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.

Niel Asher Education
Skills you'll gain: Manual Therapy, Athletic Training, Respiratory Therapy
Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Probability, Artificial Neural Networks, Mathematical Modeling, Behavioral Economics, Convolutional Neural Networks, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Human Learning, Theoretical Computer Science, Human Machine Interfaces
Beginner · Specialization · 3 - 6 Months

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Precision Medicine, Accident Prevention, Data Ethics, Kinesiology, Applied Machine Learning, AI Enablement, Bayesian Network, Child Development, Working With Children, Machine Learning, Data-Driven Decision-Making, Epidemiology, Continuous Monitoring, Load Balancing, Decision Support Systems, Emerging Technologies, Predictive Modeling, Health Education, Biomedical Engineering, Data Integration
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Evaluation, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Evaluation, Generative AI, Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, Continuous Monitoring, Responsible AI
Intermediate · Course · 1 - 4 Weeks

University at Buffalo
Skills you'll gain: Data Literacy, Data Ethics, Data-Driven Decision-Making, Analytics, Root Cause Analysis, Lean Methodologies, Six Sigma Methodology, Data Analysis, Operational Efficiency, Operational Excellence, Case Studies, Process Improvement, Quality Management Systems, Data Quality, Data Security, Product Quality (QA/QC), Internet Of Things
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Google Cloud Platform, Gemini, Generative AI, MLOps (Machine Learning Operations), Multimodal Prompts, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Model Deployment, Feature Engineering, Cloud Infrastructure, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Classification Algorithms, Dimensionality Reduction, Anomaly Detection, Artificial Intelligence, Embedded Systems, Machine Learning, Data Ethics, Regression Analysis, Probability & Statistics, Model Evaluation, Responsible AI, Image Analysis, Computer Vision, Applied Machine Learning, Linear Algebra, Machine Learning Algorithms, Decision Tree Learning, Statistical Methods
Credit offered
Mastertrack · 6 - 12 Months

Skills you'll gain: Data Visualization, Web Scraping, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Python Programming, Data Processing, Jupyter, Data Wrangling, Data Cleansing, Data Structures
Intermediate · Course · 1 - 4 Weeks

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives
Intermediate · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks