Coding interviews are hard and often leet code presents problems in an order that is inherently unstructured, making progress slow. Often times, you'll need to have more basic mastered concepts (e.g arrays) before moving onto something more complex (e.g dynamic programming). This site (https://neetcode.io/roadmap) presents a structured and better organized approach to learning about complex data structures and algorithms.

Check out this fellowship program: https://headstarter.co. It's great for first and second year CS students to bolster their GitHub and get initial exposure to some AI projects. Further, it'll give you some experience writing production code which will put you in a strong position to get interviews.

Hi I am a current sophomore studying CS at UTD. Currently due to the specialties of so many C.S careers I am confused on what I should really focus on in order to acquire an internship in the upcoming summer. I am seeking advice and I am willing to talk to anyone who can help me. Thanks!

Hi, I was wondering if I could be able to get some help with getting myself into the AI industry if possible. Any help would be appreciated thanks.

A lot of really strong self-taught ML engineers learned through fast.ai. I can personally attest to its efficacy. I'd encourage giving it a shot if you're interested in the field and bored during the summer - all you need is a basic understanding of algebra and calculus.