Machine Learning based APIs using Nest.js_1

Machine Learning based APIs using Nest.js, available at $19.99, has an average rating of 3.33, with 34 lectures, based on 3 reviews, and has 1007 subscribers.

You will learn about Using chatGPT API as your motor for your own API Creating a basic API Using Nestjs as server builder Getting to get familiar with unit testing This course is ideal for individuals who are Programmers waiting to learn Nestjs or Programmers waiting to learn unit testing or Programmers waiting to learn how to use chatGPT as a tool for their apps It is particularly useful for Programmers waiting to learn Nestjs or Programmers waiting to learn unit testing or Programmers waiting to learn how to use chatGPT as a tool for their apps.

Enroll now: Machine Learning based APIs using Nest.js

Summary

Title: Machine Learning based APIs using Nest.js

Price: $19.99

Average Rating: 3.33

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Using chatGPT API as your motor for your own API

Creating a basic API

Using Nestjs as server builder

Getting to get familiar with unit testing

Who Should Attend

Programmers waiting to learn Nestjs

Programmers waiting to learn unit testing

Programmers waiting to learn how to use chatGPT as a tool for their apps

Target Audiences

Programmers waiting to learn Nestjs

Programmers waiting to learn unit testing

Programmers waiting to learn how to use chatGPT as a tool for their apps

chatGPT is generic enough to make almost unlimited the possibilities when you use its API for building your own API; your imagination may be the limit. With its API, you can have access to several versions from chatGPT, which includes GPT-4; they are also always launching new versions and features. You can change the GPT version with just one line of code, and test different versions for your app, pondering cost vs. effectiveness. Their interface is simple: “text in text out”, even for new versions of the API. Therefore, whenever they have a new release, you can easily test their new versions.

An application programming interface (API) is a way for two or more computer programs to communicate with each other. It is a type of software interface, offering a service to other pieces of software. A document or standard that describes how to build or use such a connection or interface is called an API specification.

On this course, we are going to use Nest.js as base for building an API, based on ChatGPT.

ChatGPT, which stands for Chat Generative Pre-trained Transformer, is a large language model-based chatbot developed by OpenAI and launched on November 30, 2022, notable for enabling users to refine and steer a conversation towards a desired length, format, style, level of detail, and language used.

Even though most of the people are familiar with its public version, for layman usage, it is also available as API. Therefore, one can build their own apps on top of it.

In computer programming, unit testing is a software testing method by which individual units of source code—sets of one or more computer program modules together with associated control data, usage procedures, and operating procedures—are tested to determine whether they are fit for use.

On this course, we shall make unit testing, as an way to teach the concept.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Getting to know our course: details on the curriculum

Lecture 2: Getting in touch

Lecture 3: Organization of the course

Chapter 2: Getting to know better our course

Lecture 1: APIs, backend, and frontend

Lecture 2: What is an API?

Lecture 3: More on APIs

Chapter 3: Getting to know unit testing

Lecture 1: Recap

Lecture 2: Getting to know about software testing and quality

Lecture 3: What is a unit? London vs. classical school

Lecture 4: What is mock?

Lecture 5: Testing, software entropy and regression

Lecture 6: Getting to know Test Driven Development

Chapter 4: Building our API

Lecture 1: Initial details

Lecture 2: Getting ready for action

Lecture 3: Getting to know Nest.js

Lecture 4: Creating our basic elements in Nest.js: a service, a controller, and a module

Lecture 5: Getting to know unit testing in Nest.js

Chapter 5: Making our unit tests to work

Lecture 1: Initial words: it was just a small fix

Lecture 2: Mocking a service

Lecture 3: Why it makes no sense to unit test chatGPT based function

Lecture 4: Unit testing text in text out

Chapter 6: Testing a service

Lecture 1: Initial details

Lecture 2: Testing our service that communicates with chatGPT API

Chapter 7: Making our first contact with chatGPT API

Lecture 1: Recap

Lecture 2: Getting ready to make a call to chatGPT API

Lecture 3: Getting to know the model options from chatGPT API

Lecture 4: Finally talking to chatGPT as an API

Lecture 5: Mocking the HTTP service

Lecture 6: Finally, make a HTTP call to chatGPT

Chapter 8: Homework: now it is your turn!

Lecture 1: Initial details

Lecture 2: Receiving and checking an API key

Lecture 3: Building a dashboard for API key administration

Lecture 4: Getting you inspired: how I have been using the chatGPT API

Chapter 9: Cograts for finishing the course

Lecture 1: Cograts on concluding the course

Instructors

Jorge Guerra Pires
Independent Researcher, PhD

IdeaCoding Lab
IdeaCodingLab: Transforme sua ideia em linhas de códigos

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2 stars: 0 votes

3 stars: 0 votes

4 stars: 1 votes

5 stars: 1 votes

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