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.
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.
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.
If someone loves learning proof-based mathematics (i.e. real analysis and beyond), doesn't mind coding, and enjoys solving really deep, mind-breakingly difficult technical problems, do you think they stand to become competitive in AI/ML engineering or research?
🎯 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
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😊❤
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.
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 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
When you say you work on deep learning projects, do you create novel deep learning models or are you implimenting preexisting models in novel applications?
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
@@rejoicingnow There are many sources, I read some my lectureres gave me, IEEE, google scholars, and stuff. I ahven't explored much though. There are many publications.
Your advise on reading research papers was such a fundamental focus. I spend hours weekly reading white papers on what has already been achieved in the field. - current AI/ML Engineer for an IBM conpany
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!
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.
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...
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.
@@avisehgal6178currently working as a safety consultant. Providing safety advice regarding the local laws to chemical companies. It is an office job. It took me a while to find it, I was working in a supermarket for a year😂. I even considered to become a chemistry teacher(they did not want me). Approach job hunting agency(applying for 🚊 rails maintenance jobs, or as a salesman that sells valves). All of them are asking me a question, do you want to work long term here? I was being honest and said I didn’t know. And none of them took me in 😂😂😂. I am glad they didn’t, otherwise I couldn’t find my current job, which requires my chemical engineering knowledge, but not to an extent that I really exhaust from it.
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!
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.
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.
Would spending several years working in a specific domain (i.e. bioinformatics or computational biology) in which you're using and/or buidling AI/ML tools for that specific domain in an academic environment (i.e. a PhD project) be sufficient? I ask because I'm starting a thesis masters in Bioengineering in which I'll be working in a lab that specilizes in making AI tools for immunological applications, followed by a PhD in applied math (I hope); would that be enough of a pedigree to get into this field? I love mathematics and need money, so AI/ML engineering seems like the best way to hit both at once.
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 :)
2:43 totally agree with this. I also stepped over from beeing a paver to IT for the money and later on loved it and stayed in this business because I like it. Also was way less intense on my body and alot more freedom depending on the company ofcourse. I'm happily working for 8 years in IT now and at the moment as a SWE.
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 totally agree with that! I remember of the firsts papers I had to read, It seemed I was reading an alien's language. Nevetheless, I noticed that after several weeks of exposing my self to such a "language", even tough I understood a 5% of what it was written at the beginning, my mind eventually got used to subconsciously!
Am an electrical engineering student about to specialize but confused between Computer and Automation Control Engineering, Electrical Power and Machinery Engineering, your concept will help so much
@exaltitude i haven't been satisfied with their views as it was that computers and technology are the future, but at the same time, electrical power engineering is another interesting field. I was excited to take a view from a person who knows about the market of technology, and that was when i came across your video
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 think another point is: *working to your strengths.* I was in a PharmD and some of the students could pass classes and work with patients but talking to them, they just didn't get it at a fundamental level. Even some of the doctors I shadowed. I'd ask them about demographics impacting med doses, different clearance methods, etc. Nothing.
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.
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 :)
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
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
@@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
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!
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.
Becoming AI engineering is challenging but the payoff is really good, it is so excited when you have a chance to join a circle to change the rules of game and make your idea become reality in this world, and the most excited point is to proof that impossible thing actually is a possible, just only the mindset is “you want or not”!
I start back school for undergrad CS next month. I’m looking to become an ai engineer, computer & information systems manager or game development since I love the gaming world
A lot of people on TH-cam talk about job opportunities when talking about a particular engineering field but I couldn't care less I just like the field and I will learn whatever I want to learn 🎉❤
I shared my thoughts about Devin in the newest video - Did AI Just Really Take Our Software Engineering Jobs? (Or Not?) th-cam.com/video/oP7qtbA8MsI/w-d-xo.html
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.
There is a model I want to invent so badly that why I started machine learning it not about money of acquiring Qualification but to make a certain Model that will help many people
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.
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?
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* 👑
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.
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
I'm a first-year computer science student feeling uncertain about my next steps. Despite completing my first year, I only have basic knowledge of TypeScript, C, data structures, PHP, and databases. My true interests lie in AI/ML, mobile app development, and web development. I'm torn between: 1. Web development (seems necessary for every programmer) 2. AI/ML (my passion) 3. Mobile app development (also interested) 4. Data Structures and Algorithms (important foundation) Choosing the right programming languages for each field is also overwhelming. Please guide me on what to focus on for the next two years and suggest suitable languages to learn.
Here is a video that may be helpful. I explained the best languages for various paths and my experience with them. th-cam.com/video/nwjZ_7Ll3ko/w-d-xo.html I'll add to make queue to make a future video to address more of your questions. Stay tuned!
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?
@@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.
