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.

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning Methods, Machine Learning, Applied Machine Learning
★ 4.5 (131) · Beginner · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS SageMaker, DevOps, CI/CD, Kubernetes, Cloud-Native Computing, Model Training, Fraud detection, Continuous Deployment, Devops Tools, AI Workflows, Continuous Integration, Application Deployment, Site Reliability Engineering, Application Lifecycle Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Artificial Intelligence
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation
Beginner · Specialization · 1 - 3 Months

Pearson
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Model Deployment, Data Manipulation, Test Script Development, Software Testing, Data Import/Export, Applied Machine Learning, Test Automation, Data Wrangling, Python Programming, Code Reusability, Data Processing, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting
★ 4.2 (375) · Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, Docker (Software), Microsoft Azure, Continuous Deployment, Cloud Computing, Machine Learning Software, GitHub
★ 3.8 (69) · Advanced · Course · 1 - 4 Weeks

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, Model Evaluation, Continuous Integration, Git (Version Control System), Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), AI Workflows, API Design, CI/CD, Software Quality Assurance, Code Review, Maintainability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies
★ 4 (20) · 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: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Data Engineering, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Python Programming
★ 3.6 (60) · Advanced · Course · 1 - 3 Months