0:00 - Intro 1:08 - Why should you learn AI 2:20 - Low code / No code approach 3:26 - Programming (Python) - Python fundamentals: Data Types, Data Structures, Conditionals, Object Oriented Programming - IDE: Visual Studio Code, PyCharm, Jupyter Notebooks - Libraries: NumPy, Pandas, Matplotlib, SpaCy, LangChain 5:09 - Git 6:16 - APIs - API Request and API Response (to use, say, ChatGPT API) 7:03 - Theoretical Fundamentals of AI - Machine Learning, Deep Learning (Neural Networks), Computer Vision, Natural Language Processing, Reinforcement Learning - AI ⊃ ML ⊃ DL ⊃ Generative AI ("⊃" means superset) - Since these days AI/ML is mostly based on Neural Networks (DL), you can directly jump to that to save time and then learn other broader ML/AI concepts along the way. 8:56 - Neural network architectures 10:08 - Text embeddings & vector store 10:38 - Real-world projects 11:52 - Mental models & specializations 13:56 - Extra resources
@@human_hope The learning will never stop. I'm looking into two to three years time to apply for jobs. I'm not just learning Python. I also started with Linear Algebra. I'm basically following the guide on the video.
This video is INCREDIBLE! It should be watched by any IT professionals in 2024. It is amazing how a new world is open for us, similar to what happened in mobile development back in 2010. There is so much non-sense noise in the media and even with IT content creators that we get lost in the true value behind all this. Thank you so much for sharing this. I want everybody in my network to see it.
Wow. This is pound for pound the best introductory overview to AI for someone looking to fast track their entry into the field from a non or limited technical background
Right! When I use chatgpt, it will bring up something Ive asked about from a week ago and Im like I forgot all about that😲, but yep AI learn, and also remember everything you talked about.
@@ShondaD_bruh that’s because it’s designed to remember other chat histories. Not because you started another chat. If you want it to forget after every chat you have to set up that in settings.
Love that you are focusing on the fundamentals for this! I feel learning Python is just as important as ever in the advent of all these AI advancements recently
I am watching her videos back to back.! I am starting my journey from fullstack web developer to machine learning/AI engineer.! Her videos are really helpful.!
@@archivesofkaden No, not just yet. Web development is still relevant as AI cant handle large scale projects just yet. And many companies cant just switch their existing projects to AI based development overnight. But that is for sure, over the next 5-10 years AI will make significant impact in web dev and will eat up entry level to may be mid level jobs. to me, i just love to learn new tech, AI is fascinating and i want to learn how it works.! So, i am trying to learn it.!
@@kushaltanna5569Hey folk, i am currently learning js, the concern is by the time i learn full stack with good projects (stuff like nextjs, ShadCN, tailwind, docker, kubernetes, CI/CD), genAI, langchain, deep learning stuff, 2026 or 2027 will come, where the hell will my requirement accomodate in the industry, because all these senior engineers by that time (like some) have already replace junior devs, what value will I provide? Pls help, it's infuriating.....
I never heard of this lass, this just popped up in my feed. Have to say - Wowsers!! She is knowledgeable & very focused in her style & presentation. Mad props!
As someone that is far down the path of my AI learning journey I can 100% vouch for the this roadmap. I wish I would have seen a roadmap like this earlier. Many of the roadmaps I saw at the beginning of my journey failed to mention important topics like git and APIs. APIs are a particularly important topic to cover if you want to build more sophisticated projects. Keep up the great content!
@@shobhitagnihotri416 You could learn a bit about software developed to make APIs use/creation easier (like Postman) which might hand hold you a little more if you're really only interested in the API interaction. However, more likely you need to first learn whichever programming language you want to use (I guess Python, though you might want to think about R for data science still) so you can extend knowledge of that language to making API push/pull requests. This is really the key thing here - "learning APIs" just means understanding the main principles and request structures as, guess what, every App's API is different, and you will need to read up on the specifics of how to call each individual one. Once you're comfortable with a programming language I would pick a web service that is well known and has loads of documentation (E.g. you can use Google's API to pull/update data from Sheets) and then gradually write some code that can fetch data, do something with it and return it.
Thank you Thu for the resources - as a person who was a lot younger in 1991 accessing the internet via FTP and a 1200 baud modem, we are at that place all over again. Also excellent advice you give to read BOOKS for their organization, not skipping over fundamental concepts. YT and newsletters and blogs are great for what they do, but first things first. What a great time to be alive! These are indeed "early days".
