Ma'am this is really helpful, your content unlock my fear of learning AI/ML/DS, and thankfully now I got the clear to choose between these career options
Thank you for this video! This basic distinction actually clarified a lot for me. What is still not clear for me though is if “AI Engineer” would literally be someone’s title. It seems like title and set of skills required would vary based on sector, like if you were to integrate AI into web, or into operational systems, or into mobile etc. Is that the case? Or would the AI engineer’s job and skills be more or less unrelated to any specific sector? Could you further explain how someone with AI Engineering skills would actually go about fitting into the market and how their skillset might adapt?
Thanks for a detailed explanation and guidance. One question mam I work as a Senior Software Engineer core area is in Java 12 years. I find a real competition in this area and also worried that these roles may be phased out will it be a good choice to switch to AI Is it possible to achieve through online courses alone or is there a university degree expected
I explained the top skills needed for ai engineers in this video - Top 9 Skills You ACTUALLY Need to become an AI Engineer ua-cam.com/video/LrMThTkUeyA/v-deo.html
@@christopherwashington9448 ML is usually a part of data science indeed, but a data scientist is more focused on data exploration and analysis, and usually the ml is a way to bring out more information on data, whereas in ML, data is just a tool to make a model. This might not be the best (or 100% correct) difference, but it's kind of like this.
Ma'am this is really helpful, your content unlock my fear of learning AI/ML/DS, and thankfully now I got the clear to choose between these career options
That's awesome! I'm excited for you to dive in!
Thank you for yet another excellent video! Very informative and up-to-date!
I'm glad you found it helpful!
Thanks for sharing !
really helps. :)
Glad it helped!
Thank you for this video! This basic distinction actually clarified a lot for me. What is still not clear for me though is if “AI Engineer” would literally be someone’s title. It seems like title and set of skills required would vary based on sector, like if you were to integrate AI into web, or into operational systems, or into mobile etc. Is that the case? Or would the AI engineer’s job and skills be more or less unrelated to any specific sector? Could you further explain how someone with AI Engineering skills would actually go about fitting into the market and how their skillset might adapt?
can we directly go for junior roles for ml/ai or do we have to begin with data science,data engineering etc?
If you can land a junior role -
Have you seen this video? 7 Reasons NOT to Become a Machine Learning Engineer
ua-cam.com/video/iBV6fTcy_D8/v-deo.html
Thanks for a detailed explanation and guidance. One question mam I work as a Senior Software Engineer core area is in Java 12 years. I find a real competition in this area and also worried that these roles may be phased out will it be a good choice to switch to AI Is it possible to achieve through online courses alone or is there a university degree expected
such an amazing video.Do you perhaps know what qualification would best fit an AI engineer
I explained the top skills needed for ai engineers in this video - Top 9 Skills You ACTUALLY Need to become an AI Engineer
ua-cam.com/video/LrMThTkUeyA/v-deo.html
Mam, need suggestions for who is considering doing CS. Where they should focus?
If you're getting started, focus on building foundation.
DSA
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First comment ❤ thanks for your time
Thanks for the first comment!!
I still got a question that I will ask you on the discord server, please do reply
I'm not on Discord but you can find me on LinkedIn!
I believe the model building part is Data Scientist’s work.
I have another video coming (title: AI for Everyone) that clarifies more of what is the difference between ai vs ml vs data scientists
Do you believe, or are you correcting?
Model building is purely part of Machine learning.
@@veniofficiel6048 Then what does a data scientist do?
@@christopherwashington9448 ML is usually a part of data science indeed, but a data scientist is more focused on data exploration and analysis, and usually the ml is a way to bring out more information on data, whereas in ML, data is just a tool to make a model. This might not be the best (or 100% correct) difference, but it's kind of like this.
❤🙂
Thanks!