Build Conversational AI using GPT-4

Build Conversational AI using GPT-4, available at $59.99, has an average rating of 4.61, with 22 lectures, 6 quizzes, based on 37 reviews, and has 316 subscribers.

You will learn about Dive into Conversational AI by understanding the technologies and components that make up a ChatGPT-based solution. Hands-on experience prototyping a ChatGPT-based conversational experience A functional Conversational AI engine prototype demonstrating your chatbot creation skills. Sample Conversation AI training data covering key concepts: utterances, intents, entities, and dialog flow. Customizable Python integration code to further develop your Conversational AI expertise. With tailored course content, were confident participants will gain insights and skills to excel in Conversational AI and ChatGPT This course is ideal for individuals who are Business professionals: Those aiming to improve customer experiences with Conversational AI and explore ChatGPT opportunities or IT professionals: Individuals seeking to deepen their Conversational AI understanding and create user-friendly chatbots or Senior students in Business & IT: Learners aiming to expand their skills in Conversational AI and ChatGPT for career and academic growth or Consultants and service providers: Professionals offering Conversational AI solutions to clients while staying up-to-date with advancements It is particularly useful for Business professionals: Those aiming to improve customer experiences with Conversational AI and explore ChatGPT opportunities or IT professionals: Individuals seeking to deepen their Conversational AI understanding and create user-friendly chatbots or Senior students in Business & IT: Learners aiming to expand their skills in Conversational AI and ChatGPT for career and academic growth or Consultants and service providers: Professionals offering Conversational AI solutions to clients while staying up-to-date with advancements.

Enroll now: Build Conversational AI using GPT-4

Summary

Title: Build Conversational AI using GPT-4

Price: $59.99

Average Rating: 4.61

Number of Lectures: 22

Number of Quizzes: 6

Number of Published Lectures: 22

Number of Published Quizzes: 6

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Dive into Conversational AI by understanding the technologies and components that make up a ChatGPT-based solution.

Hands-on experience prototyping a ChatGPT-based conversational experience

A functional Conversational AI engine prototype demonstrating your chatbot creation skills.

Sample Conversation AI training data covering key concepts: utterances, intents, entities, and dialog flow.

Customizable Python integration code to further develop your Conversational AI expertise.

With tailored course content, were confident participants will gain insights and skills to excel in Conversational AI and ChatGPT

Who Should Attend

Business professionals: Those aiming to improve customer experiences with Conversational AI and explore ChatGPT opportunities

IT professionals: Individuals seeking to deepen their Conversational AI understanding and create user-friendly chatbots

Senior students in Business & IT: Learners aiming to expand their skills in Conversational AI and ChatGPT for career and academic growth

Consultants and service providers: Professionals offering Conversational AI solutions to clients while staying up-to-date with advancements

Target Audiences

Business professionals: Those aiming to improve customer experiences with Conversational AI and explore ChatGPT opportunities

IT professionals: Individuals seeking to deepen their Conversational AI understanding and create user-friendly chatbots

Senior students in Business & IT: Learners aiming to expand their skills in Conversational AI and ChatGPT for career and academic growth

Consultants and service providers: Professionals offering Conversational AI solutions to clients while staying up-to-date with advancements

Conversational AI is very popular today. We see numerous examples all throughout the day.

At home, you may have a home assistant, such as Alexa, or Google Home, or apps such as Google Assistant for setting up appointment.

If you are traveling for work, you may be talking to airline reservation chatbot for travel arrangement or hotel concierge services for hotel reservation.

Conversational AI is every where – home, work – you name it,

If you have an iPhone or iPad, you probably have Siri ready to work at your voice command.

During Covid-19 era, the emphasis on online customer engagement is rapidly increasing and more and more organizations are moving from static web pages to messaging interfaces. How do you start defining a Conversational AI solution that goes beyond simple messaging?

In 2023, we are seeing an unprecedented improvement in conversation quality with ChatGPT. Are you ready to use ChatGPT for your conversational AI solution?

Conversational AI has evolved significantly. Let me tell you all about it. It all started with Eliza in the 1960s, the very first conversation prototype. Fast forward a few years, and we saw structured conversations using bots and expert systems. Then came the big leap forward with natural language classification, Named Entity Recognition, and the rise of intelligent QA systems. The Replika experiment delved into the fascinating world of psychology, helping AI develop chemistry and engagement with users. Soon after, Conversational AI made its way into the commercial world, with big names like IBM Watson Assistant and Google Dialog Flow making waves. And finally, here we are today, with ChatGPT- a state-of-the-art language model that can engage in natural conversations on a wide range of topics.

On behalf of the Applied AI Institute, we are thrilled to welcome you to the “Build Conversational AI using GPT-4” course, a part of our Conversational and Generative AI series. This course is tailored to provide a comprehensive understanding of consultative engagement techniques to enhance end-user experiences by leveraging Conversational and Generative AI technologies, including the powerful ChatGPT.

The course is divided into multiple chapters

Chapter 1 – Introduction will provide overview of course including course objectives, intended outcomes, pre-requisite, course outline with an initial exposure to ChatGPT experience

Chapter 2 – What is conversation AI introduces you to key elements of a good conversational AI solution with an example

Chapter 3 – Set up development environment provides step-by-step instructions on how to set up Open Ai account, including secret key and set of APIs needed for building your first conversational ai solution using ChatGPT. It also created a sample test application for creating a custom recipe using ChatGPT and Dalle.

Chapter 4 – Generative AI Solution provides key concepts, tools and solutions  used in building predictive and generative based conversational AI solutions.

Chapter 5 – Prototype Conversation Generative AI Solution provides step by step instructions on how to design and build a movie recommendation solution using ChatGPT and your proprietary data sets and recommendation engine

Chapter 6 introduces Advanced topics such as Disambiguation, Embedding, Chatbot System Chemistry. It also lists Conversational AI use cases which can be implemented using Generative AI technologies like ChatGPT.

Finally in Chapter 7 we summarize course contents and provide next steps as well as future learning in this area.

To successfully complete and receive certification for the course:

1. Complete all interactive quizzes after each section

2. Download sample training data and code, Complete all class assignment  refine your training data as you go.

With tailored course content, we’re confident that participants will gain insights and skills to excel in Conversational AI and ChatGPT

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Outline

Lecture 3: Quick Prototyping with ChatGPT

Lecture 4: Instructors Bio

Chapter 2: What is Conversational AI

Lecture 1: What is Conversational AI

Chapter 3: Set-up Environment

Lecture 1: Set up OpenAI account

Lecture 2: Test the environment

Chapter 4: Conversational Generative AI Solution

Lecture 1: Conversational AI Concepts

Lecture 2: Generative AI Concepts

Lecture 3: Conversational AI Solution

Chapter 5: Prototype a use case using ChatGPT

Lecture 1: Describe Movie Recommendation Use Case

Lecture 2: Design Movie Recommendation Use Case

Lecture 3: Movie Recommendation Use Case: Build 1

Lecture 4: Movie Recommendation Use Case: Build 2

Chapter 6: Advanced Concepts

Lecture 1: Disambiguation

Lecture 2: Embedding

Lecture 3: Embedding Example

Lecture 4: System Chemistry

Lecture 5: System Chemistry Example

Chapter 7: Summary

Lecture 1: Summary

Lecture 2: Use Case Examples

Lecture 3: Bonus Lecture

Instructors

Neena Sathi
Principal, Applied AI Institute

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2 stars: 0 votes

3 stars: 3 votes

4 stars: 10 votes

5 stars: 24 votes

Frequently Asked Questions

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