Don’t Be An ML/AI Engineer If You’re Like This...
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- čas přidán 13. 06. 2024
- Considering a career in AI or Machine Learning Engineering? In this candid discussion, let’s break down the crucial aspects you need to consider before diving into the world of Software engineering, especially ML or AI engineering. From the misconceptions about the software engineering field to the intense competition in artificial intelligence and machine learning and rapid changes, let’s talk about what it takes to thrive as a Machine Learning or AI engineer. 🚀
#AIEngineer #MLEngineer #MachineLearningEngineer #SoftwareEngineering
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🎙️Other videos you might be interested in
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👉How to Become an AI Engineer (Without a Degree)
• How to Become an AI En...
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👉AI/ML Engineer path - The Harsh Truth
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I give advice for navigating your engineering career journey successfully.
⭐️About me
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Hi, I'm Jean, Founder of Exaltitude. I've been working in tech for the past 15 years as an engineer, an engineering manager, and a team builder. I was the 19th engineer at WhatsApp and worked with Facebook as an Engineering Manager for six years after the $19B acquisition. I'm excited to share the ins and outs of a Software Engineering career based on my experience as a hiring manager for top tech companies.
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Timestamp
0:00 Preview
0:18 Intro
1:26 Common advice
3:18 AI is really hard
4:22 Fierce competition
5:13 Burnout
5:58 Rapid change
7:00 Quick recap
7:16 The most important challenge
8:54 Reward of AI engineering
📌 FREE resources to Machine Learning/AI Research in the "Resource" section
www.exaltitude.io/job-seekers?
If you're able to land SWE gigs, join a company that does AI as a SWE and do a lateral into MLE and eventually research. It's what I did. This is the path with the least friction since junior roles are non-existent.
Even then it's extremely competitive. Prior to joining the company as a SWE I already did hobbyist ML research during college for about 2 years. Reading papers, implementing experiments from these papers, building things from scratch to feel how they work, etc...
Definitely not for anyone who hates math, and I'm not talking about the kind of math you may need for SWE or the basic linear algebra you may need for graphics programming, if you want to understand these papers it's much more than that.
Please help me out with this. I'm interested in becoming a machine learning engineer or mlops engineer and I'm a junior in my Bachelors in Computer Science right now, I'm good at Analysing data and creating algorithms like regression,decision tree etc all data science stuff. What you think is the right approach for me? I'm still looking for internships should i apply for swe intern or data science intern?
@@MukhilBaskaran imo, it's always better to hunt the internship that you actually want. But there's gonna be a time when you just have to get a job/internship and if you don't manage to land any ML related ones just go for a SWE.
@@MukhilBaskaran Stumbled upon this. Have you taken a look at algorithms that are neural network based and generative AI algorithms? It might help to browse recent ML research papers or white papers from companies working on AI (in a technical way) to have some insights.
As for what position to apply for, you might see something like "Software Engineer Internship (20xx) - Machine Learning," "Data Scientist Internship (20xx)," "SWE Internship (multiple tracks available)," "20xx internship - Computer Vision" (yes, there are some positions with specific fields instead of the general AI realm), etc. Still, many companies are reducing their headcounts right now, so you probably won't see many such positions within at least a short period of time. If you do see one, apply as soon as possible as many people are competing for the few still open positions, which makes employers close a position rather sooner.
Don't limit yourself, though. Companies sometimes look for ML engineers/data scientists whose expertise are in somehow unusual areas, such as compiler, embedded systems, infrastructure, tools, entertainment, etc.
Whatever you do, I hope you're more than a so called "parameter tuner" but have skills or willingness to go beyond that as there have been rather mature ML algorithm that can tune another ML algorithm's parameters...
Best wish.
I felt the same
@@MukhilBaskaran I’d say apply to all fields you’re interested in and see which you can land.
🎯 Key Takeaways for quick navigation:
00:00 🎯 *Should You Be an AI/ML Engineer?*
- Considerations before pursuing a career in AI/ML engineering.
