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.

Vanderbilt University
Skills you'll gain: Generative AI Agents, Agentic Workflows, AI Orchestration, Workflow Management, AI Enablement, Agentic systems, Artificial Intelligence, Business Process Automation, Generative AI, AI Product Strategy, Automation, AI Personalization, Prompt Engineering, Tool Calling, Emerging Technologies, Responsible AI
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Supervised Learning, Linear Algebra, Calculus
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation
Mixed · Course · 1 - 3 Months

University of Alberta
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Model Evaluation, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Processing, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Field-Programmable Gate Array (FPGA), Application Specific Integrated Circuits, Computational Logic, Computer Architecture, Hardware Design, Electronic Hardware, Electronics Engineering, Electronics, Theoretical Computer Science, Programmable Logic Controllers, Microarchitecture, Electronic Systems, Semiconductors, Electronic Components, Data Storage, Data Storage Technologies
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment
Beginner · Guided Project · Less Than 2 Hours