Future Proof Your Tech Career In the Age of AI

[@TravisMedia]

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[@_ash64]

"You may disagree with it, that's fine. You always have the right to be wrong." 🗿🗿🗿🗿

[@vikramkaushik2251]

i heard that and scrolled straight to comments 😂

[@tylerharvey9154]

As a cs major currently this is why im going into computer networking and maintaining systems as the create them

[@peterimade003]

Why are the comments here so Negative, for such good advise.

[@mixmax6027]

How about making youtube videos selling my guesses on what others should be doing?

[@aceincase]

lol

[@unsivilaudio]

got'm lol

[@savingday]

Why not if it's helpful to others

[@silent7152]

Ok im going that path

[@ABC-op2nz]

Lmao

[@DK-ox7ze]

Wow. I recently joined Azure AI team, and was wondering if I should move to core AI, but I believe what you said makes sense.

[@enriquebruzual1702]

Solid advice, I already started to build my own AI SaaS, and the more you understand the limitations the better you will be. Although not necessarily I suggest reading "Natural Language Processing in Python" by Steven Bird, Ewan Klein & Edward Loper

[@AbdulMajeed-lf5sq]

Very nice talk, I agree that today the bare minimum for AI Software Engineers is to develop apps and be able to integrate AI solutions into them using tools like Langchain and Azure OpenAI

[@MmoPsychology]

Check out roli instead of LangChain.

[@faturismee]

@@MmoPsychology what is roli ?

[@redzanurrahman7649]

As I said earlier in one of your other videos, you are brilliant!

[@usamahussain4461]

"Be a generalist in the fundamentals and then a master in one future-proof skills". What fundamentals should I know at all costs if I am to work in an organization that uses Langchain, LangGraph, RAG methodology, AI Agents etc.?

[@lobiqpidol818]

That's right software boys. Know your place don't step on my model making turf!!

[@ayoitskryptic]

haha 😂

[@laulaja-7186]

Like keeping a notes file about "interesting problems" that cross your mind - and what you think you might be able to do about them?

[@Dembe-v6i]

eish this one hit so hard. im 39 working in a boring job and no clue yet what im gonna do as my fall back but this video gave me insight

[@AL-zl9ew]

Great video, but why so focused on Azure while AWS Stack for ML is much more mature and robust? AWS has several certifications for ML, like AI Associate or ML Specialty. Also, considering vast majority of clients is already on AWS, I really think people should focus there as it just simply much bigger market.

[@TravisMedia]

I agree. No preference for Azure; just was an example.

[@RobHortn]

When I was first getting into development, I had a mentor tell me "Don't get caught up in the tools." Sure AWS might be the thing now but the concepts stand the test of time moreso than the tools used for them. Agree with your thoughts on AWS but just offering advice that was once given to me as food for thought.

[@xkaiokenx10]

@@RobHortnagree with your take since the skills are transferable. Although op is correct when it comes to market share, in the past year Azure has seen faster growth in adoption compared to AWS likely due to Microsoft’s foresight in the AI game. AWS still has a larger market share, but Azure and GCP to an extent still have sizable audiences and have the potential to match or overtake AWS eventually so it almost doesn’t matter much which you learn first. You can always learn them all if you really wanted to

[@Goodmedalist]

I'm at a international hospital group. Microsoft is our technology partner. Azure and DevOps still more affordable than the other clouds, but I find thier services are made less complicated, and easier to adopt and use out of the box.

[@saradav8160]

How and what you recommend developing these skills for a product manager

[@vooxo]

Literacy, for example. That will help you learn to put the question mark (?) at the end of your question, and other awesome stuff.

[@KevinO-h7m]

Man that first project show up in the sponsor video, is better what i've been doing in last week. Unbelieavable technology advances this far.

[@zakariaelhalbi2081]

i love you and you are such a motivation to me sir, from Morocco.

[@sajithjames4692]

Isn't infrastructure more geared towards data engineering?

[@HoopsRaccoon]

No, I’d say more devops. I work at a research lab, Al then people who are data scientist all have masters.

[@GTFO73]

What about if I do want to do model development?

[@pfalzFinest]

What label should people who want to work in AI application development use? If you know Langchain/RAG/prompt engineering/etc should you call yourself an ML/AI Engineer? That seems confusing because it's the same title a lot of PHDs developing new models would use. It's easier on the infria side since you can call yourself "MLOps" but I have no idea what to call the AI application skills since it's different from both a typical software developer and a true ML/AI scientist.

[@sadephillips9645]

Do you have the same AI Operations Certification path for both Google and AWS?

[@TravisMedia]

AWS has its equivalents - www.aboutamazon.com/news/aws/aws-certifications-generative-ai-machine-learning-cloud-jobs I'll let someone else recommend GCP because I don't have as much experience with them as I do with the other two.

[@sadephillips9645]

@@TravisMedia Thank you so much for the link. I have my AWS Cloud Practitioner Certification so this could be a great starting point.

[@gdr189]

Fine-tuning models is a far far less demanding process, and science is showing that noteworthy benefits can be gained from it.

[@rahulnaidu341]

What about data engineer?

[@AbdulrahimInuhuo]

I would like to break into tech especially cybersecurity. Please where do I start from Sir.

[@faturismee]

hi! how's its going? im also interested in cybersecurity

[@AlanJonesBurga]

Loe your videos, super super great rellevant info to start doing now, thank you!!!