01:20 🧮 *Math and Money in Software Engineering*
- Discusses the role of math in software engineering and the importance of financial stability.
03:05 💡 *AI Is Really Hard*
- Emphasizes the difficulty of AI engineering and the need to read research papers.
04:47 💼 *Fierce Competition*
- Highlights the competitiveness in the AI field and the challenges it brings.
05:15 ⏰ *Burnout and Work-Life Balance*
- Discusses the trade-off between high-paying jobs and work-life balance.
06:09 🔄 *Rapid Changes in AI*
- Describes the constant evolution and rapid changes in the AI field.
07:27 🚀 *Lack of Junior Roles*
- Addresses the scarcity of junior roles in AI engineering and the challenges of job hunting.
08:50 💰 *The Reward of Success*
- Highlights the potential rewards and opportunities in AI engineering for those who succeed.
Made with HARPA AI
Thanks for the summary!
Hey could you do a beginner video like what do software engineer do exactly as job?.... Which field masters is required for becoming SWE?.... What would be the most important subjects for the job, interview, coding, technical rounds??... What would be required skills to become SWE and some free resources to learn them...
Thank you😊❤
I will still try
how is it going?
Bro u alive?
Bro you dead
bro you ate?
I like the last word of this video. The most amazing reward of being an AI engineer is becoming a part of such a revolutionary technology.
Haha, I'm glad you liked the last word! It's amazing how being an engineer allows us to be at the forefront of tech!
Been doing PhD in medical image analysis using Deep Learning for a few years now. Yes, there is NO SHORTCUT to being good in AI. There’s tons of codes for Deep Learning model implementation, but for the one who’s not graduating from CS or Applied Math, the fundamental stuff for AI will stop you from understanding the core of AI. If you’re good in linear algebra, vector calculus, and Bayes statistics, then that’s a good start for you.
Thanks for sharing your experience!
As a Junior with just 1 YoE as SDE i finally cracked as a ML Engineer after 3 months of painful job hunt. My advice would be find startups as they won't require much prior experience and very easy to get an Interview call with them. That's the key getting a call and being on the table, and being able show case your skills.
What startups do you recommend from LinkedIn or any other websites
Congratulations 🎉where did you find your job? LinkedIn?
It's Brintey, *****! 😂😂😂
As a fellow Indian, PLEASE stop using the word "cracked" every fking where. It sounds so stupid.
I always feel like startups want someone experienced because they don’t have the time or resources to teach. What are your thoughts?
These tips were all awesome. There's an additional source of stress when working with ML/AI: you're handling probabilistic systems, and tail failure cases are difficult to predict even with a good evaluation pipeline and metrics. This uncertainty can bring a lot of stress when running ML/AI systems. Make sure you understand and accept that your system will fail for weird (or unexplainable) reasons, every now and then.
Moreover, you'll need to explain this probabilistic aspect to the management and other people; that things may fail or not meet expectations with no fault on your part.
Hey Jean, I’m Jean I’ve been keeping tabs on a your content for some time now and let me just say I’m in love with the information you provide as well as the outlook. I myself have been going from job to job ever since I left high school because I never wanted to go to college or anything like that to try and be successful in life. Little did I know it was going to be an eye opener as to why continued education is important, to cut to the chase I’m 25 now I make a decent living in healthcare but it’s not what I want to be doing for the rest of my life Ai will undoubtedly take over my field at some point. Instead of continuing along this path of going from job to job I feel it’ll be in my best interest to become a software engineer and most definitely for the money. I’m going to be going back to school for the spring semester for the first time ever while working a 9-5 and in the process learning how to code on my free time to try and intern and increase my overall chances of entering the field. I know at some point I’ll need a mentor and I’d be stoked if it could be you. I’m just at the start so I won’t give you some false promises I’ll work on my schooling and learn a few languages then I’ll aggressively make an attempt at trying to reach out in hopes you’ll take me on as a student. Till then best of skill and please keep pushing helpful content, the most helpful content for me right now would definitely where to start this adventure like a sort of roadmap for self learning on how to become a software engineer
Kudos to you for pursuing your goals! It's never too late to learn to code. I'm glad the videos have been helpful. Let me know if you have any questions or requests for future videos!
