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.

Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Scalability, Machine Learning, Technical Design, Amazon Elastic Compute Cloud, Cloud Computing, AWS Identity and Access Management (IAM), Cloud Security, Data Management, Disaster Recovery, Data Security
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines
Advanced · Course · 1 - 3 Months

Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Prompt Engineering, AWS SageMaker, Extract, Transform, Load, Data Pipelines, CI/CD, Supervised Learning, Application Deployment, Scalability, Performance Tuning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Edureka
Skills you'll gain: Responsible AI, Data Storytelling, Data Presentation, Predictive Modeling, Decision Support Systems, Operational Efficiency, Automation, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Decision Making, Business Analytics, Agentic systems, MLOps (Machine Learning Operations), Forecasting, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Data Security, Text Mining
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: LangChain, LLM Application, LangGraph, Large Language Modeling, Generative AI, Generative Model Architectures, Cloud-Based Integration, CI/CD, Cloud API, Data Integration, Artificial Intelligence, Containerization, Restful API, Open Source Technology, MLOps (Machine Learning Operations), Cloud Development, Continuous Integration, Amazon Web Services, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
Intermediate · Specialization · 1 - 3 Months

Edureka
Skills you'll gain: Responsible AI, Incident Response, Data Ethics, Generative AI, LLM Application, Application Security, Large Language Modeling, Security Engineering, Threat Modeling, Cybersecurity, Security Controls, IT Security Architecture, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Security Management, MLOps (Machine Learning Operations), Agentic systems, Ethical Standards And Conduct
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, 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
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Predictive Modeling, Responsible AI, Google Cloud Platform, Machine Learning, Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Application Deployment, Automation, Data Processing, Scalability
Intermediate · Course · 1 - 4 Weeks