Thanks for sharing such awesome content! You seem a bit tired, though. Make sure to get some rest so you can keep giving us this great information. We really appreciate all your hard work!
Thanks buddy for noticing that. I was indeed tired that day, but wanted to really make the video so that it could go out on the weekend. Sometimes, it's tough managing everything. It's comments like this that keep me going!
Well... it's tough to mention everything in one short video! I've spoken about ML in Creator profile, you can check the mindmap at: puriteam.gumroad.com/l/AIRoadmap
Hmm... why do you say the video ended abruptly? I covered the entire mindmap and then gave closing remarks. Curious to know why you think so? Timestamps added!
I am a devops engineer having 5 years of experience. My company started using copilot to adopt AI. I am curious to know in devops domain, from what point I should start to learn AI?
At a high level i'll be responsible for 3 main charters, as mentioned in my LI update: 1. Global DevSecOps Practice 2. Setting up SRE Practice 3. AI across SDLC With senior roles, you have to figure out the exact roles and responsibilities as you go along - nothing is well defined :-)
### Video Summary and Subheadings with Timestamps **Factors to Evaluate When a New Technology Pops Up** 1. **Who's Investing and How Much** (02:34) - Check where major tech companies (FANG: Facebook, Apple, Amazon, Netflix, Google) are investing their money, especially in AI. 2. **Enterprise Excitement** (04:01) - Determine if your own company or industry is showing interest in the technology, indicating its potential impact on your career. 3. **Startups and Innovation** (04:33) - While the proliferation of startups can indicate a technology’s potential, it can also be misleading due to the volatility of the startup world. 4. **Capitalistic Alignment** (05:07) - Evaluate whether the technology supports capitalistic values, unlike decentralized technologies like blockchain which can be anti-capitalistic. **Logical Deduction for AI** (05:57) - AI passes all the mentioned evaluation criteria, indicating it could be the next big disruptor. **AI: Product vs. Feature** (06:08) - **Example of Kitchen Appliances** (06:57) - Toaster, oven, and griller started as independent products but are now combined into a single product (OTG). - **Example of Media** (07:49) - Radio evolved into Spotify, now a feature on phones. - **Software Engineering Application** (08:25) - ClearCase as an early version control system evolved into modern solutions like GitHub, now just a feature in broader DevOps tools. **Learning AI: Roadmap and Personas** (13:02) 1. **User Persona** (13:27) - **Starting with Basic Tools** (15:07) - Experiment with ChatGPT, DALL-E, MidJourney, Copilot, and Perplexity. - **Prompt Engineering** (16:22) - Learn to write effective prompts for various AI tools.
2. **Implementer Persona in SDLC** (21:01) - **Developers** (21:05) - Use coding assistants like GitHub Copilot, explore AI solutions from AWS, Azure, and GCP. - **QA Engineers** (22:30) - Explore AI features in test automation tools for test planning, creation, execution, and reporting.
Sir, what about those people who are good at programming/development but are absolutely horrible at mathematics ? Should we even touch anything related to AI like Machine Learning, LLM & all or should we stick to coding ?
Like i've explained in the roadmap - there are 3 persona's to learning AI - User, implementor and creator. Maths/graph theory/stats is required if you're the Creator - if you're creating AI algorithms. If you're just a user and even implementor (meaning, you use AI as a Cloud/DevOps/Dev), you do not need maths. Have a look at the mindmap to understand more: puriteam.gumroad.com/l/AIRoadmap
Stable diffusion is in the same category as Mid-Journey, which i've mentioned in User persona. Have a look at the mindmap at: puriteam.gumroad.com/l/AIRoadmap
@@savinderpuri happy to hear from u Mota bhai ,following the same devops path from your side which is exactly same in kodekloud platform and I will do my best ok
Thanks for sharing such awesome content! You seem a bit tired, though. Make sure to get some rest so you can keep giving us this great information. We really appreciate all your hard work!
Thanks buddy for noticing that. I was indeed tired that day, but wanted to really make the video so that it could go out on the weekend. Sometimes, it's tough managing everything. It's comments like this that keep me going!
I have binged all your videos today. Great content 👌
awesome - which one did you like best?
I am not sure how your videos are coming just in time in my feed when i am wondering about the topic… this was great too… thannk u 😄😄
You are so welcome
sir make another video on AI like this
sure, what would you like covered in that video?
You should to add time stamps
Will add!!
Timestamps added!
Sir please post detail video about Data Engineering. It's importance in the world of AI etc.
Waiting for a detailed video on this❤
yes, it's in the roadmap!
This roadmap is more fresh and advanced than I expected, but I'm still wondering why you didn't mention learning ML, DL, and NLP.
Well... it's tough to mention everything in one short video!
I've spoken about ML in Creator profile, you can check the mindmap at: puriteam.gumroad.com/l/AIRoadmap
Video ended abruptly.
Also, PLEASE add time stamps and topic names to make it more informative
and sir your all videos are very informative but sir you need to explain fast and need to make 10-15 minutes video only
Hmm... why do you say the video ended abruptly?
I covered the entire mindmap and then gave closing remarks.
Curious to know why you think so?
Timestamps added!
Feedback accepted!
Tend to explain a lot more and slowly - just trying to ensure everyone gets it :-)
I'm working on improving this!
Savinder, sir, can you make a video on GenAI/AI skills and a roadmap for experienced non-coders who want to take the path for the PM or PDM role?
sure, added to backlog!
I am learning full stack web development should I learn devops for secure my future. 🙂
Exp ? Which technology?
Need more context to understand your background.
