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: Vector Databases, Performance Tuning, Data Migration, Data Infrastructure, Infrastructure Architecture, Data Integrity, Scalability, Embeddings, Data Import/Export, Data Engineering, Database Management, MLOps (Machine Learning Operations), Scripting, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Solution Architecture, Systems Design, Architectural Drawing, Software Design, Artificial Intelligence and Machine Learning (AI/ML), Design Specifications, Dataflow, Data Store, Functional Specification, Diagram Design, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
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
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Cloud Computing Architecture, Cloud Management, Model Training, Cloud Infrastructure, Distributed Computing, Data Pipelines, Managed Services, Cost Management, Cost Benefit Analysis
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Optimization, Model Training, Dataflow, AI Workflows, Application Performance Management, Data Pipelines, MLOps (Machine Learning Operations), Data Flow Diagrams (DFDs), Graph Theory, Data Processing, Data Manipulation
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Automation, Statistical Methods, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Threat Modeling, Data Visualization, Data Presentation, AI Security, Interactive Data Visualization, A/B Testing, Threat Management, Open Web Application Security Project (OWASP), Secure Coding, Application Security, Responsible AI, System Monitoring, MLOps (Machine Learning Operations), Analytics, Data Governance, Application Programming Interface (API), Vulnerability Assessments, Cyber Governance, Data Processing, Data Management
Intermediate · Course · 1 - 3 Months