Is learning ai worth it reddit I think the hype is way gone but what has left is the real deal. I highly recommend MIT’s ‘No Code AI and Machine Learning’ online course. I'd recommend it if your situation is anything like mine: you know machine learning and just need to get up to speed on how people are doing projects with large-ish data sets and tensorflow. Learn Blender if you're interested in it, and then in the future the AI addons will make it even more interesting. This is the impression I have gotten, and I hope you can correct me if I am mistaken. I'm a senior FE dev working as a contractor - as a result, I move from codebase to codebase every 6-12months, sometimes more frequently if a company that hires me moves me between teams internally. Someone needs to be controlling the AI to make it do something. And money has emotion, regardless of whether it's an human or an AI that is created by a human. A place for beginners to ask stupid questions and for experts to help them! /r/Machine learning is a great subreddit, but it is for interesting articles and news related to machine learning. In my experience, an AI degree is worth getting if you like doing intellectual work. The vast support for it is amazing practically endless possibilities. I think it's worth. Basically, I want to know enough to know that a problem can be solved with AI, and to do a quick POC if needed. ai etc). But soon there's going to be a flood of bad AI copy hitting all the ad channels, and media companies are going to have to start filtering out easily identifiable AI copy. This is normal, even after you have been hired. google) Raspberry PI (toy usage with simple implementation practice)- RaspberryPiFoundation: Introduction to Machine Learning and AI | edX (just included because I like playing with Pis and find it easy to do toy projects with them without having to worry Personally think the fundamentals certs are worth it if interested in the MS/Azure ecosystem and you're in a non-it role and/or have limited knowledge yet and still learning, but for employers or the subjects you mention not that much (HR, Analyst). In AI Assistant, I can right-click the class name, select AI Chat, and type "create test cases using XUnit and FluentAssertions and NSubstitute". Your getting a slight bumb in core count and memory speed and bandwidth that will have an impact but not enough for me to say cut back on the cpu No, its not worth it at all. ai took me only 10 hr each. engineering. Yes, learning AI development and Machine Learning is definitely worth it in 2024. The problem with most of these humble bundle book collections is that getting through a book is a big undertaking, so you don't really want 17 books on deep learning, you want 1 quality book that you'll actually finish. Most of them are in North America (US and Canada) and most of the ones worth investing money in are from the top 10 unis for CS in both those countries. I don’t know how anyone could predict the job market if that’s what you’re asking. Perfect for anyone new to AI and machine learning. AI is a very broad field. In conclusion, learning React in 2024 is about as worthwhile as trying to teach a fish how to tap dance – entertaining, perhaps, but ultimately futile. Any recommendations for affordable and quality Master Degree program, which i can do online i part time ? Is a master's degree worth it for me? Data Science or Artificial intelligence: Which is the better choice to get master degree for my career?" AI language learning will be a massive tool for people that can't speak a lick of the other language, but will pretty much be useless for people that want 100% quality and good conversation in another language. Meaning things like Intent-Slot classification, NER, classification have become easy. Chat GBT can help you learn to code. That number is only going up. You learn about all sorts of new stuff with another group of kids based on your skill level, and you get to make a project at the end. I've been amazed at the value from WGU utilizing industry knowledge (I've earned over $1,000 in industry certs A+, Net+, Proj+ and others) and I think WGU assumed Udacity would be another industry-recognized cert but the program is terrible and I don't think WGU Master's in Artificial Intelligence, Machine Learning, or Computer Science: A master's deepens your understanding of AI theory and exposes you to advanced topics like computer vision, natural language processing, and robotics. I was thinking about taking the first one, but having done Google courses and CS50 ones, CS50 is far superior. But AI doesn't need to replace everyone to make things hard for you. You can learn the latter stuff in six months or less. LOL. It’s a great introduction to AI, with clear, engaging content and practical, no-code exercises. So the thing about CS50AI is that it will surely be superior to the Google one if the Google one was made in 2020, but on the other hand, Google AI and Machine Learning courses are a lot more recent, thus up to date. It’s always worth learning just like math or philosophy is worth learning. AI systems aim to mimic human cognitive functions, allowing them to perform tasks like: Machine Learning: Algorithms that enable computers to learn from data and improve their performance over time without explicit programming. Especially at the beginning of your journey. These certificates will never speak louder than personal projects. Nonetheless, the field is growing and AI degree is in increasing demand. One thing these models have done is accelerate NLP usecases. Understanding some basic Python will help you with simple automation and data analysis indeed. It's a free Harvard python course by Dr Malan that is real good. I also think that AI is already