DevOps engineer with an AI-ish stack — what should my next steps be?

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DevOps engineer with an AI-ish stack — what should my next steps be? Hey r/devops, I'm a DevOps engineer with a few years of experience trying to level up my AI integration skills and would love some advice from people who've been down this road. Here's my current stack: \- alibaba Cloud - (not by choice, RIP me) \- argoCD for GitOps \- gitlab + gitlab pipelines for source control and pipelines \- Open WebUI with Claude and ChatGPT agents running through LiteLLM so you can say I'm not starting from zero, I've got ai models accessible to my team and an MCP server up. but I feel like I'm scratching the surface of what's possible and I'm not sure what to tackle next. some directions I've been thinking about: 1. AI-assisted gitlab pipelines (MR reviews, release notes, security scanning via LiteLLM) 2. Connecting MCP tools to our actual infra (query Alibaba resources, trigger pipelines, check argoCD sync status) 3. Going deeper on MLOps — learning to deploy and monitor models properly What would YOU prioritize in my position? Is there something that could add value to me I'm missing? any courses, projects, or resources that actually helped you (not just theoretical stuff)? Appreciate any advice 🙏 [link] [handle]

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