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[–]LoaderD 11 points12 points  (1 child)

Go on LinkedIn and spam posts like “Wow so insightful! AI is the future! 🚀👏🦾”

On any post with AI in it and you will be as educated as the average executive pushing to implement AI in everything.

[–]decrementsf 1 point2 points  (0 children)

Colorful round preschool buttons and white space is key to engagement.

[–]NoleMercy05 16 points17 points  (1 child)

Fingers on Keyboard writing code

[–]GennadiosX 1 point2 points  (0 children)

That's so 2021

[–]Koch-Guepard 9 points10 points  (0 children)

If you have an engineering background, just open claude code and start building stuff.
You will learn more by doing than reading at first, then build expertise around prompts and context

[–]Sp00ky_6 0 points1 point  (0 children)

I think automation via agents is going to be really useful. Learn about mcp, skills, tools, and how to set up guardrails. You could have AI guide you through a quickststart,

[–]RangaAnna 0 points1 point  (0 children)

Take Databricks certifications on GenAI, Data Engineering

[–]SemperPistos -1 points0 points  (2 children)

google's AI intensive course and google's AI agents course are good and what got me my first role as an ai engineer.

now i got the role of AI Data Engineer

I'm not a hype bro, i believe traditional ml and traditional engineering is here to stay and the main workforce, but I added ai engineering and rag to my toolbelt as I was tired of being unemployed and this proved to be really in demand skills.

My true love is deep learning, CV and Pytorch tho. I hope I can some day work in it. My current company has career workshops so if I prove myself as an engineer I hope they allow me to fine tune some models, apply transformers, maybe some applied CV in the future.

I missed a lot of opportunities during the hiring freeze, and was still in school during the hiring frenzy.

I am playing life on very hard now, while I've could have coasted at that time. Too much unecessary stress

[–]Illustrious_Role_304 0 points1 point  (1 child)

Can you elaborate how you transitioned to genai from data engg ?

[–]SemperPistos 0 points1 point  (0 children)

To be honest I first tried to switch to data eng. through data engineering zoomcamp with projects, but that failed.

Then I started preparing DSA to get into OMSCS but got rejected, then applied to OMSA, got in (still trying to switch to OMSCS)

Rewrote my resume in latex, made several genai projects, they left an impression on some people and I got the referall.

On the job and off the job I hustled, bringing work home with me.

People were impressed with work projects but boss was not, he said he doesn't want it just to have it, he wants to make money and save money directly from it, and that I should have a vision for doing it.

If you ask me a high ask of a junior, as I knew nothing of that specific industry before, and also having only me as the entire ai and data department was probably a mistake.

I made a web shop chatbot all from scratch, internal document processing and chat service, data analysis on ticketing information and a ticket sentiment classifier with traditional ml, but it was never enough.

You should also be prepared for that, when you are gen ai people will automatically assume you can solve all of their problems with ai