University of London
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling
Beginner · Course · 1 - 3 Months

LearnKartS
Skills you'll gain: Generative AI, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Incident Response, AI Security, Incident Management, Model Deployment, Site Reliability Engineering, Patch Management, MLOps (Machine Learning Operations), System Monitoring, Problem Management, Computer Security Incident Management, Responsible AI, Continuous Monitoring, Dependency Analysis, Disaster Recovery, Anomaly Detection, Application Deployment, Automation, Dashboard
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Data Cleansing, Statistical Programming, Data Analysis, Data Presentation, Descriptive Statistics, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Performance Analysis, Artificial Neural Networks, Resource Utilization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Responsible AI, Image Analysis, Anomaly Detection, Unsupervised Learning, Microsoft Azure, Natural Language Processing, Computer Vision, Artificial Intelligence, Applied Machine Learning, MLOps (Machine Learning Operations), AI Security, Regression Analysis, No-Code Development, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning, AI Workflows, Model Deployment, Classification Algorithms, Analytics
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Computer Vision, Model Deployment, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Algorithms, Systems Analysis, Resource Utilization, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Preprocessing, Machine Learning, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation, Scalability
Intermediate · Course · 1 - 4 Weeks
University of California, Davis
Skills you'll gain: Data Visualization, Advanced Analytics, Tableau Software, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Pivot Tables And Charts, Data Mapping, Tree Maps, Analytics, Data Analysis Expressions (DAX), Histogram, Scatter Plots, Geospatial Mapping, Heat Maps, Forecasting
Beginner · Course · 1 - 4 Weeks