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: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Automation, Cloud Solutions, Continuous Deployment, Machine Learning, Containerization, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Predictive Modeling, Google Cloud Platform, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Quality
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Verification And Validation, Performance Testing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Predictive Modeling, Data Validation, Responsible AI, Google Cloud Platform, System Monitoring, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Tensorflow, OpenAI, AI Product Strategy, Cloud Infrastructure, Applied Machine Learning, Big Data, Machine Learning
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, CI/CD, Cloud Platforms, Cloud Computing, Application Deployment, Agile Software Development, DevOps, Software Engineering, Infrastructure As A Service (IaaS), Distributed Computing, Microservices, Continuous Delivery, Applied Machine Learning, Extract, Transform, Load, Cloud API, Google Cloud Platform, Machine Learning
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Data-Driven Decision-Making, Performance Tuning
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Ethics, Applied Machine Learning, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Responsible AI, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Goal Setting, Productivity
Intermediate · Professional Certificate · 3 - 6 Months