MLOps Courses
MLOps courses can help you learn deployment strategies, model monitoring, and continuous integration and delivery for machine learning projects. You can build skills in automating workflows, managing data pipelines, and ensuring compliance with governance standards. Many courses introduce tools like TensorFlow, Kubernetes, and MLflow, that support operationalizing AI models and streamlining collaboration between data scientists and IT teams.
Popular MLOps Courses and Certifications
Status: Free TrialBoard Infinity
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Jenkins, AI Security, Applied Machine Learning, Java, Continuous Deployment, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management
Status: Free TrialSkills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
Status: PreviewSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management
Status: NewStatus: Free TrialCoursera
Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data
Status: NewSkills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation
Status: PreviewSkills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Automation, Data Management
Status: NewStatus: Free TrialSkills you'll gain: Build Tools, CI/CD, Software Development Tools, Java, Gradle, Apache Maven, MLOps (Machine Learning Operations), Package and Software Management, Dependency Analysis
Status: NewStatus: Free TrialSkills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting
Status: NewStatus: Free TrialSkills you'll gain: CI/CD, Continuous Deployment, Continuous Delivery, DevOps, Performance Analysis, Performance Metric, Performance Measurement, Artificial Intelligence, Application Performance Management, Operational Analysis, Root Cause Analysis
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Model Deployment, MLOps (Machine Learning Operations), Data Quality
Skills you'll gain: Model Evaluation, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, AI Security, Continuous Monitoring, Scalability
In summary, here are 10 of our most popular mlops courses
- Real-World Applications & Model Deployment in Java : Board Infinity
- Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
- Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
- Test & Debug Java ML Pipelines: Coursera
- Real-world End to End Machine Learning Ops on Google Cloud: Packt
- Engineer Features and Evaluate Models for Production: Coursera
- Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
- Master Java Build Tools for ML Projects: Coursera
- Detect AI Anomalies: Real-Time Outliers: Coursera
- Orchestrate, Analyze, and Evaluate AI Deployments: Coursera
