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: Cloud Deployment, CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Agile Software Development, Scrum (Software Development), Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Code Coverage, OpenShift, Cloud Applications, DevOps, Secure Coding, Grafana, System Monitoring, Agile Methodology
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Preprocessing, Machine Learning, Time Series Analysis and Forecasting
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Predictive Modeling, Data Preprocessing, Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Game Design, Data Science, Animation and Game Design
Intermediate · Course · 3 - 6 Months

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

Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Governance, Data Management, AI Workflows, Predictive Modeling, Machine Learning, Data Pipelines, Feature Engineering, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Data Science, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Forecasting, Advanced Analytics, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Data Preprocessing, Responsible AI, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis
Beginner · Specialization · 1 - 3 Months