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DevOps Engineer - Azure with AI Services

Azure with AI Services for DevOps Engineer: A comprehensive guide to mastering Azure with AI Services as a DevOps Engineer. Learn recommended tools, practical applications, and resources to develop this critical AI skill.

AI-Driven DevOps

Leveraging AI code assistants and ML models to automate, optimize, and secure the entire software delivery lifecycle.

Infrastructure as Code

Managing infrastructure through AI-assisted code generation and optimization for consistency and automation.

Containerization & Orchestration

Deploying and managing scalable, resilient applications using containers and Kubernetes with AI optimization.

Security & Compliance (DevSecOps)

Integrating AI-powered security automation and compliance practices into the DevOps workflow (Shift-Left Security).

Cloud Platform Proficiency

Deep expertise in managing cloud services with AI features across major providers (AWS, Azure, GCP).

Azure with AI Services

Skill Description

Proficiency with Azure services featuring AI: intelligent recommendations with Advisor, AI-driven cost management, and DevOps automation.

Recommended Tools
Essential AI tools and platforms for this skill
Practical Examples
Real-world applications and use cases
  • Intelligent resource recommendations with Advisor
  • AI-driven cost management and optimization
  • Managed AKS with intelligent monitoring
  • CI/CD automation with ML predictions