Is this a good ML learning progression on Coursera?

1. AI for Everyone
2. Python for Everybody (UMich)
3. Applied Data Science with Python Specialization (UMich)
4. Machine Learning (Andrew Ng)
5. Data Engineering, Big Data, and ML on GCP Specialization
6. Natural Language Processing Specialization
7. TensorFlow Developer Professional Certificate
8. Machine Learning Engineering for Production (MLOps) by DeepLearning.AI
9. Deep Learning Specialization
10. Mathematics for Machine Learning Specialization
11. Cloud Computing Specialization
12. Product Management for AI and ML Products Specialization

I’m currently a highschool junior with currently minimal Python knowledge (currently in BC Calc so I do have somewhat of a math background). However, I do own and run a business and in my business space there’s a huge issue I want to solve that affects pretty much every business. But right now obviously I can’t because I don’t have the necessary knowledge.

I do intend to turn this into a startup and pursue AI/ML in college. And I aim to at least start building MVP for startup around June-Sept this year. If startup is not successful then I would still want to be an AI engineer. But is this a good learning progression that I should be able to complete before I start college?