14 Azure DevOps for ML Engineers CI CD Pipelines: Demo 2 Pull and merge notebook

00:00 – Overview of Branching Strategy in Azure DevOps
00:45 – Creating and Editing a DevOps Sub-Branch in Databricks
02:00 – Committing Changes and Initiating Pull Requests
03:00 – Merging Pull Requests and Deleting Sub-Branches
04:30 – Creating Second and Third Sub-Branches
06:00 – Adding Folders and Notebooks in Sub-Branches
08:00 – Committing Multiple Notebooks to DevOps
09:30 – Creating Pull Requests for New Sub-Branches
11:00 – Final Merge of Sub-Branches to Main
12:00 – Verifying Folder Structure and Repository Hierarchy

💡 Complete Guide to Automating Machine Learning Workflows in Azure
💡 Complete CI CD MLOps Pipeline Using Azure DevOps and Azure ML

➡️ GitHub Code Link: https://github.com/sachin365123/MLOps

➡️ Basic Databricks - Master Azure Databricks for Data Engineers:    • DataBricks Azure  

➡️ Generative AI Basics to Advance: Install Anaconda 2025 for GenAI Hands-on :    • 0 Generative AI Basics to Advance: Install...  

🎯 Azure Data Factory
🎯 Azure Databricks with PySpark
🎯 Azure SQL Server
🎯 Azure Data Lake
🎯 Azure Cloud
🎯 GenAI
🎯 Azure AI Foundary
🎯 Azure OpenAI
🎯 Azure DevOps
Azure DevOps, Databricks, Branching Strategy, Pull Request Tutorial, Sub-Branch Workflow, DevOps Sub-Branch, Commit and Push, Merge Pull Request, Azure DevOps Tutorial, Databricks Notebook, Version Control, Git Workflow, DevOps Best Practices

➡️ Daywise Syllabus: https://docs.google.com/document/d/1N...

➡️ Instructor Profile:   / sachin-saxena-graphic-designer  

➡️ Registration Link: https://forms.gle/5VxqwnMLuqdoJwKb9

➡️ GitHub Link: https://github.com/sachin365123

➡️ Demo Link: https://sachinsaxena.graphy.com/cours...

➡️ Job Assistance WhatsApp Group link: https://chat.whatsapp.com/CrFEmndkTJ2...

💎 Azure Data Engineering: Hands-on project with Unity Catalog, Delta Lake, Medallion Architecture:
https://sachinsaxena.graphy.com/cours...

💎 : Master Data Science with Generative AI:
https://sachinsaxena.graphy.com/cours...

💡 YouTube Playlists:

🌟 Azure Data Factory:
   • Azure Data Factory  

🌟 Azure Databricks:
   • DataBricks Azure  

💡 🔵 1. How to Use Azure Machine Learning from Development to Production
Azure ML Masterclass From Dev to Production Step by Step
How to Build and Deploy ML Solutions on Azure Like a Pro
End to End ML Lifecycle on Azure Explained Dev to Prod
🔵 2. How to Automate End to End Machine Learning Solution on Azure
Automating ML Pipelines on Azure Complete E2E Guide
Zero Touch Machine Learning on Azure Build Once Automate Forever
End to End ML Automation on Azure for Real World Projects
🔵 3. Run an End to End CI CD MLOps Pipeline using Azure DevOps and Azure Machine Learning
Build CI CD MLOps Pipelines with Azure DevOps and Azure ML
MLOps on Azure Full CI CD Implementation Tutorial
Deploy ML Models Automatically with Azure DevOps and Azure ML
🔵 4. How to Use Azure DevOps for CI CD in Machine Learning
Azure DevOps for ML Engineers CI CD Pipelines Made Easy
How to Automate ML Deployments Using Azure DevOps Beginner to Pro
CI CD for ML Models Using Azure DevOps Complete Tutorial
🔵 5. Best Practices and Highly Demanded ML Capabilities on Azure Cloud
Top Azure ML Best Practices You Must Know in 2025
Most In Demand Azure Machine Learning Capabilities Ultimate Guide
Azure ML Best Practices for Scalable Production Ready Models
Complete CI CD MLOps Pipeline Using Azure DevOps and Azure ML
How to Build an MLOps Pipeline with Azure DevOps and Azure ML
CI CD for Machine Learning Models Using Azure DevOps
Deploying ML Models Automatically Using Azure DevOps and Azure ML
Enterprise MLOps with Azure DevOps and Azure Machine Learning
CI CD for ML Using Azure DevOps End to End Guide
How to Manage Machine Learning Deployments Using Azure DevOps
Practical Guide to Setting Up CI CD for ML Projects in Azure DevOps
Azure DevOps for Machine Learning Pipelines Explained
Building Automated ML Deployment Workflows in Azure DevOps
Azure Machine Learning Best Practices for Production Systems
Most Important Azure ML Capabilities for Data Scientists
Azure ML Features and Best Practices Every Engineer Should Know
Scaling Machine Learning with Azure ML Best Practices
Key Azure ML Features Used in Enterprise ML Projects