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: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Algorithms, Regression Analysis, Machine Learning, Predictive Modeling, Classification Algorithms, Scikit Learn (Machine Learning Library), Data Preprocessing, Feature Engineering, Statistical Methods, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Data Manipulation, Feature Engineering, Random Forest Algorithm
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Probability & Statistics, Statistical Inference
Build toward a degree
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: PyTorch (Machine Learning Library), Model Deployment, Convolutional Neural Networks, Transfer Learning, Generative AI, Deep Learning, Image Analysis, MLOps (Machine Learning Operations), Data Pipelines, Embeddings, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Software Visualization, Computer Vision, Natural Language Processing, Machine Learning
Intermediate · Professional Certificate · 1 - 3 Months

Columbia University
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Customer Analysis, Unsupervised Learning, Customer Insights, Marketing Analytics, Applied Machine Learning, Data Analysis, Web Analytics, Retail Store Operations, Machine Learning, Machine Learning Algorithms, Histogram, Decision Tree Learning, Model Evaluation, Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Systems Architecture, Tensorflow, Google Cloud Platform, Applied Machine Learning, Big Data, Distributed Computing, Performance Tuning, Hybrid Cloud Computing, Scalability, Data Pipelines, Debugging
Advanced · Course · 1 - 3 Months
Duke University
Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks