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 Evaluation, Model Training, Image Analysis, Model Optimization, Computer Vision, Model Deployment, Image Quality, MLOps (Machine Learning Operations), Data Analysis, Deep Learning, Exploratory Data Analysis, Failure Analysis, Data Preprocessing, Workflow Management, AI Workflows, Data Transformation, Experimentation, Performance Analysis, Data Manipulation, Performance Metric
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: AI Workflows, Databricks, Initiative and Leadership, Scalability, AI Orchestration, Workflow Management, MLOps (Machine Learning Operations), Strategic Thinking, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Business Strategy, Automation, Model Evaluation
Beginner · Course · 1 - 4 Weeks

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
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Training, Model Optimization, Analysis, Performance 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

Coursera
Skills you'll gain: Data Ethics, Responsible AI, Software Documentation, Compliance Auditing, Ethical Standards And Conduct, Compliance Management, Auditing, Technical Documentation, Case Studies, Model Deployment, Auditors Report, Model Evaluation, Accountability Frameworks, MLOps (Machine Learning Operations), Accountability, Report Writing, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Optimization, Model Training, Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Software Architecture, Distributed Computing, Hybrid Cloud Computing, Dependency Analysis, Data Processing
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, Applied Machine Learning, Model Optimization, Data Pipelines, Responsible AI, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Decision Intelligence, Verification And Validation, Release Management, Maintainability, Machine Learning, Experimentation, Performance Testing, Benchmarking, Performance Analysis
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

Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation
Intermediate · Course · 1 - 3 Months