AI 제품 관리자 되기: 4가지 필수 단계

### AI 제품 관리 분야에서 커리어 탐색하기: 성공을 위한 4단계
* 🤖 AI 산업은 빠르게 진화하고 있으며, **향후 10년간 매년 35%씩 성장**할 것으로 예상되어 자동화로 인한 일자리 대체에 대한 우려에도 불구하고 수많은 일자리를 창출하고 있습니다.
* 📈 포브스에 소개된 제품 디렉터인 나사디 박사는 **개인이 사전 경험 없이도 AI 제품 관리에 뛰어들 수 있다**고 강조하며 자신과 제자들의 여정에서 얻은 인사이트를 공유합니다.
* 🎓 신입생이나 재학생은 데이터 과학이나 컴퓨터 과학과 같은 관련 전공에 집중하고 **제품 관리 과정을 통해 기초 지식과 실무 경험**을 쌓는 것이 좋습니다.
* 🛠 기본적인 AI 개념 이해의 중요성을 강조하는 Google의 제품 담당 부사장 Rob Lesh가 강조한 것처럼, **AI가 아닌 제품 관리자는 AI 기초를 학습**하여 AI 역할로 전환할 수 있습니다.
* 🌟 기존 제품 관리자는 **현재 제품 로드맵에 AI를 통합하는 전략적 비전**을 수립하여 기존 제품을 개선하고 경쟁 우위를 확보하는 데 AI를 활용하도록 권장합니다.
* 🔄 엔지니어와 데이터 과학자는 **제품 관리 기술을 습득**하고 잘 짜여진 포트폴리오를 통해 **AI 지식을 선보임**으로써 제품 관리로 쉽게 전환할 수 있습니다.
* 📚 나시디 박사는 **PMX 서버를 통해 리소스와 교육**을 제공하며 진화하는 AI 환경에서 관련성을 유지하기 위한 **지속적인 학습의 중요성**을 강조합니다.
* 🔔 나시디 박사는 AI 제품 관리 분야에서 경력을 쌓고자 하는 사람들을 위해 시청자들에게 **이 유망한 분야를 탐색할 수 있는 더 많은 인사이트와 전략**을 구독할 것을 권장합니다.

낸시 박사는 교육과 전략적 기회를 활용하면 경험 없이도 누구나 AI 제품 관리자가 될 수 있다고 믿습니다.

AI is the hardest topic right now because everybody is using Chat GPT, and this rumor is going to replace so many jobs out there. However, the AI industry is also creating many more jobs. It has been predicted that the AI industry is going to grow 35% year over year in the upcoming 10 years. Even if all the big tech companies announced layoffs, we have seen companies start hiring again regarding AI-related positions. So, it's definitely a great opportunity for people to jump in and start a new career in the AI management space. In this video, I'll share with you the only four ways to become an AI Prime manager with no experience. Make sure to stay until the end of this video where I discuss the four steps that most people don't do by the easiest to implement. [Music] People, hey guys, this is Dr. Nassidy, a director of product and featured in Forbes. I've helped 100 people land their dream piano job offer in fan companies and unicorn startups and continue to get promoted as a product leader. If you're interested in

plan management course. Please go to PMX server to learn more, to learn the most efficient way to become a product manager. Please make sure to subscribe to the channel and hit the like button to be notified every time you post a new video every Tuesday. A lot of people say you need experience to become an AI Club manager. I totally disagree because my very first fundamental managed job was AI product manager. I was working on smart cities and using machine visions and AI to help cities reduce car crashes. At the time, AI wasn't even that hot, that popular. There was no chance, but we were still able to make a significant impact on cities. So, I believe this amazing career, everybody should continue to pursue, not just myself. And I have other students, for example, on my student Russia, and he came from no part management experience, and then he broke into product management through our training inside the PMX server, and then he became a senior AI product manager. So, I believe you guys can do it as well, like five years ago when I broke into AI Prime.

management. The biggest challenge I had was that there was no step-by-step guidance to tell me exactly how I could do it. So, basically, I had to try to figure things out on my own. But I'm lucky now; there are so many resources out there. So, I make this video to make it extremely easy and achievable for all of you guys. Now, follow the four steps; just pick the one most suitable for you. Now, let's understand the four ways to become a product manager. The first way, which is for people who have no experience at all, no work experience, fresh graduates, currently in school, and there is a great chance you can become a Premiere even if you're currently in school. For students who are currently in school with no experience at all, you should focus on unsuitable AI problem management. Your position and where in school you should study the following majors that's highly favored by AI teams. For example, data science, math, computer science majors, or underground majors. And companies really like if you study master's program. I suggest you to study artificial

