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.

Special Competitive Studies Project
Skills you'll gain: Large Language Modeling, Responsible AI, LLM Application, AI Integrations, Google Gemini, Data Ethics, Artificial Intelligence, AI Workflows, Gemini, AI literacy, Governance, ChatGPT, Public Administration, Generative AI, Decision Intelligence, Human Machine Interfaces, Ethical Standards And Conduct
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering Tools, AI Workflows, Cloud Infrastructure, Agentic Workflows, Big Data, Data Infrastructure, Model Deployment, Natural Language Processing, Prompt Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Machine Learning
Beginner · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Numerical Analysis, Mathematical Software, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Plot (Graphics), Algorithms
★ 4.9 (443) · Intermediate · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing
★ 4.8 (722) · Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Machine Learning, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Embeddings, Fine-tuning, Supervised Learning, Deep Learning, Data Cleansing, Dataflow
★ 4.4 (152) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Excel Macros, Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Entry
★ 4.5 (10) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Model Training, Google Cloud Platform, Data Quality, Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Keras (Neural Network Library), Data Strategy, Machine Learning, Machine Learning Methods, Embeddings, Cloud Deployment, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow
★ 4.7 (92) · Intermediate · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning
★ 4.9 (36) · Beginner · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Agentic Workflows, Model Deployment, Model Training, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Model Training, Cloud API, Analytics, Jupyter, Machine Learning
★ 4.7 (47) · Intermediate · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Machine Learning, Medical Science and Research, Unsupervised Learning, Dimensionality Reduction
★ 3.9 (15) · Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Microarchitecture
★ 4.2 (9) · Intermediate · Course · 1 - 3 Months