I've seen.a couple of videos with almost identical titles/topic of content i.e. AI learning roadmap. But you've done a remarkable job in simplifying things while educating and still making the unknowns seem accessible. You've clearly highlighted the structure, tools and resources for each step along the way. Thank you.
Thanks a ton for posting videos to put AI into practical using Python. I am 59 years and want to persue a PhD in AI for Neuroscience & Oncology & your videos are very inspiring & encouraging.
Nothing late some guys asking their age around 20 's,is it too late for me believe me it is late for them if they have no brain but if you are over 60 's it will not be late ,if you are smart and like it...
Starting over? I prefer to think of it as building an entirely new world on top of everything I already know. By the time you get to your age, you have way more context to inform the possible uses of AI compared to younger individuals. And in my experience, AI is very simple and easy to leverage without doing any programming. Using chat GPT and Claude AI in their native format presents so many unique opportunities alone.
I love how Thu almost starts giggling when talking about how all these awesome tools are freely available. This is a joy that only developers and Linux users really understand.
i was so scared of writing program or code as i m a mechanical engineer but watching and following your portfolio projects has eased my introductory joutrney in it and i was surprised that i liked generating diff visuals and analyze them. Thank you so much. i'll remember you as my first data science teacher. :)
Really exceptional video! As someone who worked with old fashioned backprop nets in the 90’s and then got side tracked with work, this vid is the perfect jumpstart to get back into this tech. Thanks!
It's a very comprehensive and thoughtful roadmap to learn AI, Thu. Appreciate your research and efforts to put together such a great guidance with lots of useful information. 👍🏻
📝 Summary of Key Points: 📌 The video provides a roadmap for individuals interested in learning and working with AI, emphasizing the rapid pace of change in the field and the abundance of open-source tools and models available. 🧐 Learning the basics of programming, particularly Python, is recommended, along with understanding essential libraries and version control. Knowledge of APIs is crucial for communication between computer programs. 🚀 Gaining a high-level understanding of AI and its subfields, especially deep learning, is important. Neural networks and their concepts, such as forward propagation and backpropagation, are explained. 🚀 Understanding how foundation models underlying AI are trained through unsupervised processes, such as text embeddings, is highlighted. Building projects and sharing them is encouraged for hands-on experience and learning. 🚀 Developing mental models around AI and potentially specializing in a specific area within AI is suggested. Exploring overlooked topics like advanced prompt engineering, AI security, safety research, and regulations is recommended. 🚀 Continuous learning is emphasized to keep up with the fast-changing field of AI, and viewers are encouraged to subscribe for future content on data science and AI. 💡 Additional Insights and Observations: 💬 "Companies are increasingly looking to implement AI solutions to solve specific problems." 💬 "AI models still have many issues that need to be solved, such as reliability, stability, and biases." 📊 No specific data or statistics were mentioned in the video. 🌐 No specific references or sources were mentioned in the video. 📣 Concluding Remarks: The video provides a comprehensive roadmap for individuals interested in learning and working with AI. It emphasizes the importance of understanding the basics of programming, gaining knowledge of essential libraries and version control, and developing a high-level understanding of AI and its subfields. The video also highlights the significance of hands-on experience through building projects and the continuous learning required to keep up with the evolving field of AI. Made with Talkbud.
Thank You Thu. For providing such a wealth of experienced information. Thank You for all the hard work , putting the PDF together and posting it, for us. We appreciate it very much! I'm avid note taker Myself. So I know the effort it takes to generate effective notes. My current research centers about Web Dev Technologies. Quickly I've realized how AI, LLM's, NLP Etc. have become an integral part of all development. The AI Technology Explosion is daunting for sure. Especially for those of us who are new to it. In my age group, I can't tell you the number of times I've heard, "Oh that's beyond me" "All that Tech., stuff. I don't understand it." "No I haven't tried the AI Chat Bots, that's way over my head" ... Well It's NOT, Let us not limit ourselves. I'm retired now, still learning, still researching. I'm an older IT-Person. In my career, I was more centered on Network administration. But I'm still inquisitive of new Tech. My name is Wil. I love your Channel. Best Wishes... Many thanks ;-))
Thanks sis, I am currently pursuing my web development career but I would like to change to AI after having some experience in the tech area. This video is quite helpful. ❤
You've opened up a lot to me. I was experimenting with BARD before it was replaced with GEMINI and never advanced much in either. I tried Copilot a bit and didn't advance very well with that one either. I enjoyed your presentation. Thank you.