I am pretty old to start out on AI but have been full stack for quite some time and wish to switch at some point. But the older I get the more obvious it becomes a stark reminder - there's the top level leader and the rest who he pays to work under him. The higher the level, the more social skills are gonna come in handy. But hey, we live the often never thought of, net negative, claustrophobic cycle of chaos called 'life' and if you're not vegan, you add to the evil lol. Jokes aside, everything organic has a time limit, so all I can say is, live content until the end. Striving too hard to achieve something you don't desire after all, is just more pain imho. Imagining us working so hard for a time in the future where work is purely an AI thing and humans would be just fine having fun at all times. Currency will hold no value.
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!
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!
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
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?
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 th-cam.com/video/_Sk0W7c78NE/w-d-xo.htmlsi=JhJCII3g3lu5LDci
People developing AI/ML models usually have backgrounds in machine learning, data science, or research. Those building the pipelines for model implementation often come from data engineering or ops, focusing on integrating models into production and managing data flow.
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.
Hello, i came from a non STEM degree. Right now ive made a huge milestone by completing calculus and also statistics and python basics, though it was all self learning and i dont have formal qualifications, do you think its possible to break through the industry by aiming low end programming jobs then work my way up? Or a degree is strictly needed? Thanks!
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.
"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!"
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!
Hello! I'm a 17-year-old Brazilian high schooler and I want a peaceful life in a cabin with my family in the nature. I'd love to go to Liechtenstein and work remotely in a not so demanding job with high income in which I'd be able to raise and educate my children with my wife by ourselves. Do you have any jobs or tips in mind for me to be able to achieve that? Thank you! AI Engineering seems really interesting and I love the field, but it scares me currently for being an overly demanding job with a harsh job market.
Surprising that you’re thinking that far ahead. I’m also 17 and in high-school and my only advice is to just code🤷🏽♂️. You shouldn’t be worried about a job or a wife just yet. Otherwise, there are some nice videos up on the channel that might help you out👍🏽
@@exaltitudeI don't already have a wife nor children, but for me it makes no sense not to prepare for the time they are supposed to enter my life the best way possible immediately. I don't have any previsions for when but I want to be the most virtuous and provident father I can when it does happen. Anyways, now I'm in my summer vacation and next year I'll be going to my final year of high school in which I plan on professionalizing myself so I can already work in 2025. That at the same time I learn German having already learnt English and researching on ways for me to move to Liechtenstein as for me it's the best country for me to have a family in.
@@exaltitude I have found a few factual mistakes in the responses to my questions but overall I am very impressed. Especially when it comes to writing working code. The future is going to be interesting. I had a recent epiphany that the future of entertainment will be customized to every individual's desires. Imagine a movie generated just for you and where you can actively interact with the characters. The possibilities are endless. The distinction between reality and the matrix is going to become blurry
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!
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
this may be very dumb, but is there a particular place to read research papers...... like is there once single site of access or is it all over the internet kinda thing
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!
📌 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.
I felt the same
@@MukhilBaskaran I’d say apply to all fields you’re interested in and see which you can land.
Hi.. I am a computer engineering student. I took AI/ML as honors subject. How much math do I need to know or have knowledge of?
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!
@@exaltitude why it sounded like an AI generated text :)
@@captaintoadli813 it surely is
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
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!
If someone loves learning proof-based mathematics (i.e. real analysis and beyond), doesn't mind coding, and enjoys solving really deep, mind-breakingly difficult technical problems, do you think they stand to become competitive in AI/ML engineering or research?
I Want to do this Kind of PhD too. Do you think it is worth it for Landing a job ?
Could you give me some examples of other roles out there that DL/Ai engineers do
🎯 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😊❤
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.
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 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
When you say you work on deep learning projects, do you create novel deep learning models or are you implimenting preexisting models in novel applications?
I will still try
how is it going?
Bro u alive?
Bro you dead
bro you ate?
Don’t give up.
2:58 "money doesnt grow on trees" you're so right ... lol it grows at the FED!
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.
where to read those brother?
@@rejoicingnow There are many sources, I read some my lectureres gave me, IEEE, google scholars, and stuff. I ahven't explored much though. There are many publications.
Your advise on reading research papers was such a fundamental focus. I spend hours weekly reading white papers on what has already been achieved in the field. - current AI/ML Engineer for an IBM conpany
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?
What were the specific layoffs, I'm considering A.I but people don't seem optimistic about it for obvious reasons
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?
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!
Hey , mine dream is the same!!
Which college bro ??
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!
What are you upto now then?? Is there anything you're currently pursuing?
