Courses, certifications, and campus programs in real-world AI — for institutions, professionals, and students.
Hands-on, drawn from practice — not theory from the sidelines.
Structured certifications delivered through an academic institution — credentialing, scheduling, and examination sit with the host. Practitioner-designed content, institutional weight behind the certificate.
AI-Enabled Financial Markets · One Saturday · five sessions · online · MCQ exam · certificate + badge. For analysts, advisors, RIAs, and capital-markets professionals.
Explore AEFM →Advanced, deeper specialisation that builds on the Level 1 foundation. Details to follow.
A complete, certified applied-AI module delivered on your campus in a single engagement — no recurring scheduling, a co-brandable certificate, and a project viva that makes the credential defensible. Built to make your finance students AI-native before they walk into a BFSI interview.
GenAI → RAG → Agentic AI core, with two ready domain lanes — Investments & Wealth and Trading & Capital Markets. EGA judgment layer, hands-on labs, and a project viva that gates a co-brandable certificate.
Explore the module →One visit, complete curriculum, real credential. Flat institutional fee with no cap on student numbers. Flexes to your timetable — block or weekly. Placement-relevant: students can defend an AI workflow.
Download the brief →The same spine — generative AI, RAG, and agents — aimed at students who will build these systems, not just use them. Less domain theory, more engineering: how LLM applications are architected, grounded, integrated, and shipped responsibly. A practical alternative to another theory-heavy ML course.
LLM apps & prompt engineering, RAG systems (retrieval, grounding, evaluation), agentic workflows & tool-use (MCP, skills), and shipping responsibly — observability, guardrails, evals.
Explore the program →Job-ready GenAI skills industry is hiring for now. Project-based — students ship a working app. Pairs naturally with existing CS/IT curricula. Build-first: they demo & defend, not submit slides.
See what students build →Hands-on workshops individuals enrol in directly. Real prompts, real charts, working tools you keep — built for people active in the markets right now.
Part 1 · Technical Analysis. Part 2 · Futures & Options. Part 3 · Fundamental Analysis. For active traders, sub-brokers, and aspiring RIAs.
See the series →Online · live · instructor-led. Short, focused sessions, with a working tool you take away. Inaugural cohorts opening soon.
Whatever the room, every program is built on the same four commitments.
Why a practitioner, not a trainer. These programs are taught by someone who builds and governs AI systems for a living — in a regulated industry, with real consequence attached. The content comes from operating the work, not from reading about it. Specialist co-faculty join for specific domain lanes where deeper subject expertise adds value.