How I'd Learn AI (If I Had to Start Over)

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

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 love being provided with the .pdf so I can stop hitting pause, taking notes and turning this into a longer ordeal. Thank you!!

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. 👍🏻

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!!!

Truly appreciate the clarity and simplicity of your presentation! Very valuable. Thanks :)

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.

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 ;-))

I love how you tell us what to learn in specific

Thank you for sharing in such easy-to-understand way. Love your voice too! Keep up the good work!

Excellent video, Thu! Thank you for preparing this - well done!

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!

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!

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. :)

This is simply the most comprehensive and valuable AI Roadmap video I've ever seen! You're truly amazing.

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".

THANK YOU SO MUCH for these insights ! They're very useful. Prepping in Python and Data Science Basics before applying for a vocational school!

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

Can't wait to start learning! Thankyou for this video!!

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.