MLOps Courses and Certifications

MLOps - Machine Learning Operations

1 review

Learn MLOps essentials: deployment, monitoring, feature stores, and CI/CD pipelines. Hands-on with Azure, Kubernetes, TFX, and cloud platforms for efficient machine learning operations.

• YouTube
• 17 hours
• On-Demand
• Free Video

Building Reusable Pipeline Functions

Discover how to build modular MLOps pipeline components for data processing, model training, evaluation, and persistence that form the foundation for automated ML workflows.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

MLOPS

Learn MLOps fundamentals, implementation, deployment, and continuous integration using tools like MLFlow in this comprehensive program.

• YouTube
• 10 hours
• On-Demand
• Free Video

AI Engineer Production Track: Deploy LLMs & Agents at Scale

2260 ratings at Udemy

Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.

• Udemy
• 18 hours 38 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

Aprenda MLOps no Google Cloud: implantação, avaliação e monitoramento de sistemas de ML em produção. Conheça ferramentas e práticas para automatizar e melhorar continuamente modelos implantados.

• Coursera
• 3 hours 56 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started - Français

Découvrez les outils et pratiques MLOps pour déployer, évaluer et surveiller efficacement les systèmes de ML en production sur Google Cloud, en utilisant Vertex AI pour automatiser et optimiser le cycle de vie du ML.

• Coursera
• 3 hours 22 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started - Español

Introducción a MLOps en Google Cloud: implementación, evaluación y supervisión de sistemas de AA en producción usando Vertex AI y prácticas recomendadas.

• Coursera
• 4 hours 22 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started - 한국어

이 과정에서는 Google Cloud에서 프로덕션 ML 시스템 배포, 평가, 모니터링, 운영을 위한 MLOps 도구와 권장사항을 소개합니다. MLOps는 프로덕션에서 ML 시스템을 배포, 테스트, 모니터링, 자동화하는 방법론입니다. 머신러닝 엔지니어링 전문가들은 배포된 모델의 지속적인 개선과 평가를 위해 도구를 사용합니다. 이들이 협력하거나 때론 그 역할을 하는 데이터 과학자는 고성능 모델을 빠르고 정밀하게 배포할 수 있도록 모델을 개발합니다.

• Coursera
• 3 hours 51 minutes
• On-Demand
• Paid Course

Machine Learning Operations (MLOps): Getting Started - 日本語版

このコースでは、Google Cloud 上で本番環境の ML システムをデプロイ、評価、モニタリング、運用するための MLOps ツールとベスト プラクティスについて説明します。MLOps は、本番環境 ML システムのデプロイ、テスト、モニタリング、自動化に重点を置いた規範です。機械学習エンジニアリングの担当者は、ツールを活用して、デプロイしたモデルの継続的な改善と評価を行います。また、データ サイエンティストと協力して、あるいは自らがデータ サイエンティストとして、最も効果的なモデルを迅速かつ正確…

• Coursera
• 3 hours 56 minutes
• On-Demand
• Paid Course

Face Recognition with Machine Learning + Deploy Flask App

493 ratings at Udemy

Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy

• Udemy
• 10 hours 48 minutes
• On-Demand
• Paid Course

End-to-End Machine Learning: From Idea to Implementation

425 ratings at Udemy

Build, Manage, and Deploy Machine Learning (AI) Projects with Python and MLOps

• Udemy
• 1 day 11 hours 56 minutes
• On-Demand
• Paid Course

MLOps Fundamentals - Learn MLOps Concepts with Azure demo

9601 ratings at Udemy

Learn MLOps basics of Continuous Integration, Delivery using Azure DevOps and Azure ML. Create MLOps pipeline in Azure.

• Udemy
• 2 hours 54 minutes
• On-Demand
• Paid Course

Azure Machine Learning & MLOps : Beginner to Advance

8896 ratings at Udemy

The most compressive course covering MLOps and machine learning on Azure | Zero to Hero

• Udemy
• 19 hours 18 minutes
• On-Demand
• Paid Course

The Complete Guide to AI Infrastructure: Zero to Hero

121 ratings at Udemy

Master the Essential Skills of an AI Infrastructure Engineer: GPUs, Kubernetes, MLOps, & Large Language Models.

• Udemy
• 2 days 12 hours 58 minutes
• On-Demand
• Paid Course

LLMOps Masterclass 2026 - Generative AI - MLOps - AIOps

1414 ratings at Udemy

Unlock the Future: Mastering Generative AI, MLOps, AIOps - LLMOps with Open AI and Hugging Face Models Deploy to Prod

• Udemy
• 16 hours 39 minutes
• On-Demand
• Paid Course