainability, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Gemini, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, AI Workflows, Artificial Intelligence, Model Training, Applied Machine Learning, Cloud Infrastructure, Machine Learning
Beginner · Course · 1 - 3 Months

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

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours