MLOps Courses
MLOps courses focus on the practices and tools for managing machine learning projects throughout their lifecycle. You can learn about model deployment, monitoring, and version control, along with how to streamline collaboration among teams. Topics often include automation techniques and the integration of machine learning into operational workflows.
Popular MLOps Courses and Certifications
Skills you'll gain: Model Deployment, Application Deployment, Data Preprocessing, Model Optimization
Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Data Store, Data Management, Data Storage Technologies, Data Import/Export
Microsoft
Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Multimodal Prompts, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Prompt Engineering Tools, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, ChatGPT, AI Integrations, Microsoft Azure, OpenAI, Fine-tuning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Python Programming
Skills you'll gain: API Design, MLOps (Machine Learning Operations), Fine-tuning, OAuth, Model Deployment, Application Programming Interface (API), Technical Communication, Model Training, AI Integrations, Model Evaluation, Vision Transformer (ViT), Model Optimization, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Solution Architecture, Machine Learning, Data Architecture, Machine Learning Algorithms, Data Science
Coursera
Skills you'll gain: Apache Airflow, MLOps (Machine Learning Operations), Fine-tuning, User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, Performance Testing, SQL, Model Optimization, Data Pipelines, Data Presentation, Large Language Modeling, Performance Tuning, Python Programming, Root Cause Analysis, Statistical Analysis
Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Fine-tuning, Containerization, Model Optimization, AI Workflows, Model Evaluation, Model Deployment, LangGraph, Keras (Neural Network Library), Agentic Workflows, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Deep Learning, Natural Language Processing, Python Programming
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Cloud Deployment, Automation
Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, API Testing, Application Programming Interface (API), GitHub, Automation
KodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, General Data Protection Regulation (GDPR), Model Optimization, Information Privacy
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), Model Optimization, OpenAI API, Data Presentation, Hugging Face, Analysis, CI/CD, Tensorflow
Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Google Cloud Platform, Forecasting, Automation
How to choose the right MLOps course
Start with your goal. If you want to implement MLOps for production machine learning models, look for courses covering model deployment strategies, CI/CD pipelines for ML, and monitoring ML models in production. If you want to use specific tools like Kubeflow or MLflow, choose courses that cover setup, configuration, and best practices for those tools.
