Bootcamp Overview
A practical bootcamp for students to learn AI + data workflows used in real companies — not just slides. Designed for schools, colleges and coaching centers.
Duration
2 Days (Weekend), 8 Hours/Day. Optional 3rd day for capstone + deployment overview.
Batch size
30–50 students. Mixed skill levels supported with structured labs and checkpoints.
Format
80% hands-on labs, 20% theory + live coding. Students build continuously during the workshop.
Certification
Completion certificate + GitHub portfolio output (projects + structured repository).
Learning tracks
Programming fundamentals, full stack development, big data & data engineering, and AI/LLM application development.
Free demo
Book a 1-hour live demo for faculty/students before finalizing dates and delivery plan.
AI & Data fundamentals
Python basics, data handling, analytics mindset, and how AI projects are actually executed.
Big Data & Data Engineering
Hadoop ecosystem, Apache Spark basics, ETL/ELT pipelines, data lake vs data warehouse, batch vs stream processing.
Real dataset project
Work with a practical dataset to create useful insights, transformations and clear reporting using modern data tools.
Product output
Build a small API or dashboard and learn how to present the project like a real portfolio case study.
Tools used
Python, Jupyter Notebook, Hadoop, Apache Spark, Streamlit, PostgreSQL, REST APIs, Apache Kafka, and optional cloud deployment overview (AWS).