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Creating event driven agentic document workflows

Instructor led workshop to build event-driven agentic workflow to automate end-to-end document processing pipeline for filling out a form.

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4.7

Rating

10 Hrs

Duration

Advance

Level

10

Assignments

What you'll learn

The architecture for developing agentic document workflow pipelines
How to create AI agents to automatically generates the information extraction pipeline
How to incorporate human-in-the-loop to provide feedback to the agent

Who should take this course

Ideal for anyone with python programming and AI agent knowledge
It is recommended to do the “AI Agent for beginners” training before joining this course

Skills you'll gain

AI agents
Python
Streamlit
LLM
Agentic workflow
Form parsing
Agentic RAG

Course contents

ADW architecture
Automatically creates the document extraction workflow

Parsing the template to identify the fields whose value to be extracted
Generating questions for each field
For each field extracting the relevant context from source document

Provide feedback on the extracted output

Zeta Information Extractor product will be used for demonstration and practice
Evaluating the performance metrics of output

Building AI Browser Agents

This workshop focuses on building AI agents that interact with websites and perform tasks like filling forms, booking tickets or placing an online order.

Extracting structured output from documents using LLM

In this workshop a PDF based Q&A solution will be devloped from scratch, where user can ask question to PDF and get answers.

Developing LLM powered Chat Bot for customer support

Here we will built a context-enabled LLM-based chatbot that will answer all customer queries related to product and services.