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: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, AI Integrations, Systems Architecture, Solution Architecture, Model Optimization, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Model Training, Devops Tools, Applied Machine Learning, Application Lifecycle Management, Continuous Deployment, Cloud Deployment, Automation, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Evaluation, Generative AI, Model Optimization, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Docker (Software), Containerization, Application Deployment, Restful API, API Design, Scalability, Application Programming Interface (API), Data Validation, Software Versioning, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Model Optimization, MLOps (Machine Learning Operations), Data Quality
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, DevOps, Application Lifecycle Management, Devops Tools, AI Workflows, Applied Machine Learning, Cloud Deployment, Automation
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)
★ 4.5 (92) · Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, 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
★ 3.9 (10) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, Model Optimization, MLOps (Machine Learning Operations), Data Quality
Intermediate · Course · 1 - 4 Weeks