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.

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Data Preprocessing, Model Deployment, Data Management, Data Governance, Data Processing, AI Workflows, Metadata Management, Google Cloud Platform, Workflow Management, Tensorflow, Model Optimization, Applied Machine Learning, Data Pipelines, AI Orchestration, Model Evaluation, Predictive Modeling, Machine Learning, Containerization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Training, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Tensorflow, Performance Tuning, Model Evaluation, Systems Architecture, Data Validation, Machine Learning, Distributed Computing, Hybrid Cloud Computing, Debugging, Dependency Analysis
Advanced · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Market Trend, Investment Management, Investments, Securities Trading, Applied Machine Learning, Market Data, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Analysis, Machine Learning Algorithms, Model Evaluation, Machine Learning, Classification Algorithms, Financial Data
★ 4.8 (38) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Statistical Visualization, Predictive Modeling, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Data Science, Predictive Analytics, Data Manipulation, Deep Learning, Data Wrangling, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
★ 4.7 (27) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Plot (Graphics), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Training, Model Evaluation, Model Optimization, Adaptability, Problem Solving
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Video Game Development, Game Design, Project Planning, User Interface (UI) Design, Program Development, User Interface (UI), Python Programming, Development Environment, Programming Principles, Maintainability, Computer Programming
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Big Data, Model Training, Applied Machine Learning, Google Cloud Platform, Data Analysis, Machine Learning Methods, Query Languages, Machine Learning Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, Data Preprocessing, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage
★ 4.7 (26) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning
★ 4.7 (26) · Intermediate · Guided Project · Less Than 2 Hours