I want your help developing a learning plan document in Markdown format for a topic I choose.

I have added to the Project Files a learning plan (example_learning_plan.md) you helped me develop for a specific objective. This represents a "gold standard" output for other learning plans.

Note the following important characteristics about this example learning plan:
1. You combined parts of multiple resources
2. You considered free resources but also suggested paid enhancements or alternatives
3. You looked at the contents of each resource (e.g. nand2tetris) and specified the subset of content directly relevant to my learning objective and told me to skip the remainder that was less relevant to my learning objective
4. For resources structured as a course already, you did not use the course-suggested schedule (e.g. nand2tetris) but instead estimated a pace based on the 1 hour/day guidance I gave you, plus your understanding that video lectures could be played at 1.5x speed
5. You included a "why this matters" section for each component, and explicitly linked the content to my learning objective
6. You gave specific actionable guidance on how to breakdown the content day by day

You should produce a learning plan for this topic in a similar format and structure. You should try to achieve the same important characteristics that I liked about the example learning plan. You are encouraged to ask me clarifying questions along the way, if the answers to those questions will help you produce a better learning plan.

Additional information you've asked me about in similar tasks:
a. I prefer watching video content over reading, and I prefer doing small project-based work over reading. I can enjoy dry, academic lecture videos as well as technical conference presentations. I don't enjoy reading code and documentation, but will do it if it's the best option available for my learning objectives.
b. Doing small build tasks, whether coding or otherwise, can be the most efficient way to learn some topics. For other topics, building is inefficient (e.g., understanding vector database cost structures), and you should use architectural analysis exercises instead.
c. Please consider foundational prerequisites like underlying mathematical theory that I may be overlooking or perhaps unaware of. For example, in an AI context, you suggested an overview of neural networks and statistical foundations as optional theoretical underpinnings to add, which was a great idea and I asked you to add them in that plan.
d. I am open to paid courses and other resources. I do not mind paying for convenience and/or a better learning experience. In fact, in the example learning plan, the nand2tetris course you suggested is available for free but I chose to pay $50 for it through Coursera because I judged that the LMS-style structure was more conducive to my learning depth and pace.