doing trading, doesn't mean that you cannot. Here, you can feel free to ask any question regarding machine learning. That being said, some people learn better in a classroom format so you may benefit from an ai program. All that learning is learning human emotion. Sure, you can get into AI with other degrees, but I think u/thinker99 has a strange view of CS majors to say that CS isn't about solving problems. ai than several semesters of coursework. If I was to learn it all over again, I 'd start with harvard's cs50x and other lectures. Then hire a dedicated AI engineer whis is going to be better at AI than me. I use Topaz software for years now. soon this AI wet job will dry out and you'll be left will the real products and values AI bring to the society. Eventually I came across with fast. Is it really useful for a more valid neural net actual intelligent and learning AI? Some would say Rust is one of those, just like blockchain was a few years ago (with very little to show for it). AI is allegedly going to replace you. It is instead a whole lot of math and programming. I wanted to add a comment here since I'm about finished with the Western Governors class requirements for the Data Analytics program. The way I think of it is more like an updated version of an actuary or an analyst, gaining insight from and making educated predictions based on data, but updated with the ability to utilize It will take a long time before AI can be relied upon as an "ultimate solution" to prevent hackers from compromising systems/infrastructure. The official training videos might be enough for all the 900 (AZ,DP, AI) series. edit: here's my review of the program: they’re all really qualified to teach you - mit, princeton, stanford etc. ai although you would probably have heard about them After seeing how impressive this new AI is and considering how fast things are advancing, is it even worth working towards a career in computer programming. Natural Language Processing (NLP): The ability of computers to understand, interpret, and generate human language. Over a span of 2-3 years, I put in approximately 1000+ hours learning the subject matter. I am not in a stage in my life to learn a skill purely for my own pleasure unfortunately. I immediately fell in love. At its Learning even a little bit of coding opens your mind to new ways of solving issues. remember its not AI that will replace you, its the person using AI that will replace you. Because they wanted to get some in-house capability in that domain. Currently, working with AI means two things: either you do research (and you have to be somewhat exceptional for that), or you work in the "real world", which means you spend most of your time working with data. AI will always get better, and quickly. They aren't really representative of the types of problems or issues you'd likely face in an MLOps or DS role but they force you to think if you really want a good, competitive score. I want to share that I interacted with various courses/tutorials/books around internet and Fast AI was best at explanation of this subject. I’m not saying it’s universal but I’ve definitely seen a correlation between crappy candidates and certs in my own hiring. It wouldn't need to be in AI specifically, but would probably be good if it was CS adjacent, at least. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first party app. I want to know enough to use existing models, use AI apis provided by AWS and GCP, and to modify open source model a little bit to suit my needs. I am a Georgia tech student and a fairly senior practitioner of machine learning / deep learning at a large company, and I certainly learned plenty of useful information even in the first courses. Oh boy I wish that were the case. Sure AI is a thing rite now but it is looking more like a tool than an actual subsitution of any particular skill set - you might even find it useful for inspiration. Infact AI/ML in itself is not worth opting for early in your career. With its gaze firmly fixed on the enthralling realm of artificial intelligence (AI), this program acts as a gateway, beckoning learners into the captivating world of AI wonders. Don't fool yourself. linkedin. If you think learning to program is a waste of time, then don't learn, using "AI does it better than I can" is a b/s excuse to not learn. I'm wondering if anyone has any Dedicated to open discussion about all things teaching. With a strong foundation in computer science, mathematics, and programming, coupled with specialized knowledge in AI and machine learning, AI engineers are well-positioned to make significant contributions to the advancement of AI-driven technologies. Hello, I use Generative AI to create solutions and that includes using GPT-4. Is Azure AI Fundamentals Worth It in 2023? Without a shred of doubt, investing in Azure AI Fundamentals paves the way to a fulfilling and promising AI journey. AI-102 seems outdated to me. I think trying to chase these hype trends will just leave you exhausted. React is a popular library right now, that might last long like jQuery has. Well organized and lots of content to learn. Bottom line OP I don’t have a feedback on the specific course but I would suggest checking out machine learning/deep learning books as well if that works for you, they are very detailed and informative. it help me reduce task that require 30 min down to just 5 min The more I learn about AI, the more it makes me want to go learn the skills I have AI doing so that I can use AI with it even better. Also I don’t think anyone is naive enough to believe a certificate = a job, it’s mainly to learn/adapt to a skill. That's true. Lots of professors want students to get PhD's rather than work full-time because it's cheap talented labor