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: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Wrangling, Data Preprocessing, Data Science, Model Training, Machine Learning, Machine Learning Algorithms, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Board Infinity
Skills you'll gain: Classification Algorithms, Java Programming, Data Preprocessing, Machine Learning Software, Model Training, Model Deployment, Model Evaluation, Decision Tree Learning, Logistic Regression
Beginner · Course · 1 - 4 Weeks

Maven Analytics
Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Model Training, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Model Optimization, Classification Algorithms, Statistical Analysis, Data Science, Machine Learning Methods, Forecasting, Statistical Methods, Data Preprocessing, Data Mining, Machine Learning, Supervised Learning, Business Intelligence
Beginner · Course · 1 - 3 Months

Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Random Forest Algorithm, Model Evaluation, Feature Engineering, Model Training, Matplotlib, Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Plot (Graphics), Supervised Learning, Environmental Monitoring, Geospatial Information and Technology, Scientific Visualization, Predictive Modeling, Deep Learning, Geospatial Mapping, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Science, Unsupervised Learning, Exploratory Data Analysis, Probability & Statistics, Machine Learning Algorithms, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Python Programming, Random Forest Algorithm, Dimensionality Reduction, Predictive Modeling, NumPy, Regression Analysis, Statistical Analysis, Data Processing, Deep Learning, Pandas (Python Package), Data Visualization, Data Manipulation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Responsible AI, Exploratory Data Analysis, Histogram, Predictive Modeling, Data Visualization, Predictive Analytics, Data Preprocessing, Machine Learning, Policy Analysis, Statistical Methods, Data Science, Descriptive Statistics, Data Ethics, Economics, Policy, and Social Studies, Development Environment, Software Engineering
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Optimization, Classification Algorithms, Amazon Web Services, Model Training, Machine Learning Methods, Machine Learning Software, Predictive Modeling, Machine Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Data Mining, Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Random Forest Algorithm, Diagnostic Tests, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge, Algorithms, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Deployment, Feature Engineering, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Cloud Deployment, Machine Learning Software, Data Cleansing, Supervised Learning, Data Transformation, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Cloud Services, Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Algorithms, AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Deployment, Data Preprocessing, Data Transformation, Machine Learning Methods, Amazon Web Services, Data Processing, Machine Learning, Model Training, Cloud Deployment, Data Storage Technologies, Amazon S3, Model Optimization, Amazon Elastic Compute Cloud, Data Storage, AWS CloudFormation, AWS Identity and Access Management (IAM)
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Applied Machine Learning, Database Management Systems, Data Architecture, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Data Access, Machine Learning, Scalability, Data Integrity, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks