I am currently pursuing the Deep Learning Specialization. While I understand the concepts taught in the course, I struggle to implement projects independently. When starting a project, I often rely on examples or prompts instead of writing code confidently on my own, even though I understand what the code does.
I would appreciate guidance on how to convert theoretical understanding into strong implementation skills, especially for handling datasets and building real-world projects, and how to become job-ready as a Deep Learning Engineer.
Thank you for your guidance.
Kind regards,
Mohammed Ali Khan