How to Deploy AI Agents to Production (Live RAG Demo) ⭐

Part of Global AI Builder Series: by The Gen Academy

Hosted by Aishwarya Srinivasan & Arvind Narayan and Rami Krispin

Wed, Sep 9, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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Go deeper with a course

Mastering Agentic AI: Certification by The Gen Academy
Aishwarya Srinivasan and Arvind Narayanamurthy
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What you'll learn

Deploy AI Agents to Production

Learn how to package, deploy, and scale AI agents reliably using containers.

Containerize a RAG Application

Follow a live demo of taking a RAG application from local development to production.

Build AI Apps That Scale

Master production patterns for reliable, portable, and scalable AI applications.

Why this topic matters

Building an AI application is only half the challenge. Getting it to run reliably in production is where most teams struggle. Containers make AI agents and RAG applications portable, scalable, and easier to deploy across environments. This session will cover practical deployment patterns and a live RAG walkthrough to help you ship production-ready AI systems.

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.



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