We train university students, job seekers, and career changers for real work in Data and AI — through two structured, mentor-led bootcamps: Data Engineering Foundations and AI Engineering Foundations.
POSTGRES · PYTHON · AIRFLOW · DBT · PGVECTOR
— the exact tools working data & AI engineers use every day
Wherever you're starting from, the path into Data & AI is the same: structured fundamentals, real tools, and a mentor who's done the job.
Ready to take on a professional career and want the fundamentals a degree doesn't teach — the actual tools, workflows, and judgment data teams use daily.
Looking to upgrade existing skills into something the market is actually hiring for, with a portfolio of real, defensible project work to show for it.
Coming from tech or outside it entirely, and want a credible, structured route into Data & AI — without starting from luck or guesswork.
Both run as 15-week, cohort-based programs with the same weekly rhythm — pick the one that matches where you want to end up, or start with Data Engineering and build toward AI.
The core discipline behind every data-driven system — ingestion, storage, transformation, and orchestration, built on Postgres, Python, Airflow, and dbt.
The data discipline behind real AI systems — chunking, embeddings, vector retrieval, and RAG pipelines, not just prompting a model and hoping.
Chozhan D M is Head of AI & Data Platform at a leading European tech company. Years of tech meetups, mentoring through Mentoring Club, and college guest lectures led to one honest pitch: make that same guidance low-cost and structured — not luck-based.
"An excellent engineering leader and a very empathetic mentor — he listened carefully and asked thoughtful questions before sharing advice. I left with much more clarity about my next steps."
— M. Ajay
"He listened attentively and answered every question. I gained a much deeper understanding of the job market, interview processes, and what the data engineering field really expects."
— M. Murugan
"Extremely insightful. We worked through the different paths within data, how my experience could be positioned, and I walked away with a structured, practical next direction."
— A. Kothapalli
Cohorts are small and mentor-led. Reach out and we'll tell you exactly what's involved.