Python for machine learning courses can help you learn data manipulation, algorithm implementation, model evaluation, and feature selection. You can build skills in data visualization, hyperparameter tuning, and understanding neural networks. Many courses introduce tools like TensorFlow, Scikit-learn, and Pandas, that support applying your skills in real-world projects, enabling you to create predictive models and analyze complex datasets effectively.

Skills you'll gain: Verification And Validation, Release Management, Maintainability, Experimentation, Performance Testing, Benchmarking, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Model Training, Model Evaluation, Decision Tree Learning, Machine Learning Algorithms, Machine Learning
Intermediate · Course · 1 - 3 Months

Logical Operations
Skills you'll gain: Data Cleansing, Data Preprocessing, Unit Testing, Package and Software Management, Python Programming, Data Science, Computer Programming, Debugging, Scripting, Software Development, Machine Learning, Database Application, Object Oriented Programming (OOP), Regression Analysis, Programming Principles, Scripting Languages, Databases, Object Oriented Design, Relational Databases, User Interface (UI) Design
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: AI Enablement, No-Code Development, Business Transformation, Digital Transformation, Business Leadership, Solution Design, Organizational Change, Change Management, Data Storytelling, Business Priorities, Business Analysis, Business Communication, Influencing, Technical Communication, Automation, Communication, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Model Training, Machine Learning Methods, Data Processing, Deep Learning, Data Transformation, Model Deployment, Data Pipelines, Data Manipulation, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis
★ 3.1 (79) · Intermediate · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Natural Language Processing, Machine Learning Algorithms, Artificial Neural Networks, Machine Learning Methods, Tensorflow, Applied Machine Learning, Deep Learning, Model Training, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Algorithms, Network Architecture
★ 3.7 (10) · Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Generative AI, Financial Forecasting, Predictive Modeling, Financial Modeling, Financial Data, Market Data, Predictive Analytics, Financial Analysis, Portfolio Management, Financial Acumen, Risk Management, Investment Management, Risk Analysis, Spreadsheet Software, AI Integrations, Portfolio Risk, Financial Reporting, Analysis, Power BI, Automation
★ 4.7 (6) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, LLM Application, Fine-tuning, Model Deployment, Model Training, Transfer Learning, Generative Model Architectures, Prompt Engineering, Model Optimization, Generative AI, Model Evaluation, Deep Learning, Natural Language Processing, Recurrent Neural Networks (RNNs), AI Security, Responsible AI, Scalability, Machine Learning
Advanced · Course · 3 - 6 Months

Coursera
Skills you'll gain: Fine-tuning, Natural Language Processing, Model Training, Data Wrangling, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Vector Databases, Hugging Face, MongoDB, Embeddings, NoSQL, AI Personalization, Artificial Intelligence, PostgreSQL, Relational Databases, Database Management Systems, Generative AI, Operational Databases, SQL, Databases, Database Systems, LLM Application, Query Languages, Applied Machine Learning, Machine Learning, Data Science
★ 4.6 (74) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization
★ 4.6 (162) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Transfer Learning, Model Evaluation, Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Model Training, PyTorch (Machine Learning Library), Convolutional Neural Networks, Model Optimization, Data Preprocessing, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Artificial Intelligence, Python Programming
★ 4.5 (690) · Advanced · Course · 1 - 4 Weeks