Industry-aligned curricula in AI, Data and Software — designed by Siffrum Analytics engineers and updated every quarter.
Become job-ready as an ML / AI engineer. Covers Python foundations, statistics, classical ML, deep learning, NLP, computer vision and modern Generative AI / RAG systems.
From data wrangling and EDA to ML pipelines, model deployment and basic MLOps — taught with real datasets used in our consulting work.
Become an analyst recruiters want. Master SQL, advanced Excel, Power BI and Tableau — and learn how to tell stories with data.
DSA, system design fundamentals, Git, modern full-stack web with React + PHP/Node — and the engineering hygiene every product team expects.
Cloud fundamentals, IAM, networking, compute, storage, databases — plus containers, Kubernetes and CI/CD pipelines used in modern cloud teams.
Talk to our admissions team for a free 15-minute counselling call.