The data boss is back! Great to see back again Jash. I followed your advice on Data Engineering roadmap learnt Python and SQL, then moved on to make cloud data engineering projects to learn cloud components along the way while making projects. Just last month I managed to join Fractal Analytics as a Data Engineer. Just want to show gratitude to all the amazing youtubers like yourself who contributed to our learnings! Looking forward to more amazing content from you.
After a Long time to see you, happy to see you back.🎉 Please Provide some insights by for Azure Data Engineer, what exactly they work, what exactly services they are using etc. through a video. And How Can a fresher can get into this profile.
Thank you! I would say don't restrict yourself to Azure only. Try to be a good data engineer with good fundamental skills like data warehouse, modeling, SQL, Python, distributed computing. Cloud is just one of the skills, it shouldn't be the main thing. But if you are really interested in azure, I recommend learning tools line ADF, ADLS, Functions, Databricks, Synapse etc.
Yes and thank you for watching! For internship, in terms of skills you need SQL, Python, DSA(basic), Spark(basic), Cloud(basic). The best way to get one is first of all search on LinkedIn and send connection requests to people working in that company and then ask for referrals. If not, directly apply on the job link. All the best!
Hi, Your suggestions would help me a lot. I have 3 years experience as etl test engineer, is it possible for me to switch to mle, de or ds roles, please let me know. I have done some certifications like azure dp203, databricks ml associate.
Yes. You first need to pick your expertise to specialize on within ML/AI. It can be anything you like like NLP, classification, recommendation, llms etc. then focus on some courses specifically in that area. One example website is deeplearning.io. Once you have enough skills, do a couple of projects on azure since you mentioned azure. Hope this helps!
Hi Jash, I'm a data engineer who works on tech stack like snowflake, dbt, ADF etc. I want to know from you what should be my next steps for learning ML, AI to build LLM based applications ? I have clear basics of machine learning as of now.
Due to current job market im applying to all roles including SWE, MLE, DS, Data Engineer and Data Analyst. I have an year experience of AI Dev, so I thought to apply to all. Do you think this is the best?
You can definitely apply for SWE, MLE, Data Engineer. Data scientist and analyst might be further away from your background so chances of getting shortlisted there is less. Even in a bad job market, I recommend sticking to your guns. Otherwise no point getting shortlisted if you can't do well in the interview..
I don't have any experience in data science just only know that peoples taking about it it needs stats,coding etc and from that i liked it and start planning to build a career in data science .i recently i seen a youtube channel data janitor and his name is mike west and he calles data scientist as faker scientist and he telling that data scientist come from acedemia and they have no data skills and lots of them are fired by top companies and the role data scientist is a failure and companies have loss because of them and i started to confuse about it and then i planing to become a data analyst what is your opinion about it
I am not sure about this particular RUclips channel but a lot of videos in RUclips are clickbaits. They have to talk about something spicy in order for people to click on it. So, don't trust everything you see on RUclips. IMO, Data Science is a huge field and yes, companies do have to spend a lot on them and many Data Science projects fail but that's because of the nature of the problem they are trying to solve. That's why it's called Data Science. You have to experiment and not everything will give you good results. But both DS and MLE roles and absolutely crucial. Having said that, Data Analyst is a good starting point since it's the easiest one to learn out of all other data roles. That makes it perfect for beginners.
@@JashRadia ok thank-you he talks about data analyst,data engineering ,and machine learning and he telling that data analyst is the only entry level role and the main skill of all data role is SQL and he trying to promote his online platform logikbot that mainly contains SQL . And he hate data scientist and he like data engineering more and .he says degrees are waste in IT .
Data engineering will definitely be one of the top roles in AI evolution. You can't create AI based models or apps without data engineers first, they are the base of any data driven solution.
@@JashRadia Thank you so much jash for instance reply. Expecting a lot more data engineering content on this channel using Google cloud. Also I would like to meet you. I worked in the same building at Poonavla Fincorp on the 8th 9th floor of the CGI office. 🙂 God bless you 😇
Finally back after some break from RUclips. What are your thoughts on these 2 profiles? Let's discuss ☕❤️
The data boss is back! Great to see back again Jash. I followed your advice on Data Engineering roadmap learnt Python and SQL, then moved on to make cloud data engineering projects to learn cloud components along the way while making projects. Just last month I managed to join Fractal Analytics as a Data Engineer. Just want to show gratitude to all the amazing youtubers like yourself who contributed to our learnings! Looking forward to more amazing content from you.
Thanks you so much and congratulations 🎊 This is amazing to know! All the best for your journey 🫡
Long time Jash Bhai, always enjoyed your videos.
This video cleared a lot of my doubts, ML engineer is where I lean towards.
