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.

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
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
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Generative Model Architectures, Model Deployment, Azure DevOps Pipelines, Large Language Modeling, Model Training, Cloud Deployment, CI/CD, Fine-tuning
Advanced · 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
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms
Intermediate · 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, Artificial Intelligence, Model Evaluation, Continuous Integration, Git (Version Control System), System Monitoring, 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, Software Engineering, Software Versioning
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: Prompt Engineering, Amazon S3, AWS SageMaker, Amazon Bedrock, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Model Evaluation, Prompt Patterns, Generative AI, Generative AI Agents, Amazon Elastic Compute Cloud, Cloud Platforms, Amazon CloudWatch, Cloud Storage, Governance Risk Management and Compliance, Governance, AI Security, Cost Management, Risk Management, Team Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: API Design, MLOps (Machine Learning Operations), Restful API, Fine-tuning, OAuth, Model Deployment, Application Programming Interface (API), Technical Communication, Model Training, Model Evaluation, Transfer Learning, Vision Transformer (ViT), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
Intermediate · Course · 3 - 6 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