2–3 Day Bootcamp Structure

A flexible curriculum. You can deliver it as a 2-day intensive or extend to 3 days for more practice and a mini project.

Day 1

Python/JS fundamentals → Frontend basics (React) → Backend (Node.js + DB) → Big Data intro (Hadoop ecosystem, data lake vs warehouse) → Full Stack mini project.

Day 2

Apache Spark basics → Data pipelines (ETL/ELT, batch vs stream) → AI + prompt engineering → LLM API integration → RAG & AI app workflow overview → Capstone demo + certificates.

Day 3 (optional)

Extended capstone: integrate big data pipeline into project, improve features, add evaluation, deployment overview, project presentation checklist, career roadmap, and certificate distribution.

Student outcomes

Working project with big data pipeline experience, GitHub repository structure, documentation, and a clear demo narrative.

Institution outcomes

Standardized delivery plan, lab requirements checklist, and optional assessment rubric.