Thank you so much!
Great video for clarification for the people who need to opt one of the field between these two. Explained in a very great way. 🎉🎉
Thank you! Glad you liked it 😊
The wait is finally over.. Thank you so much ..😊
After a Long time to see you, happy to see you back.🎉
Please Provide some insights by for Azure Data Engineer, what exactly they work, what exactly services they are using etc. through a video.
And
How Can a fresher can get into this profile.
Thank you! I would say don't restrict yourself to Azure only. Try to be a good data engineer with good fundamental skills like data warehouse, modeling, SQL, Python, distributed computing. Cloud is just one of the skills, it shouldn't be the main thing. But if you are really interested in azure, I recommend learning tools line ADF, ADLS, Functions, Databricks, Synapse etc.
@@JashRadia thank you so much
No problem!
Back again after long time ❤❤
How will i get internship in data engineering and how much i needed to know for internships?
Yes and thank you for watching! For internship, in terms of skills you need SQL, Python, DSA(basic), Spark(basic), Cloud(basic). The best way to get one is first of all search on LinkedIn and send connection requests to people working in that company and then ask for referrals. If not, directly apply on the job link. All the best!
Hi, Your suggestions would help me a lot. I have 3 years experience as etl test engineer, is it possible for me to switch to mle, de or ds roles, please let me know. I have done some certifications like azure dp203, databricks ml associate.
Yes. You first need to pick your expertise to specialize on within ML/AI. It can be anything you like like NLP, classification, recommendation, llms etc. then focus on some courses specifically in that area. One example website is deeplearning.io. Once you have enough skills, do a couple of projects on azure since you mentioned azure. Hope this helps!
@@JashRadia Thank you, will work on it
Great Work 🎉 Looking forward for more ❤
Thank you! 😊
Great video 😃😃 after so longgg
Thank you 🫡😁
Please Make a roadmap to become ai engineer with resources
Thanks for the suggestion
Hi Jash, I'm a data engineer who works on tech stack like snowflake, dbt, ADF etc. I want to know from you what should be my next steps for learning ML, AI to build LLM based applications ? I have clear basics of machine learning as of now.
Try "Generative AIs with LLMs" course on deeplearning.ai with AWS
After a long time
You came in youtube
Yess 😁 was busy for a while in other work. thanks for watching!
Due to current job market im applying to all roles including SWE, MLE, DS, Data Engineer and Data Analyst. I have an year experience of AI Dev, so I thought to apply to all. Do you think this is the best?
You can definitely apply for SWE, MLE, Data Engineer. Data scientist and analyst might be further away from your background so chances of getting shortlisted there is less. Even in a bad job market, I recommend sticking to your guns. Otherwise no point getting shortlisted if you can't do well in the interview..
Hay jash long time no updates??
Yeah was busy for a while. I have bandwidth now to upload again! 😀
I don't have any experience in data science just only know that peoples taking about it it needs stats,coding etc and from that i liked it and start planning to build a career in data science .i recently i seen a youtube channel data janitor and his name is mike west and he calles data scientist as faker scientist and he telling that data scientist come from acedemia and they have no data skills and lots of them are fired by top companies and the role data scientist is a failure and companies have loss because of them and i started to confuse about it and then i planing to become a data analyst what is your opinion about it
I am not sure about this particular RUclips channel but a lot of videos in RUclips are clickbaits. They have to talk about something spicy in order for people to click on it. So, don't trust everything you see on RUclips. IMO, Data Science is a huge field and yes, companies do have to spend a lot on them and many Data Science projects fail but that's because of the nature of the problem they are trying to solve. That's why it's called Data Science. You have to experiment and not everything will give you good results. But both DS and MLE roles and absolutely crucial.
Having said that, Data Analyst is a good starting point since it's the easiest one to learn out of all other data roles. That makes it perfect for beginners.
@@JashRadia ok thank-you he talks about data analyst,data engineering ,and machine learning and he telling that data analyst is the only entry level role and the main skill of all data role is SQL and he trying to promote his online platform logikbot that mainly contains SQL . And he hate data scientist and he like data engineering more and .he says degrees are waste in IT .
What are your thoughts on the data Engineer job profile ? Will it be there or not because of AI?
Data engineering will definitely be one of the top roles in AI evolution. You can't create AI based models or apps without data engineers first, they are the base of any data driven solution.
@@JashRadia Thank you so much jash for instance reply. Expecting a lot more data engineering content on this channel using Google cloud.
Also I would like to meet you. I worked in the same building at Poonavla Fincorp on the 8th 9th floor of the CGI office. 🙂
God bless you 😇
Anytime! And sure, I'll let you know if I go to the office soon!
@@JashRadia Sure Jash 🙂