This is a great introduction! Ive learnt a lot. Im a Project Manager with 20 uears experience in the water and environmental industry. Im going to start challenging myself to learn some solid foundational knowledge in these concepts. Im sure I'm going to start bumping into real world applications in my industry so want to be prepared.
Thank you so much! I have had a few ideas that I've never really considered because it seemed out of grasp since computers has just been a hobby, but as I've been looking more and more into AI I realized that it's in my reach with a bit of study and effort. So I've been wondering where to start with everything moving as quickly as it does, and this video was perfect.
This video was great! I really like your approach and it shows your professionalism and deep knowledge. It really motivated me! Thanks for the resources as well
Fantastic insights on learning AI! Your approach is practical and inspiring. Thanks for sharing such valuable steps and resources. It's a great guide for anyone looking to dive into AI.
Thank you for the video! You have consolidated the breadth of AI and how to start on this journey very well. This is giving me confidence that I am heading in the right direction
Learning that AI has applications in creative fields like music and art broadens its appeal to me. Really appreciate the tips on NumPy and pandas! I'll start experimenting with APIs to see what I can build.
This is very inspiring. A proper dissecting of AI beyond the continuous magic that we are often told that it does. Interesting Perspective too on the various areas of AI niche specialization. Thank you!
Outsourcing to other geo-locations to save $ has taught me two things, 1. Github is git and 2. React is a programming language that solves all problems.
I am not saying i will do this, but rather how any one of us can. She is giving us a clear guide. So, if you (I included) give it 10 yrs. of just self-studying, imagine how much you (I included) will learn and the ppl. you (I included) will meet. That's how we change our life. She is clearly helping us. It's now up to us.
Wow, great content! I am hoping to know more about AI, and I think this video gave some ideas. It also reminded me that I did coding about 10 years ago. Now I kind of want to try to learn Python.😊
We are all together. I am 39 and im an apprentice again. Good luck to us all❤ Update: Secured a Trainee Position in Just 2 Months. Now getting paid to study by Africa's No1 Retailer. Never give up Guys!
Great video! Too many of these AI content creators are just blowing smoke. This was a great overview of the stuff I'm gradually realizing I need to learn.
Great vid. Thank you for this roadmap. Wanted to do this since my teens, but finally taking the time to do what I really like, going all in on this! your info is a nice starting point to start looking deeper into the subject. New Sub!
What an amazing framework to begin learning about AI. Thank you so much for condensing such a complex and broad topic into an easy to understand learning path❤❤❤
That was excellent, covered all the bases in a simple overview. AI is going to know how this turns out, not us. I'm an old EE , just learning it for fun.
What I need is a tutorial on the basic terms. I took an "introductory" AWS class on "Reinforcement Learning From Human Feedback" (RLHF) and was lost in 2 minutes, because of the very specialized languages professionals use: "using a preference dataset to train a reward model...")
I would also add to familiarise oneself with basics of statistics and sql, which many padavans overlook and jump in to fancy stuff. Besides, sql may be easier to dig in to some non-programming folks, and to build the model one needs to get the(big) data out of the database. Thanks for the video❤
This one is really informational and appreciated video, so much encouraging. I took a Machine Learning class as MS Civil Engineering elective. Knowledge of conditional probability helped me learn better. I enjoyed plotting Decision Boundaries. Thank you so much Madam🎉🙏🏅🌾💯 You are the best!
Based on the provided transcript, here are five key points summarizing the content: 1. **Rapid Evolution of AI Tools and Impact on Work**: The speaker emphasizes the fast-paced development of AI, mentioning the launch of Microsoft Co-pilot for Office applications, and stresses the importance of learning AI to adapt to changes that will significantly affect work and life. 2. **AI Learning Roadmap Without Prior Expertise**: A roadmap for expanding AI skills is offered, targeting individuals without a background in machine learning, mathematics, statistics, or programming. It includes learning the fundamentals of AI, programming basics with Python, using IDEs like Jupyter Notebook, and understanding essential Python libraries for AI projects. 3. **Importance of Version Control and API Usage**: The speaker highlights the necessity of learning Git for version control and understanding how to use APIs, which enables the development of more sophisticated and customized AI applications beyond what low-code/no-code platforms offer. 4. **Theoretical and Practical Aspects of AI**: An overview of AI's theoretical fundamentals is given, including machine learning, deep learning, neural networks, and the significance of understanding and working with large language models and text embeddings. Practical advice is also provided on building AI projects to solidify understanding and gain hands-on experience. 5. **Continual Learning and Specialization in AI**: The speaker advises on developing mental models around AI, possibly specializing in a specific area, and stresses the importance of continuous learning given AI's rapid evolution. Reading books on AI and exploring less mainstream but crucial topics like AI security, safety research, and regulations are recommended to gain a comprehensive understanding of the field.
