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: Cloud Management, Patch Management, MLOps (Machine Learning Operations), Data Governance, Incident Management, Ansible, IT Automation, Data Management, Metadata Management, Capacity Management, Site Reliability Engineering, Automation, Compliance Management, Continuous Monitoring, Cost Management, System Monitoring, Predictive Modeling, Forecasting, Financial Management, Data Quality
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Applied Machine Learning, Google Cloud Platform, Data Infrastructure, Analytics, Systems Design, Data Processing, Data Pipelines, Data Architecture, Data Storage Technologies, Big Data, Statistical Reporting, Cloud Engineering, Data Visualization, Cloud Security, Cloud Services
Advanced · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Model Deployment, Applied Machine Learning, Jupyter, Transfer Learning, Model Training, Data Pipelines, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Databricks, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Acceptance Testing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Retrieval-Augmented Generation, Prompt Patterns, Agentic systems, Performance Testing, Prompt Engineering, Generative AI Agents, Generative AI, Agentic Workflows, Performance Tuning, Model Evaluation, Verification And Validation, Large Language Modeling, MLOps (Machine Learning Operations), Embeddings
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), AI Security, Software Engineering, Model Training, DevOps, Software Quality Assurance, Maintainability, CI/CD, Model Deployment, Performance Tuning, Security Testing, Responsible AI, Model Evaluation, Secure Coding, Continuous Monitoring, Model Optimization, Sampling (Statistics), Unsupervised Learning, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Quality Assurance, Data Modeling, Data Compilation, Statistical Reporting, Interactive Data Visualization, MLOps (Machine Learning Operations), Model Deployment, Data Quality, Database Development, Applied Machine Learning, Data Maintenance, Cloud Security, Machine Learning
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Performance Analysis, Performance Testing, Applied Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Technical Communication, Technical Product Management, Workflow Management, Program Evaluation, Performance Metric, Agile Project Management, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Project Performance, Data-Driven Decision-Making, AI Integrations, Machine Learning, Large Language Modeling, R Programming, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Fine-tuning, CI/CD, Hugging Face, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Model Training, Transfer Learning, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Model Optimization, Data Pipelines, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Training, Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Classification Algorithms, Continuous Deployment, Continuous Integration, Predictive Modeling, Debugging
Intermediate · Course · 1 - 4 Weeks