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.

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Script Development, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Verification And Validation, Anomaly Detection, Data Integrity, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Continuous Deployment, Application Performance Management, Continuous Integration, Google App Engine, Model Training, Site Reliability Engineering
Intermediate · Course · 1 - 3 Months

Pragmatic AI Labs
Skills you'll gain: GitHub, Package and Software Management, Okta, Azure Active Directory, Security Assertion Markup Language (SAML), Enterprise Application Management, Single Sign-On (SSO), Git (Version Control System), Continuous Integration, CI/CD, Authorization (Computing), Role-Based Access Control (RBAC), Enterprise Security, Identity and Access Management, Apache Maven, User Provisioning, MLOps (Machine Learning Operations), Containerization, Security Strategy, Automation
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Hugging Face, Model Evaluation, Model Optimization, Embeddings, Transfer Learning, LLM Application, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Fine-tuning, Model Deployment, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Gemini, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, AI Workflows, Artificial Intelligence, Model Training, Applied Machine Learning, Cloud Infrastructure, Machine Learning, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Model Optimization, Keras (Neural Network Library), Model Training, MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Integrations, System Monitoring, API Testing, Restful API, Site Reliability Engineering, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Agentic Workflows, Technical Communication, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Professional Development, Generative AI Agents, MLOps (Machine Learning Operations), Technical Documentation, Coaching, Technical Writing, Portfolio Management, Project Documentation, Problem Solving, Communication Strategies, GitHub
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Verification And Validation, Site Reliability Engineering, AI Workflows, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, System Requirements, Business Risk Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Workflow Management, Data Management, Model Deployment, Model Training, Information Management, Metadata Management, Google Cloud Platform, AI Workflows, Model Optimization, Machine Learning Methods, Data Pipelines, Model Evaluation, Predictive Modeling, AI Orchestration, Machine Learning
Intermediate · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: No-Code Development, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Performance Measurement, Business Metrics, Responsible AI, Cloud Deployment, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Compliance Management
Intermediate · Course · 1 - 4 Weeks