Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.

Skills you'll gain: Supervised Learning, Financial Forecasting, Forecasting, Applied Machine Learning, Predictive Modeling, Predictive Analytics, Model Evaluation, Business Analytics, Data Storytelling, Data-Driven Decision-Making, Business Metrics, Scikit Learn (Machine Learning Library), Performance Analysis, Regression Analysis, Feature Engineering, Data Science, Stakeholder Communications, Key Performance Indicators (KPIs), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Model Evaluation, Applied Machine Learning, Patient Treatment, AI Personalization, Machine Learning, Text Mining, Health Informatics, Medical Terminology, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Logistic Regression, Probability & Statistics, Statistics, Model Evaluation, Classification And Regression Tree (CART)
Mixed · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Generative AI, Big Data, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, Customer Data Management, Autoencoders, Artificial Intelligence, Deep Learning, Model Evaluation, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Social Skills, Interpersonal Communications, Education Software and Technology, Relationship Building, English Language, Verbal Communication Skills, Professional Development, Communication, Communication Strategies, Active Listening, Vocabulary, Language Learning, Grammar
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Model Deployment, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Cloud Computing Architecture, MLOps (Machine Learning Operations), Kubernetes, Scalability, Prompt Engineering, API Design, Cloud Deployment, Site Reliability Engineering, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Hibernate (Java), Responsible AI, Database Design, Responsive Web Design, Docker (Software), Git (Version Control System), Object Oriented Programming (OOP), CI/CD, Restful API, Java Programming, Model Deployment, Engineering Software, Version Control, Database Management, Software Design
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks