how i would learn AI/ML if i woke up tomorrow and forgot everything i knew (w/ free resources!)

The video provides a clear, actionable roadmap for learning a complex topic (AI/ML) using free resources, which appeals to a broad audience seeking to upskill. The creator also offers to DM the resources directly, creating a personal connection and a clear call to action.

The video outlines a four-step plan for learning AI/ML using free online resources. It suggests starting with Python, then learning algorithms through courses like Stanford's CS229, followed by implementing with scikit-learn, and finally tackling a larger project using MLflow.

30 Days Of Python: This is a GitHub repository that acts as a free course to learn Python. It is used as a resource to learn coding fundamentals. It appears on screen and is mentioned as a resource. Removing it would change the video's content. Stanford CS229 Course: This is a YouTube playlist of video lectures on machine learning. It is used as a resource to learn algorithms. It appears on screen and is mentioned as a resource. Removing it would change the video's content. Scikit-learn intro course: This is a course on how to use the scikit-learn library for machine learning. It is used as a resource to learn implementation. It appears on screen and is mentioned as a resource. Removing it would change the video's content. MLflow: This is a platform used for building reliable AI systems. It is used as a tool for implementing ML applications. It appears on screen and is mentioned as a tool. Removing it would change the video's content.