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: Model Optimization, Model Training, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Model Training, Application Lifecycle Management, DevOps, AI Workflows, Applied Machine Learning, CI/CD, Automation
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Statistical Machine Learning, Machine Learning Algorithms, Model Optimization, Deep Learning, Data Pipelines
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Generative AI, Model Optimization, Continuous Monitoring, Model Deployment, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Automation
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Development Testing, Debugging, Code Coverage, Test Engineering, Data Pipelines
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Model Optimization, MLOps (Machine Learning Operations), Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, LLM Application, Cloud Management, Model Training, Cloud Computing, CI/CD, Model Optimization, Cloud Deployment, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Data Ethics, Jenkins, AI Security, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Reinforcement Learning, Spring Boot, Enterprise Application Management
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Evaluation, Generative AI, Generative Model Architectures, Google Cloud Platform, Model Optimization, MLOps (Machine Learning Operations), Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Technical University of Munich (TUM)
Skills you'll gain: Prompt Engineering, Amazon Bedrock, MLOps (Machine Learning Operations), Product Improvement, Innovation, Solution Design, Model Training, Generative AI, Ideation, Amazon Web Services, Lean Methodologies, Model Evaluation, Process Improvement, Human Centered Design, Product Development, New Product Development, Machine Learning Methods, Machine Learning, User Research, Risk Management
★ 4.6 (53) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Model Optimization, Cloud Management, Model Training, Cloud Deployment, Data Store, Data Strategy, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Feature Engineering, Machine Learning Algorithms
Advanced · Course · 1 - 4 Weeks