Master Python for machine learning applications. Learn to build, train, and evaluate machine learning models using Python libraries.

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Automation, Supervised Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Jupyter, Machine Learning Algorithms, IBM Cloud, Deep Learning, Cloud Development, Object Oriented Programming (OOP)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Methods, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Machine Learning, Statistics, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Strategic Decision-Making, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Processing, Pandas (Python Package), Applied Machine Learning, Data Import/Export, Classification And Regression Tree (CART), Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Machine Learning, Supervised Learning, Machine Learning Algorithms
Intermediate · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Pandas (Python Package)
Advanced · Specialization · 3 - 6 Months