If you are beginner, you will need to spend 4 hours daily for 3 years at minimum to get your first machine learning job. It's very hard to get job in this space without real world experience. You will need to work on advanced projects to attract employers without years of experience. You might get hired to work with ML engineers but you will not work as ML engineer, maybe something like data analysis or writing SQL etc.
Bro can i contact you plz i really need to ask you questions
Can u give me insta id or anything and the monet i get it delete the comment
Yesss the last part is soo true😢
Sometimes reading papers about AI is pretty bizarre, you may come across an information but couldn't comprehend it. You just have to start with the fundamentals, step by step, don't hop into reading papers without any preparations. Just like XY problem
That's a good point. I can make a video about how to read research papers - will add to my todo list!
@@exaltitude that's a great idea ,that would definately helpfull for us if you make a video about it as early as possible.
Hi Jane! I got a great level of clarity watching this video. I have been a BA and Product Owner in the entirety of my career of 11 years and now working as a Consultant. I am very excited to drive myself into AI Consulting, and thought of getting into an AI Engineering learning program, but after watching this, I am not too sure, if that will be the right path for me. If you or anyone reading this comment, could help me on how to grow into AI Consultant role, that will be really helpful.
I've got this Deep Learning Course in the University and yeah I agree you will need a lot of hard work for learning math and all these concepts of AI and also implementing these to really understand. And it's definitely not possible with only a course. it needs at least one year to really learn and understand all of these concepts. At the End as a student you'll find out that it's better first to find a job in any other areas of computer science with maybe less effort and then just learn what you want and shift to another job if you can!
Thanks for sharing your experience! It sounds like a challenging but rewarding journey. Keep up the hard work!
most part of this video is utterly accurate, now looking back all these years of learning, it does include a lot of math but mostly it feels like approaching a new foreign language, especially the papers
i got into programming because i liked math. i work on deep learning projects as a phd student. if i stay in ML or not, its fine, i like statistics in general
Suitable
Hey Jean, its really nice of you to provide informative and realistic advice on how to start and how AI and ML engineering work path actually looks like. I was looking for this type of video for a while now when a person with experience actually share what you need to be on the top, like PhD degree. Besides, you show how to actually get there even if you dont have a PhD. I'm a female CS student from an Asian country, so you might have known that the chances for me to actually get there, to the high paid job is not really high like those popular youtube videos often portrayed, like how you only study for 3 months and get a job. I'm in love with the content of videos. And if I can personlly have advice from you, I'm currently doing my Computer Science Bachelor degree, while doing research projects as my major theme in college. I've already published one paper at an international conference, about Machine Learning generalization and privacy theory. I'm wondering if I wanna stop at Master degree and I dont get to do internships so often, are there any chances for me to launch a big job like AI engineer? Love you. And btw your eyebrows *rock* 👑
😅How come no one talks about the salary?
you should get a job after bachelors, and then you can see if a masters degree will help you in any way
@morpheusgates8664 I have 2 videos on salaries on this channel..?
Is there a reason why you can't do an internship?
Have you heard of the Grace Hopper Conference? They do international recruiting at the conference and many companies provide scholarships for students all over the world to attend the conference. I have a friend who was studying for her masters degree in Asia and got a job at Facebook through the conference in US.
Thank you! I am currently a SWE, just transitioned from Software QA. I am also taking grad school for ML/AI. I liked ML before this whole generative AI fiasco boom. I had been very curious about integrating AI into our lives and decision making, so I thought I'd take AI for curiousity in grad school. Lately I had been feeling demotivated with all the layoffs and I plan to sit down and start a business that would utilize AI, maybe after I graduate from school. ML/AI is so hard, but fun. Thank you for your message!
Georgia Tech?
