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Azure AI Course in Dubai, Abu Dhabi, UAE – Counsel Train Technologies

  • 4.63(3,210 Rating)

Course Overview

Course Overview

 In the CounselTrain Technologies, the Azure AI Course helps you learn how to use Artificial Intelligence (AI) tools in Microsoft Azure. This course teaches you how to create and train models and test as well as manage AI models in a straightforward and efficient manner.

You’ll understand the ways in which Azure assists in making AI work faster, more secure, and more efficient. This course will also show how teams can be more productive with the help of Azure tools. The course is designed for novices and professionals looking to understand how AI projects operate from start to finish.

At the end of this course you’ll know how to develop AI strategies that are secure, simple to operate, and implementable in real-world companies.

Schedule Dates

16 March 2026 - 17 March 2026
Azure AI Course in Dubai, Abu Dhabi, UAE – Counsel Train Technologies
22 June 2026 - 23 June 2026
Azure AI Course in Dubai, Abu Dhabi, UAE – Counsel Train Technologies
28 September 2026 - 29 September 2026
Azure AI Course in Dubai, Abu Dhabi, UAE – Counsel Train Technologies
28 December 2026 - 29 December 2026
Azure AI Course in Dubai, Abu Dhabi, UAE – Counsel Train Technologies

Course Content

  • 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 Experiment
  • 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
  • Scaling and Updating 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

FAQs

Basic knowledge of machine learning concepts and familiarity with Azure services are recommended. Some experience with Azure DevOps and GitHub will be beneficial but not mandatory.

 

The course is divided into eight modules:

  • Module 1: Introduction to Azure MLOps – Overview of MLOps and its workflow.
  • Module 2: Environment Setup – Setting up Azure ML workspaces and integrating with Azure DevOps and GitHub.
  • Module 3: Experimentation – Creating and running machine learning experiments.
  • Module 4: Building Pipelines – Developing and managing ML pipelines.
  • Module 5: Collaboration and Version Control – Best practices for team collaboration and version control.
  • Module 6: Model Deployment – Deploying models, including to Azure Kubernetes Service (AKS).
  • Module 7: Monitoring and Maintenance – Monitoring and maintaining model deployments.
  • Module 8: Implementing MLOps Strategies – Applying MLOps strategies within organizations and preparing for Azure MLOps certification.

You will learn how to set up and manage Azure ML workspaces, create and run ML experiments, build and manage ML pipelines, collaborate effectively on ML projects, deploy models, and monitor and maintain deployments.

 

Yes, the course includes practical hands-on labs and projects that allow you to apply the concepts learned in real-world scenarios.

 

Azure MLOps is beneficial across various industries, including finance, healthcare, retail, and technology. It helps organizations manage and operationalize machine learning models efficiently, leading to improved decision-making and business outcomes.

 

You can enroll by visiting the CounselTrain website and following the registration process. For further assistance, you can contact our support team.