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Artificial Intelligence is the hottest technology in 2023. Most tech companies are making new investments in AI which has created new career opportunities not just in machine learning but in MLOps as well. This thread is on career opportunities in #MLOps. RT to spread the word.š
What is MLOps?
As companies generate and collect vast amounts of customer data, managing these large datasets and the numerous machine-learning models they create will get increasingly complex. MLOps is sometimes referred to as #AIOps as well.
As companies generate and collect vast amounts of customer data, managing these large datasets and the numerous machine-learning models they create will get increasingly complex. MLOps is sometimes referred to as #AIOps as well.
MLOps is the systematic approach to managing the entire lifecycle of ML models and their deployment in a production environment. It combines principles and practices of software engineering and #DevOps to ensure efficient, reliable, and scalable management of ML models.
Most CS undergrads go through four years without learning how to prepare for jobs in #Cloud Dev firms.
They learn OS, DBs, languages like #Javascript, #C++, #python, etc. but little on Cloud-related topics.
Colleges/Universities should consider incorporating these 10 topics.š
They learn OS, DBs, languages like #Javascript, #C++, #python, etc. but little on Cloud-related topics.
Colleges/Universities should consider incorporating these 10 topics.š
1.History and evolution of Distributed Computing to Cloud computing
-#Grid computing
-#Parallel computing
-#Cluster computing
-Utility computing
-#Virtualization
-Service orientation
while talking about performance, robustness, high availability, delivering SLAs
-#Grid computing
-#Parallel computing
-#Cluster computing
-Utility computing
-#Virtualization
-Service orientation
while talking about performance, robustness, high availability, delivering SLAs
2. Why Cloud Apps?
- Types of Cloud (Public, Private, VPC, Hybrid, Multi-Cloud)
- Types of offerings (IaaS, PaaS, SaaS)
- Service level objectives (SLOs) and Service Level Agreements (SLAs)
- Regulatory issues, Sovereign Clouds, Cloud Security
- Types of Cloud (Public, Private, VPC, Hybrid, Multi-Cloud)
- Types of offerings (IaaS, PaaS, SaaS)
- Service level objectives (SLOs) and Service Level Agreements (SLAs)
- Regulatory issues, Sovereign Clouds, Cloud Security
I am late sharing this link, but I needed time to do it justice. š·
The piece is called "How Dark Deploys In 50ms", by my dear, brilliant friend @paulbiggar, the cofounder/CTO of @darklang who previously (this is important) cofounded @CircleCI.
The piece is called "How Dark Deploys In 50ms", by my dear, brilliant friend @paulbiggar, the cofounder/CTO of @darklang who previously (this is important) cofounded @CircleCI.
You might already be side-eyeing the title, wondering why I am telling you to read such obvious product marketing clickbait for a product youve never heard of, complete with implausibly grandiose numbers that bring to mind the bad old days of "MongoDB is Web Scale!"
Or as @markcallaghan calls it, "benchmarketing". ššš
(Oops lol the link is here: medium.com/darklang/how-dā¦)
(Oops lol the link is here: medium.com/darklang/how-dā¦)