You've won a follower! Thanks for your honesty and clarity, this has been really insightful. As a person who wants to transition from psychology to cognitive sciences, human-computer interaction, and maybe ML/IA field in the future, what scientific journals would you recommend? (I'm really into reading scientific journals, but my experience in it has been mostly in psychology research). Thanks in advance!
Thank You a lot! Jean, you've become a great inspiration for me! I love your content, it's remarkably useful and I am so grateful - words can't even express!
Thank you so much! I'm glad my videos have been inspiring and helpful for you.
This is really good, practical and sensible advice, thank you very much!!!! I just subscribed!
2:58 "money doesnt grow on trees" you're so right ... lol it grows at the FED!
Great video thanks for making! P.S. Background music was a bit too loud for the outro FYI
Good video, I know getting into AI is really hard but I am really interested in this field so I will do my best to get into the AI field. Right now I'm doing my undergraduate degree in computer science and then eventually I want to get my masters in AI and machine learning. It will not be an easy journey but I know that it will be worth it in the end, wish me luck...
Good Luck!
Best wishes!
Best of luck!
Amazing your perspective. Thank you 😉
Thank you for making this video, It reminds me that I do not like competitions in those high-paying jobs. I like my work-life balance. Not the constantly changing environment.
Sure 👍 it’s good to know what you want!
Thank you for being so honest, straight forward and direct. I wish all youtubers were like you.
Thank you for your comment! Thank you for watching!
Hi, this 's the first time I watch you video and I feel that it's very helpful. I have a question and I hope to receive your answer. I am a 4th year student at a university in Vietnam. I've been working as a Backend Engineer for 1 year. For a while, I work at my company in the morning and learn about AI in the evening when I go home. I find that AI is quite interesting but I also need to work as an backend engineer for living and I have to impove my backend skill too. Is there any position which do both backend and AI job out there? If there is, what can I do to be like that? I hope to receive your answer, it will help me a lot for my future. Thank you!
Hey @Exaltitude, I definitely agree with you that entering into the job market for AI engineer for a fresher is difficult. I have a question regarding the fact that you mentioned that if someone attends a school, he is already have had some months of experience in the field. I am working as an R&D senior engineer at an MNC (with 2.5 years of industry experience), do you think switching to career like AI engineer requires a master's degree in the field or someone can do the same via free resources available on the internet?
I was so suppried that you able to giving a lot advise to those youngest junior with your warn heart. Keep on going. Because this topic was very interested for me because I was missed become a programer last time
Thanks a bunch for your comment! I'm glad that you found the advice helpful.
Thank you very much for the previous answer, there is one more question. Maybe it will be useful for someone else too.
If I understood correctly, a ml engineer is mostly engaged in applying ml models to projects and then debugging them to achieve the best result.
Question - is it possible to do debugging without knowledge of math analysis and other mathematics?
To be even more specific, I took a famous course from Andrew Ng and it showed what is under the hood of libraries (all this math that is difficult to understand if you did not study in a higher education institution) is it necessary to know it to debug and in general to work as an ml engineer or just desirable?
Thanks in advance for the answer, the chat gpt asked this but there are given vague not direct answers.
If you can't be a AI/ML, it's hard to debug, so you'd need math. If you don't like math, why would you want to work in AI/ML to do something you hate every day? There are plenty of other engineering roles that don't use math at all.
Thank you for your insight and candid views regarding becoming an AL/ML engineer. It was an eye-opener for me. I consider myself lucky to have come across your channel. I wish I had known your channel before I had embarked on my AI learning journey.
Glad it was helpful!
Interesting points, appreciated the video, thanks ! Be careful at the end the music is louder than your voice making it hard to understand what you say :)
"Hey everyone! I just graduated high school and I'm torn between pursuing a BTech in Computer Science or BTech in AI and ML. I'm really interested in fields like AI, cybersecurity, and software engineering. Any suggestions on which one would be a better fit for me? Thanks in advance for your advice!"
I can agree with these disrupting tech being high risk high pay scenario. I want to know what I need to work on right now. I'm a sys admin and do analytics work with 6 yoe. I want to venture into dev/software engineering. Where should I start ?
