In this Amazon Lex course, you will be guided through an in-depth study of the Amazon Lex service. We review where and when to use this service to best effect. We'll go over Chatbots in general and why they have become both useful and popular. You will be introduced to the key features and core components within the Amazon Lex service. We spend time understanding and reviewing Amazon Lex Bots, Intents, Utterances, Slots, and Slot Types.
We focus on the developer workflow and how Amazon Lex integrates seamlessly with other AWS services. We take a look at and review the capabilities of the Amazon Lex API and associated SDKs. We review Versioning and Aliases and how they facilitate development within the Amazon Lex service. Finally, we walk you through building a fully functional chatbot implemented using the Amazon Lex service, which when completed will allow you to start and stop EC2 instances.
- Understand the basic principles of Amazon Lex for building Conversational Interfaces
- Learn how to effectively use Amazon Lex to manage and maintain your own chatbots
- Recognize and explain how to perform all basic Amazon Lex related tasks such as configuring Intents, Slots, and Lambda functions (code hooks)
- Understand IAM security permissions required for Amazon Lex to interact with other AWS services such as EC2
- Be able to competently manage Amazon Lex using the AWS console
- AWS Administrators
- Software Developers and Engineers
To be able to get the most out of this course we recommend having a basic understanding of:
- AWS Lambda
- Software Development
- Basic understanding of Python
The example code used within this course can be found here:
Related Training Content
After completing this course we recommend taking the 'Introduction to Amazon Rekognition' course.
To discover more content like this, you will find all of our training in the Cloud Academy Content Training Library.
Welcome back. In this lecture, we'll do a quick review of the entire course, and summarize what you've learnt. We provided a quick review of Chatbots, and why they've become popular in recent times. We reviewed the complete Amazon Lex service, and the machine learning technology used within. We provided an understanding of key components and terminology as used within Amazon Lex. We reviewed suitable use cases and scenarios in which Amazon Lex can be applied effectively. We focused on the developer workflow used to build Amazon Lex Chatbots. We examined how Amazon Lex integrates seamlessly with other AWS services. We looked at, and reviewed, the capabilities of the Amazon Lex API and associated SDKs. Finally, we walked you through building a fully functional Chatbot implemented using the Amazon Lex service.
Thank you for your participation. We do hope that you have enjoyed this course on Amazon Lex. Feel free to send any feedback and/or questions at firstname.lastname@example.org, or alternatively, you can always get in touch with us here at Cloud Academy using the community forum, where one of our cloud experts will reply to your question.
Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.
He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.
Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).