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
Duke University
DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Evaluation, Machine Learning, Applied Machine Learning
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Model Optimization, DevOps, Cloud Deployment, Data Store, Forecasting, Data Management, Data Storage Technologies, Automation, Data Import/Export
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Automation
Skills you'll gain: Prompt Engineering, Generative AI, Model Deployment, Retrieval-Augmented Generation, MLOps (Machine Learning Operations), Azure DevOps Pipelines, OpenAI, Incident Response, AI Orchestration, Agentic systems, Fine-tuning, Expense Management, Responsible AI, Operational Excellence, Application Deployment, Embeddings, Accountability Frameworks, CI/CD, LinkedIn, GitHub
What brings you to Coursera today?
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Web Frameworks, Rust (Programming Language), DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data
Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Retrieval-Augmented Generation, Apache Airflow, Hugging Face, Amazon Bedrock, Vector Databases, ChatGPT, Extract, Transform, Load, OpenAI, MLOps (Machine Learning Operations), Performance Tuning, OpenAI API, Scalability, Database Management Systems, Data Transformation
Microsoft
Skills you'll gain: Generative AI, Responsible AI, Unsupervised Learning, Fine-tuning, Model Deployment, Generative Model Architectures, Large Language Modeling, Data Management, Natural Language Processing, Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Federated Learning, Generative Adversarial Networks (GANs), LLM Application, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Model Optimization
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS SageMaker, DevOps, CI/CD, Kubernetes, Cloud-Native Computing, Model Training, Fraud detection, AI Workflows, Continuous Integration, Application Deployment, Site Reliability Engineering, Distributed Computing, Managed Services, System Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Artificial Intelligence
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
Board Infinity
Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Containerization, Amazon Web Services, Restful API, DevOps, CI/CD, Application Deployment, Microsoft Azure, Continuous Integration, AI Workflows, API Design, Continuous Deployment
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Applied Machine Learning, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation
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.
Best MLOPS courses from Duke University
Top-rated MLOPS courses offered by Duke University on Coursera.
- MLOps | Machine Learning OperationsDuke UniversityAdvancedDuke University
- DevOps, DataOps, MLOpsDuke UniversityAdvanced1 - 3 MonthsDuke University
- Large Language Model Operations (LLMOps)Duke UniversityBeginner3 - 6 MonthsDuke University
Best MLOPS certificate programs
Earn a certificate in MLOPS from top universities and companies.
- Machine Learning Operations (MLOps) on Google CloudGoogle CloudIntermediate3 - 6 MonthsSpecialization
- Microsoft Generative AI Operations (GenAIOps)MicrosoftIntermediate3 - 6 MonthsProfessional Certificate
- Microsoft AI & ML EngineeringMicrosoftIntermediate3 - 6 MonthsProfessional Certificate
Best MLOPS courses for beginners
Top-rated beginner-friendly MLOPS courses with no prerequisites.
- Machine Learning Operations (MLOps)Board InfinityBeginner1 - 3 MonthsNo prerequisites
- Hands-On MLOps Fundamentals for ML EngineersKodeKloudBeginner1 - 3 MonthsNo prerequisites
