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: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Classification Algorithms, Data Preprocessing, Network Architecture, Data Processing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Statistical Methods, Quality Assessment, Statistical Hypothesis Testing, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

IBM
Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, Generative AI, Responsive Web Design, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision
Intermediate · Course · 1 - 4 Weeks

L&T EduTech
Skills you'll gain: Oil and Gas, Petroleum Industry, Big Data, Data Management, Data Processing, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Geostatistics, Image Analysis, Production Process, Machine Learning Methods, Energy and Utilities, Machine Learning, Predictive Modeling, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Analytics, Data Analysis, Applied Machine Learning, Model Training, Statistical Inference, Google Cloud Platform, Machine Learning Methods, SQL
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, CI/CD, Apache Airflow, Tensorflow, Data Pipelines, Continuous Deployment, Model Deployment, AI Orchestration, Model Training, Metadata Management, Model Evaluation, Data Validation
Advanced · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Instructional Design, Learning Theory, Design, Design Thinking, Education Software and Technology, Professional Development, Human Centered Design, Diversity Equity and Inclusion Initiatives, Technology Strategies, Collaboration
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Microservices, MLOps (Machine Learning Operations), Application Performance Management, AI Integrations, Site Reliability Engineering, AI Workflows, Continuous Monitoring, Performance Analysis, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Model Training, Data Transformation, Financial Forecasting, Model Evaluation, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Forecasting, Predictive Analytics, Artificial Neural Networks, Network Model, Project Implementation
Mixed · Course · 1 - 4 Weeks