MLOps Full Course | MLOps Tutorial For Beginners | Machine Learning Operations | Intellipaat

The video mainly focuses on MLOps Full Course, not with a direct jump on the definition but will start from scratch. Firstly we will be introducing Cloud Service, and why the market opted for it over the traditional way. We will also be looking at the terms called virtualization and Hyperparameters tuning. And after covering additional topics, we will go for the jack of the video - MLOps and the process of MLOps. Then we will be setting the foot on Creating a resource group & Storage Account. The implementation of Creating Azure Machine Learning Workspace and Azure ML Pipelines using Notebook and designer option.

🔵 What is MLOps?
The MLOps (Machine Learning Operations) is a new term that came after DevOps, an engineering discipline that aims to unite ML development and ML system deployment to streamline the continuous delivery of high-performing models in production. At this point, almost every organization is incorporating AI/ML into their products. By adding/reformulating some SDLC concepts to build ML systems, a new engineering tool called MLOps is created.

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#mlopsfullcourse #mlopstutorialforbeginners #mloperations #machinelearning #machinelearningtutorialforbeginners #machinelearningtutorial #intellipaat

👇👇The following are covered in this video:
00:00:00 - Introduction to MLOps
00:01:40 - Introduction to Azure Cloud Service
00:13:12 - Transformation from Traditional Way to Cloud Platform
00:22:53 - What is Virtualization and Creating VM?
01:51:10 - What is MLOps and Process of MLOps?
02:05:56 - Understanding ML Pipelines
02:08:23 - What is Hyperparameters Turuing?
02:19:26 - Creating Resource Group and Storage Account
02:28:31 - Creating Azure Machine Learning Work Space
02:36:38 - Creating Azure ML Pipelines Using Notebook
03:13:53 - Creating Azure ML Pipelines Using Designer Option
03:37:43 - Difference Between Creating ML Pipelines Using Designer Option and Notebook
03:55:43 - Complete Hands-On

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Hi team, I have been searching for hands-on Azure MLOps crash course for a while now and this video has turned out to be the best one so far. You have outlined the course and presented it so well that a beginner like me can also understand it. I appreciate the effort you have put for this and hope you will share more videos like this.

[thisisk]

I have XP in ML, and Azure is new thing for me first 2 hour of this course increase my interest in Cloud Computing Well Explained

[klavanya]

In which platform used in MLops for practice purpose

[meenarawat]

Is there is course enough to crack interview? Please reply

[oscarllerena]

Hi thanks for the tutorial. However, I have some questions.
- If this is MLOps, in which part the CI/CD process is explained?
- Also, maybe the intention was to introduce MLOps to new students in the field. However, I believe that MLOps requires more complex Object-oriented programming instead of python scripts in notebook, besides incorporating some sort of control version of the program. Can you please comment on this? Thanks in advance

[InsideFact]

Machine learning engineer and mlops are different?

[klavanya]

MLops and azure MLops are same or different

[GauravSahani]

if USE_CURATED_ENV:
curated_environment = Environment.get(workspace=ws, name=""),

what is the name here in config file, and later I am getting error
"ModuleNotFoundError: No module named 'azureml.pipeline" in next step

Could anyone help!