MLOps Full Course [2026] - 12 hour | MLOps for Beginners | What is MLOps? | Edureka Live

edureka! โ€ข August 21, 2025
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๐Ÿ”ฅPGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training ๐Ÿ”ฅGenerative AI Course: Masters Program: https://www.edureka.co/masters-program/generative-ai-prompt-engineering-training: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training ๐Ÿ”ฅ MLOps Certification Course: https://www.edureka.co/mlops-certification-training-course ๐Ÿ”ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-certification-programs/ms-data-science-pgp-gen-ai-ml-birchwood In this comprehensive course on *What is MLOps*, participants will gain a strong foundational understanding of the principles and practices that bridge the gap between machine learning development and real-world operations. The course begins with an in-depth overview of MLOps, emphasizing its critical role in streamlining collaboration between data science and IT operations to enable the seamless deployment of machine learning models at scale. From there, learners will explore the **Key Components of MLOps**, uncovering the essential building blocks such as version control, CI/CD pipelines, model tracking, and reproducibility. The curriculum then delves into the **MLOps Lifecycle**, walking through each stageโ€”from data preparation and model training to deployment, monitoring, and continuous improvementโ€”illustrating how to manage ML models effectively in production environments. To empower practical implementation, the course introduces popular **Tools & Frameworks** like MLflow, Kubeflow, TFX, and others that are transforming the automation and scalability of ML workflows. Finally, the course addresses the **Challenges and Real-World Hurdles** in adopting MLOps, offering actionable strategies to overcome issues such as data drift, model degradation, and infrastructure bottlenecks. 00:00:00 Introduction 00:01:44 What is MLOps? 00:13:45 What is Machine learning? 00:30:20 Types of Machine Learning Models 00:37:33 Top Machine Learning Tools & Frameworks 00:47:29 Introduction to TensorFlow 01:11:05 Python Flask Explained 01:44:20 What is Git? 02:38:40 GitHub Basics 03:08:13 What is Jenkins? 04:09:42 What is Docker? 04:49:10 Introduction to Kubernetes 04:59:45 Prometheus Explained 06:06:43 AWS Services 06:39:00 Azure Boards 06:53:39 Azure DevOps Pipeline 07:06:14 Azure DevOps Test Plans 07:31:46 Azure DevOps Artifacts 07:55:40 Azure Machine Learning 08:21:59 AWS Machine Learning 09:02:28 Google Cloud AI Platform Explained 09:18:20 Deploy Machine Learning Model using Amazon SageMaker 09:47:17 Machine Learning Interview Question & Answers ๐Ÿ”ด ๐‹๐ž๐š๐ซ๐ง ๐“๐ซ๐ž๐ง๐๐ข๐ง๐  ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ž๐ฌ ๐…๐จ๐ซ ๐…๐ซ๐ž๐ž! ๐’๐ฎ๐›๐ฌ๐œ๐ซ๐ข๐›๐ž ๐ญ๐จ ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐˜๐จ๐ฎ๐“๐ฎ๐›๐ž ๐‚๐ก๐š๐ง๐ง๐ž๐ฅ: https://edrk.in/DKQQ4Py ๐Ÿ“Feel free to share your comments below.๐Ÿ“ ๐Ÿ”ด ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐  ๐š๐ง๐ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐Ÿ”ต DevOps Online Training: http://bit.ly/3VkBRUT ๐ŸŒ• AWS Online Training: http://bit.ly/3ADYwDY ๐Ÿ”ต React Online Training: http://bit.ly/3Vc4yDw ๐ŸŒ• Tableau Online Training: http://bit.ly/3guTe6J ๐Ÿ”ต Power BI Online Training: http://bit.ly/3VntjMY ๐ŸŒ• Selenium Online Training: http://bit.ly/3EVDtis ๐Ÿ”ต PMP Online Training: http://bit.ly/3XugO44 ๐ŸŒ• Salesforce Online Training: http://bit.ly/3OsAXDH ๐Ÿ”ต Cybersecurity Online Training: http://bit.ly/3tXgw8t ๐ŸŒ• Java Online Training: http://bit.ly/3tRxghg ๐Ÿ”ต Big Data Online Training: http://bit.ly/3EvUqP5 ๐ŸŒ• RPA Online Training: http://bit.ly/3GFHKYB ๐Ÿ”ต Python Online Training: http://bit.ly/3Oubt8M ๐ŸŒ• Azure Online Training: http://bit.ly/3i4P85F ๐Ÿ”ต GCP Online Training: http://bit.ly/3VkCzS3 ๐ŸŒ• Microservices Online Training: http://bit.ly/3gxYqqv ๐Ÿ”ต Data Science Online Training: http://bit.ly/3V3nLrc ๐ŸŒ• CEHv12 Online Training: http://bit.ly/3Vhq8Hj ๐Ÿ”ต Angular Online Training: http://bit.ly/3EYcCTe ๐Ÿ”ด ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐‘๐จ๐ฅ๐ž-๐๐š๐ฌ๐ž๐ ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ ๐Ÿ”ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC ๐ŸŒ• Cloud Architect Masters Program: http://bit.ly/3OvueZy ๐Ÿ”ต Data Scientist Masters Program: http://bit.ly/3tUAOiT ๐ŸŒ• Big Data Architect Masters Program: http://bit.ly/3tTWT0V ๐Ÿ”ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 ๐ŸŒ• Business Intelligence Masters Program: http://bit.ly/3UZPqJz ๐Ÿ”ต Python Developer Masters Program: http://bit.ly/3EV6kDv ๐ŸŒ• RPA Developer Masters Program: http://bit.ly/3OteYfP ๐Ÿ”ต Web Development Masters Program: http://bit.ly/3U9R5va ๐ŸŒ• Computer Science Bootcamp Program : http://bit.ly/3UZxPBy ๐Ÿ”ต Cyber Security Masters Program: http://bit.ly/3U25rNR ๐ŸŒ• Full Stack Developer Masters Program : http://bit.ly/3tWCE2S ๐Ÿ”ต Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J ๐ŸŒ• Python Developer Masters Program : https://bit.ly/3EV6kDv ๐Ÿ”ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

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