Tools and first-week setup

The tools a AI Red Teaming intern uses and how to set up your workspace in week one.

These are the main tools for AI Red Teaming tasks. You do not need all of them on day one; the Level 1 tasks tell you when to install each one.

Set up your workspace

Create a free GitHub account if you do not have one, with a professional username, and set up your LinkedIn profile: every task is submitted with a LinkedIn post.
Create one repository for the internship, for example ai-red-teaming-internship, with a README that says who you are and what the repo holds.
Keep one folder per task, named with the task number and title, so mentors find your work quickly.
Commit small changes every day with clear messages. Your daily work report uses these commits as proof.
Never commit passwords, API keys or personal data. Put secrets in a .env file and add it to .gitignore.

Task	What to do
What AI red teaming is	Explain AI red teaming, why it matters, and the rules of ethical testing: only test systems you own or are permitted to test.
How LLMs work	Explain tokens, prompts, system prompts, context windows and why models can be manipulated.
Threat landscape	Summarise the OWASP Top 10 for LLM Applications with one example per risk.
Set up a safe lab	Set up a local test app with a small open model (Ollama) or a sandboxed API key, in a repo named ai-redteam-internship.