ETL Pipeline in MLOps | Data Management in MLOps | CampusX 

Sir I don't comment usually but I want to say this-- I have just started watching your channel. I watched many videos from 100 days of ML and DL playlists. I know that I will complete both of them and then start this playlist too. Because it's almost impossible for someone to start watching your tutorials and not fall in love with your style of teaching. The way you teach everything is just so logical and smooth that its almost like a fairytale. I have never found a teacher like you and I am blessed to find you on RU-vid. I promise that I will always remember you and I will do my best to pay you back for the invaluable knowledge you are providing for free when i will become successful in life.

Please make a free course on ETL/ data management on your website. I am from your DSMP2.0 batch! It will be very helpful if you make a course on ETL, spark and data warehousing

Please be frequent in this MLOps playlist too...🙏🙏🙏 Btw love your content, teaching style 😍😍😍

Sir ur whole setup looks cool. Slaying that mic sir!!!

First of all thanks for resuming Please go with data engineering and data warehousing series, we are genuinely requesting you.

I recently requested for an ETL playlist, I am glad that you decided to include data management in your MLops playlist. Thanks a lot

Excellent explanation. Thanks for continuing MLOPs series.

I've just joined a company as a data engineering intern. Thank you so much for this video, a real-world example always clears the concept at its best.

Really insightful video on ETL. Sir, ur style of teaching and the quality of explaining difficult concepts in a smooth, logical and easy to understand manner with intuitive examples is simply remarkable.. 👌 👍 Continue your great work sir

I was assuming that ETL concept is hard to digest, but watching this video made it so easy to understand💯🫡 Salute hein sir apke teaching style ke liye 💎

Your ability to boil down any hard fuckin concept amuses me! Best quality teaching on yt yet.

Sir thank you so much for resuming MLOPs playlist love you sir you and your teaching style both ❤😊

Sir almost we passed 1000 of videos and other blogs and etc thing but when we see your video that is another level from every one and how easily, clear,concise way to explain each and everything please sir continue we want to learn from you

sir, I completed Coursera ml specialization course but I was very confused about practicals and in which flow I should learn things, but you have covered everything in such a smooth way, I cannot tell how important these playlists are for us, please continue this series also sir 🙏🙏🙏🙏🙏

Thanks for continuing MLOPs series😊

thank you so much sir, eagerly waiting for the next video!

Along with this Data Engineering and MLOps playlist, please continue the Deep Learning playlist as well..

I love you sir. Youre the best teacher

Outstanding explanation sir🎉

Eagerly waiting for next video!!

First of all, thank you, Sir, for all of your videos, especially the "100 Days of ML," "DL," and "DSMP" playlists. Please continue the Deep Learning playlist and finish it as soon as possible. Could you also continue the ML/DL interview question playlist as well? I understand, Sir, that managing all of this is a significant task for you, but your videos are incredibly valuable to us.

Sir please continue Deeplearning playlist, eagerly waiting for your vides from long time

Amazing Sir, Waiting for the next one ; )

Thank you sir😢A great personality ❤

Please be frequent in this MLOps playlist too... Btw love your content, teaching style

Thank you very much❤❤for making this playlist

Sir, please make a comprehensive playlist on Data Engineering just like you did for Machine Learning and Deep Learning...

We are ready for paid course for mlops and gen ai but please launch as early as possible. And daily regular class.

Hello Sir, Please Continue Deep learning playlist 🙏

Sir please make video playlist on Data Engineer with Pyspark

Great lecture..

Please continue Deep learning playlist sir

Thank you sir 🙏

Thank you for resuming 🔥

Sir pleased continue kro ❤

Thanku

Great ❤

Thank you so much sir

Thanks of this video sir

THANK YOU SIR🙌

amazing. thanks a lot

Thank you sir❤

Amazing

This is helpful 🖤

please continue this MLops in depth, and cover everything asap if possible.

thank you sir

Please upload more videos on this topic

Thanks ❤

Sir what is best - dvc, ml flow or dvc + ml fow for ml projects??

Ty sir

Hope you will continue this playlist

Wow thank you❤

Sir Please continue this playlist.

Sir please try to complete this deep learning playlist as early as possible

❤

too good

thnks sir u took my feed back but u need to add one for thing before data tranformation i.e data validation wht it does is if there is a change in format bw the previous data or new data bcs u apply trasformation for the first time based on the existing data but next time of the format changes ur transformation will not work so u hve data validation that comes before data transformation

Sir, Please Continue the Deep learning playlist and try to complete the transformer series.

Please create a video on deployment on AWS or Azure from scratch cicd pipeline

Sir if possible please make a series on google cloud platform for data engineers too...Thankyou

helpful

sir next video of this series plzzz

Sir please create a supplimentry video on module and package because its little bit confusing the only one topic that left from python playlist

Kindly make complete list of mlops, yolo-8 , re enforcement learning sir

if we are extracting data from SQL database then transform it in power query ,and then loading to data model in power bi , so it also kind of ETL , right ??

sir, apke videos bahut accha hain lakin ek chij ki kami rahati hain ki software mein AI funcionality hoti hain aaj kal most of Wide Application mein. So, I request you Please free course mein Tkinter ka schedule upload kare

Sir please also cover cicd with deployment by taking one end to end project please sir

Sir please make more videos on Mlops

GCP ML-OPS and ML-ops are different ? Cloudbase ml-ops or Ml-ops are different ?

@campusx please sir complete this playlist

Practical

Sir, I would love for you to mentor me. I’m going through a tough time financially, which is why I can't afford your paid courses. I really appreciate and understand your teaching style, which I find unique and better than any other teacher.

Sir can you please make a MLOps roadmap?

sir please do some fast if possible it is my request because placement is near thank you sir

Sir when will the next video be posted?

Sir please answer can companies hire fresher for MLOps? Or we need to take experience in ML first

Please complete deep learning playlist

SSIS is also good one for ETL

Sir when are you unloading née video on ml ops

Sir, could you please make a playlist on AI just like the ML one?

Sir please make videos on Pyspark

sir can you make video on cybersecurity?

I have one request regarding DSMP 2.0, please make MLOPs an independent course so students who want to take only MLOPs can take up that course. Thank You

Sir, please make a video on realistic complete roadmap for becoming Ai engineer along with all resources needed for it in a proper order. 🙏

Sir do complete DL PLAYLIST

Hi Sir, Please share the ML-OPs course details.

Deep Learning ka platlist bhi continue karoge parallelly?

Sir dl ki playlist??

Too good 🤌🏻

Sir kindly Software Engineering k interview questions upload kren. A request from Pakistan

Hello currently there is no jobs on MLOPs and data science what's the use of learning this skills😓😓

sir is your deep learning playlist completed

🤗🚲

Sir you said now i completed deep learning playlist ... now what's are you waiting for

When next viedo will come in mlops???

Sir Please start this course ASAP 🥺

Sir notebook share kr sakta h please

sir pakistan sa enroll nhi ho raha is problem ko solve krwa da please

Waiting for Gen ai and LLM model

Sir dl Playlist is more important than mlops I guess. Because I every interview they are asking dl questions only.