Ai Agents For Devops: Automate Ci/cd, Incidents & Operations
Published 7/2026
Created by Sanad Academy
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All
Levels |
Genre: eLearning |
Language: English |
Duration: 30 Lectures ( 3h 58m ) |
Size: 1.9 GB
⚡ Distinguish agentic workflows from traditional DevOps automation and scripting
⚡ Understand how AI agents fit into DevOps
⚡ Identify automation opportunities in your organization
⚡ Design AI-enhanced DevOps workflows
⚡ Implement safety guardrails and human-approval gates for agentic actions.
Requirements
❗ Basic knowledge of DevOps and AI
Description
Traditional DevOps is hitting a bottleneck. We have automated the deployment, but troubleshooting and governance still rely on human engineers staring at screens during 3:00 AM outages.
Agentic DevOps is the next evolution. It's the shift from rigid "If-This-Then-That" scripts to autonomous agents that can reason, use tools, and resolve production issues before the on-call engineer even wakes up.
This is a hands-on, technical masterclass for the modern engineer. We bridge the gap between
Generative AI and Production Operations. You won't just learn theory; you will build a functional "AI DevOps Workforce" using
CrewAI and LangChain. We focus on the
"Agentic Loop": how an AI perceives a system failure, reasons through the logs, and executes a safe, governed rollback or fix.
What You Will Learn
✨
Architecting the Agentic Loop: Transition from passive monitoring to proactive, reasoning agents.
✨
Incident Autopilot: Build agents that analyze CloudWatch/ELK logs to perform root-cause analysis in seconds.
✨
Agentic CI/CD: Integrate AI into GitHub Actions for intelligent code reviews and self-repairing builds.
✨
Multi-Agent Orchestration: Design "Swarms" where specialized agents (Security, Ops, QA) collaborate on complex tasks.
✨
Safety & Governance: Implement "Guardrails-as-Code" to ensure AI operates within strict compliance and blast-radius limits.
Course Objectives
✨
Distinguish agentic workflows from traditional DevOps automation and legacy scripting.
✨
Construct multi-agent pipelines that handle end-to-end incident lifecycles.
✨
Integrate AI agents with the enterprise stack: GitHub, Jira, Slack, and AWS/Azure.
✨
Implement human-approval gates to maintain accountability in autonomous systems.
✨
Evaluate agent reliability using "Chaos Engineering" failure scenarios in staging.
What You'll Be Able To Do After This Course
✨ Understand how AI agents fit into DevOps
✨ Identify automation opportunities in your organization
✨ Design AI-enhanced DevOps workflows
✨ Speak confidently about AI in engineering discussions
Who this course is for
⭐ IT Engineers
⭐ IT students
⭐ Platform Engineers
⭐ Cloud Engineers
⭐ DevOps profiles
⭐ SRE Engineer
⭐ AI profiles
Homepage
Код:
https://www.udemy.com/course/ai-agents-for-devops-automate-cicd-incidents-operations