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.

Google Cloud
Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Data Pipelines, Applied Machine Learning, Model Deployment, Cloud Computing, Machine Learning
★ 1.3 (7) · Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Model Training, AI Personalization, AI Integrations, Data Integration, Google Cloud Platform, MLOps (Machine Learning Operations), Data Collection, Data Import/Export, Model Deployment, Model Evaluation, Continuous Monitoring, Application Programming Interface (API)
★ 4.3 (6) · Advanced · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment
★ 3.2 (6) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, AI Workflows, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Cloud-Native Computing, Application Deployment, Containerization, Security Controls, Kubernetes, IBM Cloud, Network Planning And Design, MLOps (Machine Learning Operations), Cloud Computing, Applied Machine Learning, Computing Platforms, Enterprise Application Management, Cloud Infrastructure, Docker (Software), DevOps, General Networking, Network Infrastructure, Software Design, Software Development
Intermediate · Course · 3 - 6 Months

Board Infinity
Skills you'll gain: Time Series Analysis and Forecasting, Feature Engineering, Forecasting, Recurrent Neural Networks (RNNs), Model Evaluation, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Data Preprocessing, Statistical Methods, Deep Learning, Supervised Learning, Statistical Modeling, Statistical Analysis, Model Training, Data Wrangling, Machine Learning, Python Programming, Correlation Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Model Optimization, PyTorch (Machine Learning Library), Fine-tuning, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Model Training, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Autoencoders, Machine Learning Methods, Machine Learning Software, Machine Learning, MLOps (Machine Learning Operations), Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Cloud Deployment, Continuous Deployment, Containerization, Docker (Software), DevOps, Release Management, Version Control, Continuous Delivery, Dependency Analysis, Performance Tuning, Performance Testing, Package and Software Management, Performance Analysis, Performance Metric, Application Performance Management, Application Development, Cost Benefit Analysis
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Responsible AI, Risking, Data Ethics, MLOps (Machine Learning Operations), Model Deployment, System Monitoring, Model Evaluation, Performance Tuning, Compliance Management, Technology Roadmaps, Governance, Prompt Engineering, Machine Learning, Risk Management, Generative AI, Data-Driven Decision-Making, Performance Analysis, Statistical Analysis, Cross-Functional Collaboration
Intermediate · Course · 3 - 6 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: Model Evaluation, Model Training, Google Cloud Platform, Model Optimization, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Predictive Modeling, Google Analytics, Applied Machine Learning, Cloud Deployment, Cloud Storage, Machine Learning, Data Management
Intermediate · Project · Less Than 2 Hours