MLOps Courses
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.
Popular MLOps Courses and Certifications
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Code Reusability, Model Training, Test Script Development, Continuous Delivery, Test Automation, Model Evaluation, Continuous Integration, Technical Documentation, API Design, Application Programming Interface (API), Data Validation, Applied Machine Learning, Machine Learning Methods, Maintainability, Version Control, Package and Software Management, Code Review
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Model Optimization, Model Deployment, Machine Learning Methods, AI Security, Continuous Monitoring, Responsible AI
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Modeling, Feature Engineering, Data Store, Data Processing, Data Management, Data Storage
Skills you'll gain: Model Evaluation, Generative AI, Google Cloud Platform, Model Optimization, MLOps (Machine Learning Operations), AI Security, Continuous Monitoring
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Store, Model Deployment, Data Processing, Data Modeling, Data Management, Data Storage, Data Import/Export
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, DevOps, Application Lifecycle Management, Machine Learning Methods, AI Workflows, Automation
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Store, Data Preprocessing, Feature Engineering, Metadata Management, Data Processing, Data Modeling, Data Management, Data Storage, Data Import/Export, AI Workflows
Board Infinity
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, DevOps, CI/CD, Containerization, Application Deployment, Devops Tools, Cloud Deployment, Continuous Integration, Continuous Deployment, Docker (Software), Model Training, Model Evaluation, Restful API, Version Control, Git (Version Control System), Application Programming Interface (API), GitHub, API Design, Automation
Skills you'll gain: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Data Infrastructure, Model Training, Data Integrity, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Model Optimization, MLOps (Machine Learning Operations), Generative AI, AI Integrations, Large Language Modeling, Model Deployment, Model Training, Tensorflow, PyTorch (Machine Learning Library), Embeddings, Retrieval-Augmented Generation, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Natural Language Processing, Machine Learning
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Model Deployment
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Cloud Deployment, DevOps, Model Evaluation, AI Workflows, Automation, Devops Tools, Continuous Delivery, Machine Learning
In summary, here are 10 of our most popular mlops courses
- Production ML Engineering: Packaging, APIs, and Testing: Coursera
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- MLOps with Vertex AI: Manage Features - Português Brasileiro: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
- MLOps with Vertex AI: Manage Features - Français: Google Cloud
- DevOps for Machine Learning: CI/CD, APIs & Deployment: Board Infinity
- Production-Ready Multimodal ML Engineering: Coursera
- Career Development for Multimodal Intelligence: Coursera
