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: 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: User Story, Cloud Deployment, CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Agile Software Development, Scrum (Software Development), Code Coverage, OpenShift, 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

Clemson University
Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, 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: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Application Lifecycle Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Integration, Applied Machine Learning, Data Management
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Blockchain, User Interface and User Experience (UI/UX) Design, Cryptography, Secure Coding, Application Security, Web Development Tools, React Redux, Encryption, User Experience Design, Key Management, Application Design, Cryptographic Protocols, Application Development, Web Applications, Software Development Tools, Legal Technology, Vulnerability Assessments, Frontend Integration, Data Security, Program Development
Intermediate · Specialization · 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

Northeastern University
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Statistical Analysis, Data Preprocessing, Case Studies, Supervised Learning, Project Implementation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services, Scalability
Intermediate · Specialization · 3 - 6 Months

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