Discover How to Master Azure MLOps and Unlock Your Data Science Potential

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Azure MLOps Course Overview

Azure MLOps is a course designed to help students and professionals understand how to use Azure Machine Learning (AML) for end-to-end machine learning operations. In the course, students learn the fundamentals of AML, how to deploy and manage ML models in the cloud, utilize Azure hardware and software resources for ML, and use the MLOps framework to monitor and manage ML models. Through real-world scenarios and hands-on labs, students gain the knowledge and skills needed to build and deploy ML models in production. They will learn best practices for architecture, deployment, and operationalizing these models. The course also covers the security and compliance aspects of running ML models in the cloud. This knowledge is helpful in the AI and ML job market.


The 1-on-1 Advantage

Get 1on-1 session with our expert trainers at a date & time of your convenience.

Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.

4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.

Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Introduction to Azure ML Ops
  • What is Azure ML Ops?
  • Why do we need Azure ML Ops?
  • Overview of the Azure ML Ops workflow
  • Creating an Azure ML workspace
  • Configuring Azure DevOps and GitHub for Azure ML Ops
  • Setting up the Azure ML Ops service connection
  • Overview of Azure ML Experiments
  • Creating an Azure ML Experiment
  • Running an Azure ML Experiment
  • Viewing experiment results and logs
  • Introduction to Azure ML Pipelines
  • Creating an Azure ML Pipeline
  • Running an Azure ML Pipeline
  • Monitoring and Troubleshooting Azure ML Pipelines
  • Setting up version control for Azure ML assets
  • Collaborating with team members using Azure ML Ops
  • Configuring continuous integration and delivery for Azure ML projects
  • Introduction to Azure ML Model Deployment
  • Creating a scoring script and environment file
  • Creating an Azure ML Deployment Target
  • Deploying a model to Azure Kubernetes Service (AKS)
  • Monitoring Azure ML Deployments with Application Insights
  • Scaling and Updating Azure ML Deployments
  • Troubleshooting Azure ML Deployments
  • Best practices for using Azure ML Ops
  • Recap of key concepts and features
  • Next steps for implementing Azure ML Ops in your organization
Live Online Training (Duration : 16 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1850 + If you accept merging of other students. & excluding VAT/GST
4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1600 Per Participant & excluding VAT/GST
21 - 22 Jun GTR Co-Students
09:00 AM - 05:00 PM CST
(8 Hours/Day)
03 - 04 Jul
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Winner of the Microsoft’s Asia Superstar Campaign in FY 22
Course Prerequisites

There are no prerequisites for learning Azure MLOps. However, it would be beneficial if you have knowledge of machine learning applications and basic programming skills. Additionally, having some experience with Azure cloud services could prove helpful when taking a course or course related to Azure MLOps.

Target Audience

Azure MLOps training is an ideal choice for data scientists and other IT professionals looking to get acquainted with, and leverage the benefits provided by, the Microsoft Azure cloud platform. This training is also beneficial to developers and technology professionals looking to deploy, manage and maintain machine learning models and applications on the cloud. Data analytics professionals and DevOps professionals using Azure can also learn how to integrate their existing CI/CD pipelines with Azure MLOps to automate and monitor their ML model deployments and updates. In addition, IT administrators, C-level executives and business stakeholders who are responsible for the performance and scalability of their organization’s Azure MLOps platform can also benefit from this training and gain the tools needed to improve the productivity and reliability of their AI and ML initiatives.


Learning Objective of Azure MLOps:

1. Learn the basics of Azure MLOps and Machine Learning (ML) technologies.
2. Understand the key concepts of CI/CD Automation with Azure DevOps and Azure ML services.
3. Design and deploy workflow pipelines to automate the ML model training.
4. Configure and manage ML models, experiments, and compute targets in Azure ML.
5. Integrate Azure ML and DevOps services with external systems and software.
6. Implement ML feature engineering and model management in pipelines.
7. Train and serve predictive models using Azure ML services.
8. Perform hyperparameter optimization for model tuning and improvement.
9. Monitor and manage MLOps models and metrics in Azure Azure Dashboard.
10. Create model accuracy reports with Azure ML Explainer.


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Yes, fee excludes local taxes.
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Yes, Koenig Solutions is a Microsoft Gold Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
1-on-1 Public - Select your start date. Other students can be merged. 1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
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You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

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“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
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