Scaling GitOps for large-scale deployments can be challenging with a single repository or controller. This talk explores sharding as a strategy to optimize performance, improve reliability, and manage complexity in GitOps workflows for multi-environment or multi-tenant setups.

In this hands-on workshop, participants will learn how to develop powerful AI agents that can revolutionize IT infrastructure management through natural language interactions. As infrastructure complexity grows, the ability to leverage AI to simplify operations becomes increasingly valuable. This workshop will guide attendees will build foundation on building AI agents.

Participants will learn:

• Understand fundamentals of LLM (Large Language Models) and AI Agents
• Compare AI agents frameworks
• Building apps using RAG (retrieval-augmented generation) techniques and ChromaDB in Python
• Understand fundamentals of AI agents
• Building AI Agents using LangChain framework in Python
• Building multi-agent applications using advance frameworks like LangGraph
• How to architect and design conversation flows that translate natural language into precise technical operations

This workshop combines practical coding sessions with architectural insights, enabling participants to create their own customizable AI infrastructure assistants. By the end, attendees will have a working prototype they can extend to manage various aspects of their IT ecosystem.

We will start from basics and cover advance topics for building AI Agents with multiple hands on small projects to understand all the concepts.

Suitable for DevOps engineers, system administrators, and developers with basic Python knowledge, this workshop provides the foundation for building the next generation of intelligent infrastructure management tools that dramatically enhance team productivity and system reliability.

Requirements: Basics of Python