Microsoft Azure DevOps Engineer

Service Description

Microsoft Certified: DevOps Engineer Expert certification focuses on implementing DevOps practices across development and operations, it's essential for making AI and ML models production ready. It helps you understand how to build, automate, deploy, monitor, and secure AI workflows using modern DevOps. Majority of AI solutions globally are cloud-native or cloud-supported since Ai data is in the cloud. This Essential Certification from Microsoft introduces you to AI/ML basics, including: 1. Automate the training, testing, and deployment of ML models 2. Use Azure DevOps Pipelines, GitHub Actions, and ARM/Bicep templates to manage AI infrastructure 3. Integrate with Azure Machine Learning for CI/CD of ML pipelines This Certification & Training empowers you to confidently use the following - Identity and access management (IAM) for data scientists and ML engineers Automated testing, policy enforcement, and approval gates for ML releases Observability using Azure Monitor, Log Analytics, and Application Insights These Azure tools make it easy to experiment with following across industries - 1. Version control and automation for model training scripts, notebooks, and parameters 2. CI/CD pipelines that trigger model retraining when new data arrives 3. Deployment strategies like blue-green, canary, and rollback for AI models 4. AI environments (like Azure ML, Databricks, AKS, or GPU VMs) using Terraform or Bicep 5. Self-healing, scalable infrastructure to support training, inference, and data pipelines 6. Reusable templates for AI/ML model deployment across teams 7. Collaborate using Agile boards, Git repos, wikis, and pipelines 8. Apply DevSecOps and responsible AI practices in development workflows 9. Coordinate data scientists, ML engineers, and cloud teams under a unified lifecycle Azure DevOps Engineer Expert certification helps you build the MLOps backbone for enterprise AI, enabling rapid, secure, and scalable deployment of machine learning and AI systems on Azure. It's perfect for professionals driving AI from experimentation into reliable production Category - Advanced Exam duration 120 minutes Link for Exam Registration - https://learn.microsoft.com/en-us/credentials/certifications/schedule-through-pearson-vue?examUid=exam.AI-900&examUrl=https://learn.microsoft.com/credentials/certifications Certification Exam Cost - 165 USD Exam Format - Online How Does Karamchaari.ai help you Vs. Others - 1. Train with practical's and help certify