As a 17 year old finishing high-school next year and is aspiring to become a software engineer or cybersecurity engineer I don't know what I'm really getting myself into. I'm planning to do computer science in University but i keep asking myself if things will according to plan or I'm just delusional thinking everything will go as planned and than I won't know what major to choose from. I'm not thinking of pursuing a computer science degree because it will enable me to pursue lucrative career paths, I'm taking it because to me it seems like the best option compared to degrees such as IT and Management information systems and I think CS is worth the struggle as it will open more career paths, please correct me if I'm wrong or delusional.
I guess I'm just afraid of choosing a easier career path and end up regret my decision and wondering if I could of done something more.
This video has cleared up all the misconceptions and gave me a hard reality check I'm going to have to accept and come to terms with
I have to ask, How did u find a career path fit for u ?
Hey there! It's totally normal to have doubts and questions about your career path. Don't worry, you're not alone in this journey. Computer science is a fantastic field with tons of potential. I'll make more videos about finding your passion and path!
@@exaltitude thank u so much
I'm looking forward to those videos
I appreciate you pointing out money is a valid reason to be in computer science.
The people who are like "money isn't worth it" don't seem to understand food/shelter is a need that is not guaranteed.
"dont do it for the money"
should be...
"dont do it ONLY for the money"
you have to be interested and good at it
Hey Jean! I want to travel but I'm willing to work hours. I've been programming for years, and I'm studying in college with my major in CS. My goal is to be well off and be able to travel the world, while working. Would this be a job I can do this with? If not, what job?
This is really helpful!! Thank you so much :)
Hi... those "really hard papers" - is there a good list of papers to read? "Attention Is All You Need" [Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin; 2017] is of course famous. But what are the significant ones between about 1994 (last time I read a ANN paper!) and now?
I put a link in the description to resources where you can find research papers
Hard, cold facts. My type of content
I'm very interested in AI but not a maths person haha. What do you think can i get into AI product management?
Hello! Where is the best place to find A.I. research papers, or is it just a google search to find the majority?
I've added a new "Resource" section on my website where you can find links to Machine Learning/AI Research
www.exaltitude.io/job-seekers?
A very eyes opening video. not only this is true for AI, but its true for some field of Cybersecurity. Pentester, Red Team come to mind.
nice video , and result is that this is not my thing i would look more into using AI rather than being on the other end of making it.
need more topics on this field
This is a really well informed video Jean 🙌!
Glad it was helpful! Let me know if you have any questions or suggestions for future videos
I'm just an old manufacturing engineer trying to learn about the world of AI development simply for the sake of acquiring an additional skill
You gives me the motivation that I need, thanks you
You can do it!
Can somebody please suggest a good online course or bootcamp for learning AI?. Not looking something basic since I already have some SDE experience.
thank you so much 💖💖 you really helped me with choosing my specialty, I was confused between AI and software engineering. Now I am confident that I will choose software engineering
I’m glad you have more clarity about your specialty! Let me know if you have any questions or suggestions for future videos
Could you explain me how complicated and valuable doing open source projects related to DL , Although I have a good grasp at core concepts , open source AI projects seems so conceptually deep. I'm a 2nd year BTech . AI and Data Science student.
Hey im 15 and soon will be choosing streams for my career, i planned that i will go for Artificial intelligence in future since they are in demand, pays well and i want a stable career, this video helped me and i still wish to go in this field :)
I’m glad you have more clarity about your career path! Let me know if you have any questions or suggestions for future videos
I did physics, OS programming and graphics programming. Now I'm doing core ML. It's 10 times more demanding and competitive.
OS and ML are some of the hardest classes in CS programs. It makes sense that they are demanding and competitive
What’s OS?
Linear algebra, probability, Bayes, and calculus are a must. However, realistically, at least functional analysis at the Kreyszig level, and measure theory at the Capinski level. It is a bare minimum. Besides, instead of chasing a rabbit, the better option is to create your own AI app/solution.
