Complete RoadMap To Learn AIOPS or MLOPS

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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.
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
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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.
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

krishnaik
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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.

thephonomen
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just wanted to understand how prometheus and Grafana comes under CI/CD ?

abhijeetbaikan
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You're a beast Krish. Awesome work. Loved it.

arskas
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It's really explained like....Jai Bajrang bali 🤗

shivamshrivastav
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How it is different from System Design?

AjaySharma-bykr
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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

fasterbaiter
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What about tools and techs like DVC, feature store, etc and model registery with MLFlow. Are these covered in the course?

shivanshudhawan
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Why is Grafana and Prometheus in the CI/CD section?

chris.dillon
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This is crazy!! Krish I was thinking about where can I get a MLops road map and the notification just pop ups😇

malharkadam
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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.👍🏻

abhijitmahapatra
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Hello Krish,
Please when will update git/GitHub playlist?

iykeasiedu
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Hi Krish, Indeed this was helpful, Is there any playlist for AIOPS where we can find all these at one place?

MadhuriChandanbatwe
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when will the remaining topics of DSA will be covered ?

yashmestry
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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

AdityaKumar-BG
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Prometheus and graphana are monitoring tools, how come they added as ci cd tools???

kumarnakka
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Hi sir use ansible or polumi fr configuration management for ci cd you can also use gitops argocd travisci or circleci

nagrajkaranth
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And job need certificate or not only skill enough?

HaideraliKhan-pmpk
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Is this real?? Kal hi maine MLOps seekhne ka socha and aaj roadmap. Wow!

bec_Divyansh
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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.

cmfanz