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: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Model Training, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Data Synthesis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Reinforcement Learning, Google Cloud Platform, GitHub, Tensorflow, Machine Learning, Game Design
Beginner · Project · Less Than 2 Hours
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Model Optimization, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Fine-tuning, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Model Training, Forecasting, Machine Learning, Text Mining
Intermediate · Specialization · 1 - 3 Months

KodeKloud
Skills you'll gain: Docker (Software), Containerization, Cloud-Native Computing, Cloud Deployment, Development Environment, Cloud Infrastructure, Virtualization, Cloud Development, Virtual Machines, Cloud Services, Application Development
Beginner · Course · 1 - 3 Months

Skills you'll gain: Learning Management Systems, Multimedia, Surveys, Interactive Learning, Information Architecture, Instructional Design, Instructional and Curriculum Design, Content Creation, Training and Development, Interactive Design, Digital Content, Education Software and Technology, Application Deployment, Content Management Systems, Digital Publishing, Content Management, System Configuration, Interaction Design, Design, Development Environment
Mixed · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Retrieval-Augmented Generation, Agentic systems, Agentic Workflows, Generative AI Agents, AI Workflows, Prompt Engineering, ChatGPT, Artificial Intelligence, LLM Application, Prompt Patterns, OpenAI, Generative AI, Context Engineering, Large Language Modeling, AI literacy, Tool Calling, Multimodal Prompts, Strategic Planning, Emerging Technologies, Responsible AI
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Dimensionality Reduction, Unsupervised Learning, Deep Learning, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Anomaly Detection, Classification Algorithms, Linear Algebra
Intermediate · Course · 1 - 3 Months

University of Cambridge
Skills you'll gain: Financial Acumen, Financial Controls, Variance Analysis, Business Mathematics, Financial Forecasting, Cost Benefit Analysis, Capital Budgeting, Financial Management, Financial Analysis, Budget Management, Financial Modeling, Financial Reporting, Financial Statement Analysis, Cost Estimation, Financial Statements, Return On Investment, Accounting, Budgeting, Microsoft Excel
Beginner · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Model Optimization, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
Intermediate · Specialization · 3 - 6 Months