
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
★ 4.8 (381) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation
★ 4.3 (178) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Model Optimization, Cloud Management, Model Training, Cloud Deployment, Data Store, Data Strategy, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Feature Engineering, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Machine Learning Software, Continuous Delivery, Model Training, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Automation, Business Priorities, Performance Analysis, YAML
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Application Lifecycle Management, DevOps, Continuous Deployment, Cloud Deployment, Machine Learning Methods, CI/CD, AI Workflows, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Application Lifecycle Management, Model Training, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Devops Tools, Automation, CI/CD
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Application Deployment, Data Preprocessing, Devops Tools, Model Training, Machine Learning Software, Data Processing, Model Optimization, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps Pipelines, Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, Model Training, CI/CD, Version Control, Data Ethics, Artificial Intelligence, Model Evaluation, Continuous Integration, Git (Version Control System), Automation, Application Performance Management, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Model Training, Application Lifecycle Management, DevOps, AI Workflows, Applied Machine Learning, CI/CD, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Model Training, Cloud Management, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Devops Tools, CI/CD, Automation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
Intermediate · Course · 1 - 4 Weeks