My Self-Created Artificial Intelligence Master's Degree | Learning Intelligence 0

Daniel Bourke is building his own AI master's degree using Udacity's Nanodegree, Russell & Norvig's textbook, and online courses. He's combining AI with health and fitness expertise to create real-world value, studying six to eight focused sessions daily at a standing desk.
Chapters
What's going on, learners? And welcome to my learning intelligence vlog series. Or in other words, a vlog series where I document my self-created artificial intelligence master's degree. First of all, why am I learning about artificial intelligence? Well, not only is AI slowly creeping its way into every industry in the world right now, but it fascinates me. And I think that's the most important piece. That's why I'm learning it, is because I'm truly interested in it, and I'm truly interested in using it as a tool to bring value to the rest of the world. So how am I learning all this? Well, I've created my own artificial intelligence master's degree. And now, it's not official or anything, but my goal is not the certificate at the end of a degree. My goal is to get the skills that are required to use these tools or use artificial intelligence as a tool to bring value to the world. I want to combine artificial intelligence with my knowledge of health and fitness to help the world move more and eat better. To start off with, I'm going through Udacity's artificial intelligence Nanodegree program. That'll form the base foundations of the whole thing, and then following on from that, I've stitched together some other online courses that are sort of the cutting edge in terms of artificial intelligence education, as well as this book here, which is like the Holy Grail, or the equivalent of the Bible for artificial intelligence. Check it out. Artificial Intelligence: A Modern Approach by Stuart J. Russell and Peter Norvig. And then, of course, a whole bunch of other resources like Siraj Raval's videos. If I said that right, Siraj Raval. He's amazing. You got to check him out. I'll put the links in the description to all this stuff, by the way. And then, various other books and articles and online— anything I can find online. Essentially, I just didn't want to go back to university. And you can read more about it in the blog post I put up on Medium, and that'll be in the description too. So, let me show you a bit of our room. Where am I learning? It's all happening from here. That's my standing desk. This is like a yoga mat, a large yoga mat that I stand at. I spend most of my time here learning, taking notes in Evernote as well as pen and paper, traditional. And we come over here. This is alongside Trello, my personal assistant whiteboard. I try to get at least 8 Pomodoros through per day. If you're not familiar with the Pomodoro technique, it's essentially a 25-minute uninterrupted block and my goal is to do at least 6 to 8 of those on some sort of learning per day, because I find after that, the learning— it's the law of diminishing returns. Anything after 6 to 8 Pomodoros for me, it's— the learning, the retention is just not there. Where can you find out more? Well, most of the stuff about me is on my website, mrdbourke.com. Otherwise, feel free to email me at any time, daniel@mrdbourke.com. My YouTube channel, You're on it. Or Twitter and anywhere on social media, my handle is always @MrDBurke, so you can find me there. Otherwise, leave a comment if you'd like to see anything else. And what can you expect from this series? Well, I'm going to be doing weekly vlog videos. I've already got a few up that you can see, so this is sort of like a, I don't know, a Star Wars equivalent, like I'm doing Episode 0 after doing Episode 2, which is kind of backwards, but hey. It works. How can you help out? Well, first of all, if you subscribe to my channel, that'd mean the world to me. I'm trying to bring out one of these videos at least every week, as I said before. Otherwise, leave a like on the video so the YouTube algorithm can shoot them out to the rest of the world. And if they're not bringing you value, leave a comment. How can I improve for the next one? I'm doing this every week, so I'd love to implement your feedback, implement your advice. Otherwise, I've got a Patreon page. I'll link that in the description as well. You can throw in a dollar per month and help me out on this artificial intelligence learning journey. I want to bring you along with me. Let's cause a ruckus!
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Benchmarking: NVIDIA DGX Spark & NVIDIA RTX 4090 | Part 2 - Formalizing the tests

Benchmarking: NVIDIA DGX Spark & NVIDIA RTX 4090 | Part 1 - Creating a series of tests

Local Multimodal RAG on the NVIDIA DGX Spark | Part 4 - Publishing our demo to Hugging Face

Local Multimodal RAG on the NVIDIA DGX Spark | Part 3 - Putting it all together