intelligence master's program and all those laid out the foundation of AI. Except these majors, you should also take different kinds of product management courses, either offered by your school or should take it for sure. If they're not offered by school, you should seek outside of your school to find any product management courses that will teach you hands-on end-to-end product management life cycle skills so that you're able to turn your course project into a part of your portfolio and demonstrate your related experience in product management and your knowledge about AI. There are five different tools you should use to build your product portfolio and should definitely check out this video. We'll describe all the five tools with detailed examples. After you have the AI knowledge and product already, you should definitely continue to apply for jobs and pitch yourself to the hiring manager to demonstrate your AI-related experience. I'm also going to link the video in the description of this video. The second one for people to become an AI Prime manager are people who are currently non-AI product managers, which means you could be data.

product manager, IoT product manager, Cloud product managers. But you want to transition into the AI space, becoming an AI Prime manager. For this group of people, there is a shortcut for you to make it happen. The advantage is that you already have management skills and knowledge. Now, you just need to learn all the AI foundations. According to the VP of product of Google, Rob Lesh, he emphasized the importance of studying the AI foundations for people to become an AI product manager. Here is what he said: One of the most asked questions today is that how can people become an AI product manager. So what's your advice to them? Because it's so hard right now. So what's your advice? Yeah, good question. Teams I've worked on have done a lot of AI stuff, you know, kind of machine learning, computer vision-related stuff, image recognition, so on. So I think, you know, working on some of those kinds of basics and things that are like in general, I like the unsexy side of sexy technology. So specific example, you know, we were

competing for, you know, PhDs in ML and AI-related disciplines. Um, when we were doing kind of image recognition for figuring out if, you know, people are trying to put porn in ads, we were competing with people trying to, you wanted to build filters for Snapchat or Facebook or whatever, you know, real-time computation applications. And so I think, again, like if you're, you know, if you're thinking about some of that stuff, I'd say look at some of the things, decide or the fundamentals of the Baseline, the basics, and learn those. That's always a good thing to, you know, to, you know, that's one way to kind of get up to speed on something in a way that maybe isn't as, might be harder, less hard to get into than if you're trying to go work at the hottest new startup that's doing some of this stuff. Again, you should try that too, but the reality is a lot of these fundamentals I think will stand people in good stead if they learn them and they understand them deeply. And this is a podcast interview I had.

with Rob and in my product Insider podcast. You can check out the full video version of the podcast right here, and we're also going to publish the podcast through Spotify and Apple Podcasts. You should subscribe to this podcast once it's available. Now, you guys may ask, Hey Nancy, what are those Foundation skills and learn about AI? Because it's too broad, too big. Now, let me list all the key skills you need to master in the AI space. Number one, which data set you should use to train the AI model and how to train the AI model. Number two, understand the differences between training data and test data. Number three, understand Supervised, Non-supervised, and Semi-supervised data models. Number four, understand language processing models used by bars and understand natural language processing as well as feedback and imputation loops. I know all the songs like World Disney knowledge me Nancy. I already did lots of research about different kinds of courses you can take. For example, you should take this Coursera course regarding supervised and non-supervised training.

models and this course about the national language processing and broke into four steps you need to learn and another course about feedback loop. I have collected a list of easy-to-digest technical courses for product managers, and most of them are free. You can go to this website and download all the PDF guides of recommended courses I verified and used by me. I'm also going to link the website in the description of this video. After you took those AI courses, you should directly create a product portfolio for experience as a Prime manager, but part of performance mainly emphasizes your knowledge about AI and what did you do about AI, maybe some kind of side projects you can work on with other people about AI, and this can turn into a product portfolio for an experienced product manager, and that is going to open so many doors for you to break into AI product management. The third way to become an AI Prime manager is to create a strategic product vision that adds the AI element to an existing product roadmap. For example, if you're already a product manager in the cloud space or product manager in the IoT space, many different

spaces, and in the past, AI wasn't very popular, and other people were not in the rush to create AI-related products. However, time is different in 2023 with all the charitable disruptions. So many companies think about how they can leverage AI to create competitive strengths. Therefore, if you're the smartest product manager, you should create a unique strategy, polar vision, to demonstrate how your different product can integrate with AI. For example, if you're running any cloud product or any ads product, can you use AI-empowered ads to make your ads run more efficiently? If so, you can directly work on AI products without applying for a new job, just within your own company. Let me give you a specific example regarding how I became an AI product manager. Because the first product manager position I was hired for was a smart series product manager, but at the time, we didn't know what kind of technology we should use to help CDs use car crashes. Then I provided a strategic vision about how we should use IoT and machine vision to help CDs reduce car crashes. That's