0:00 - Intro
1:08 - Why should you learn AI
2:20 - Low code / No code approach
3:26 - Programming (Python)
- Python fundamentals: Data Types, Data Structures, Conditionals, Object Oriented Programming
- IDE: Visual Studio Code, PyCharm, Jupyter Notebooks
- Libraries: NumPy, Pandas, Matplotlib, SpaCy, LangChain
5:09 - Git
6:16 - APIs
- API Request and API Response (to use, say, ChatGPT API)
7:03 - Theoretical Fundamentals of AI
- Machine Learning, Deep Learning (Neural Networks), Computer Vision, Natural Language Processing, Reinforcement Learning
- AI ⊃ ML ⊃ DL ⊃ Generative AI ("⊃" means superset)
- Since these days AI/ML is mostly based on Neural Networks (DL), you can directly jump to that to save time and then learn other broader ML/AI concepts along the way.
8:56 - Neural network architectures
10:08 - Text embeddings & vector store
10:38 - Real-world projects
11:52 - Mental models & specializations
13:56 - Extra resources
Thanks a lot.
🤞🏻
I’m
I'm 46, starting from the bottom, currently learning python.
Thank you so much for the roadmap and information. Looking forward more videos on AI
That sounds awesome, Dorian! Good luck with learning 🤗
im 39... same boat ;(
I´m 70 years old and will also start somewhere.
Do you mind me asking what exactly do you plan to do after learning Python?
@@human_hope The learning will never stop. I'm looking into two to three years time to apply for jobs. I'm not just learning Python. I also started with Linear Algebra. I'm basically following the guide on the video.
I love being provided with the .pdf so I can stop hitting pause, taking notes and turning this into a longer ordeal. Thank you!!
This video is INCREDIBLE! It should be watched by any IT professionals in 2024. It is amazing how a new world is open for us, similar to what happened in mobile development back in 2010. There is so much non-sense noise in the media and even with IT content creators that we get lost in the true value behind all this. Thank you so much for sharing this. I want everybody in my network to see it.
Wow. This is pound for pound the best introductory overview to AI for someone looking to fast track their entry into the field from a non or limited technical background
Thank you so much! Glad it was helpful! 🙌
Do you have a degree in CC?@@Thuvu5
I am absolutely overwhelmed, it looks like I need to be nerdy again
This is simply the most comprehensive and valuable AI Roadmap video I've ever seen! You're truly amazing.
Wow, thanks a lot! Glad it was helpful 🤗
You DONT learn AI, the AI learns YOU!
Right! When I use chatgpt, it will bring up something Ive asked about from a week ago and Im like I forgot all about that😲, but yep AI learn, and also remember everything you talked about.
@@ShondaD_bruh that’s because it’s designed to remember other chat histories. Not because you started another chat. If you want it to forget after every chat you have to set up that in settings.
Love that you are focusing on the fundamentals for this! I feel learning Python is just as important as ever in the advent of all these AI advancements recently
Indeed! Coding might be more high level and look different in the future but it will still be an important skill!
@@Thuvu5how come A.I. is only being developed in America (and not in your native Asia)?
My friend.... People follows money@@ireneuszpyc6684
I love how you tell us what to learn in specific
I am watching her videos back to back.! I am starting my journey from fullstack web developer to machine learning/AI engineer.! Her videos are really helpful.!
Would you say that web development is not worth your time anymore considering the market?
@@archivesofkaden No, not just yet. Web development is still relevant as AI cant handle large scale projects just yet. And many companies cant just switch their existing projects to AI based development overnight.
But that is for sure, over the next 5-10 years AI will make significant impact in web dev and will eat up entry level to may be mid level jobs.
to me, i just love to learn new tech, AI is fascinating and i want to learn how it works.! So, i am trying to learn it.!
