InternshipTools and first-week setup
The tools a Artificial Intelligence & Machine Learning intern uses and how to set up your workspace in week one.
These are the main tools for Artificial Intelligence & Machine Learning tasks. You do not need all of them on day one; the Level 1 tasks tell you when to install each one.
- Python
- Jupyter Notebook
- scikit-learn
- pandas
- ChatGPT / Claude / Gemini
- Google Colab
- Git & GitHub
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 artificial-intelligence-and-machine-learning-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.
Your first tasks
| Task | What to do |
|---|---|
| Understand AI and LLM basics | Open the task in your dashboard for the full steps. |
| Learn prompt engineering fundamentals | Open the task in your dashboard for the full steps. |
| Create basic ChatGPT prompts | Open the task in your dashboard for the full steps. |
| Write structured prompts | Open the task in your dashboard for the full steps. |