Mastering Claude Cowork: Become an AI-Native Professional
Hosted by Aishwarya Srinivasan and Arvind Narayan
Sun, Apr 12, 2026
3:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
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Sun, Apr 12, 2026
3:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
788 students
Go deeper with a course
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What you'll learn
Understand the shift from chat to agentic AI
Use Claude Code to accelerate developer workflows
Use Cowork to automate knowledge work without writing code
Know when to use which tool — and how they work together
Why this topic matters
You'll learn from
Aishwarya Srinivasan
AI Entrepreneur | Ex-Google, Microsoft
Most Followed Indian Woman in AI | Founder @ The Gen Academy | AI Leader | Ex - Fireworks AI, Google, Microsoft, IBM
Aishwarya has built one of the most trusted AI communities in the world with over 1 Million followers who rely on her to cut through the noice.
She spent a decade building AI at the companies that defined the modern stack Google, Microsoft, and IBM. As the head of AI Developer Relations at Fireworks AI, she worked directly at the interface businesses, builders and the infrastructure powering production-scale AI systems. She holds a Master's in Data Science from Columbia University.
Aishwarya's teaching philosophy is simple: explain the real thing, not the sanitised version. Her sessions are known for being brutally honest, technically sharp, and remarkably clear.
Arvind Narayan
AI Engineering Lead | Founder
Founder @ The Gen Academy | AI Solutions Architect | Ex - Adobe, Microsoft, IBM
Arvind brings a rare cross-company perspective on AI at scale, built across Microsoft, IBM, and Adobe — where he led data science teams and developed production-grade ML solutions tied to significant ARR growth.
He currently serves as AI Solutions Architect at Ema, a leading AI startup focused on agentic enterprise transformation, and is Founder of Eikos Health, an agentic scheduling platform for doctor-led clinics.
Arvind holds a Master's from Carnegie Mellon University. His teaching style emphasizes practical thinking, strong mental models, and translating AI concepts into production-ready solutions.
Previously at