@@kushaltanna5569Hey folk, i am currently learning js, the concern is by the time i learn full stack with good projects (stuff like nextjs, ShadCN, tailwind, docker, kubernetes, CI/CD), genAI, langchain, deep learning stuff, 2026 or 2027 will come, where the hell will my requirement accomodate in the industry, because all these senior engineers by that time (like some) have already replace junior devs, what value will I provide? Pls help, it's infuriating.....
I never heard of this lass, this just popped up in my feed. Have to say - Wowsers!! She is knowledgeable & very focused in her style & presentation.
Mad props!
As someone that is far down the path of my AI learning journey I can 100% vouch for the this roadmap. I wish I would have seen a roadmap like this earlier. Many of the roadmaps I saw at the beginning of my journey failed to mention important topics like git and APIs. APIs are a particularly important topic to cover if you want to build more sophisticated projects. Keep up the great content!
How can I learn API , I am an aspiring data scientist
Thank you! Really appreciated this 🙌
hello , iam 31 years old , how much times took to learn AI , you have good background on this field , thanx :)
@@shobhitagnihotri416 You could learn a bit about software developed to make APIs use/creation easier (like Postman) which might hand hold you a little more if you're really only interested in the API interaction.
However, more likely you need to first learn whichever programming language you want to use (I guess Python, though you might want to think about R for data science still) so you can extend knowledge of that language to making API push/pull requests. This is really the key thing here - "learning APIs" just means understanding the main principles and request structures as, guess what, every App's API is different, and you will need to read up on the specifics of how to call each individual one.
Once you're comfortable with a programming language I would pick a web service that is well known and has loads of documentation (E.g. you can use Google's API to pull/update data from Sheets) and then gradually write some code that can fetch data, do something with it and return it.
Thank you Thu for the resources - as a person who was a lot younger in 1991 accessing the internet via FTP and a 1200 baud modem, we are at that place all over again.
Also excellent advice you give to read BOOKS for their organization, not skipping over fundamental concepts. YT and newsletters and blogs are great for what they do, but first things first.
What a great time to be alive! These are indeed "early days".
I've seen.a couple of videos with almost identical titles/topic of content i.e. AI learning roadmap. But you've done a remarkable job in simplifying things while educating and still making the unknowns seem accessible. You've clearly highlighted the structure, tools and resources for each step along the way.
Thank you.
Thanks a ton for posting videos to put AI into practical using Python. I am 59 years and want to persue a PhD in AI for Neuroscience & Oncology & your videos are very inspiring & encouraging.
Starting over at age 59..
❤
Badarse🙏
Nothing late some guys asking their age around 20 's,is it too late for me believe me it is late for them if they have no brain but if you are over 60 's it will not be late ,if you are smart and like it...
Starting over? I prefer to think of it as building an entirely new world on top of everything I already know. By the time you get to your age, you have way more context to inform the possible uses of AI compared to younger individuals. And in my experience, AI is very simple and easy to leverage without doing any programming. Using chat GPT and Claude AI in their native format presents so many unique opportunities alone.
Great initiative sir/ma'am. 🙏🏻🙏🏻🙏🏻
Thank You so much for this clear and useful roadmap. So much appreciated
I love how Thu almost starts giggling when talking about how all these awesome tools are freely available. This is a joy that only developers and Linux users really understand.
i was so scared of writing program or code as i m a mechanical engineer but watching and following your portfolio projects has eased my introductory joutrney in it and i was surprised that i liked generating diff visuals and analyze them. Thank you so much. i'll remember you as my first data science teacher. :)
Fifty years ago I received a degree in electrical engineering. Now, AI is giving me wings
Really exceptional video! As someone who worked with old fashioned backprop nets in the 90’s and then got side tracked with work, this vid is the perfect jumpstart to get back into this tech. Thanks!
That’s awesome! All the best and happy new year!
It's a very comprehensive and thoughtful roadmap to learn AI, Thu. Appreciate your research and efforts to put together such a great guidance with lots of useful information. 👍🏻
📝 Summary of Key Points:
📌 The video provides a roadmap for individuals interested in learning and working with AI, emphasizing the rapid pace of change in the field and the abundance of open-source tools and models available.
