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Deploying an End-to-End Agentic AI Workflow with Ejento

Data Science Dojo via YouTube

Overview

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Learn to deploy a complete agentic AI workflow system from initial setup through real-world enterprise applications in this 48-minute tutorial. Walk through the entire lifecycle of building an agentic AI system, starting with foundational setup and tool integration using MCP (Model Context Protocol). Explore practical implementation through hands-on demonstrations of proposal generation and HubSpot deal data analysis use cases. Discover techniques for iterating and refining AI outputs to improve system performance and reliability. Gain insights into deploying robust, end-to-end agentic AI workflows that deliver practical value in enterprise environments, with guidance from Raja Iqbal, Founder of Ejento, who leads you through each step of the development and deployment process.

Syllabus

Tutorial: Deploying an End-to-End Agentic AI Workflow with Ejento

Taught by

Data Science Dojo

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