[Python] How to Efficiently Learn AI/ML and Algorithms for Placement in Product-Based...

I’m an AI/ML enthusiast currently focused on mastering Machine Learning and various algorithms. As I dive deeper, I’ve realized that the field is vast with numerous technologies, concepts, and tools to cover. I’m struggling to figure out how to structure my learning efficiently to avoid feeling overwhelmed and to ensure I am industry-ready.

I aim to get placed in product-based companies that value problem-solving, system design, and deep technical expertise.

Could you please help me with:

A structured roadmap to properly learn AI/ML and algorithms

Recommended high-quality resources (free or paid)

Practical project ideas to strengthen my portfolio

Key focus areas for product-based companies

Suggestions on how to balance theory, coding, and system-level understanding

Any advice, study plans, or personal experiences would be highly appreciated. I’m open to disciplined, long-term learning strategies.

Thank you!

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