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.

Coursera
Skills you'll gain: Interviewing Skills, Oral Expression, Follow Through, Communication, Business Writing
★ 4.3 (972) · Beginner · Guided Project · Less Than 2 Hours
University of Glasgow
Skills you'll gain: Deep Learning, Data Preprocessing, Autoencoders, Machine Learning Methods, Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Medical Records, Model Optimization, Health Informatics, Electocardiography, Electronic Medical Record, Predictive Modeling, Embeddings, Applied Machine Learning, Data Cleansing, Time Series Analysis and Forecasting, Dimensionality Reduction, Model Evaluation
★ 4 (8) · Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Evaluation, Time Series Analysis and Forecasting, Forecasting, Model Training, Google Cloud Platform, Predictive Analytics, Predictive Modeling, Big Data, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Analysis Software, Exploratory Data Analysis, Cloud Storage
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Electronic Hardware, Telecommunications, Hardware Design, Program Development, Communication Systems, Display Devices, Embedded Software, Integrated Development Environments, Electronic Systems, Embedded Systems, Electronic Components, Development Environment, Electrical Wiring, Programming Principles, Open Source Technology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Model Evaluation, Large Language Modeling, Data Preprocessing, Model Training, Fine-tuning, Data Cleansing, PyTorch (Machine Learning Library), Transfer Learning, Deep Learning, Natural Language Processing, Exploratory Data Analysis, Test Data, Machine Learning
★ 4.4 (398) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Optimization, Model Training, AI Workflows, Data Pipelines
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Maintainability, Machine Learning Algorithms, Java, Software Design Patterns, Logistic Regression, Business Metrics, Benchmarking, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Modeling, Model Deployment, Data Transformation, Model Evaluation, Exploratory Data Analysis, Data Processing, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, User Accounts
★ 4.9 (11) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
Intermediate · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Time Management, Calendar Management, Scheduling, Productivity Software, Mental Concentration, Professionalism, Planning, Overcoming Obstacles, Communication Strategies, Crisis Management
★ 4.6 (17K) · Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: CI/CD, Google Cloud Platform, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Kubernetes, Continuous Deployment, Metadata Management, Model Deployment, AI Orchestration, Model Training, Model Optimization, Model Evaluation, Data Validation
Advanced · Course · 1 - 3 Months