The blog post discusses the author's unique approach to teaching AI engineering by creating 435 lessons that emphasize building foundational algorithms from scratch before utilizing production libraries. This method demystifies frameworks and enhances understanding for developers. The author reflects on the gap in AI education, emphasizing the importance of combining theory and practical coding in a curriculum. He shares practical examples and invites readers to engage with the curriculum through an open-source GitHub repository.