Complete RoadMap To Learn AIOPS or MLOPS
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- เผยแพร่เมื่อ 25 ก.ย. 2022
- You can still join the Data Science Industry Ready Projects Course which started on 24th September. In this course we will be learning how to implement end to end data science projects with deployments, data pipeline implementation, ml pipeline implementation.Check out the course below and avail 10% off.
bit.ly/3DY2hqj
Timing :10am- 1pm Live Every Saturday And Sunday
We have just completed the introduction session.
Mentors: Avnish,Sudhanshu,Ketan And Krish
Avail addition 10% off using Krish10 coupon code
Prerequisites: You need to know ML, DL and python and NLP
You can still join the Data Science Industry Ready Projects Course which started on 24th September. In this course we will be learning how to implement end to end data science projects with deployments, data pipeline implementation, ml pipeline implementation.Check out the course below and avail 10% off.
bit.ly/3DY2hqj
Timing :10am- 1pm Live Every Saturday And Sunday
We have just completed the introduction session.
Mentors: Avnish,Sudhanshu,Ketan And Krish
Avail addition 10% off using Krish10 coupon code
Prerequisites: You need to know ML, DL and python and NLP
What will be upcoming courses on iNéron
Thanks for the complete outline. One thing you may missed out : linux and basic networking
@Krish Naik
What about tools and techs like DVC, feature store, etc and model registery with MLFlow. Are these covered in the course?
Granada for ci/cd?
Do you have any video about learning AIOPS if so please share.
You're a beast Krish. Awesome work. Loved it.
AIOps and MLOps are two different things. AIOps is using artificial intelligence to improve DevOps or Operations specifically, MLOps is DevOps designed for AI projetcts, two very different subjects. In this video I don't even know if you're talking about either of them, you're just citing DevOps tools.
100% agreed
i felt the same !! I am working on MLops in a company and the stuff that he is talking is an answer to his thumbnail or title
@@pavanbangaram521I want to learn mlops. What tools are you using over there? Can you suggest a good/relevant mlops course?
@@pavanbangaram521sir can you please highlight which tools to study for mlops.
Hi sir use ansible or polumi fr configuration management for ci cd you can also use gitops argocd travisci or circleci
Hello krish bhai, hope you are good. Can you please make a video on recurrent yolo which predicts the next frame which is used to track objects. Or any other model which could predict the next frame
Sir great to see the course in action, but what ai feel a lot of important pieces are missing which we use in industry like data versioning with DVC, Model tracking with MLflow and many deployment tools which not only limited to Kubernetes but kubeflow and stuff like that. It can add a lot of values to the course.👍🏻
Yes it also added...
Hey I would love your advice on something for beginners.
I have been learning analysis and visualization in python for the past couple of months
But I also want to learn DSA- should I do that in c++ or java or python
My future goals for now are getting into Data Engineering. And perhaps in the future I would like to code ML algorithms (I have heard c++ is used in that)
What would help me with that? Ur reply would be really appreciated
Hello Krish,
Please when will update git/GitHub playlist?
when will the remaining topics of DSA will be covered ?
How it is different from System Design?
just wanted to understand how prometheus and Grafana comes under CI/CD ?
This is crazy!! Krish I was thinking about where can I get a MLops road map and the notification just pop ups😇
Same here
Are you two working as a DevOps Engineer?
Prometheus and graphana are monitoring tools, how come they added as ci cd tools???
Hi Krish,Indeed this was helpful,Is there any playlist for AIOPS where we can find all these at one place?
What is the setup u are using for making this video
Amazing content thank you
Great sir!
CampusX + Krish Naik = My Entire Degree
Thanks
What about tools and techs like DVC, feature store, etc and model registery with MLFlow. Are these covered in the course?
@Krish Naik Kindly respond
Are they covered in the course?
What is the duration of this course? Is Aws Sagemaker included?
Which tool you are using for writing
Plz do video on big data I want to learn from u only
What was the platform name mentioned for 4+ year experienced people to learn towards the end of the video? I couldn't see that from the handwriting on the blackboard. Any inputs appreciated.
"Definitely"
He just said you should definitely know it
@@dingding4898 I see. Thanks for clarifying.
Please create a video on Roapmap to NLP Engineer
Please send a text on WhatsApp to the number displayed above for 1-2-1 guidance
It's really explained like....Jai Bajrang bali 🤗
What will be upcoming courses?
Will I get a internship certificate after completion of course.
Start complete Mlops projects and deployment on kuberntes
I’m a backend engineer and have so precious SRE and Devops experience. I really have no internet in a career in AIOPs. But I want to build my own system as a persona project
Is this real?? Kal hi maine MLOps seekhne ka socha and aaj roadmap. Wow!
I agree with all points , but I am not sure how a person not working as aiops or mlops , can give the roadmap ?
it is just copy paste from some blogs .
if you are data scientist give roadmap of that , why confusing people
Hello Krish,
Which is better DevSecops or data engineering?
Please suggest me.
Thanks in advance.
CAN I GET URL OF COMPLETE MLOPS COURSE PLEASE
Why is Grafana and Prometheus in the CI/CD section?
Lol exactly😂
Looks like Krish is just throwing keywords.. Like in an interview😅
Grafana and Prometheus for CICD ???????
Shouldn't have mentioned the monitoring tools on cicd.
final roadmap 11:41
why is steam on??? games
Hii sir.. I want to switch my career to Data Analyst. Will I get a job after completing the IBM Data Analyst course on Coursera?
Please send a text on WhatsApp to the number displayed above for 1-2-1 guidance
Hi I want to learn machine learning
How can I strat the course can you please help me
Please send a text on WhatsApp to the number displayed above for 1-2-1 guidance
Well, data scientist is someone who has indepth domain knowledge like life science, insurance, financial derivatives, etc and has solid maths stats background. Naturally he or she will have way way more experience than 2 or 3 years. So their target is to get insights from data using a model, why would they care about CI CD pipeline, or building a docker image etc? Aren't they very different roles?
Ideally these aren't responsiblities that comes under the data scientist role. The problem is many companies still do not have (or dont want to have) strict task allocation to data scientists. If you are working on a model development project and your production environment is a peice of web app or mob app, knowing the entire life cycle helps. So that you can make any changes to your code and automatically changes will refelct in prod. As data science teams are not as big as software engineering teams, it is becoming a multi hate game called full stack data scintist who are jack of all.
@@aritratalapatra8452 full stack data scientist, i have not heard of this term. But i know pretty well companies serious about making sense out of data have specialized roles who are real data scientists, with predominantly from stats, maths background, PhDs
@@aritratalapatra8452 is that also called "product data scientist"?
DevOps sre skills same
Github, Github Actions, etc. aren't open-source sir. 🙏🙏😆