🧐 Learning the basics of programming, particularly Python, is recommended, along with understanding essential libraries and version control. Knowledge of APIs is crucial for communication between computer programs.
🚀 Gaining a high-level understanding of AI and its subfields, especially deep learning, is important. Neural networks and their concepts, such as forward propagation and backpropagation, are explained.
🚀 Understanding how foundation models underlying AI are trained through unsupervised processes, such as text embeddings, is highlighted. Building projects and sharing them is encouraged for hands-on experience and learning.
🚀 Developing mental models around AI and potentially specializing in a specific area within AI is suggested. Exploring overlooked topics like advanced prompt engineering, AI security, safety research, and regulations is recommended.
🚀 Continuous learning is emphasized to keep up with the fast-changing field of AI, and viewers are encouraged to subscribe for future content on data science and AI.
💡 Additional Insights and Observations:
💬 "Companies are increasingly looking to implement AI solutions to solve specific problems."
💬 "AI models still have many issues that need to be solved, such as reliability, stability, and biases."
📊 No specific data or statistics were mentioned in the video.
🌐 No specific references or sources were mentioned in the video.
📣 Concluding Remarks:
The video provides a comprehensive roadmap for individuals interested in learning and working with AI. It emphasizes the importance of understanding the basics of programming, gaining knowledge of essential libraries and version control, and developing a high-level understanding of AI and its subfields. The video also highlights the significance of hands-on experience through building projects and the continuous learning required to keep up with the evolving field of AI.
Made with Talkbud.
Gracias eh?
Thanks
Thank you for posting this. Digging into one of the recommended courses, and it is free even. Amazing. Thanks again.
Thank You Thu.
For providing such a wealth of experienced information.
Thank You for all the hard work , putting the PDF together and posting it, for us.
We appreciate it very much!
I'm avid note taker Myself.
So I know the effort it takes to generate effective notes.
My current research centers about Web Dev Technologies.
Quickly I've realized how AI, LLM's, NLP Etc. have become an integral part of all development.
The AI Technology Explosion is daunting for sure. Especially for those of us who are new to it.
In my age group, I can't tell you the number of times I've heard,
"Oh that's beyond me"
"All that Tech., stuff. I don't understand it."
"No I haven't tried the AI Chat Bots, that's way over my head"
... Well It's NOT, Let us not limit ourselves.
I'm retired now, still learning, still researching.
I'm an older IT-Person. In my career, I was more centered on Network administration.
But I'm still inquisitive of new Tech.
My name is Wil.
I love your Channel.
Best Wishes... Many thanks ;-))
Truly appreciate the clarity and simplicity of your presentation! Very valuable. Thanks :)
This is phenomenal. Thank you.
An in-depth understanding of programing seems to be a good start.
Marvellous "if I had to start Over". Excellent DS Intro!!
Can't wait to start learning! Thankyou for this video!!
55 just retired from 30 years 1 job with 1 company. New venture Ai computer power rental platform. Looking forward to learning thank you 🙏
You are such a BADASS!!! I LOVE how thorough & well researched you videos are! Thank you so much as usual for so diligently sharing your knowledge!!!
Thanks sis, I am currently pursuing my web development career but I would like to change to AI after having some experience in the tech area. This video is quite helpful. ❤
This is the best inteo video to AI I have seen. Excellent work! 🎉
e cảm ơn chị. Một chiếc video tỉ mỉ không kém mấy video của các pháp sư ấn độ nhưng lại có accent việt đáng yêu vô cùng
Thank you for sharing in such easy-to-understand way. Love your voice too!
Keep up the good work!
You've opened up a lot to me. I was experimenting with BARD before it was replaced with GEMINI and never advanced much in either. I tried Copilot a bit and didn't advance very well with that one either. I enjoyed your presentation. Thank you.
You really explain the fundamentals of AI very well, and I also feel that learn the basics Python is important.
Wow... first video on AI that actually points me in a direction of legitimate AI learning instead of the latest hype. New sub. Thank you.
Great Rapid Fire tutorial on how to get started or brush up on AI. Thank you! Subscribed.
Nice ! I just finished a Data science Boot Camp , and now with this it will be awesome 😎 I’m liking this .
Thu, thank you for posting this video. Your road map pdf is great.
I'm 45, starting from the bottom, about to learn python.
Thank you so much for the roadmap and information. Looking forward more videos on AI
YES, build things with AI and not just be a consumer of it. Really excellent content, by the way.
