The number one excuse we hear from AI internship applicants: 'I don't have enough experience.' Here's the truth: in 2026, you don't need a degree or prior role — you need the right portfolio and the right skills. This guide gives you both.
What Recruiters Actually Want
When we review internship applications at Eapps Global, we're looking for three things: evidence of independent learning, a project that demonstrates real problem-solving, and communication skills. A 2:1 from a top university is nice — but it's not required.
The 5 Core Skills You Need
- Python basics — data manipulation with Pandas, API calls
- Prompt engineering — structured prompts, chain-of-thought, few-shot examples
- n8n or Make — build at least one working automation workflow
- SQL — basic queries for data analysis
- Communication — written and verbal, including explaining AI to non-technical people
Building Your Portfolio in 30 Days
Spend one week per project. Build a WhatsApp chatbot with n8n, a sentiment analysis tool with OpenAI, a data dashboard with Python, and a LinkedIn automation. Document everything on GitHub. Link to our internship programme — we hire from our own applicant pool.
The Application Formula That Works
Subject line: '[Role] Application — [Your Name] — [Specific Project Name]'. First paragraph: one sentence on who you are, one on your best project, one on why this company. Attach a 1-page CV max. Link your GitHub. That's it.