Building your own app is a great option!
how do you think it is worth going into the ml sphere if I am interested in using ai for some interesting projects, but I am not very interested in delving into all the nuances of ai work? only the necessary knowledge to launch projects.
Just learn the part that’s needed for the project. I talked about project based learning in this video czcams.com/video/_Sk0W7c78NE/video.htmlsi=JhJCII3g3lu5LDci
Hi Sis ! Thank you very much !❤
This was really informative and probably what I needed to hear! Thank you!
Glad it was helpful!
Oh i Like you for keeping it real. Thanks
I really appreciate your honesty and kindness! Nice vid:).
Thank you for watching and leaving a lovely comment!
Thanks for your honesty. Money is my motivation
Thanks for keeping it real!
I want to be this Ai engineer my main goal is this initially looking for the role of a data scientist and then gradually shifting towards Ai it is really tough and yes there are competition but just because i want to be a part of the Ai revolution that will change everything motivates me to go through just because it is tough and competitive ill be not leaving it
That's great! Pursuing a career in AI engineering is definitely challenging, but the opportunities in this field are endless. Keep pushing forward!
I would suggest the initial role being data analyst unless you are graduating with a masters. Otherwise it is extremely difficult to get a data science job. But if you can do it without then good on you
Have fun being laid off. A lot AI jobs dont make money
@@stevechrollo8074 is that coming from personal experience?
@@exaltitude in FAANG, our research scientists and ai engineers were all laid off. They weren’t bringing in revenue, only expected to get value after 5 years
Just build stuff and understand the core concepts + stay up-to-date (but by this point, if you understood the important stuff, it means that you are curious by nature and will stay up-to-date by default). If you are driven enough, you will make it work.
Big big big value video.
Im 4rth year biomedical engineer at UBC.. but been doing 2 years of Internship before I finish the bachelor.
My current Internship is AI Computer-Vision Applications for Remote-Sensing Space Tech. My first ever Research/AI 'Engineer' experience.
In the beginning, I loved it all, and heavily considered shifting masters to this field. But after 8 months I got burnt out, and didn't know if research was my forte. But after a while, I started to actually enjoy reading papers more often, and after watching this video, I was reminded of why I applied for this job.
Thank you for this valuable content. I would like to follow along as a subscriber and learn more from you.
I think it’s natural to have ups and downs in your interests and your career. It’s great you’re paying attention to yourself and your interests. Keep up the great work and thanks for watching!
Sir please provide link of some video to know about biomedical engineering....I am heavily interested 🙏
great content thanks a million times
The only thing that's changed since the gold rush is the tools. Best to get used to that fact right now.
I am doing my bachelors in btech hons in ai/ml what advice you would give if I want to peruse software engineering?
Take risks! Embrace learning! I made a video about that - 7 Tips To Get Ahead of 99% of Software Engineers In Your 20’s czcams.com/video/Jg79Cpxp9FQ/video.html
Is there a way to talk to you directly? I just finished a course in physics and electronics. But I want to go into tech. I had my eyes on AI, but I saw one of your videos and I'm not quite sure anymore. What are some tech skills I can pick up and get started on immediately from entry level? I don't want to do something that isn't "lucrative". Or rather, something that'd give me a tough time landing my first job. So, I need advice. Please
I want to have my cake and eat it too.
Could You give few reasons for not be a Quantum Computer Engineer? -> ans. dive in the research papers.
@exaltitude I am so confused that' i don't love to code but i extremely love mathematics so is ai is for me. Can i use ai tools like chatgpt for code generation in this Field task? Please Help me in that.
Do you know enough coding to use ai tools to code? I explained here - Did AI Just Really Take Our Software Engineering Jobs? (Or Not?)
czcams.com/video/oP7qtbA8MsI/video.html
What sort of roles do you recommend entry level cs students take before going into Machine Learning? Would Data Analysts or Business Intelligence Developers be a good?
