Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.

Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Scientific Visualization, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Image Analysis, Statistical Machine Learning, Diagnostic Radiology, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Exploratory Data Analysis, Business Metrics, Keras (Neural Network Library), Model Training, Data Preprocessing, Machine Learning Software, Model Evaluation, Data Quality, Logistic Regression, Machine Learning, Data Pipelines, Machine Learning Methods, Data Processing, Scikit Learn (Machine Learning Library), Performance Tuning, Dataflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Learning Management Systems, Surveys, Course Development, Metadata Management, Training and Development, Instructional Design, Dashboard, Interactive Learning, System Configuration, Information Architecture, Digital Content, Content Development and Management, Content Management Systems, Education Software and Technology, Content Management, Management Training And Development, Interactive Design, Multimedia
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Machine Learning Methods, Data Preprocessing, Data Wrangling, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, NumPy
Beginner · Course · 1 - 3 Months

AI CERTs
Skills you'll gain: Responsible AI, AI Personalization, Education Software and Technology, Generative AI Agents, Developing Training Materials, AI Enablement, Workforce Development, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis, Learning Management Systems, Generative AI, Instructional Design, AI literacy, HR Tech, Learning Styles, Content Creation, Learning Theory, Human Learning, Learning Strategies, Childhood Education and Development
Beginner · Course · 1 - 3 Months

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
Intermediate · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: Generative AI, Generative AI Agents, Google Cloud Platform, Generative Model Architectures, MLOps (Machine Learning Operations), AI Workflows, Infrastructure Architecture, Cloud Infrastructure, Data Infrastructure, Artificial Intelligence, Large Language Modeling, Model Training, Model Deployment, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI literacy, Artificial Intelligence, AI Workflows, Cloud Infrastructure, Agentic systems, Applied Machine Learning, Model Training, Model Deployment, Machine Learning
Beginner · Course · 1 - 3 Months

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Model Optimization, Markov Model, Securities Trading, Model Deployment, Risk Management
Intermediate · Course · 1 - 4 Weeks