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.

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
★ 4.8 (406) · Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Continuous Delivery, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Verification And Validation, AI Workflows, Business Priorities, Performance Analysis, Strategic Decision-Making
Advanced · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Model Training, Data Security, Amazon Web Services, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Model Training, Application Deployment, AI Workflows, Model Evaluation, Real Time Data, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, AI Workflows, Machine Learning Software, Data Lakes, CI/CD, Model Evaluation, Applied Machine Learning, Data Store, Machine Learning, Development Environment, Predictive Modeling, Statistical Machine Learning, Data Science, Machine Learning Algorithms, Python Programming
Advanced · Course · 1 - 3 Months
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Metadata Management, System Monitoring, Software Versioning, Data-Driven Decision-Making, Incident Response
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Kubernetes, Cloud-Native Computing, Model Training, DevOps, AI Workflows, CI/CD, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scalability, Data Pipelines, Docker (Software), Machine Learning Algorithms, Data Science, Data Validation, Python Programming, Artificial Intelligence, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Fraud detection, Responsible AI, Feature Engineering, Site Reliability Engineering, Managed Services, System Monitoring, Amazon CloudWatch, Scalability, Continuous Monitoring, Distributed Computing, Scikit Learn (Machine Learning Library), Cost Reduction, Machine Learning Algorithms, Amazon S3, Pandas (Python Package), Python Programming, Artificial Intelligence
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Intermediate · Specialization · 3 - 6 Months