@@avisehgal6178currently working as a safety consultant. Providing safety advice regarding the local laws to chemical companies. It is an office job. It took me a while to find it, I was working in a supermarket for a year😂. I even considered to become a chemistry teacher(they did not want me). Approach job hunting agency(applying for 🚊 rails maintenance jobs, or as a salesman that sells valves). All of them are asking me a question, do you want to work long term here? I was being honest and said I didn’t know. And none of them took me in 😂😂😂. I am glad they didn’t, otherwise I couldn’t find my current job, which requires my chemical engineering knowledge, but not to an extent that I really exhaust from it.
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!
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!
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😢
Would spending several years working in a specific domain (i.e. bioinformatics or computational biology) in which you're using and/or buidling AI/ML tools for that specific domain in an academic environment (i.e. a PhD project) be sufficient? I ask because I'm starting a thesis masters in Bioengineering in which I'll be working in a lab that specilizes in making AI tools for immunological applications, followed by a PhD in applied math (I hope); would that be enough of a pedigree to get into this field? I love mathematics and need money, so AI/ML engineering seems like the best way to hit both at once.
I think yes. Just try @@sirnonapplicable
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
2:43 totally agree with this. I also stepped over from beeing a paver to IT for the money and later on loved it and stayed in this business because I like it. Also was way less intense on my body and alot more freedom depending on the company ofcourse. I'm happily working for 8 years in IT now and at the moment as a SWE.
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?
I'm thinking about it
Data engineer with analytics
My degree is in physics
So your comment encourages.
@@RiRi-ku6xzOperating System
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 totally agree with that! I remember of the firsts papers I had to read, It seemed I was reading an alien's language. Nevetheless, I noticed that after several weeks of exposing my self to such a "language", even tough I understood a 5% of what it was written at the beginning, my mind eventually got used to subconsciously!
Am an electrical engineering student about to specialize but confused between Computer and Automation Control Engineering, Electrical Power and Machinery Engineering, your concept will help so much
Do you have a guidance counselor at school?
@exaltitude i haven't been satisfied with their views as it was that computers and technology are the future, but at the same time, electrical power engineering is another interesting field.
I was excited to take a view from a person who knows about the market of technology, and that was when i came across your video
@@COMIC-STATIONHey...I also have that challenge I also want to do power but control system are taking over and tech is good too...I'm just confused
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
I think another point is:
*working to your strengths.*
I was in a PharmD and some of the students could pass classes and work with patients but talking to them, they just didn't get it at a fundamental level. Even some of the doctors I shadowed. I'd ask them about demographics impacting med doses, different clearance methods, etc. Nothing.
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.
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!
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
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 :)
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
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!
Hard, cold facts. My type of content
need more topics on this field
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.
This is really good, practical and sensible advice, thank you very much!!!! I just subscribed!
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?
This video cleared my cloudy thoughts regarding my career, I thank you!
This video cannot be more on point!! Also those who say to navigate ML without needing math is joking with themselves..
Becoming AI engineering is challenging but the payoff is really good, it is so excited when you have a chance to join a circle to change the rules of game and make your idea become reality in this world, and the most excited point is to proof that impossible thing actually is a possible, just only the mindset is “you want or not”!
I start back school for undergrad CS next month. I’m looking to become an ai engineer, computer & information systems manager or game development since I love the gaming world
A lot of people on TH-cam talk about job opportunities when talking about a particular engineering field but I couldn't care less I just like the field and I will learn whatever I want to learn 🎉❤
Don’t get scared friends… yes it’s competitive but it’s also daily expanding. Be positive friends.
Thanks for the honesty.
Thanks for watching!
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?)
th-cam.com/video/oP7qtbA8MsI/w-d-xo.html
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.
Great video. No nonsense false information. Thank you.
Thanks for watching!
There is a model I want to invent so badly that why I started machine learning it not about money of acquiring Qualification but to make a certain Model that will help many people
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!
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?
You gives me the motivation that I need, thanks you
You can do it!
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
1. AI is hard
2. High competition
3. Burnout
4. Rapid changes
5. Lack of junior level
Thanks for the summary!
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.
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.
Great presentation and hit all the important points!
Im 1000% true, people getting paid $300k saying 'dont go in for the money'. so annoying.
Thanks for the advice.
One tip, the background music at the end is too loud.
Thanks for watching to the end 🙏
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
I'm a first-year computer science student feeling uncertain about my next steps. Despite completing my first year, I only have basic knowledge of TypeScript, C, data structures, PHP, and databases. My true interests lie in AI/ML, mobile app development, and web development. I'm torn between:
1. Web development (seems necessary for every programmer)
2. AI/ML (my passion)
3. Mobile app development (also interested)
4. Data Structures and Algorithms (important foundation)
Choosing the right programming languages for each field is also overwhelming. Please guide me on what to focus on for the next two years and suggest suitable languages to learn.