Really appreciate the way you make AI learning clearly
THANK YOU SO MUCH for these insights ! They're very useful. Prepping in Python and Data Science Basics before applying for a vocational school!
This is the best intro online
This is a great introduction! Ive learnt a lot. Im a Project Manager with 20 uears experience in the water and environmental industry. Im going to start challenging myself to learn some solid foundational knowledge in these concepts. Im sure I'm going to start bumping into real world applications in my industry so want to be prepared.
I really appreciate your video and the immense work you have put into making it!
WOW, thanks for sharing your awesome Notion Roadmap resource. I love Notion!!!
Lady, your tone of voice, volume of background music and talking speed are really good.
Good content
A really excellent Roadmap articulated very well. Thank you.
I started to learn the AI and understood the RoadMap. Thanks for your time.. looking for more videos.
I am learning AI and came across your great tutorial. Keep up with the great work and thanks.. You got me to subscribe.
Any specific learning platform/curriculum that you are using to learn?
Starting this at 19 recently turned 19 ( 3 days ago) I’m gonna enjoy this for sure
Thank you for posting how to learn AI. I am just starting out on this journey and your video will help me out tremendously. New sub here!!!!
Wow finally a road map I needed from all the noise, this has brought me closer ❤
Thank you so much! I have had a few ideas that I've never really considered because it seemed out of grasp since computers has just been a hobby, but as I've been looking more and more into AI I realized that it's in my reach with a bit of study and effort. So I've been wondering where to start with everything moving as quickly as it does, and this video was perfect.
This video was great! I really like your approach and it shows your professionalism and deep knowledge. It really motivated me! Thanks for the resources as well
life changing education, thank you!
Cảm ơn chị, nhờ c mà e có động lực học về AI và coding.
E ko nghĩ e sẽ code đc thứ gì ra hồn đâu😂 nhưng ít nhất e sẽ hiểu nó để vận dụng tốt hơn 😂😂
Ủa chị ấy người việt à
đọc tên c ấy đi :)))))))
Superb video! Love it!👌Keep the videos coming. You are saving a lot of people like me so much stress figuring out where to start. Thank you!
Fantastic insights on learning AI! Your approach is practical and inspiring. Thanks for sharing such valuable steps and resources. It's a great guide for anyone looking to dive into AI.
Thank you for the video! You have consolidated the breadth of AI and how to start on this journey very well. This is giving me confidence that I am heading in the right direction
I am very much impressed, great job. I would follow all videos on the channel also that of Shopia. Thanks! Keep it UP!!
Absolutely love your presentation and your clarity on these topics. Thank you so much for this!
Aw that means a lot! Thanks for watching and commenting 🤗
Thanks for the roadmap and downloadables.
Cam on Thu Vu nhieu
Thank you too!
I feel lucky and grateful for watching this video... Thank you very much for explaining the step-by-step roadmap, It is crystal clear... Awesome!
Glad it was helpful! Good luck and happy new year! 🎆🤗
Thank you for making such a great informative video, I learned many things from this today. Keep up the good work.
Learning that AI has applications in creative fields like music and art broadens its appeal to me. Really appreciate the tips on NumPy and pandas! I'll start experimenting with APIs to see what I can build.
Very clear, precise and complete. THANK YOU!
This is very inspiring. A proper dissecting of AI beyond the continuous magic that we are often told that it does. Interesting Perspective too on the various areas of AI niche specialization. Thank you!
How and where to learn all this
Is there an institution that teaches this
This video and the PDF are amazing! Thanks for the helpful content as usual.
Thank you for the info. Especially those pictures. Well made video.
Outsourcing to other geo-locations to save $ has taught me two things, 1. Github is git and 2. React is a programming language that solves all problems.
Your explainations are very clear and structured, thanks!
Super intro, good work and useful one too. Thank you for your effort. ❤
I am not saying i will do this, but rather how any one of us can. She is giving us a clear guide. So, if you (I included) give it 10 yrs. of just self-studying, imagine how much you (I included) will learn and the ppl. you (I included) will meet.
That's how we change our life. She is clearly helping us. It's now up to us.
This is the video who gets me to learn python…like last week.
You did a GREAT JOB in this video! Very well organized, thorough, and references too! I'm subscribed and a fan!
