How I'd Learn AI in 2024 (if I could start over)

Here's the roadmap that I would follow to learn artificial intelligence (AI).

⏱️ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?

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👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.

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✔️ How I manage my business and dev projects

📊 How I'm using data to track my health

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#ai #roadmap #datalumina

📌 Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.

With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.

The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.

Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.

For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.

[daveebbelaar]

Thank you all for more than half a million views! 🙏🏻

[jamesmartin]

55 year old and have started using AI in my job, no one else in the company is using it or trying it out. Scary to start something as a beginner but everyone started somewhere

[Zale]

00:14 📚 Focus on learning the technical aspects of AI, rather than relying solely on no-code tools.
01:09 👩🏻‍💻 Understand the breadth of AI and its subfields, including machine learning and deep learning.
03:45 🛠 Set up a work environment and become proficient in Python and key libraries like NumPy, Pandas, and Matplotlib.
08:45 🖥 Gain experience by working on projects, reverse engineering code, and building a portfolio.
13:21 🎯 Choose a specialization in AI and share knowledge through blogging, writing articles, or creating videos.

[jokosalsa]

Dave, well said. I praise your maturity in calling out very clearly all that no-code hype from other YT channels, and that you have to learn to code.

[samratsudeepchoudhary]

I am watching your Fitness Tracker playlist. It's awesome. I really appreciate such full projects where the thought process is also explained. Need more please.

[WahabAwudu]

Thanks, man. As a full-stack web developer, I now feel like AI can essentially transform me into a super engineer given the possibilities AI has for both no-code and coded projects. Thanks for this roadman, Dave.

[seanbergman]

Thanks for this video! It is exactly what I've been looking for. I'm planning a career pivot into the AI/ML field after spending 20 years as a tech HW product manager. I've felt a strong urge to become more of a solo individual contributor, or possibly a project founder in time, and like your description of freelance data scientist. I've been actively learning Python, and this helps sketch out a roadmap for the next steps.

[abduaatif]

literally this is the most useful stuff i watched on data science and ai ml topic which cover everything perfectly. u deserve my sub man. keep it up. love ur content.

[lixiasong]

Dave, your AI roadmap video has me truly excited! As someone who's not completely new to the field, I find your insights incredibly valuable. I've admired your work for a while, and now, more than ever, I'm looking forward to joining your community and engaging with like-minded enthusiasts. Keep leading the way in AI, and thank you for creating such an inviting and educational space! #JoiningDave'sCommunity

[truchongviet]

Thank you, Dave! This is such an informative walkway to-do list! 😊

[Pazellzi]

This is a really well made roadmap and video! Good luck on your YouTube career!

[GeobotPY]

Great vid! Love that you point out the disadvantages of Bopress, Flowise and other no-code/low-cod tools. Although they are great tools they lack some customizability -a lot of Botpress bots I have seen on youtube from AI automation agencies Youtubers are just funnels within in a chatbot with a not-so-very-impressive AI element. Love that you point out AI is more than that and where real value for businesses is found!

[almightyblazettv]

Thank you man, you said what I needed to hear. I'm in college and I needed the push to keep going to finish my masters in AI.

[kgsriram]

I am 42 and a Data Science & AI aspirant! I am going to take the guidance from Data Alchemy in this knowledge pursuit and becoming a student again! Thank you Dave! This generation is way better wired than what people think!

[clerpington_the_fifth]

I'm glad you don't sugar coat it by watering down the need for learning the coding and math aspects of machine learning and AI. Thank you.

[perezpepito]

Dave, well said.I praise you in calling out very clearly all that no-code and low code are adequate solutions as a goal, and that you do not have to learn to code.

[Benemortasia]

Ik kijk nu denk ik al paar maanden praktisch alles wat ik tegenkom rond deze onderwerken, heb dit pas een keer eerder kunnen zeggen. Deze video is niet zoals al die andere die zoveel op elkaar lijken, je steekt er daadwerkelijk wat van op, tnx kerel.

[hausofwonder]

I just want to say thank you so much for this video. You and I have the same learning style. You really answered some of the questions I have had trying to get into IT. My life has taken a drastic turn so in learning something new.

[arhabhasankhan]

Youtube recommended me this video.
I am grateful for this.
Great video. Thanks.
Now, I am subscribed to this channel.❤

[newviolet]

I absolutely love this approach! I went through traditional way to learn and I’m now stuck in projects and have no idea how to download projects from Git. I wish I have found this video earlier