Getting Started with Amazon Lex
Set up your first conversational bot using Amazon Lex and learn the fundamentals of the platform.
Learning Objectives
- Understand Amazon Lex's architecture and capabilities
- Create and configure your first Lex bot
- Define intents, utterances, and slots
- Implement basic conversation flows
- Test and iterate on your bot design
Introduction to Amazon Lex
Amazon Lex is a service for building conversational interfaces into any application using voice and text. It provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, enabling you to build applications with highly engaging user experiences and lifelike conversational interactions.
Key Features of Amazon Lex
Automatic Speech Recognition (ASR)
Converts speech to text with high accuracy
Natural Language Understanding (NLU)
Identifies user intent and extracts data from conversations
Dialog Management
Manages conversation flow and context
Integration with AWS Services
Seamlessly connects with Lambda, CloudWatch, and other AWS services
Amazon Lex uses the same technology that powers Amazon Alexa, making it a powerful tool for creating sophisticated, natural language conversational bots. In this module, we'll explore how to set up and configure your first Lex bot, define its capabilities, and test its functionality.

Figure 3: Key Components of an Amazon Lex Bot
Setting Up Your Amazon Lex Environment
Creating an AWS Account
Before you can use Amazon Lex, you need an AWS account. If you don't already have one, follow these steps:
- Go to the AWS homepage
- Click "Create an AWS Account" and follow the registration process
- Provide the required information and payment method (AWS offers a free tier for new users)
- Complete the verification process
Accessing Amazon Lex
Once you have an AWS account:
- Sign in to the AWS Management Console
- Search for "Lex" in the services search bar
- Select "Amazon Lex" from the results
- Choose your preferred AWS region from the dropdown in the top-right corner (ensure Lex is available in your selected region)
Creating Your First Lex Bot
Bot Configuration
To create a new bot in Amazon Lex:
- From the Amazon Lex console, click "Create bot"
- Choose "Create a blank bot"
- Enter a bot name (e.g., "CoffeeOrderBot")
- Select an IAM role (create a new one if needed)
- Choose COPPA compliance option
- Select session timeout (default is 5 minutes)
- Choose sentiment analysis settings
- Click "Create" to generate your bot
Bot Configuration JSON
{
"botName": "CoffeeOrderBot",
"roleArn": "arn:aws:iam::123456789012:role/LexBotRole",
"dataPrivacy": {
"childDirected": false
},
"idleSessionTTLInSeconds": 300,
"botTags": {
"project": "ConversationalAICourse"
}
}
Creating Intents
Intents represent the actions that users want to perform. To create an intent:
- In your bot's dashboard, click "Add intent"
- Select "Create intent"
- Enter an intent name (e.g., "OrderCoffee")
- Add a description
- Click "Add"
Working with Slots
Slots are parameters that the bot needs to fulfill an intent. For our coffee order bot, we might need information like coffee type, size, and additions.
Creating Slot Types
First, let's create custom slot types:
- In the left navigation, click "Slot types"
- Click "Add slot type"
- Enter a name (e.g., "CoffeeType")
- Add slot type values: Espresso, Latte, Cappuccino, Americano, Mocha
- Click "Add"
Testing and Iteration
Testing is crucial for ensuring your bot works as expected and provides a good user experience.
Using the Test Bot Feature
Amazon Lex provides a built-in testing interface:
- Click "Test" in the top navigation
- Type messages as if you were a user
- Observe how the bot responds
- Check if slots are being filled correctly
- Verify that confirmation and fulfillment work as expected