I’ve Learned ML/DL from YouTube, But Real Conversations Online Go Over My Head — How Do I Level Up?

I’ve been learning Machine Learning, Deep Learning, and a bit of Generative AI through YouTube tutorials and beginner-friendly courses. I understand the core concepts and can build basic models.

But when I see posts or discussions on LinkedIn, Twitter, or in open-source communities, I often struggle to keep up. People talk about advanced architectures, research papers, fine-tuning tricks, or deployment strategies — and honestly, most of it flies right over my head.

I’d love to know:

How do you move from basic learning to actually understanding these deeper, real-world conversations?

What helped you connect the dots between tutorials and the way professionals talk and work?

Any resources, practices, or mindset shifts that made a difference in your learning journey?