Build: Updated readme to reflect build status

Author: jainr

README.md

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 # DevOps For AI
 
+[![Build Status](https://teamdanielletrialcicd.visualstudio.com/MLAKSDeployAML/_apis/build/status/DevopsforAI-AML?branchName=buildpipeline)](https://teamdanielletrialcicd.visualstudio.com/MLAKSDeployAML/_build/latest?definitionId=9&branchName=buildpipeline)
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 [DevOps for AI template](https://azuredevopsdemogenerator.azurewebsites.net/?name=azure%20machine%20learning) will help you to understand how to build the Continuous Integration and Continuous Delivery pipeline for a ML/AI project. We will be using the Azure DevOps Project for build and release pipelines along with Azure ML services for ML/AI model management and operationalization. 
 
 This template contains code and pipeline definition for a machine learning project demonstrating how to automate the end to end ML/AI project. The build pipelines include DevOps tasks for data sanity test, unit test, model training on different compute targets, model version management, model evaluation/model selection, model deployment as realtime web service, staged deployment to QA/prod, integration testing and functional testing.