The Fifth Elephant
The Fifth Elephant

The Fifth Elephant Pune edition

Call for Proposals

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Hritik Raj

@hritik1 Workshop instructor

Johnu George

@johnugeorge

Aishwarya Raimule

@aishwarya1 Workshop instructor

Accelerating Agentic AI Adoption with Nutanix Enterprise AI - workshop

Submitted Jan 26, 2026

Indicate the track in which your submission fits: Track 1 AI in Software Development Life Cycle (SDLC) Type of submission: Hands-on workshop (1.5 hrs to 3 hrs)

AI Agents can autonomously think, plan and execute with minimal human supervision. AI Agents have shown promising results in improving productivity which is why enterprises are eager to adopt AI agents. AI Agents are designed to handle complex tasks using the underlying model’s reasoning capabilities which are context sensitive and probabilistic. This means sometimes, they can exhibit non-deterministic behaviours.

Enterprises can adopt AI Agents only after addressing the Security, Compliance and Operational concerns with them. They would need full visibility and control over what AI Agents do. There have been cases where Agents have leaked sensitive information or misconfigured environments. Ensuring AI Agents comply with the organization’s IT and Data Access policies is necessary. Building an AI agent that works in a demo is easy. Building one that enterprises can trust in production is a different challenge altogether.

In this workshop, we’ll start with the fundamentals of AI agents, LLMs as the reasoning engine and tools as the execution layer. We will then focus on what separates an enterprise-ready deployment from a proof-of-concept: authentication, role-based access control (RBAC), rate limiting, observability and audit trails. And how these will help enterprises overcome the challenges with AI Agent Adoption. You’ll learn how to leverage Nutanix Enterprise AI (NAI) to deploy production-grade AI agents with minimal operational overhead. We’ll walk through the platform’s streamlined workflows for Model Deployment and Access Control, Secure Inference API Access, MCP (Model Context Protocol) Server Integration, and Regulated MCP Tool Permissions.

By the end of this workshop, you’ll have a clear blueprint for deploying AI agents that meet enterprise security and compliance requirements, maintaining developer velocity.

Key takeaways

  • Understand the core principles of AI agents and how they function.
  • Explore the current challenges enterprises face with adoption of AI Agents and learn how Nutanix Enterprise AI can help address them.
  • Gain practical knowledge on building and deploying AI Agents leveraging Nutanix Enterprise AI.

Level: Intermediate

Prerequisites:

  • Basic understanding of LLMs and how Inference works
  • Basic understanding of MCP

Target audience

  • Software engineers building AI applications for enterprise use
  • IT Admins managing AI Infrastructure and MCP Servers
  • Security and compliance teams assessing AI deployment risks
  • Engineering managers and architects designing AI Agents and AI Platforms

Instructors

  1. Aishwarya Raimule
  2. Hritik Raj
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