Developing ChatBots using Amazon Lex
Chatbots are becoming increasingly important for businesses and organisations, and this specialist training course teaches you how to build and deploy chat bots using the Amazon Lex platform.
Prerequisites
- Experience in Python development is a distinct advantage although the course could be delivered with NodeJS
Contents
Introduction to Chatbots
- What is a Chatbot
- Benefits of Chatbots
- Types of Chatbots
- Technology choices
ChatBot UX Best Practices
- Best Practices in Chatbot UX
- Things to avoid in ChatBot UX
Cloud Infrastructure Overview
- Overview of AWS Architecture
- Regions and Zones
- Storage options
- Containers on AWS
- Serverless Architectures with AWS
Security and the Cloud
- Security Overview
- Responsibilities of Cloud provider
- Responsibilities of the cloud Customer
- Securing your infrastructure
- Managing teams access to your infrastructure
Introduction to Amazon Lex
- What is Lex
- Why use Lex
- Examples of Lex
- Integration with AWS Lambda
Introduction to AWS Lambda
- What are Lambda Functions
- Benefits of Lambda Functions
- How to create Lambda Functions
- Example Lambda Functions
Testing Chatbots using Cucumber and Selenium
- What is Behaviour Driven Development
- What is Cucumber
- Defining Features and Scenarios
- Using Cucumber to test Chatbots with Selenium
Incorporating Generative AI
- GenAI and your Lex Chatbot
- Incorporating Bedrock
- Using RAG with your chatbot
- A worked example using RAG and Bedrock
Lex Deployment
- Deployment options with Lex
- Worked example deploying Lex chatbot via cloudformation
