What they do
They build small but real systems around AI: cleaning data, testing prompts, connecting models to apps, checking outputs, writing simple backends, and documenting what works.
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.
Public accountability
BTech 3rd year. No internships yet. Learning and growing live.
This is not a polished success story after everything works. It is the attempt in public: every study stream, roadmap update, project build, rejection, correction, and small win stays visible so progress has accountability.
BTech 3rd year
No internships yet
Learning live on YouTube
Building proof in public
What is an AI intern?
An AI intern helps a team turn AI ideas into useful working pieces: data prep, prompts, model experiments, RAG flows, small automations, evals, APIs, and product prototypes.
Why AI interns matter
Most companies want AI features, but they need builders who can experiment quickly, understand product context, and ship proof instead of only watching tutorials.
Why become one
It is one of the clearest entry points into modern tech: you learn Python, data, APIs, LLMs, product thinking, and proof-of-work projects that can open internships faster.
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.
Four phases from basics to shipping AI products and applying for internships. Each phase builds directly on the last.
Basics - 1.5 months
- AI Overview - EY AI Skills Passport [Overview]
- DSA - CODE & DEBUG + Leetcode Easy/Medium Questions [ ]
- Python Complete - Ai Python For Everyone (Deep Learning) [ ]
- Prompting - Ai Prompting For Everyone (Deep Learning) [ ]
- SQL - https://www.youtube.com/watch?v=cnzka7kF5Zk [ ]
- FastAPI - https://www.youtube.com/playlist?list=PLKnIA16_RmvZ41tjbKB2ZnwchfniNsMuQ [ ]
Application - 25 days
MINI PROJECTS + SYSTEM DESIGN + FUNDAMENTAL SOFTWARE DEVELOPMENT
Specialization - 1.5 months
- Machine Learning Basics
- Machine Learning Specialization -
- System Design
- LLM - GEN AI, RAG AND ALL
Applying and Capstone Project
Build a capstone project, refine your portfolio, and start applying for AI internships with proof of work.
How to follow along.
Three steps to join the challenge, stay accountable, and build with the community.
Subscribe on YouTube
All live study streams happen at youtube.com/GGshikhar.
Join the Discord
Roadmap PDFs, project prompts, resume templates, resource drops, referrals, and community discussions live inside Discord.
Post your progress
Share what you are learning with #SeedhireAiChallenge so the public record becomes your accountability system.
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.