🚀Join My Skool Community (FULL Templates u0026 more) – https://www.skool.com/ai-automations-for-sales

Sign up to ChatGPT – https://chat.openai.com
Sign up to Deepseek – https://www.deepseek.com
Sign up to Genspark – https://www.genspark.ai/
Sign up to Apify – https://www.apify.com?fpr=bkjm1
Sign up to Claude – https://www.anthropic.com
Sign up to Make – https://www.make.com/en/register?pc=jakedawson
Sign up to Gemini – https://www.gemini.com

In this video, I show you how to fully harness the power of AI by understanding the core principles of effective AI usage with tools available in 2025.

This system leverages AI to enhance productivity and decision-making by translating experienced judgment into actionable insights, transforming tradition into innovative outcomes.

Key components include:
== ChatGPT for natural language processing and content generation
== Claude for advanced linguistic analysis
== Gemini for data analytics and trend spotting
== Apify for automating web scraping tasks

I guide you through setting up your AI-driven learning path step-by-step:
== Use ChatGPT to explore and understand new AI concepts through conversation.
== Leverage Claude for deep-dive analysis on AI developments and their implications.
== Use Gemini to analyze data sets and identify valuable insights.
== Employ Apify to automate information gathering across the web.
== Coordinate your learning schedule with Make to optimize your time effectively.

With this AI-powered system, you can quickly adapt to the next wave of AI advancements and integrate them into your workflow efficiently.

I share real examples, including how experienced professionals like Sarah use these tools to amplify their industry knowledge and provide bonus tips to help you maximize your AI learning curve in 2025.

If you want to automate your learning processes with AI while maintaining quality and engagement, this tutorial is for you.

Let me know in the comments below if you have any questions!

Check out HubSpot's AI Adoption Playbook – https://offers.hubspot.com/ai-adoption-checklist

In this video, I've talked in detail about all the different concepts you need to learn to become an AI Engineer.

I've shared important resources and tips that will help you get started in your journey of learning AI.

AI is a fascinating field, and if you can invest just one hour every day for 90 days, you will be able to build your own custom GPTs, deploy large language models, create applications, and in general have a basic understanding of how things work.

Resources –
Best YouTube Channel to Learn Basic Math Concepts – https://www.youtube.com/@khanacademy
https://www.youtube.com/@3blue1brown

Python playlist – https://www.youtube.com/playlist?list=PLzMcBGfZo4-mFu00qxl0a67RhjjZj3jXm
Python full course – https://youtu.be/rfscVS0vtbw?si=UB94aPRtvGdzqClN

freeCodeCamp Masterclass on DataScience – https://youtu.be/r-uOLxNrNk8?si=1WzkP47ezoV4MU32

Kaggle – https://www.kaggle.com/

Cs50 course on AI – https://cs50.harvard.edu/ai/2024/

Neural Networks full playlist – https://www.youtube.com/watch?v=aircAruvnKku0026list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

Building with LLMs – https://www.youtube.com/watch?v=VMj-3S1tku0u0026list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ

Make sure to take notes and watch till the end.

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CHAPTERS:-
00:00 – WATCH TILL THE END
00:40 – Basics of AI
00:53 – Important Maths Concepts to Learn
02:06 – Master Python
03:00 – Data Science
05:11 – Basics of Machine learning
18:06 – Unsupervised learning
19:59 – Reinforcement learning
22:09 – Neural Networks
27:25 – Basics of Generative AI
30:34 – Conclusion

😁 About Me: https://bit.ly/aboutishansharma
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📝 LinkedIn: https://bit.ly/ishansharma7390li

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✨ Hashtags ✨
#ai #artificialintelligence #aiengineer

Here's the roadmap that I would follow to learn artificial intelligence (AI).
📚 Get the FREE roadmap here ➡️ https://bit.ly/data-alchemy

Already got tech skills and want to start as a freelancer?
🛠️ Let me show you how: https://www.datalumina.com/data-freelancer?utm_source=youtubeu0026utm_medium=videou0026utm_campaign=youtube_video_trafficu0026utm_content=How%20I%27d%20Learn%20AI%20in%202024%20%28if%20I%20could%20start%20over%29

⏱️ 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?

🛠️ Explore ProjectPro
https://bit.ly/3q837w8

👋🏻 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.

✔️ How I manage my business and dev projects
https://try.web.clickup.com/datalumina

📥 Datalumina's Newsletter
https://www.datalumina.com/newsletter

#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.