1/10 Introduction
2/10 Introduction

You were introduced to the NLP architecture on Google CLoud.

You started from the NLP foundation, which refers to Google Cloud infrastructure and data engineering tools.

3/10 Introduction

You then explored the NLP development platform.

4/10 Introduction

You also learned about NLP solutions, which include two groups: horizontal solutions that apply to any industries, and vertical solutions that focus on select industries.

5/10 Introduction

When discussing the NLP development platform, you mainly explored the pre-built APIs such as the Dialogflow API.

6/10 Introduction

In this section, you will focus on the other two tools in Vertex AI to develop NLP projects:

  • AutoML, which is a no-code solution, and

  • custom training, which is a code-based solution.

7/10 Introduction

You’ll start with an overview of the three options to build NLP projects on Google Cloud,

8/10 Introduction

and then you’ll be introduced to Vertex AI, the AI development platform provided by Google.

9/10 Introduction

After that, you’ll explore AutoML and custom training respectively.

10/10 Introduction

In the end, you’ll explore the end-to-end workflow to develop an NLP project with AutoML and practice what you learned in a hands-on lab.