Wow, great content! I am hoping to know more about AI, and I think this video gave some ideas. It also reminded me that I did coding about 10 years ago. Now I kind of want to try to learn Python.😊
I am starting over and starting with AI at age 49
Thanks God I am not alone, planning to start to build AI at age of 47.
50s here and starting into AI we are not alone.
We are all together. I am 39 and im an apprentice again. Good luck to us all❤
Update: Secured a Trainee Position in Just 2 Months. Now getting paid to study by Africa's No1 Retailer. Never give up Guys!
I’m 49 too! I’m really excited about learning more about AI 🤘🤖🤘
45 and want to reignite my programming career 🎉, best of luck to everyone !
The best road ever. Easy to catch on. You just gave me the best of the of the best. Wow. God bless you
Great video! Too many of these AI content creators are just blowing smoke. This was a great overview of the stuff I'm gradually realizing I need to learn.
Very good introduction about AI and programming skills, good point to start with AI from here, thanks a lot.
Great vid. Thank you for this roadmap. Wanted to do this since my teens, but finally taking the time to do what I really like, going all in on this! your info is a nice starting point to start looking deeper into the subject. New Sub!
You can do it! Thanks for the subs ❤️
Great , I will use your roadmap for learning AI.😍
What an amazing framework to begin learning about AI. Thank you so much for condensing such a complex and broad topic into an easy to understand learning path❤❤❤
So glad to hear! Thank you for commenting 🎉
Great video and article on Medium! I have featured your article in a recent video and upcoming post on Medium. Great to find your work!
I love how you cram a lot of info into each video with great transitions between slides! What video editing software program do you use?
Aw thank you for that! I'm using final cut pro :)
Very useful to understand in a simple language , thanks for sharing.
That was excellent, covered all the bases in a simple overview. AI is going to know how this turns out, not us. I'm an old EE , just learning it for fun.
What I need is a tutorial on the basic terms. I took an "introductory" AWS class on "Reinforcement Learning From Human Feedback" (RLHF) and was lost in 2 minutes, because of the very specialized languages professionals use: "using a preference dataset to train a reward model...")
Yeah, I can totally understand! I’d recommend a high-over reading on the basics of reinforcement learning before taking RLHF courses
Thank you for this. Very concise and eloquent. Great job!
This is a pretty well put together roadmap.
I like your presentation and smoothness of the video! keep creating
Thank you so much!
I would also add to familiarise oneself with basics of statistics and sql, which many padavans overlook and jump in to fancy stuff. Besides, sql may be easier to dig in to some non-programming folks, and to build the model one needs to get the(big) data out of the database. Thanks for the video❤
This one is really informational and appreciated video, so much encouraging. I took a Machine Learning class as MS Civil Engineering elective. Knowledge of conditional probability helped me learn better. I enjoyed plotting Decision Boundaries.
Thank you so much Madam🎉🙏🏅🌾💯
You are the best!
Based on the provided transcript, here are five key points summarizing the content:
1. **Rapid Evolution of AI Tools and Impact on Work**: The speaker emphasizes the fast-paced development of AI, mentioning the launch of Microsoft Co-pilot for Office applications, and stresses the importance of learning AI to adapt to changes that will significantly affect work and life.
2. **AI Learning Roadmap Without Prior Expertise**: A roadmap for expanding AI skills is offered, targeting individuals without a background in machine learning, mathematics, statistics, or programming. It includes learning the fundamentals of AI, programming basics with Python, using IDEs like Jupyter Notebook, and understanding essential Python libraries for AI projects.
3. **Importance of Version Control and API Usage**: The speaker highlights the necessity of learning Git for version control and understanding how to use APIs, which enables the development of more sophisticated and customized AI applications beyond what low-code/no-code platforms offer.
4. **Theoretical and Practical Aspects of AI**: An overview of AI's theoretical fundamentals is given, including machine learning, deep learning, neural networks, and the significance of understanding and working with large language models and text embeddings. Practical advice is also provided on building AI projects to solidify understanding and gain hands-on experience.
5. **Continual Learning and Specialization in AI**: The speaker advises on developing mental models around AI, possibly specializing in a specific area, and stresses the importance of continuous learning given AI's rapid evolution. Reading books on AI and exploring less mainstream but crucial topics like AI security, safety research, and regulations are recommended to gain a comprehensive understanding of the field.
Love your videos and how enthusiastic you are about AI and analytics, keep it up!
GREAT job and valuable content! Please continue the good work