AI networking assistant
Finds people by what they do rather than by keywords, then starts the introduction with a voice call.
How matching by meaning differs from ordinary search.
AI products for media and broadcast teams. Thirteen years, from evaluator to product manager.
What Ranjith wrote about the course after Cohort 01. These are real people with real portfolios, not marketing copy. Want to talk to Ranjith? I’ll intro you.
This course has been incredibly eye-opening for understanding the AI landscape and how AI tools work.
I’ve gained solid understanding of LLMs and technical aspects PMs need to master.
Tools like Claude Code have made my work life easier – I can now provide working code to my dev team!
✓✓Understands how AI tools work.
Knows LLMs and the tech PMs need.
Shares working prototypes with the dev team.
Digital Nirvana
Digital Nirvana
Digital Nirvana
Digital Nirvana: AI for media and broadcast
Cohort 01, with 17 other PMs
Finds people by what they do rather than by keywords, then starts the introduction with a voice call.
How matching by meaning differs from ordinary search.
An agent that searches job listings, reads each one and recommends the right roles, step by step on its own.
When a task needs an agent, and when one prompt will do.
A series of chatbots, each a step further: from a basic prototype to one with memory, tools and a database behind it.
What makes a chatbot useful is memory and tools, not the model alone.
Working on AI for media and broadcast.
Ranjith
Vinit Gujarathi
Lokesh Leel
Karine Majdalani
Pradeep Reddy
Vidhika Chakravarti
Raunak Pandey
Shreya Doreswamy
Sambit Kumar Das
Parasa Lakshmi Neeharika
Srinath
Almas Ali
Shyam Saha
Tanmayee Ambekar
Kancherla Guru Prasad
Karthik R Iyer
TP Test participant
A Ajinkya
Every PM from Cohort 01. Tap a face, or meet them one by one.
Eight weekends of building real AI products with a small group of PMs. You leave with a portfolio like Ranjith’s.
Real testimonials, not marketing copy. Want to talk to any of them? I’ll intro you.