Machine Learning based APIs using Nest.js

سرفصل های دوره

building a machine learning based app using chatGPT in TypeScript (with unit testing)

1. Introduction

1. Getting to know our course details on the curriculum

2. Getting in touch

3. Organization of the course

2. Getting to know better our course

1.1 Machine learning based APIs using Nest.pptx

1. APIs, backend, and frontend

2. What is an API

3. More on APIs

3. Getting to know unit testing

1.1 Unit Testing.pptx

1. Recap

2. Getting to know about software testing and quality

3. What is a unit London vs. classical school

4. What is mock

5. Testing, software entropy and regression

6. Getting to know Test Driven Development

4. Building our API

1. Initial details

2. Getting ready for action

3. Getting to know Nest.js

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

5. Getting to know unit testing in Nest.js

5. Making our unit tests to work

1. Initial words it was just a small fix

2. Mocking a service

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

4. Unit testing text in text out

6. Testing a service

1. Initial details

2. Testing our service that communicates with chatGPT API

3. Why do we mocked the controller, and not the service.html

7. Making our first contact with chatGPT API

1. Recap

2. Getting ready to make a call to chatGPT API

3. Getting to know the model options from chatGPT API

4. Finally talking to chatGPT as an API

5. Mocking the HTTP service

6. Finally, make a HTTP call to chatGPT

8. Homework now it is your turn!

1.1 Repository as starting point.html

1. Initial details

2.1 HTTP calls in Nest.js.html

2.2 Receiving API keys.html

2.3 Receiving the Bear Token.html

2. Receiving and checking an API key

3. Building a dashboard for API key administration

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

9. Cograts for finishing the course

1. Cograts on concluding the course

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تولید کننده: Udemy