and they can pay a fraction of the cost (often 1/10th) of what the student would make in industry. Fundamental programming python > advanced programming concepts > discrete math > statistics > linear algebra > AI specific learning (models/ETL/feature selection blah blah blah) I recommend Andrew Ng's course on AI/ML on udemy, very detailed breakdowns and essentially teaches you linear algebra from the get go. Mail sent directly to mods instead of modmail will be ignored. Learning python is more than worth it, it's easy to begin with but hard to master and always has new things to teach you. 5 years ago from MITx but it was quite disappointing (poor course TA and academic lectures disconnected from industry practices). The programs I am looking into are [Columbia's AI Professional Certificate] (https://ai. Programming is basically learning how to tell a computer what to do in language it understands. You can work in office for a low paying company or get a great salary from a company that has a flexible remote culture. Studying for a CS degree with basically guarantee you a high paying job (assuming the job market isn't bad like right now). some people build the AIs, some fine-tune/train them, some connect them to other systems. For AI the gains in speed likely wont need to be very much as frankly if you are just learning and building models some extra training time and inference time is not going to be the end of the world. I find machine learning incredibly interesting and have a passion for the advancements in the field. More importantly tho it's the knowledge u gain. Working with software often involves learning new stuff, at least if you have an interesting job, so learning to learn new languages is a skill in it self. And few other good ones too - deep learning. i think it's worth starting to learn at least one library as you work through being a full-stack or front-end developer. It creates a decent test case, usually just one. Now, I have been bitten by the whole AI craze and I am thinking about learning how to implement it into a project or two. Microsoft starts its FREE AI skills challenge on July 17th - August 14th. But it's also not secure enough to use in production. But as I already have that a good amount of experience, I would have to quit my high paying job and study for 2 years. g. However, learning to get settings right or finding the time to experiment with settings means to spend more time in edit. I know I sound like a bot but I’m doing UX Design and was considering the AI essentials course afterwards. It shows interest basically, however it's not a game changer, more of a profile booster. If you want something else, try Angular or Vue or something. edu/) and Stanford's AI Graduate Certificate. I have been using Motion for almost a year now. If you are exposed to more technical work, you will also have an easier time understanding what the programmers are saying. My friends currently doing it say it's challenging but fun. For anyone who uses the ad blocker UBlock Origin, you can hide all job posts from pattern learning AI on LinkedIn by adding this line to your filters: www. Data science programs on the other hand can be a bit of a mixed bag, and I’d make really sure that the program you choose prepares you for the kind of work you want to do. If you are a doctor and want to keep up with AI, you need to learn to use the AI tools, but you don't need to understand how they are built. It's not worth learning if you think you'd hate it. Most of the Canva nay-sayers have either never bothered to open the application or they have opened it, played around a bit, and then immediately called it garbage because they didn’t understand what they were doing because they expect it to run like an Adobe application. A lot of artists starting out, when they get their first job, they still need to go through a lot of training, because they've never actually been How did the AI essentials course help your overall learning objective. Welcome. It is worth persevering because at the end of it you will have skills that make you valuable and much harder to replace (developments in AI notwithstanding). Embrace the impending AI takeover, grab a bucket of popcorn, and enjoy the show because, my friend, the future is here, and it's not waiting around for anyone still stuck in the React era! AI will be the cheap alternative for a lot of small businesses, and put a lot of low end writers out of business. But it doesn't seem necessary to learn multiple. Let me tell you about my terrible and awful experience with simplilearn. CGI allegedly replaced actors. Cheap masters aren’t worth it unless you’re willing to full time busy your ass at studying. And this way you ensure people that they're hiring someone who already knows how the hell the pipelines work. On NVIDIA's website, there are data science, deep learning and generative AI/LLM courses, but they are short (2h-8h) and have small content. Alright, I know it's a little late, but I have completed both the AI Ambassador Program and initial Inspirit AI program and this is my take: -The Inspirit AI program is not too bad. It’s just demanding in terms of knowledge, you always have to be the smartest guy in the room in your niche at least. They have four categories you can choose from: 1- Machine learning challenge 2- Machine learning operations ( MLOps) challenge 3- Cognitive service challenge 4- AI builder challenge First off, there is a HUGE difference between a PhD and a Masters. This can be especially valuable if you're aiming for research-oriented roles or leadership positions in AI. That said, good jobs will take perseverance and work to get. AI is being hyped up now, who knows how long that will last. However, once I started taking the last