A good roadmap: Data engineer > ML engineer (basic ML models) > AI engineer (NLP-LLM > Computer Vision). AI needs more software dev skills than analytics skills
MatLAB
What about in terms of applications? Right now I'm following along the Data Engineer roadmap but does the role itself hire entry level applicants or do they want experience like the Machine Learning roles?
IMO, the best job/role to take is the one you can land.
I started learning some basics but Inam just discouraged. Completely doubting myself in a world of people younger and more adept than me. I feel like I would be wasting the next few years if I tried. Idk what to do
Don't let comparison with others discourage you! Everyone has their own unique journey and learning pace. Age is only a number
If you are very good at coding you can do almost any job that's my own belief. The maths in manchine learning is not necessary for you to know it ,100% just have an idea of how it works then you are good to go
I've been a NodeJS developer for 6+ years with a decent amount of various AWS services, Docker and generally some of the "devops" stuff. Basically a backend developer by today's standards. Now, I'm kinda searching for the next thing to learn in my spare time.
I'm considering:
1) Frontend (though I kinda hate it, even though I'm a JS developer),
2) Golang (already know the basics, but maybe learning some frameworks and stuff), OR
3) Python and trying to get into ML/AI
What do you think makes most sense and why?
What do you actually want to learn and why? I wouldn’t force myself to learn something I hate - it’s not productive or competitive long term
@@exaltitude I kinda want all three of them. Golang, so I can make super-scalable backend apps; Python and ML/AI because it sounds fun as hell; Frontend, so I can be a full-full-full stack developer and make projects completely on my own.
So you see how torn I am right now :D
So you’re not looking for a job and purely for self learning? Then you can learn all three, but it works better if you focus on one at a time. Just choose which one to start with, don't spend too much time deciding; pick one and start learning to get started quickly.
Another idea is to start taking a class in all three and finish the one you find most interesting
You made greatponts and some ae chalnging but I am thankful for videos like this sharing honesty, so thanks and if you like it keep doing things like that
Hey, thanks a bunch for the comment! I appreciate your support!
Advice on whether to get a M.S. in AI or an M.S. in ML? The courses have a LOT of overlap.
What are the difference?
Great YT.. it would fun if you and TechLead did a show together !
thank u for your sharing
Interesting. Job market has changed so much... I am happy to enjoy life with the money already acquired. Unfortunately the AI hype will not last too long as AIs will not need anymore AI engineers to be built. It will generate itself. Interesting to see how we can saw the branch we are sitting on.
Reason 6: its boring to do the data transformation work which makes up a big portion of the job.
What about Devin will it change the algorithm of software engineers?
I shared my thoughts about Devin in the newest video - Did AI Just Really Take Our Software Engineering Jobs? (Or Not?)
czcams.com/video/oP7qtbA8MsI/video.html
Hello i have wanted your advice currently i am a 3rd year cse student and learning ai on my own,, i have learned machine learning conepts like regression and classifcation, and have started learning about deep learning models like ann, cnn, rnn, lstm the thing is i am confused like how to go for a job in this field as i learn from youtube mostly i dont know what in particular is required in the industry.. Can you tell what should i do next to be ready for job in ai
Hey there! It's awesome that you're learning AI on your own. The most important thing for a CS student is to do internships. Have you done any? If you're in 3rd year, it would help to have one now and another in the summer
@@exaltitude I have not done till now but gonna try for next month,, currently I am doing research work under a professor for cnn-lstm hybrid model. Thank you
@@Aditya-kr9gs working at school is a good stepping stone to finding an internship. Sounds like you’re on a good track!
Thanks for the advice.
One tip, the background music at the end is too loud.
Thanks for watching to the end 🙏
Don’t get scared friends… yes it’s competitive but it’s also daily expanding. Be positive friends.
A big problem for the industry is how poorly companies manage mentoring new people. It is really quite interesting how smart everyone is, and yet the companies fail to consider people as systems working together, so the incentives end up essentially pitting people against each other which cuts productivity way down in the long run. Big opportunity for more forward thinking senior engineers and managers.
