Learn GPT-3 and build an AI SaaS with Bubble

Learn GPT-3 and build an AI SaaS with Bubble, available at $19.99, has an average rating of 4.05, with 22 lectures, based on 22 reviews, and has 169 subscribers.

You will learn about Learn GPT-3 prompting and parameters Build a paraphraser using GPT-3 playground Convert GPT-3 prompt to API and deploy using AWS Lambda Build a fullstack app using Bubble nocode builder This course is ideal for individuals who are Python developers who want to learn GPT-3 and build full-stack apps It is particularly useful for Python developers who want to learn GPT-3 and build full-stack apps.

Enroll now: Learn GPT-3 and build an AI SaaS with Bubble

Summary

Title: Learn GPT-3 and build an AI SaaS with Bubble

Price: $19.99

Average Rating: 4.05

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn GPT-3 prompting and parameters

Build a paraphraser using GPT-3 playground

Convert GPT-3 prompt to API and deploy using AWS Lambda

Build a fullstack app using Bubble nocode builder

Who Should Attend

Python developers who want to learn GPT-3 and build full-stack apps

Target Audiences

Python developers who want to learn GPT-3 and build full-stack apps

In this course, you will learn about GPT-3, writing prompts in the playground, and converting them into an API using AWS infrastructure.

You will also see how to build a full-stack text paraphraser app using no-code tools like Bubble

Prerequisites:

Strong Python programming skills with basic knowledge of AI are assumed.

Previous experience with Amazon Web Services (AWS) is helpful.

We will begin by understanding GPT-3 and its various parameters that you can modify to get the desired output.

We will create a prompt to do sentence paraphrasing using few-shot examples. We will extend it to see how to parallely call the GPT-3 API to paraphrase multiple sentences at once to build general text paraphraser. 

Later we will see how we can convert the GPT-3 prompt in the playground to code in Google colab.

We will further convert the code in Google Colab to API using AWS Lambda serverless infrastructure. We will use AWS SAM (serverless application model) to make it easy to code and deploy our APIs easily. 

Finally, we will create a UI for our prompts using Bubble no-code tool, integrating the APIs we created earlier.

We will also see how to store user runs in database and throttle usage using Bubble

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Link to Code and resources

Chapter 2: Learn GPT-3

Lecture 1: Introduction to GPT-3 Theory

Lecture 2: Introduction to GPT-3 Playground

Lecture 3: Understanding GPT-3 Parameters

Chapter 3: Build a paraphraser with GPT-3

Lecture 1: Create new paraphrase pairs dataset with GPT-3

Lecture 2: Build a paraphraser in GPT-3 playground

Lecture 3: Sentence paraphraser using GPT-3

Lecture 4: Paraphrase multiple sentences in parallel

Chapter 4: API Deployment

Lecture 1: Introduction to ML Deployment

Lecture 2: Install AWS CLI and AWS SAM CLI

Lecture 3: Sentence paraphraser API on AWS

Lecture 4: Setup text Paraphraser for AWS Lambda container deployment

Lecture 5: Deploy text paraphraser API on AWS Lambda Container Image

Lecture 6: Deploy Question Answering with Provisioned concurrency on Lambda

Chapter 5: Build an AI SaaS with Bubble nocode builder

Lecture 1: Limitations of Streamlit and need for Bubble.io

Lecture 2: Nocode tool capabilties

Lecture 3: Introduction to Bubble Editor

Lecture 4: Input Output Textboxes and Buttons with Bubble.io

Lecture 5: API connector using Bubble.io

Lecture 6: Add Login and Signup Functionality using Bubble.io

Lecture 7: Make database changes and implement fixed runs with Bubble.io

Instructors

Ramsri Golla
Lead Data Scientist (NLP & CV)

Rating Distribution

1 stars: 0 votes

2 stars: 1 votes

3 stars: 3 votes

4 stars: 7 votes

5 stars: 11 votes

Frequently Asked Questions

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