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.

Real Madrid Graduate School Universidad Europea
Skills you'll gain: LLM Application, Applied Machine Learning, Computer Vision, Analytics, Real Time Data, Reinforcement Learning, Machine Learning Methods, Large Language Modeling, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence, Data Integration, Analysis, Automation, Supervised Learning, Natural Language Processing, Data Presentation, Innovation
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Program Development, Artificial Intelligence, Software Development, Applied Machine Learning, Application Development, Technical Writing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, Microsoft Azure, Machine Learning Methods, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Machine Learning, Model Training, Data Ethics, Large Language Modeling, AI literacy, Deep Learning, Data Science, LLM Application
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Transformation, Applied Machine Learning, Keras (Neural Network Library), Data Store, Machine Learning, Statistical Methods
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Training, Google Cloud Platform, Model Optimization, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Predictive Modeling, Google Analytics, Applied Machine Learning, Cloud Deployment, Cloud Storage, Machine Learning, Data Management
Intermediate · Project · Less Than 2 Hours

University of Washington
Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Model Training, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data-Driven Decision-Making, Data Preprocessing, Predictive Analytics, Data Collection, Applied Machine Learning, R Programming, Data Pipelines, Research, Supervised Learning, Technical Communication, Python Programming
Mixed · Course · 1 - 3 Months

Skills you'll gain: Model Training, Model Evaluation, Unsupervised Learning, Applied Machine Learning, Microsoft Azure, Machine Learning Methods, Data Validation, Unstructured Data, No-Code Development, Data Capture, Data Processing, Cloud Services
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks
CertNexus
Skills you'll gain: Data Analysis, Data Preprocessing, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Statistical Visualization, Statistical Methods, Analytical Skills, Data Processing, Data Wrangling, Data Transformation, Descriptive Statistics, Data Cleansing, Histogram, Data Manipulation, Scatter Plots, Applied Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Financial Trading, Artificial Intelligence, Market Trend, Technical Analysis, Applied Machine Learning, Algorithms, Securities Trading, Verification And Validation, Futures Exchange, Risk Management, Model Evaluation, Market Data, Machine Learning Algorithms, Machine Learning, Trend Analysis, Performance Analysis, Scripting, Scripting Languages, Finance
Beginner · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Machine Learning Methods, Competitive Analysis, AI Enablement, Machine Learning, Applied Machine Learning, Responsible AI, Business Strategy, Data Ethics, Technology Strategies, Business Strategies, Business Ethics, Organizational Strategy, Decision Intelligence, Strategic Thinking, Market Analysis, Corporate Strategy, AI Integrations, Process Analysis, Artificial Intelligence and Machine Learning (AI/ML), Value Propositions
Beginner · Course · 1 - 4 Weeks