Why DEVOPS is Crucial for AI Development & SUCCESS 🔥? | LLM & Artificial Intelligence

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Are you interested in the world of DevOps and Artificial Intelligence (AI)? Come along as we explore why DevOps is essential for AI in today's fast-changing landscape.
In this discussion, we'll uncover how DevOps methods are crucial for AI technology. With AI changing industries everywhere, understanding DevOps is vital for businesses looking to make the most of AI innovations.
Learn how using DevOps can improve your AI projects, making processes simpler and teams work better together. DevOps is key for AI success nowadays, making operations smoother and collaborations more efficient.
We'll also talk about Large Language Models (LLMs) like GPT, which are important for advancing AI. These models help AI systems understand and generate human-like responses, making language tasks easier across various uses.
Join me as we explore the world of AI and DevOps, discovering the possibilities and opportunities ahead. Whether you're experienced or just starting out, this discussion will give you the knowledge to succeed in the intersection of DevOps and AI.
Get ready for a journey that will change how you see DevOps and AI. Don't miss out - subscribe now to stay updated on technology and innovation
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If you have any questions or feedback, please feel free to let us know.
🔥RU-vid:- / @savinderpuri
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RU-vid:- / @savinderpuri
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🔥RU-vid : - / @savinderpuri
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#ai #technology #devops #career #softwareengineering #aws #tech #artificialintelligence #coding #kubernetes #technology #tech #productivity

Опубликовано:

3 окт 2024

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Комментарии : 26

@FA069 Месяц назад

Loved this

@savinderpuri Месяц назад

thanks buddy, what did you like in this video?

@FA069 Месяц назад

@@savinderpuri your journey and relevance to my journey in DevOps I also started with clearcase rtc and clearquest and your enthusiasm to change accordingly to the changing tech stack and the motivation which we need to adapt...

@ajinkyanarale4528 5 месяцев назад

I have recently joined a cloud and devops program.. worked as qa for 2 years.. looking forward to ride the wave of ai as a devops engineer

@savinderpuri 5 месяцев назад

That's great Ajinkya. Only one guidance for you - see how you can leverage your experience of 2 years in QA to whatever you do as a DevOps Engineer. Do not let that go waste. Did you know of a stream called DevOps QA - you'd be a perfect fit for that!

@bablubhaig 4 месяца назад

Sir pls tell what is mean QA

@ajinkyanarale4528 4 месяца назад

@@bablubhaig quality analyst

@kamalasn 4 месяца назад

Another master video !! every single second is worth watching for devOps guys.

@savinderpuri 4 месяца назад

wow, that is some compliment!!! To be honest, my editor was like - ye 30min + ka video hai - isko chota karo. Aaj kal ki Tine bade videos natin dekhta! I had another look at the video and was like - I think there's value throughout the video. Let's put it out there and see what happens. Thank's for the validation - means a lot.

@ankitjodhani689 5 месяцев назад

Thank you for making such awesome video sir

@vikramkumars 5 месяцев назад

Awesome sir

@manmanual 25 дней назад

Hi sir, I am working as Python automation, I am more interested how system is working, DevOps fascinates me, I like to understand how programs are running in different stages so I started learning devops. I am also posting my learning in Linkedin. My question is should I fake my resume with devops work experience or should I keep it as true. I am worried about not short listing. I have been applying but not getting any calls

@savinderpuri 25 дней назад

I'm never a proponent of faking in the resume - it comes out sooner than later. And that's never good. I'd recommend accelerating your learning, creating some projects and listing them in the resume. I understand it's hard work, but needs to be done only one. And it's totally worth it!

@PriyankurPradhan 5 месяцев назад

Your video is so informative and because of you I am confident about devops, recently I got a offer as AIOps trainee, although salary is very less, what you think, should I join and what will be the future of AiOps?

@savinderpuri 5 месяцев назад

I'd dig deep on what's the actual job you're expected to do as an AIOps trainee - I've seen companies just rename Ops roles. The future of AiOps is obviously bright - just depends if your organisation is doing it right. Don't be lured with just the tag - dig deeper, ask questions.

@PriyankurPradhan 5 месяцев назад

@@savinderpuri thank you sir for the information

@Aala1Farooqui 4 месяца назад

If AI ever replaces devops and cloud so is AIops or MLops a future proof career?? I am a student and i want to get in cloud and devops but thinking AI will replace us makes me sad and unmotivated. The video was helpful thanks

@savinderpuri 4 месяца назад

Thanks buddy, keep the focus and do the work!

@onlineDevOpsHub 4 месяца назад

Hi, I am DevOps Enginner. I have one question as considering future we need to focus on XOps like MLOps, and DataOps. or keep going with DevOps only. because DevOps and MLOps are very different means pipelines structure and deployment structure are changed. So, I am confuse should I learned MLOps and switch to Data Domain or keep going into DevOps or DevSecOps domain where SDLC going on. If possible make video for this. Thanks.

@savinderpuri 4 месяца назад

Short answer - keep your focus on DevOps. There is DevOps for ML also - I'm sure your organisation will be doing something in that direction - volunteer to setup DevOps for that. I'll make a dedicated video on this - it's a good idea

@SiddharthPant 4 месяца назад

@savinderpuri is right focus on DevOps. With enough experience if you have tech mindset you will start seeing the other ops as just expansions around Ops practices. You start seeing things in big blocks as you have fundamental understanding of what those blocks do, so based on situation you will be able to modify them to your needs.

@Shubham._.chauhan 5 месяцев назад

How data shortage in AI will efect??

@savinderpuri 5 месяцев назад

I'm not sure I understand the question.... AI or LLM's in specific produce better outputs with more data (or training). And there's no shortage of training data in today's world, if you know how to position yourself. We're ALL training ChatGPT every single day! Different story for an Enterprise though.

@abhishekjadhav9911 5 месяцев назад

Been always a SDE role chaser and recently cracked an open position but been handling Devops don’t know how to chase fun of coding and logic building.

@thakurpradhyumn185 5 месяцев назад

What was your role exactly, can you tell?

@savinderpuri 5 месяцев назад

You can very well chase the fun of coding and logic building being a DevOps Engineer - there're enough architecture/coding challenges in creating complex pipelines, infra, scaling etc. Like they say - everyone is a coder now.