Industry Project Internship

AI Data Analyst

Build and deploy intelligent AI agents using Retrieval Augmented Generation, manage embeddings and metadata, create efficient LLM inference pipelines, and implement scalable, secure AI on the cloud for accurate, trustworthy data insights.

Short course 4 to 10 weeks 6-week live project Verifiable credential

Overview

What you will learn

  • Explore AI agents and RAG to improve accuracy and reasoning
  • Understand how embeddings capture meaning for fast, accurate retrieval
  • Ingest, annotate and manage structured and unstructured data
  • Build pipelines that give models context and refine outputs into insight
  • Deploy scalable AI agents and RAG systems with performance and security

Why it matters

Why this industry project

A four-week skills-building phase, then a six-week live industry project.

The project

What you will do

A four-week skills-building phase, then a six-week live industry project.

1

Agent foundations and RAG concepts

  • How AI agents process information and make decisions
  • How RAG fetches real facts instead of guessing
  • Hands-on with Claude Desktop to connect agents
2

Embedding strategy

  • Compare embedding models by speed, accuracy and cost
  • Build vector databases with Upstash KV
  • Deploy and test retrieval on Vercel
3

Data curation and metadata

  • Annotate and manage data for better search and filtering
  • Use LLMs to automate annotation and metadata
  • Hybrid retrieval to boost relevance beyond standard RAG
4

Generation and inference

  • Run LLMs locally and online to balance cost and security
  • Summarise, extract key detail and distil results
  • Hands-on with Ollama for secure on-premise LLMs
5

Agent and RAG deployment

  • Deploy agents on Vercel or AWS
  • Manage vector embeddings in Upstash KV
  • Add security layers for Claude and ChatGPT access

Six-week live industry project

After the skills phase you are grouped into a team and paired with a mentor for a six-week live project. In the final week you present your work and learn to showcase it as social proof on LinkedIn.

Tools and frameworks

What you will use

Upstash KV Mixbread embeddings MCP protocol Claude Sonnet ChatGPT Actions GitHub Copilot Vercel AWS Ollama

Digital credential

On completion you receive a digitally verifiable credential through Accredible, so you can share and showcase your achievement online.

Ready to enrol in AI Data Analyst?

Choose your duration and apply. Pay in full or by instalments.