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
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Automation, Data Management
Skills you'll gain: Verification And Validation, Data Pipelines
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Preprocessing, Feature Engineering, Data Processing, Data Modeling, Data Management, Data Storage, Data Import/Export, Scalability
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Deployment, Google Cloud Platform, Data Processing, Data Storage Technologies, Data Modeling, Data Storage, Data Management, DevOps
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Modeling, Data Processing, Data Management, Data Storage, Data Security
Skills you'll gain: MLOps (Machine Learning Operations), Package and Software Management, Unit Testing, Testability, Python Programming
Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)
In summary, here are 10 of our most popular mlops courses
- ML Model Development and Tracking: Hands-on Guide: KodeKloud
- Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
- Automate, Optimize, and Monitor ML Models: Coursera
- Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
- MLOps with Vertex AI: Manage Features - Français: Google Cloud
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- MLOps with Vertex AI: Manage Features - Português Brasileiro: Google Cloud
- RAG-Driven Generative AI: Packt
- Build Testable Python Packages for AI: Coursera
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
