Here is a list of ideas I share.
1. Reverse Learning: learn the AI that is useful in the industry today.
2. Practical knowledge: doing one project on GitHub is worth 10 ML courses or books.
3. The best career profile you can have is the T-shaped professional.
4. Your resume is your GitHub profile.
5. The best ML teachers are on GitHub and Kaggle. Contribute to open-source.
6. Top traits: evidence of exceptional ability, derivative of experience, and culture.
7. The biggest predictor of your success is your ability to imitate your mentors.
8. Understand deeply the ML techniques you are using.
9. The best superpower is being curious.
10. Your job is to solve a business problem with AI, not to build fancy ML models.