Hands-On Generative AI Project- MCQ Generator and QA System

Hands-On Generative AI Project: MCQ Generator and QA System, available at $54.99, has an average rating of 4.5, with 7 lectures, based on 8 reviews, and has 1105 subscribers.

You will learn about Multiple-Choice Question (MCQ) Generation Scenario Creation: How to generate realistic scenarios based on given documents or datasets. Question Answering: Building systems that can accurately answer questions based on the retrieved information. Integration with AI Models: Combining generative AI models with information retrieval systems to enhance QA capabilities. Project Execution End-to-End Project Development: Steps to develop, test, and deploy a complete MCQ generator and QA system. This course is ideal for individuals who are Beginners in Generative AI It is particularly useful for Beginners in Generative AI.

Enroll now: Hands-On Generative AI Project: MCQ Generator and QA System

Summary

Title: Hands-On Generative AI Project: MCQ Generator and QA System

Price: $54.99

Average Rating: 4.5

Number of Lectures: 7

Number of Published Lectures: 7

Number of Curriculum Items: 7

Number of Published Curriculum Objects: 7

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

Multiple-Choice Question (MCQ) Generation Scenario Creation: How to generate realistic scenarios based on given documents or datasets.

Question Answering: Building systems that can accurately answer questions based on the retrieved information.

Integration with AI Models: Combining generative AI models with information retrieval systems to enhance QA capabilities.

Project Execution End-to-End Project Development: Steps to develop, test, and deploy a complete MCQ generator and QA system.

Who Should Attend

Beginners in Generative AI

Target Audiences

Beginners in Generative AI

Dive into the exciting world of Generative AI with my hands-on project course, “MCQ Generator and QA System: Creating Intelligent Assessments and Answer Systems Using Generative AI.” This course will guide you through leveraging OpenAI’s powerful language models and LangChain to develop sophisticated applications for education and information retrieval, all on your local system.

What You’ll Learn:

OpenAI Language Models: Understand and utilize OpenAI’s advanced language models for generating text and answering questions.

LangChain Integration: Learn how to harness the power of LangChain to connect language models with various data sources and workflows.

Scenario-Based MCQ Generation: Create realistic scenarios and formulate multiple-choice questions with varying difficulty levels.

Building a QA System: Develop a robust QA system that retrieves and processes information to provide accurate answers.

Practical Implementation: Use Python to build and deploy your projects locally.

Streamlit UI Development: Create interactive user interfaces with Streamlit to showcase your AI applications.

Course Highlights:

Hands-On Labs: Engage in practical exercises to solidify your understanding and skills.

End-to-End Project: Work on a comprehensive project, from conceptualization to deployment.

By the end of this course, you will have the knowledge and skills to create intelligent MCQ generators and QA systems using the latest advancements in Generative AI, OpenAI, and LangChain, preparing you for a career in AI and machine learning.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Demo

Lecture 2: Introduction

Lecture 3: Understanding on OpenAI and Langchain

Lecture 4: Setting up pycharm

Lecture 5: Building QA System

Lecture 6: Building MCQ Generator

Lecture 7: Building Final Product

Instructors

Mohammed Zeeshan A
Security Architect

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 1 votes

5 stars: 5 votes

Frequently Asked Questions

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