The opportunity
AI demand was moving quickly from broad curiosity toward specific capabilities. The portfolio needed sharper market positioning, program packaging, and a practical operating model for launch and iteration.
Emeritus · AI portfolio
A portfolio-building mandate across Generative AI, Machine Learning, Agentic AI, and RAG: identify the right market signals, turn them into credible learning products, and create an operating rhythm that could compound.
AI demand was moving quickly from broad curiosity toward specific capabilities. The portfolio needed sharper market positioning, program packaging, and a practical operating model for launch and iteration.
Portfolio strategy, program proposition, go-to-market planning, launch execution, growth iteration, and cross-functional alignment across product, content, engineering, academic operations, and sales.
The work combined zero-to-one launches, turnarounds of existing programs, advanced portfolio expansion, and selected global rollouts. The visible program mix includes GenAI, ML, Agentic AI, and RAG.
The portfolio grew from approximately $2M to $8M in run-rate. The key result was not only more programs, but a repeatable way to translate an emerging AI topic into a viable learning-business proposition.
Global partner portfolio
Program portfolio
Named programmes and portfolio groups from a broader 12-program AI learning portfolio developed with university partners in India and abroad.