Here is a video that may be helpful. I explained the best languages for various paths and my experience with them. th-cam.com/video/nwjZ_7Ll3ko/w-d-xo.html
I'll add to make queue to make a future video to address more of your questions. Stay tuned!
Great video thanks for making! P.S. Background music was a bit too loud for the outro FYI
Love it!
Thanks!!
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
I am pretty old to start out on AI but have been full stack for quite some time and wish to switch at some point. But the older I get the more obvious it becomes a stark reminder - there's the top level leader and the rest who he pays to work under him. The higher the level, the more social skills are gonna come in handy. But hey, we live the often never thought of, net negative, claustrophobic cycle of chaos called 'life' and if you're not vegan, you add to the evil lol. Jokes aside, everything organic has a time limit, so all I can say is, live content until the end. Striving too hard to achieve something you don't desire after all, is just more pain imho. Imagining us working so hard for a time in the future where work is purely an AI thing and humans would be just fine having fun at all times. Currency will hold no value.
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!
You won't get far into ML/AI with a psychology background. Do something else
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 🙏
Could You give few reasons for not be a Quantum Computer Engineer? -> ans. dive in the research papers.
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.
(9:31) What if AI is alligned with my passions and values?
"Keep reading them until they start making sense" XD I found this really funny!
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?
Oh i Like you for keeping it real. Thanks
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.
Thanks for your honesty. Money is my motivation
Thanks for keeping it real!
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 th-cam.com/video/_Sk0W7c78NE/w-d-xo.htmlsi=JhJCII3g3lu5LDci
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
What background do the people making the AI/ML models have, as opposed to those making the pipelines in which said models are implimented?
People developing AI/ML models usually have backgrounds in machine learning, data science, or research. Those building the pipelines for model implementation often come from data engineering or ops, focusing on integrating models into production and managing data flow.
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.
I'm very interested in AI but not a maths person haha. What do you think can i get into AI product management?
Hello, i came from a non STEM degree. Right now ive made a huge milestone by completing calculus and also statistics and python basics, though it was all self learning and i dont have formal qualifications, do you think its possible to break through the industry by aiming low end programming jobs then work my way up? Or a degree is strictly needed? Thanks!
Shes so honest, I really like that
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.
Amazing your perspective. Thank you 😉
"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!"
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
Reason 6: its boring to do the data transformation work which makes up a big portion of the job.
Hello! I'm a 17-year-old Brazilian high schooler and I want a peaceful life in a cabin with my family in the nature. I'd love to go to Liechtenstein and work remotely in a not so demanding job with high income in which I'd be able to raise and educate my children with my wife by ourselves. Do you have any jobs or tips in mind for me to be able to achieve that? Thank you! AI Engineering seems really interesting and I love the field, but it scares me currently for being an overly demanding job with a harsh job market.
Surprising that you’re thinking that far ahead. I’m also 17 and in high-school and my only advice is to just code🤷🏽♂️. You shouldn’t be worried about a job or a wife just yet. Otherwise, there are some nice videos up on the channel that might help you out👍🏽
@@coldlyanalytical1351Not a joke.
@@coldlyanalytical1351 Yeah, but I want to, though.
@IosephJesus Do you have already a wife and children? If not, when do you think you'll have a wife and children?
@@exaltitudeI don't already have a wife nor children, but for me it makes no sense not to prepare for the time they are supposed to enter my life the best way possible immediately. I don't have any previsions for when but I want to be the most virtuous and provident father I can when it does happen. Anyways, now I'm in my summer vacation and next year I'll be going to my final year of high school in which I plan on professionalizing myself so I can already work in 2025. That at the same time I learn German having already learnt English and researching on ways for me to move to Liechtenstein as for me it's the best country for me to have a family in.
Great YT.. it would fun if you and TechLead did a show together !
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 😁
Try using a GPT to read AI research papers to you.
Love it! Use GPT to read anything! It can save you time and help you understand better for sure
@@exaltitude
I have found a few factual mistakes in the responses to my questions but overall I am very impressed. Especially when it comes to writing working code.
The future is going to be interesting.
I had a recent epiphany that the future of entertainment will be customized to every individual's desires. Imagine a movie generated just for you and where you can actively interact with the characters. The possibilities are endless. The distinction between reality and the matrix is going to become blurry
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.
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
Thanks for these tips you got new subscriber
Just subscribed 🎉
this may be very dumb, but is there a particular place to read research papers...... like is there once single site of access or is it all over the internet kinda thing
Yes go to the Machine Learning/AI Research Papers section on my website www.exaltitude.io/job-seekers
@@exaltitude thank you
using the YT algorithm to ask for a like is a genius move 👌
This was really informative and probably what I needed to hear! Thank you!
Glad it was helpful!
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!