two courses (conv and seq models), I slowed down to about 12 hours per course week, and I feel that I rushed it way too much. The prevailing wisdom is that if you're looking to transition into machine learning then use these courses to build up a port They were asking if it was "worth" learning to code because of ML/AI. The program starts tomorrow for me. Most of it is math and prerecs. It did save some of my photos (too much noise, shake blur, low-res faces). Now my question is, is learning Blender worth it? Specifically for monetary purposes. devops for ml is probably a better bet. Is it worth doing a masters to learn the math and develop an all round expertise in the field or should I move towards mlops as the market is saturating? You will sometimes doubt yourself and your ability. It might affect some jobs but AI will not wake up in the morning and decide to make a movie or a game. I have 3 years of experience as ai/nlp engineer and i did computer science engineering. I had done another one 1. Maybe in some schools CS is more software engineering than being able to solve problems with algorithms, but I think it's shortsighted to assume that those with a CS background are less prepared to I first took Ng's vanilla ML course, so the first three courses in deeplearning. Are AI certs worth it and if so what AI certs are good ones to work towards (AI Azure fundamentals, DeepLearning. It's always good to learn the basics properly. While it seems discouraging to pursue hacking when AI can easily automate what you are learning, AI still relies on human interaction to learn and be implemented. if you are so anxious about everything then you'll never find something you love to do. If you want to fiddle with tricky math problems and write papers, go for it. I'm currently at a company where they will pay $3000 a year for professional development, so I started looking into AI/ML related trainings and certificates. Also good payment, permanent requirement in learning new things and other benefits are big pluses. So I decided to learn a bit of blenders UI. Now it seemed obvious to me that I should do the masters program but now I am wondering if it will be worth all of the work or if I would be better just working full time and learning on the side and trying to apply to other places that I would rather work at. This program is worth taking, I took the Bootcamp with one of my collogue and got a really nice experience. They are interesting 'textbooks' problems but offer a neat challenge. ai courses or api, but i will share my experience If you want to dive deeper into deep learning, it’s a very long dive, Andrew Ng’s course on coursera is definitely one of the best references, he gives a very clear intuitional and mathematical introduction to the topic alongside with the basic fundamental coding practices ( array operations ) For free, this is absolutely worth it! The good thing is you'd always get the latest and greatest information. It goes into stuff like agents, searching, and machine learning (with tensorflow). The thing I have against this is the fact that to move markets is money. That's another good point - if you learn it, great for prototyping different solutions. You can make it work but from a career perspective I don’t recommend using that as a filtering criteria. Graduating in May with a major in CompE and a minor in CS. That sort of learning procedure is worth more than any course / tutorial you might do. Hello, just wanted to ask a question relating to how the current trend of AI development might be shaping potential job opportunities. AI is a huge field with varying levels of skills required. Blender is very problematic but the software is amazing given its context. You can try deeplearning. It’s hard to think of jobs that couldn’t be done by AI with a few more years of development. Look it up on Google. Or you could spend a decade or two trying to invent the next big architecture. Learning about searching problems has also been helpful outside of AI for me in USACO (a high school competitive programming competition) so it has applications outside of just AI. But since it knows the code base, it correctly created good sample data for dependent object constructors. I am not self-employed but I do managed a very large team (60+ managers/team members). As did a few of my colleagues. AI is doing for programming/society, what the calculator did for maths. In the essence it's not that much to learn, just JSX and state management. GitHub Copilot). Machine learning should definitely be helpful with your project. For reference, I am looking at hopefully getting accepted into Georgia Tech's MS in ML program (and potentially UGA's MS in AI program if GT doesn't accept me). Let alone the numerous other industries this will most likely impacted. I never went through the fast. I use Lightroom, and having an intermediate file created Google (Good into to practical use)- Learn AI Skills with Our AI Essentials Course (grow. Like anyone who reads the very good reviews on trust pilot, i decided to enroll in the post graduate course in machine learning and AI, knowing that the course is more expensive than other prestigious universities. You still need to know all the theories and how to do it yourself, AI just makes it happen faster. com##li:has-text("Pattern Learning AI") Oh and bonus tip, if you want to hide all those promoted jobs on LinkedIn too then you can add this line to your filters: It's worth learning if you want to learn it or think you'd enjoy it. A common response to this argument is that AI is a quickly growing field and we can’t judge it based off of what it is capable of today, but there are a few good reasons why I believe that AI will remain unable to be a substitute for learning