I apologize, but the text you provided is quite lengthy. It appears to be a transcript or detailed information about learning artificial intelligence. If you have specific questions or need information on a particular aspect of artificial intelligence or any other topic, please feel free to ask, and I'll be happy to provide a concise response.
1. The speaker is providing a roadmap for learning artificial intelligence. [Source: Page 1]
2. The speaker has been studying artificial intelligence since 2013 and has been working as a freelance data scientist. [Source: Page 1]
3. The speaker shares their knowledge and journey on a YouTube channel with over 25,000 subscribers. [Source: Page 1]
4. The AI market size is expected to grow to nearly 2 trillion US dollars by 2030. [Source: Page 1]
5. The speaker believes that understanding the coding and technical aspects of artificial intelligence is crucial. [Source: Page 2]
6. The speaker emphasizes the importance of learning by doing and reverse engineering. [Source: Page 2]
7. The first step in the roadmap is setting up a work environment and becoming familiar with Python. [Source: Page 2]
8. The speaker recommends learning the basics of Git and GitHub. [Source: Page 2]
9. The speaker suggests working on projects and building a portfolio. [Source: Page 2]
10. Kaggle is recommended as a starting point for learning more about data science and machine learning. [Source: Page 2]
11. The speaker suggests checking out their GitHub repository on Lang chain experiments for those interested in large language models in open AI. [Source: Page 2]
12. Project Pro is recommended as a great resource for learning end-to-end project solutions in data science, machine learning, and big data. [Source: Page 2]
13. The speaker advises picking a focus area, specializing in it, and sharing knowledge. [Source: Page 2]
14. Continuous learning and upskilling are recommended to fill in gaps and specialize in a particular area of AI. [Source: Page 2]
15. The final step is to monetize your skills through a job, freelancing, or building a product. [Source: Page 2]