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.

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Data Pipelines, Extract, Transform, Load, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning
Advanced · Specialization · 3 - 6 Months

Sage Publications
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Artificial Intelligence, Machine Learning Methods, Machine Learning, Computer Vision, Data Ethics, Automation, AI literacy, Applied Machine Learning, Natural Language Processing, Digital Transformation, Emerging Technologies, AI Integrations, Law, Regulation, and Compliance, Business Transformation
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Model Optimization, Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Transfer Learning, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Model Training, Logistic Regression, Image Analysis, Applied Machine Learning, Regression Analysis
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Logistic Regression, Financial Data
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Model Training, Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Software Architecture, Distributed Computing, Hybrid Cloud Computing, Dependency Analysis, Data Processing
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months

LearnQuest
Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours