AI Internship Challenge

6 months in public to crack an AI internship.

I am studying live on YouTube, sharing the roadmap, publishing the resources, building proof projects, and growing a student community that prepares together instead of guessing alone.

What this challenge is.

A transparent sprint from beginner-to-serious AI internship candidate, with every useful resource and mistake documented for other students.

DailyLive study, implementation, notes, and progress logs.
WeeklyRoadmap checkpoints, project reviews, and resource drops.
PublicEverything important is shared: wins, gaps, failures, fixes.
ProofThe target is projects and internship readiness, not passive watching.

AI intern roadmap.

Three phases from basics to shipping AI products. Each phase builds directly on the last — no detours.

Phase 1 — Basics · 1.5 months

  • DSA — Chai With Code DSA + Leetcode Questions
  • Python — AI Python For Everyone (Deep Learning)
  • Prompting — AI Prompting For Everyone (Deep Learning)
  • Docker Basics
  • SQLyoutube.com/watch?v=cnzka7kF5Zk
  • FastAPIFastAPI playlist

Phase 2 — Application · 15 days

Build a real-world AI application end-to-end using the basics from Phase 1. Details coming live on stream.

Phase 3 — Specialization · 1.5 months

  • Machine Learning Specialization
  • System Design
  • LLM — Gen AI, RAG, Agents

How to follow along.

Three steps to join the challenge, stay accountable, and build with the community.

Subscribe to the YouTube channel

All live study streams happen at www.youtube.com/GGshikhar. Subscribe so you don’t miss a single stream — every session is a building block toward the internship.

Join the Discord server

All resources, community discussions, and referrals are shared in the Discord: https://discord.gg/UtPZHFahe9. Get the roadmap PDF, project prompts, resume templates, and connect with other students preparing together.

Public accountability

Make a post on any social media with the hashtag #SeedhireAiChallenge. Share what you’re building, what you’re learning, or why you joined. Public posts keep you accountable and help more students find the challenge.

Public accountability

Watch the attempt. Use the roadmap. Build alongside it.

This challenge is the record of trying to crack an AI internship in public while making the path easier for the next student. The stream is the accountability layer; the community is the multiplier.