"Awesome conversation! Transitioning from DevOps to MLOps is what i think every devops,sre or platform engineer would be thinking right now.Atleat me!!!. Working currently as a platform engineer still feel DevOps provides-automation, CI/CD pipelines, and infrastructure management, monitoring which are game-changers in scaling and deploying ML models . I agree with the point that Krish made that understanding the ML lifecycle is essential but i feel DevOps engineers are unique and would be the go to guys when it comes to operationalizing models efficiently in the market right now i cant think of any other background of folks . Thanks for showing how these fields complement each other-DevOps I feel really brings the backbone to MLOps!" Thanks @AbhishekVeeramala for organizing this
It's an absolutely brilliant to see. The two most wonderful guys talking, sharing and educating millions of people all around the world kudos. You guys motivate, encourage you to alot with an excellent humble way. Simply brilliant Long live with great health😊.
Nice Session Abhishek and Krish naik and thanks for providing valuable content. Adding two more simple questions, 1) Are there any communities to provide feedback or suggest more features to our contribution to open-source projects. 2) What is the part of GPU in the MLOps training.
Abhishek your videos kn technical aspect is so crisp amd concised I did even recommend people to follow your videos .But as a fresher some people lack real time experience like they haven't worked on dev qa and prod so they were not able to adapt to work I would request to create a series working on 3dev qa and prod environments
Does Azure Synapse is also one of the part of MLOPS ? Because Azure Synapse has Data Engineering (Bring the data , Clean the data , and Data Analytics . Once we get the data, models are written on the data collected
I am confused for example in the data ingestion phase - data scientist expert or ML expert will ingest data and for maintaining the version of data MLOps engineer will do it with the help of dvc my confusion how will the team collaborate I mean I find it hard to believe some capable of ingesting data will face a hard time maintaining data using dvc or an MLOps engineer who knows so many tools can't ingest data, why would company pay two professionals if this is the case? How do they collaborate like after ingesting data mlops engineer will maintain the version or what?
Hi abhishek i have 3 years of experience in manual testing and i have gone through your devops zero to hero and completed projects . one doubt im getting is that what should i mention in resume . should i mention my company work projects or the projects i have done through out the devops course for getting shortlist in resume please reply . it will help to many people who are switching from manual testing to devops
Thank you for having me...it was an amazing conversation.. 😊
Can you share UA-cam link
Do u have any youtube channel
@krishnaik06
Do ai agents replace mlops or llmops in future?
Can you please create some videos regarding ml model performance monitoring in production?
Three legend.. Two are discussing and one (audience) is starting or learning.
"Awesome conversation! Transitioning from DevOps to MLOps is what i think every devops,sre or platform engineer would be thinking right now.Atleat me!!!. Working currently as a platform engineer still feel DevOps provides-automation, CI/CD pipelines, and infrastructure management, monitoring which are game-changers in scaling and deploying ML models . I agree with the point that Krish made that understanding the ML lifecycle is essential but i feel DevOps engineers are unique and would be the go to guys when it comes to operationalizing models efficiently in the market right now i cant think of any other background of folks . Thanks for showing how these fields complement each other-DevOps I feel really brings the backbone to MLOps!"
Thanks @AbhishekVeeramala for organizing this
It's an absolutely brilliant to see. The two most wonderful guys talking, sharing and educating millions of people all around the world kudos. You guys motivate, encourage you to alot with an excellent humble way. Simply brilliant Long live with great health😊.
Hey Abhishek never expected. 2 great legends on one screen...
❤️
This video can not be described in words. They both are G.O.A.T in their own fields❤️
😍
Nice Session Abhishek and Krish naik and thanks for providing valuable content.
Adding two more simple questions,
1) Are there any communities to provide feedback or suggest more features to our contribution to open-source projects.
2) What is the part of GPU in the MLOps training.
Ah ! Unexpected Collab.. Experts in their respective fields.🤗
😍😍
Abhishek your videos kn technical aspect is so crisp amd concised I did even recommend people to follow your videos .But as a fresher some people lack real time experience like they haven't worked on dev qa and prod so they were not able to adapt to work I would request to create a series working on 3dev qa and prod environments
Love you both. It was really amazing to watch you both and discuss on this MLOps and DS ❤❤
😌
I thoroughly enjoyed the conversation ❤🎉
Thanks
Now , that's we call a video upload !!!!!!!!!!!
Thank you so much Abhi Sir,
Always welcome
Does Azure Synapse is also one of the part of MLOPS ?
Because Azure Synapse has Data Engineering (Bring the data , Clean the data , and Data Analytics . Once we get the data, models are written on the data collected
Both are gem❤
😍
Damn totally unexpected 🤯
😍😍
Great content
😍
Nice podcast
Much appreciated
Nice to see 2 legends in one frame 👌 😊
😊
Two legends in one frame ❤
😍
I am confused for example in the data ingestion phase - data scientist expert or ML expert will ingest data and for maintaining the version of data MLOps engineer will do it with the help of dvc my confusion how will the team collaborate I mean I find it hard to believe some capable of ingesting data will face a hard time maintaining data using dvc or an MLOps engineer who knows so many tools can't ingest data, why would company pay two professionals if this is the case? How do they collaborate like after ingesting data mlops engineer will maintain the version or what?
two legends
❤️
Annaaaa ❤❤❤
❤️❤️
Hi Abhishek, what are the certifications available for mlops ?
Just watched his ml video in Hindi
Hi abhishek i have 3 years of experience in manual testing and i have gone through your devops zero to hero and completed projects . one doubt im getting is that what should i mention in resume . should i mention my company work projects or the projects i have done through out the devops course for getting shortlist in resume
please reply . it will help to many people who are switching from manual testing to devops
❤❤❤
❤️
Suggest a course that could help for beginners to learn and do hands on please
Check both the youtube channels please
Hi Abhishek, can DevOps Engineer become MLOps? if yes how/where to start learning MLOps?
❤🎉
❤️
no need of introduction
😍
Hi anna
❤️