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: 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: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Presentations, Technical Communication, AI Enablement, Technical Documentation, MLOps (Machine Learning Operations), AI Product Strategy, Model Deployment, Interviewing Skills, Cloud Deployment
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Google Cloud Platform, Workflow Management, Model Deployment, AI Workflows, Data Pipelines, Model Evaluation, Feature Engineering, Machine Learning, Predictive Analytics
Intermediate · Course · 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

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

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Big Data, Artificial Neural Networks, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Analytics, Predictive Modeling, Deep Learning, Data Preprocessing
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, Application Programming Interface (API), Apache Hive, Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning
Intermediate · Course · 3 - 6 Months

Arizona State University
Skills you'll gain: Empathy, Emotional Intelligence, Active Listening, Compassion, Personal Development, Social Skills, Self-Awareness, Verbal Communication Skills, Interpersonal Communications, Relationship Building, Mindfulness, Resilience, Leadership, Conflict Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling
Intermediate · Course · 1 - 3 Months