how I was able to tap into multiple domain names in my career without actually getting any degree in those spaces, and I was highly respected by my engineering team because of my knowledge about AI. By taking different kinds of AI courses myself, I'm going to make an end-to-end description regarding daily life as the AI Prime manager in my next video. Make sure to turn on the Bell notification once it's available. The fourth way to become an AI product manager is by transitioning from AI Engineers, machine learning Engineers, and data scientists into product management in the AI space. This is the easiest way to do it because it'll probably take you a longer time to learn AI knowledge compared with taking a longer time to learn product management knowledge. So, if you're currently already an AI Engineer or someone who knows so much about AI, you can start to learn end-to-end product management skills, product management life cycles, and then turn those skills into a portfolio to demonstrate you actually know product management and you have a solid foundation about AI. For example, one of our students

was a PhD in machine learning, and he was able to become an AI Prime manager in the self-driving car space. I believe you guys can do it as well. So, inside the PM accelerator, we teach people how to master PM skills and build a product portfolio. You can also watch free training on our YouTube channel as well by receiving lots of emails about them. Landing a job offer, watching our free training, you should definitely check out those free training about product portfolio right here and comment below once you land a job offer. Feel free to download the searching demand project. You can create your own product portfolio to accelerate your path to AI product management. I'm going to link it in the description as well. Becoming an appointment manager with no experience is facing unique challenges. Feel free to check out this playlist where I share with you different kinds of strategies you can use even if you have no experience. And if you like any free tips we prepare today, make sure to like and subscribe to the channel and share this video with any AI Prime Ministers out there. This is Dr. Nancy, and I'll see you.

next time in my next video. Bye, guys. [Music]

The ONLY 4 Ways to Become an AI Product Manager with No Experience

Dr. Nancy Li - Director of Product

경험이 없는 AI 프라임 매니저 되기

AI 산업은 향후 10년간 매년 35%씩 증가할 것으로 예상되는 등 빠르게 성장하고 있으며, 새로운 일자리를 창출하고 있습니다.

대기업의 감원에도 불구하고 기업들은 AI 관련 직책에 대한 채용을 다시 시작하고 있습니다.

이 동영상은 AI 프라임 관리자가 되기 위한 4가지 단계를 소개하며, 사전 경험이 필요하지 않다는 점을 강조하고 데이터 과학 및 컴퓨터 과학과 같은 관련 전공 공부의 중요성을 강조합니다.

AI 제품 관리자가 되려면 관련 전공을 전공하고 학교 또는 외부에서 제공하는 제품 관리 과정을 수강하는 것이 필수적입니다.

특정 도구를 사용하여 제품 포트폴리오를 구축하고 실무 경험을 쌓는 것은 AI 관련 지식을 입증하는 데 매우 중요합니다.

AI 제품 관리자가 아닌 사람이 전환을 원하는 경우, AI 기초를 배우고 머신러닝과 컴퓨터 비전의 기본을 이해하는 것이 AI 프라임 관리자가 되는 지름길이 될 수 있습니다.

AI 제품 관리를 마스터하기 위한 핵심 기술

AI 제품 관리에서 성공하려면 AI 모델 선택 및 훈련, 데이터 유형 이해, 다양한 데이터 모델에 대한 학습 등 올바른 기술을 습득하는 것이 필수적입니다.

Coursera와 같은 플랫폼의 추천 강좌는 지도 및 비지도 학습, 자연어 처리, 피드백 루프에 대한 귀중한 인사이트를 제공합니다.

AI 관련 부수적인 프로젝트를 통해 제품 포트폴리오를 구축하고 기존 로드맵에 AI를 통합하는 전략적 제품 비전을 수립하면 AI 제품 관리 역할로 전환하는 데 도움이 될 수 있습니다.

2023년에 AI의 인기가 급증하면서 기업들은 경쟁 우위를 확보하기 위해 AI를 활용하고 있습니다.

제품 관리자는 효율성을 위해 AI 기반 광고를 사용하는 등 AI를 제품에 통합하는 고유한 전략을 수립할 수 있습니다.

AI 엔지니어링 또는 데이터 과학에서 제품 관리로 전환하는 것은 AI 지식과 제품 관리 기술을 모두 개발할 수 있기 때문에 실행 가능한 경로입니다.

PM 액셀러레이터는 필수적인 제품 관리 기술을 가르치고 제품 포트폴리오를 구축하는 데 도움을 줍니다.

YouTube 채널에서 무료 교육과 함께 나만의 포트폴리오를 만들 수 있는 프로젝트 다운로드가 제공됩니다.

이 재생 목록은 사전 경험이 없어도 AI 제품 관리 직무를 시작할 수 있는 전략을 제공합니다.