Evolving your IT career in the AI age
summary
Claims that AI augments operators rather than replaces decisions and that prompt engineering plus agents speed troubleshooting get concrete treatment here, with demos using Copilot CLI and Claude 4.6, a 126-line prompt that generates stepwise Azure App Service 4XX troubleshooting, and an agentic observability flow that runs API and SQL investigations, produces charts, and files a ticket. The demos sometimes vary but show an actionable pipeline: prompt → automated analysis → remediation suggestions → issue created.
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chapters (17)
- 0:00AI career evolution
- 1:13IT and AI history
- 4:45AI as career multiplier
- 8:13PowerShell automation
- 9:14AI prompt mastery
- 13:23Better AI prompts
- 17:32AI agents automation
- 21:11Azure agentic ops
- 25:01AI as assistant not replacement
- 27:06AI future and your role
- 29:12AI for continuous learning
- 31:40Personalized AI learning
- 33:28AI productivity in IT
- 33:48AI workloads infrastructure
- 34:52Lifelong learning in AI
- 35:14Sharing AI knowledge
- 37:21Summary
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