Generally speaking, full stack dev + DevOps basics is a good combo
Awesome content
thanks mate, what did you like best?
I am a devops engineer having 5 years of experience. My company started using copilot to adopt AI. I am curious to know in devops domain, from what point I should start to learn AI?
Thanks a lot Savinder veer g for sharing such awesome content!
So nice of you and share with your friends
Happy to be here
me too!!!! 🤣
Can you please explain that how A.I. will impact the field of DevOps and Cloud?
Have a look at this one: ruclips.net/video/nEb0YQjwoKE/видео.html
Awesome content my guruji 🙏🙏
thanks mate!
Thanks for the detailed and informative video.
Glad it was helpful!
If someone developer has not started job and want to learn AI what impact will be on myself
If you've not started your job, focus on getting the job. AI is the least of your problems today!
sir please share about your new company and the roles and responsibilities of your role
At a high level i'll be responsible for 3 main charters, as mentioned in my LI update:
1. Global DevSecOps Practice
2. Setting up SRE Practice
3. AI across SDLC
With senior roles, you have to figure out the exact roles and responsibilities as you go along - nothing is well defined :-)
@@savinderpuri 🙏got it
Sir can you pleass make a roadmap for those who belong to non tech on how to get a job in tech field
I've covered this for DevOps in this playlist: ruclips.net/p/PLOICeOprDHbe3NHBKR0YrOkY24qguXB1R
### Video Summary and Subheadings with Timestamps
**Factors to Evaluate When a New Technology Pops Up**
1. **Who's Investing and How Much** (02:34)
- Check where major tech companies (FANG: Facebook, Apple, Amazon, Netflix, Google) are investing their money, especially in AI.
2. **Enterprise Excitement** (04:01)
- Determine if your own company or industry is showing interest in the technology, indicating its potential impact on your career.
3. **Startups and Innovation** (04:33)
- While the proliferation of startups can indicate a technology’s potential, it can also be misleading due to the volatility of the startup world.
4. **Capitalistic Alignment** (05:07)
- Evaluate whether the technology supports capitalistic values, unlike decentralized technologies like blockchain which can be anti-capitalistic.
**Logical Deduction for AI** (05:57)
- AI passes all the mentioned evaluation criteria, indicating it could be the next big disruptor.
**AI: Product vs. Feature** (06:08)
- **Example of Kitchen Appliances** (06:57)
- Toaster, oven, and griller started as independent products but are now combined into a single product (OTG).
- **Example of Media** (07:49)
- Radio evolved into Spotify, now a feature on phones.
- **Software Engineering Application** (08:25)
- ClearCase as an early version control system evolved into modern solutions like GitHub, now just a feature in broader DevOps tools.
**Learning AI: Roadmap and Personas** (13:02)
1. **User Persona** (13:27)
- **Starting with Basic Tools** (15:07)
- Experiment with ChatGPT, DALL-E, MidJourney, Copilot, and Perplexity.
- **Prompt Engineering** (16:22)
- Learn to write effective prompts for various AI tools.
2. **Implementer Persona in SDLC** (21:01)
- **Developers** (21:05)
- Use coding assistants like GitHub Copilot, explore AI solutions from AWS, Azure, and GCP.
- **QA Engineers** (22:30)
- Explore AI features in test automation tools for test planning, creation, execution, and reporting.
Thank you for using Ai ( Summary extension) and adding these timestamps!!
Timestamps added
insightful :)
Most welcome
Thanks virji
thank you Harpreet? What did you like best in the video?
Sir, what about those people who are good at programming/development but are absolutely horrible at mathematics ? Should we even touch anything related to AI like Machine Learning, LLM & all or should we stick to coding ?
Like i've explained in the roadmap - there are 3 persona's to learning AI - User, implementor and creator.
Maths/graph theory/stats is required if you're the Creator - if you're creating AI algorithms. If you're just a user and even implementor (meaning, you use AI as a Cloud/DevOps/Dev), you do not need maths.
Have a look at the mindmap to understand more: puriteam.gumroad.com/l/AIRoadmap
@@savinderpuri Ok Thank You Sir 🙏🙏
2X
I know... i'm working on making quicker videos :-)
Feedback accepted!
Is it possible to become data engineer after bcom without mtech or mca
Sure, if you have interest and study and make projects
very nice and informative video could be more helpful sir if you provide timestamps.
Timestamps added!
Thanks for this Session . Mr. Savinder you are a Rockstar , a Legend and a Pioneer in DevOps .
Thank you. O thank you. Oh ho ho hooo thank you very much!!!
sir how can we use ai as a creator
use it to write stuff, create animations, still - lots of options.
What specifically do you mean by "creator"?
What about Stable diffusion ?
Stable diffusion is in the same category as Mid-Journey, which i've mentioned in User persona.
Have a look at the mindmap at: puriteam.gumroad.com/l/AIRoadmap
Your voice are little slow use good mike or little closer
yeah, feedback taken. I was a tired when I filmed this one and wasn't attentive enough on the finer details.
Will take care henceforth.
why you are using #amandhattarwal in every video?😅(big fan of aman bhaiya i guess)
ah ha... it was an easter cookie, in case someone noticed. Well caught!
Mota bhai ki jai ho🎉🎉
Jai ho!!! Dhanyawaad!!!
@@savinderpuri happy to hear from u Mota bhai ,following the same devops path from your side which is exactly same in kodekloud platform and I will do my best ok
@@uniqueuser483 I need to take a look at kodecloud then 😊
You go tiger!!!
@@savinderpuri what u said the learning path I have seen before a year ago , you can see bhai it will be the best of all in my pov just go through it