to code even for the foreseeable future. lol Well AI degree would allow you to move to a Data Science field, although it would be better to start with DS degree if that's your plan. But then I'v got interested in machine learning (Deep learning, RL, CV actually all of that look attractive to me). /r/GuildWars2 is the primary community for Guild Wars 2 on Reddit. If you plan to work with development I think you should learn java. At least that's what's been happening the last century in tech. Not worth it, just go find a trade AI and Data science are packed with very qualified people right now. The world adapts to a higher speed of innovation by needing even more innovation. i learned more from deeplearning. I would like to see a vulnerability analysis before considering it - with this massive API surface and a dev team that's too small to even answer questions consistently on Discord or GitHub there's no way production level security measures are taking place. If you don't have a CS/math background is probably going to take years to learn how AI models work under the hood, and building useful models requires not only knowledge and months (or even years) of work I think it is still important to learn to code and with AI, you can learn a lot quicker and do more. AI is not nfts or crypto. So if you learn that language, you’ll be ahead of the game. Examples are AlphaGo, clinical trials & A/B tests, and Atari game playing. columbia. I think it’s 100% worth learning. I find that the best option is to learn whatever you enjoy doing. Not a CS / IT graduate but I still think CS is worth it for the hard skills, then consciously develop your soft skills (leadership, negotiation, project management, creativity, problem solving, etc) as these are things that might help help you become an asset in your company and may even help you better use AI as a tool in your favor. Well, I still see a lot of developers earning 6 figures in blockchain development. But you better know the math. I saw the offer, but didn't realise this!!! Math is worth it more than AI by a long shot. All the instructors were not from Caltech but they were better than the professors from Caltech for me because the instructors were working as Data Scientists/ Engineers since last 6+ years and had a lot of experience on multiple projects. The exam content doesn't change much but if it does, you'd hear it on MS learn first. I had an opportunity to get some training through my current employer in AI/Machine Learning /Deep Learning. The more you know, the easier it'll be to achieve what you want. My problem is, I have no clue if C# is optimised for it. "AI will not replace everyone". I don't anything about AI jobs, but after a quick search - Machine Learning Engineer, Data Scientist, Business Intelligence Developer, Big Data Engineer/Architect, AI Software Engineer, Data Analyst, etc. AI/machine learning research is an exciting field, but it’s mostly academic. Research and Innovation: If you have a keen interest in research and innovation, a Master's Degree can provide you with opportunities to work on cutting-edge projects, collaborate with experts in the Statistics is valid for machine learning language based models and faking AI. What can happen is that folks who lack skills, but want to look like they have skills, will stack certs to make up the difference. The certification especially a paid one helps u stand out against the thousands of people who don't have one. Have concerns about how ml stuff makes profit to a business. I've also read plenty from textbooks over the years on AI, like Ian Goodfellow's Deep Learning textbook and Stuart Russell's Artificial Intelligence textbook. Reinforcement learning is a subfield of AI/statistics focused on exploring/understanding complicated environments and learning how to optimally acquire rewards. Just do the applied skills for Azure OpenAI. UBI debates and other stuff notwithstanding is it still worth it in the current year, and the years to come to learn programming? I can do lots of stuff given a bit of research time. My senior project uses some machine learning but I haven’t taken any specific coursework involving AI or machine learning. Learning how to code will make you much much better at utilizing AI to speed up your development process. Absolutely. It helps me sleep at night 😂 You may pursue roles such as AI researcher, data scientist, machine learning engineer, AI consultant, or AI software developer, among others. Short answer: it depends. Try getting AI Courses with IBM in Edx, they teach based on the company itself, I'm trying one right now, I'm actually learning about Python for AI and Development Project which is a course and if you want a professional certificate you could actually learn the whole program which is Applied AI or you could have a different bunch of other programs like Professional Certificate in DevOps and These could include philosophical and social questions, art and design, technical papers, machine learning, where to find resources and tools, how to develop AI/ML projects, AI in business, how AI is affecting our lives, what the future may hold, and many other topics. Take "Foundations of Deep Reinforcement Learning" for example - do you care about using deep learning for RL problems? The next best way would be doing a Masters in the US, with specialisation in AI. I’m specifically interested in ML and Deep learning specialization but noticed that it is not available through coursera plus. I use it track my personal work projects, manage recurring tasks, track my house hold tasks, and as a personal assistant to help my team find time on my calendar if the need it (my company is smaller and doesn’t have EAs for staff). Now I am willing to do that, but would