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Track 11

Generative AI Internship

A focused 3-month remote internship on Generative AI — prompt design, LLM APIs, RAG basics, AI assistants, and shipping a practical GenAI project used in real product teams.

3 MonthsRemote / Virtual
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Mentor and intern collaborating on Generative AI coding and data visualization at a workstation

Technologies

This track focuses on Generative AI products — chat systems, content generation, and LLM-powered features — rather than classical machine learning only.

Generative AILLMsPrompt engineeringOpenAI / Claude / Gemini APIsRAG conceptsPythonAI assistantsLangChain basics

Practical work

  • Prompt libraries and evaluation notes
  • LLM API integrations
  • Simple RAG / knowledge-assisted demos
  • Generative AI feature prototypes

Coursework

3-Month roadmap

01

Month 1 — Generative AI Foundations

LLMs, prompts, and API basics

Students work on

  • What Generative AI is
  • LLM concepts
  • Prompt engineering fundamentals
  • AI API setup and authentication
  • Safe / responsible AI basics
  • Git / GitHub workflow

Student work

  • Practice structured prompts
  • Call LLM APIs
  • Document prompt experiments
  • Submit foundational GenAI tasks
02

Month 2 — Applied Generative AI

Product features with LLMs

Students work on

  • Chat and assistant patterns
  • Content generation workflows
  • RAG concepts and embeddings overview
  • Tool / function-calling concepts
  • Evaluation and iteration
  • Backend integration basics

Student work

  • Build a small AI assistant flow
  • Integrate an LLM into an app feature
  • Prototype a RAG-style retrieval demo
  • Improve prompts based on feedback
03

Month 3 — Generative AI Project

Ship a practical GenAI project

Students work on

  • End-to-end Generative AI project
  • UX for AI features
  • Error handling and rate limits
  • Basic monitoring / logging concepts
  • Final presentation and documentation

Student work

  • Deliver a Generative AI project
  • Document architecture and prompts
  • Receive mentor review
  • Complete internship requirements
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