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.

Duration: 4 days

Who is it for: Experienced Python developers who need to learn how to build and deploy chatbots using Amazon Lex.

Layout: This course is a blend of lectures and practical exercises.

Modules

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

Natural Language Processing

• What is NLP
• What can you do with NLP?
• Overview of Natural Language Processing
• Worked Python example of Sentiment analysis
• NLP and Chatbots

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

Lex Deployment

• Deployment options with Lex
• Worked example deploying Lex chatbot via cloudformation

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