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.

Amazon Web Services
Skills you'll gain: Responsible AI, Generative AI, Generative AI Agents, Prompt Engineering, Amazon Bedrock, Data Ethics, AWS SageMaker, AI Workflows, Agentic systems, AI Product Strategy, Agentic Workflows, Amazon Web Services, AI Integrations, LLM Application, AI Orchestration, MLOps (Machine Learning Operations), Application Programming Interface (API), Application Development, Solution Architecture, Data Management
Beginner · Professional Certificate · 1 - 3 Months

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Model Deployment, Data Manipulation, MLOps (Machine Learning Operations), Web Frameworks, Model Evaluation, Applied Machine Learning, Flask (Web Framework), Data Preprocessing, Django (Web Framework), Web Applications, Model Optimization, Data Cleansing, AI Personalization, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Python Programming
Mixed · Course · 1 - 3 Months

Skills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, Responsible AI, Model Evaluation, Fine-tuning, Model Deployment, Feature Engineering, LangChain, Model Optimization, Large Language Modeling, Generative Model Architectures, Generative AI, LLM Application, MLOps (Machine Learning Operations), Model Training, OpenAI API, Generative Adversarial Networks (GANs), Business Strategy, Python Programming
Intermediate · Specialization · 3 - 6 Months
Amazon Web Services
Skills you'll gain: Responsible AI, Amazon Bedrock, Data Ethics, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, LLM Application, Large Language Modeling, AI Workflows, Machine Learning, No-Code Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), AI Integrations, Model Training, Cloud Deployment, Data Pipelines, AI Workflows, AI Security, Data Preprocessing, CI/CD, Continuous Monitoring, Identity and Access Management, Version Control, Data Storage
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Databricks, Model Deployment, Responsible AI, Model Training, Microsoft Azure, Data Science, Applied Machine Learning, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning Methods, Machine Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Hardware Architecture, Model Optimization, Infrastructure Architecture, AI Workflows, Cloud Computing Architecture, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Model Training, Cloud Platforms, Computing Platforms, Performance Tuning, Interoperability, Artificial Intelligence, Product Demonstration, Systems Architecture
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Model Training, Machine Learning Methods, Data Processing, Deep Learning, Data Transformation, Model Deployment, Data Pipelines, Data Manipulation, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms
Intermediate · Specialization · 3 - 6 Months