How to Deploy AI Agents to Production (Live RAG Demo) ⭐
Part of Global AI Builder Series: by The Gen Academy
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Hosted by Aishwarya Srinivasan & Arvind Narayan and Rami Krispin
Wed, Sep 9, 2026
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
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Wed, Sep 9, 2026
4:00 PM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course
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What you'll learn
Deploy AI Agents to Production
Containerize a RAG Application
Build AI Apps That Scale
Why this topic matters
You'll learn from
Aishwarya Srinivasan & Arvind Narayan
AI Engineers | Building & Teaching @ The Gen Academy
Aishwarya Srinivasan is the co-founder of The Gen Academy and one of the world's most recognized AI educators, with a community of over 1.2 million AI professionals across social platforms. Previously, she led AI Developer Relations at Fireworks AI and spent over a decade building AI products and ecosystems at Google, Microsoft, and IBM. She holds a Master's in Data Science from Columbia University. Known for breaking down complex AI concepts with clarity and honesty, Aishwarya teaches builders how to move beyond demos and develop production-ready AI systems that solve real business problems.
Arvind Narayanamurthy is the Co-founder of The Gen Academy, Previously AI Solutions Architect at Ema, and Founder of Eikos Health. He has built and deployed enterprise AI systems across Microsoft, IBM, Adobe, and high-growth startups, leading initiatives that translated machine learning into measurable business impact. Arvind holds a Master's degree from Carnegie Mellon University. His teaching focuses on first-principles thinking, practical engineering, and helping builders design, evaluate, and deploy reliable AI systems for production.
Rami Krispin
Senior Manager, Data Science & Engineering | Docker Captain | LinkedIn Learning
Rami Krispin is a Senior Manager of Data Science and Engineering, a Docker Captain, and a LinkedIn Learning Instructor with over a decade of experience building and leading data and AI teams in production environments.
Working at the intersection of machine learning, engineering, and developer tooling, he brings a rare perspective on turning research-grade AI into systems
that teams can actually trust and businesses rely on.