Hey everyone, I’m currently working as a Support Engineer in an Azure-based environment (~4.5 years experience). My day-to-day is mostly incident management, monitoring, and working with tools like ServiceNow, Dynatrace, Azure services, and a bit of Power BI/Databricks. The problem is I don’t really code at work, and my SQL/Python skills are pretty basic. I want to transition into AI/ML (or even MLOps), but I feel overwhelmed with too many courses and no clear path. Given my background, what would be the practical roadmap to break into ML? Or AI? Should I focus on Data Engineering → ML, or go direct? Would really appreciate honest advice submitted by /u/Ok-Scientist-2238
Originally posted by u/Ok-Scientist-2238 on r/ArtificialInteligence
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