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Zain♡'s avatar

How much should I need to spend on Deep Learning algorithms also consider ML algorithms…. Building projecta using these algorithms such as RNNs (LSTM GRU), attention mechanisms and Transformers… and building end to end projects combining multiple technologies… (MLOps lifecycle)

Or should I proceed with GenAi having a strong foundation on Deep Learning with a little practical implementations…?

What should be the general or ideal way to approach mlops projects like from data ingestion to modeling to building an application then monitoring backend frontend… I am confused so much.

Tivadar Danka's avatar

Hey, thanks for the mention!

Miguel Otero Pedrido's avatar

My pleasure, you guys are doing an amazing job!

Sthitaprajna Sahu's avatar

Great read very excited for the next week for the announcement

KlarkKent's avatar

Is it possible to get accepted to tech companies as a ML Engineer with a low GPA ?

Miguel Otero Pedrido's avatar

Yes, it's definitely possible. Most companies care more about:

* Projects & portfolio

* Practical experience

* Strong coding / interview skills

Honestly, not a single company I've worked for ever cared about my GPA haha.

KlarkKent's avatar

wow really, thanks for the reply !

Suchi Raman's avatar

Looking forward....thanks for real talk and not just template stuff!

Luis Alberto Sanchez's avatar

Like it so much. You have described me, am so overwhelmed trying to build the perfect thing that am just distracted all the time.

Chidera Obiezue's avatar

And is it advisable to get an aws certification or should I just build as many relevant projects as possible, considering I have no previous experience.

Chidera Obiezue's avatar

Do I need a master's degree to work as an ml/ai engineer