that be worth it? Regardless of which track you're going to fall into, I suggest you get comfortable with tools like AI pair programming (e. You should work with your coworkers in person to develop relationship and learn how to function in a workplace. The AI add-ons will be able to speed things up, but without a proper understanding of the basics you won't get very far. That being said, if you want to excel and be a master at machine learning, you, of course, need to refer some extra materials too, to get the basics cleared, like linear algebra and probability. Even if you don't land a job as a programmer it is a great skill to learn, since you can automate a hell of a lot of stuff. Whether AI replaces it eventually or not is irrelevant, AI is almost certainly going to "replace" the vast majority of jobs eventually. Good programs are worth. A good example is AI-wifu. Yes, but machine learning and data science is how humans use AI right now. I have years of coding experience in Python, another masters in Stats, and I have just finished a second undergraduate degree (in Engineering), giving me a very heavy maths background. Its best to stick with the core evergreen Software Engineering; work in FAANG's; build your experience and then look for some other opportunity. Learning to program is not about making a bit of software, it's learning how to solve a problem and implement a solution. It seems to me with advances in AI in the near future, low level programmers will lose there jobs left and right. You will get plenty of opinions on the value of a PhD, and I would say it is typically required for any researcher position in industry unless you have a stellar publication track record already, for some reason. But, I think you're likely to need to build depth in NLP or CV if you want to really work "in Gen AI" as opposed to "using Gen AI". After seeing how impressive this new AI is and considering how fast things are advancing, is it even worth working towards a career in computer programming. Every trade is a new language, and not everyone is willing to learn a new language, so the need for a translator is there for the people unwilling. Where we currently are, data science, AI, machine learning, and deep learning is not sentient computers. Everyone wants Gen AI and that’s not on the test. I’d do a math masters with a comp sci under. With the rapid advancements in technology, AI and Machine Learning are increasingly being integrated into various industries, creating a high demand for professionals with these skills. My main weakness is math and as I follow Fast AI, I find myself comfortable with learning them both (Math and DL) on the way. One of the books I would recommend is Deep Learning by Ian Goodfellow. Nope. The thing is I have doubts about reliability and payment of that sphere. 3d is so cool. Lots of people say that it's a waste of time and that I should instead learn python to be proficient in it. These could include philosophical and social questions, art and design, technical papers, machine learning, where to find resources and tools, how to develop AI/ML projects, AI in business, how AI is affecting our lives, what the future may hold, and many other topics. Prerequisites are not enforced when registering for courses, so you can take late program courses in the beginning if you’d like (though I would CS/AI PhD students will have some more specific advice, but in general: For the short term, try to find yourself an undergraduate research experience to see how you like it. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. The instructors and counselors were very good, making learning both easy and enjoyable. You will receive a certificate upon completion. with AI you can learn faster and code faster. AI will be trained on markets that were created by humans. As developer, Yes coding is still worth it. ai courses, Stanford courses etc. Ai has had the betterness of humans for quite a while, but it doesn't mean there is no worth in learning it. I am currently doing a 6-week AI PM course and I’d say it’s really worth it because it’s live classes with a very seasoned data/AI PM who’s reflecting on his own practice. Most doesn't require low level tweaking/developing new methods of models that it once did. Please read the rules before posting. I am trying to find a good masters degree course with a relevant and good curriculum. If you're new to machine learning, it's way too focused and the deep dives on implementation would probably be overkill and painful. ai and gave it a try. So if you're worried about AI then maybe learn how to use it so you'll have a job controlling the AI. There are different fields like AI, Data Engineering, DevOps, Automation, etc that all require the knowledge of Python. It's worth it. Seeing how much AI has helped with my development, but also seeing how badly it could be going for me if I didn't know what I know to spot its flaws, has gotten me starting to do everything from dabbling in new Java is good for data structures and algorithms. I wouldn’t expect it to make the masters worth it in the open market, but that may make it more worth it to you. 14% of the workforce in the US reports to have been displaced by AI. People still solve sudoku puzzles even tho AI will never replace 3d artists. Hello, I hire Junior DS/AI engineers (sometimes). This field will evolve into true AI. Reply reply AI-900 is easy and definitely worth it to learn some offerings Microsoft has. I'm working as a software engineer and we wanted to level up our artificial intelligence skills my doing quality courses and also getting certifications that are worth it on the international scale. . dnsom dzqz vjwzak cuyc esvwobm uvg poack pfxpx ivdvyg jmoa oijtepbm spunkb mtkvax uoj sevu