Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

Skills you'll gain: Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, AI Product Strategy, Product Management, Model Training, Product Lifecycle Management, Machine Learning Algorithms, Model Optimization, Applied Machine Learning, Decision Intelligence, Data Processing, Technical Product Management, Feature Engineering, Project Management, Machine Learning Methods, Machine Learning, Technical Management, Data Transformation
Intermediate · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Data Mining, Education Software and Technology, Digital pedagogy, Program Evaluation, Learning Management Systems, Analytics, Data Ethics, AI Personalization, Data Access, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Model Training, Data Management, Information Management, Google Cloud Platform, Metadata Management, Workflow Management, Model Deployment, AI Workflows, Model Optimization, Machine Learning Software, Machine Learning Methods, Predictive Modeling, Data Pipelines, Applied Machine Learning, Model Evaluation, Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Model Training, Generative Model Architectures, Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Presentation, Machine Learning Software, Prompt Engineering, Model Evaluation, Feature Engineering, Fine-tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics
Beginner · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Analytics, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Methods, Data Processing, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Model Optimization, Federated Learning, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Information Privacy
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Model Training, Application Lifecycle Management, AI Workflows, Model Evaluation, Continuous Monitoring, Automation
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Analytics, Machine Learning Methods, Predictive Modeling, Data Science, Statistical Modeling, Data Processing, Statistical Analysis, Performance Analysis, Data Preprocessing, Case Studies, Performance Measurement, Applied Machine Learning
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Artificial Neural Networks, Trend Analysis, Unstructured Data, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Predictive Modeling, Forecasting, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours