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: 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, Decision Tree Learning, Deep Learning, Geospatial Mapping, Machine Learning
Intermediate · Specialization · 3 - 6 Months

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

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: 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: Machine Learning Algorithms, AWS SageMaker, Applied Machine Learning, Model Evaluation, 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

Skills you'll gain: AI Personalization, Feature Engineering, Personalized Service, Customer Insights, Customer Analysis, Marketing Analytics, Data Transformation, Predictive Analytics, Customer Engagement, Predictive Modeling, Data-Driven Marketing, Machine Learning Methods, Customer experience improvement, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Text Mining, Marketing Strategies, Business Intelligence, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Model Deployment, Data Management, Google Cloud Platform, Data Governance, Data Store, Workflow Management, AI Workflows, Model Optimization, Managed Services, Model Evaluation, Machine Learning Methods, Applied Machine Learning, Data Pipelines, Machine Learning, AI Orchestration
Intermediate · Course · 1 - 3 Months

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: Model Evaluation, Spatial Analysis, Spatial Data Analysis, Geostatistics, Geospatial Mapping, Model Training, Geospatial Information and Technology, Geographic Information Systems, Applied Machine Learning, Image Analysis, Feature Engineering, Machine Learning Methods, Deep Learning, Convolutional Neural Networks, Machine Learning, Data Processing, Fine-tuning, Data Analysis, Random Forest Algorithm
Beginner · Course · 3 - 6 Months

Google Cloud
Skills you'll gain: Data Analysis, Analytics, Big Data, Applied Machine Learning, Model Training, Google Cloud Platform, Machine Learning Algorithms, Machine Learning, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months