[D] USQL Joins Were Cool, But Now I Want to Join the GenAI Party

Reddit r/MachineLearning / 4/7/2026

💬 OpinionSignals & Early Trends

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Key Points

The author, with 1.5 years of data engineering experience, is asking for guidance to transition into AI/ML and specifically Generative AI.
They want a structured learning roadmap that first strengthens fundamentals like neural networks and NLP before moving to real-world GenAI applications.
The post frames the learning path as a professional career switch from Data Engineering toward Data Science, seeking best-practice guidance from experienced practitioners.
It indicates prior exposure to AI/ML from their CSE background and hands-on image classification projects, and now aims to deepen and broaden that knowledge toward GenAI.

Hi Experts,

I have 1.5 years of experience in Data Engineering, and now I want to start learning AI, ML, and Generative AI. I already have some knowledge of AI and ML from my college days as a CSE (AI) student. I’ve also worked on a few image classification projects and explored the application of AI in real-life problems.

Currently, I want to dive deeper into Generative AI. However, before that, I’d like to strengthen my understanding of the core concepts behind it—such as neural networks and NLP—so that I can later focus on real-world applications.

If you have a roadmap or guidance that data scientists or other professionals usually follow, it would be very helpful for me as I want to switch from a Data Engineering role to a Data Scientist role.

submitted by /u/Far-Mixture-2254
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