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: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Generative AI, Transfer Learning, Generative Adversarial Networks (GANs), Applied Machine Learning, Small Data, Autoencoders, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Computer Graphics, Machine Learning, Image Analysis, Machine Learning Algorithms, Data Synthesis, Simulation and Simulation Software, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Assets
Mixed · Course · 1 - 3 Months

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

University of Colorado Boulder
Skills you'll gain: Sustainable Design, Sustainable Technologies, Sustainable Engineering, Sustainable Business, Energy and Utilities, Sustainable Development, Corporate Sustainability, Strategic Leadership, Product Engineering, Environmental Management Systems, Environmental Engineering, Waste Minimization, Packaging and Labeling, Product Lifecycle Management, Climate Change Mitigation, Emerging Technologies
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Automation, Continuous Deployment, Containerization, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Jupyter, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics), Data Structures, Scripting
Beginner · Course · 1 - 4 Weeks

Clemson University
Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning
Build toward a degree
Intermediate · Course · 1 - 3 Months

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

Commonwealth Education Trust
Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Education and Training, Pedagogy, Instructional Strategies, Adult Education, Student Engagement, Rapport Building, Professional Development, Learning Theory, Collaboration, Curriculum Development, Childhood Education and Development, Planning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy
Intermediate · Course · 1 - 3 Months