This video cannot be more on point!! Also those who say to navigate ML without needing math is joking with themselves..
I have a bachelors in psychology with a specialization in neurobiological and cognitive and a minor in data science. Im thinking about doing a masters in ai. Would i stand any chance against people with for example a bachelor in cs
It would depend on many factors like where you get your MS and what kind of internships you get and how you interview.
I've wanted to learn AI for years, didn't know it was trending but based off what you said I feel like I shouldn't. I have looked up AI jobs and they are not abundant at all. I don't want to work in a field that do not have any jobs. I don't want to lose my job and be stuck looking for a role because it's over saturated.
What do you do now? What other job would you choose that is risk free in the future?
Just subscribed 🎉
What if I wanna get a degree but my heart isn’t set on getting an ai job
Is it true that the vast majority of your time as a machine learning engineer is spent cleansing and generally manipulating data with SQL rather than actually using algorithms etc. for machine learning?
Yes.
Hi! I'm going to pursue Masters in AI next year, right after my ug in CSE. I realize that the market is very saturated right now. Any tips for me to work on in the next 2 years so that I would have a better shot at job hunting by the time I finish my masters?
Your best bet is to work on internships to gain real life experience! Have you done any internships?
@@exaltitude I have only done research internships and lots of projects related to AI/ML/DL but no professional internships yet.
Please don’t get a masters without experience. You are going to regret this unless you are wanting to be a researcher and don’t care about the industry
I went to grad school with 6 months of full time experience and I agree with the person above. Please don’t get into masters without any work experience I’ve struggled so damn hard lol
@@Tetrax if you don't mind me asking, could you tell me more about your experience? did you finish your masters and still didn't find a job? i'm all set to pursue my masters and this is scaring me tbh.
should I chose data science
and no job security
If you want to get into the AI engineeering, you need to face challange, you need to make sture you ready to read lots of lituratures, and competite with other PHDs, it carys the risk of burnout, and it constantly changing, the AI jobs are lack of junior roles
Nice vodeo! Don't jump into AI just because it's trendy line hit me hard. True. Sometimes we blindly run behind the trend and not mastering what we are good at. As you mentioned yo get a job in Software Engineering seems easy than AI engineer. Btwn Software development is fun.
AI can actually read all the research papers for you.
As well as do most of the things in your list for you.
So… I dunno. Maybe this was good advice before AI.
I think the best way to get junior experience/pseudo internship is the self-employed freelancer route, esp if you're older and don't have access to networks in the industry. I see it as my informal "internship". Worst case by end of2024 I will have 2 years of experience working with different clients (I have 2 so far) with various recommendations, while I self learn the key skills that are still gaps on my resume (mainly frontend and some ML concepts). Building my network and attending events and hackathons.
Personally I think mass applying is time that could have been spent building apps and networking and reading papers. I've found all my clients via networking.
I agree! I talked about contracting as a way to replace internship in my previous video. Self-employment as a freelancer can definitely provide great experience and help you build your network.
@@exaltitude On that note of networking...I just sent a connection request on LinkedIn. May be looking for mentorship via your platform in a few months. Would like to connect if possible
Ok! will look out for the invite!
Dope
How and where do you find clients? what kind of work have you done for them?
Appreciate your honesty 😉, thanks for sharing 🤗!
Any tips on where to find good research papers to read/what to search?
Yes there is a link to research paper resources in the video description
@@exaltitudeAh thank you, guess my reading isn't off to a great start 😁
I can see a lot of these newbies lured into getting into A.I Machine Learning and not understand what they are getting their selfs into or understand concepts. Same thing with DevOps and Cloud roles. I've seen people go straight to Cloud Certifications without knowing the fundamentals esp Linux, Programming, Scripting, Networking, Security and Automation. It's a hot mess once people face reality of who they are going up against. A lot the Cloud Infrastructure roles are often filled by seasoned System Administrators and Networking professionals with over 20+ years of experience due to a lot of overlap in skill sets. I work as a Red Hat Linux Admin which is often a stepping stone into those roles.