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Autonomous AI Agents in AI Infrastructure

Databricks via YouTube

Overview

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Explore the architecture and design principles for building autonomous AI agents within scalable AI infrastructure in this 19-minute conference talk by Apurva Kumar, Principal Software Engineer at Walmart Global Tech. Learn how autonomous AI agents are transforming industries by enabling systems to perform tasks, make decisions, and adapt in real-time without human intervention. Discover the construction of modular, reusable frameworks and optimization techniques for resource allocation while enabling seamless interoperability between agents and data pipelines. Examine practical use cases and leverage containerization and orchestration techniques to enhance flexibility and performance of autonomous agents while ensuring low-latency decision-making. Address critical challenges including robustness, ethical considerations, and strategies for implementing real-time feedback loops. Gain actionable insights into building autonomous AI agents that drive efficiency, scalability, and innovation in modern AI ecosystems, with focus on practical implementation within enterprise-scale infrastructure.

Syllabus

Autonomous AI Agents in AI Infrastructure

Taught by

Databricks

Reviews

5.0 rating, based on 1 Class Central review

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  • Profile image for Anikori Ezekiel
    Anikori Ezekiel
    The autonomous ai course helped me with understanding the basics of agentic AI and how it works. It helped me to know what it's used for and how industries can use it in their day to day activities. As an machine learning engineer, it was the best!

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