MLOps Courses
MLOps courses focus on the practices and tools for managing machine learning projects throughout their lifecycle. You can learn about model deployment, monitoring, and version control, along with how to streamline collaboration among teams. Topics often include automation techniques and the integration of machine learning into operational workflows.
Popular MLOps Courses and Certifications
Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Retrieval-Augmented Generation, Embeddings, Data Maintenance, Data Governance, Data Quality, Data Pipelines, Cloud Computing, Solution Architecture, Vector Databases, Model Evaluation, Data Validation, Technology Roadmaps, Data Analysis, Data Science, Information Technology, Continuous Monitoring, Software Versioning, Application Deployment
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Store, Data Modeling, Data Management, Cloud Deployment, Data Storage, Data Import/Export
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Model Training, Deep Learning, Generative AI, PyTorch (Machine Learning Library), Application Deployment, Cloud Deployment, Hugging Face, Model Evaluation, AI Workflows, Microsoft Azure, Performance Testing, Software Documentation, Containerization, Cloud Computing, Machine Learning, Computer Science, Data Science
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Store, Google Cloud Platform, Data Modeling, Data Management, Data Storage
Skills you'll gain: Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Systems Architecture, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Systems Design, Machine Learning, Technical Communication, Scalability, Data Science, Personal Development
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Applications, Cloud API, Machine Learning, Software Engineering, Computer Vision, Application Programming Interface (API)
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Store, Data Storage, Data Modeling, Data Management
Skills you'll gain: Model Optimization, Model Deployment, Model Training, Cloud Deployment, Fine-tuning
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Store, Model Deployment, Data Modeling, Data Management, Data Storage, Data Import/Export
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Model Evaluation, Cloud Deployment, Continuous Monitoring, Automation
Microsoft
Skills you'll gain: Technical Communication, Systems Architecture, MLOps (Machine Learning Operations), System Design and Implementation, Artificial Intelligence and Machine Learning (AI/ML), Professional Development, Deep Learning, Microsoft Azure, Model Deployment, Verbal Communication Skills, Cloud Engineering, Machine Learning, Personal Development, Data Science
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Data Store, Model Deployment, Google Cloud Platform, Data Storage Technologies, Data Modeling, Data Storage, Data Management, Data Import/Export
How to choose the right MLOps course
Start with your goal. If you want to implement MLOps for production machine learning models, look for courses covering model deployment strategies, CI/CD pipelines for ML, and monitoring ML models in production. If you want to use specific tools like Kubeflow or MLflow, choose courses that cover setup, configuration, and best practices for those tools.