[@jagatkrishna1543]

Thanks ❤

[@jedi4049]

Thanks for the advice

[@adesultan]

Based on what you said, what language should i pick as my first one?

[@aliengod2039]

English? 🤔

[@Pdfnaega]

@@aliengod2039 lol

[@asepbahn3113]

I'm currently learning golang, I want to become golang backend developer in my country because it's in demand in my country. are backend engineer is still worth it? (sorry if my neglish is bad)

[@BeepBoop2221]

@@asepbahn3113 that's something you need to research.

[@genericdeveloper3966]

You said for yourself there is demand. So...

[@abiodun6897]

brilliant advice sir

[@alistairrwillis]

IT training company recommends you do some IT training.

[@Nimitz_oceo]

If I hear one more KZbiner mention brilliant! I’m gonna scream!

[@dontmindmejustwatching]

Thank you

[@engsiyad]

Very usefull. I have watched it twice.

[@anipacify1163]

Hey man thank you so much ! Your prolly the only youtuber that's put out such a video . 😊

[@technicalboy1816]

They said that it was here twice in the past already.

[@YannMetalhead]

Good tips.

[@jamessullenriot]

Or, the best way to future proof is to create a KZbin channel where you give generic advice that every other KZbinr is giving. I'm not even saying this to be negative. The reality of social media (including KZbin) is that there are no original ideas and copying + being repetitive is the way to go.

[@TravisMedia]

Perhaps the unending search for original ideas are the problem. The everyday generic answers are right there for the taking, yet we don’t want to do the work.

[@peterimade003]

This is just stupid, how is this generic advise? Grow up kid...

[@hfediting9322]

Anyone simplify?

[@johnycache]

What is your definition of 'AI'?

[@visceralcinema]

Great Video. I'm going the route of Platform Engineering. And yes, I'm already stacking the certs and applying said knowledge with gigs and/or hands-on tutorials, etc. Regarding learning stats, etc., you should at least learn the basics like "regression" & "k-values", etc. I know the big (three) cloud providers with their (Ai) certification track(s) require this survey course knowledge. I would dare say you should also learn Bayesian statistics too, but again, just through following tutorials, etc.

[@prabhic]

Thanks you great clarity

[@AbdulrahimInuhuo]

Please Sir i would like to break into cybersecurity, but i don't have any prior knowledge. Please is there any step by step guide on what to learn at a time until i become an expert. Please what do you advice i do sir. Thanks

[@Mozescodes]

"Quiting programming and become a plumber"? What is wrong in being a plumber? There is a HUGE shortage in that industry and pays well.

[@TravisMedia]

Nothing at all wrong with it

[@Pdfnaega]

yeah 10-15 years max, then robots with no emotion will take place for blue collar jobs . ps- its already happening btw check the industries

[@aymanbentouhami205]

brilliant.

[@prabinlamsal74]

Completely disagree. I am a firm believer that having great problem solving skills, and programming fundamentals (design patterns, coding ability, deep language knowledge , great systems knowledge ) is always going to be the most important asset to have. Rather than learning the trending technologies. If AI learns how to write salable, maintainable , not done before code , then , I don't think it will have any kind of problem implementing lang-chain etc itself. (just implementing basic api lol) Primeagen should react to this video. : )

[@TravisMedia]

The fundamentals of programming is what I’ve been pushing video after video (including a mention again in this video 8:40 ish). Adding AI knowledge to that is a wise move. Ignoring it is not.

[@_Lumiere_]

Ay that's me

[@TheLummen.]

Prompt Engineering is not a job !

[@TravisMedia]

Did I mention prompt engineering?

[@TheLummen.]

​@@TravisMedia Do you disagree ? What was shown on the screen. 2:25, Article, Application development, Prompt Engineering. There are many young people who think that prompt engineering is a true job ! Due to the hype of AI many are inflating what prompt engineering is. Some have gone to the point claiming that the next Computer Scientists are prompt engineers. Which is insanity.

[@ABC-op2nz]

I always felt it's a subset for Software developers

[@cirtey29]

Cloud has no future. Companies are now doing the math and starting to rotate to en premise servers. For costs, privacy and security.

[@faturismee]

wdym?

[@BeepBoop2221]

You can also wait for the AI bubble to crash.

[@tonnytrumpet734]

Even if it does burst it will come back in few years, genie is out, it already proved itself useful and able to generate revenue

[@BeepBoop2221]

@tonnytrumpet734 no it hasn't that's why the bubble is likely to burst.

[@tonnytrumpet734]

@@BeepBoop2221 Huh ? The OpenAI has annualized revenue of 3.4billion dollars :D

[@charleslamb5810]

How has it not proven itself useful? Please explain? If I can write code 10 times faster and my colleagues feel the same way, and I even know a drug dealer that forged a letter from an attorney that worked, it baffles me that you come to this conclusion. I am guessing that you are saying this because you do not likes its shortcomings and lack of 100% accuracy. In any case can you please elaborate or na? ​@BeepBoop2221

[@BeepBoop2221]

@tonnytrumpet734 What us their profit vs their current revenues?

[@KevinO-h7m]

Good video mate. Thumbs up + subscribe

[@kostik]

pragmatic programmer

[@twogoneglogs2650]

I dont like you. But i subed anyway becsuse u got good points

[@AbhishekVerma-fn5us]

Successful wasted my 10 minutes

[@ZeroDayPrince]

Aww you reported my comment for bullying lmao what a woman

[@TravisMedia]

I’ve reported nothing. All comments are welcome here (except blatant spam usually finance related).