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Getting Started with Amazon Lex

Mike Erickson

Gain the knowledge on how to build in user interactions for the applications you create with this foundational course on Amazon Lex.

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Gain the knowledge on how to build in user interactions for the applications you create with this foundational course on Amazon Lex.

The creation of an interactive and intelligent application is helped by the use of automatic speech recognition (ASR) and natural language understanding (NLU). In Getting Started with Amazon Lex, you will be introduced to the skills required to leverage Amazon Lex to build these user interactions for the applications you create. First, you will learn how to define the intents that the ChatBot will fulfill for the user. Next, you will explore how to create the slots that will gather the required information from your user. Finally, you will discover how to implement Lambda functions that process the information gathered by your ChatBot to complete the desire of your users. When you are finished with this course, you will be prepared to create simple informational bots using Amazon Lex.

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What's inside

Syllabus

Course Overview
Introducing Lex, Amazon Lex
Building Your First Amazon Lex Chatbot
Improving Your Prompts
Read more
Adding Fulfillment
Managing Your Chatbot Lifecycle
Adding Error Handling

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Tailored for beginners, it provides foundational knowledge on building interactive user experiences using Amazon Lex
Mike Erickson's expertise in the field lends credibility to the course
Covers essential concepts like intents, slots, and Lambda functions, providing a comprehensive understanding of Amazon Lex
Focuses on building simple informational bots, making it suitable for those without extensive programming experience

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with Amazon Lex with these activities:
Identify intents and slots in sample chatbot conversations
This drill will strengthen the understanding of intents and slots, which are fundamental concepts in chatbot design.
Browse courses on Intents
Show steps
  • Analyze sample chatbot conversations
  • Identify the intents and slots in the conversations
Build a simple informational chatbot using Amazon Lex
This project will provide hands-on experience in building a chatbot using the skills learned in the course, reinforcing the concepts of intents, slots, and fulfillment.
Browse courses on Amazon Lex
Show steps
  • Define the chatbot's intents and slots
  • Implement the chatbot's fulfillment logic using Lambda functions
  • Test and deploy the chatbot
Show all two activities

Career center

Learners who complete Getting Started with Amazon Lex will develop knowledge and skills that may be useful to these careers:
Project Manager
Project Managers plan, execute, and close projects. This course provides a foundation for understanding how to gather and process information from users, which is a key skill for Project Managers. The skills you learn in this course may help you build a foundation for a successful career as a Project Manager.
Software Developer
Software Developers create and maintain software applications. This course provides a foundation for building applications that can understand and respond to natural language input. The skills you learn in this course may help you build a foundation for a successful career as a Software Developer.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course provides a foundation for understanding how to gather and process information from users, which is a key skill for Data Analysts. The skills you learn in this course may help you build a foundation for a successful career as a Data Analyst.
User Experience Designer
User Experience Designers create products that are easy and enjoyable to use. This course teaches how to build interactive and intelligent applications with Amazon Lex. The skills you learn in this course may help you build the foundation you need for a successful career as a User Experience Designer.
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. This course introduces Amazon Lex, a tool that uses machine learning to understand user intent and extract information from natural language. The skills learned in this course may help you build a foundation for a successful career as a Machine Learning Engineer.
Product Manager
Product Managers create and manage products. This course provides a foundation for understanding how to gather and process information from users, which is a key skill for Product Managers. The skills you learn in this course may help you build a foundation for a successful career as a Product Manager.
Business Analyst
Business Analysts help businesses improve their operations and make better decisions. This course provides a foundation for understanding how to gather and process information from users, which is a key skill for Business Analysts. The skills you learn in this course may help you build a foundation for a successful career as a Business Analyst.
Technical Writer
Technical Writers create and maintain documentation for software and other technical products. This course provides a foundation for understanding how to communicate complex technical information to users. The skills you learn in this course may help you build a foundation for a successful career as a Technical Writer.
Database Administrator
Database Administrators manage and maintain databases. This course provides a foundation for understanding how to gather and process information from users. The skills you learn in this course may help you build a foundation for a successful career as a Database Administrator.
Instructional Designer
Instructional Designers create and deliver training materials. This course provides a foundation for understanding how to create interactive and intelligent applications. The skills you learn in this course may help you build a foundation for a successful career as an Instructional Designer.
Speech Scientist
Speech Scientists research the production and comprehension of spoken language. This course provides a foundation for understanding automatic speech recognition, a key component of applications that use spoken language. The skills learned in this course can help you understand the challenges and opportunities of building applications that interact with users through spoken language, which may help lead you to a successful career as a Speech Scientist.
Information Architect
Information Architects design and organize websites and other digital products. This course provides a foundation for understanding how to create interactive and intelligent applications. The skills you learn in this course may help you build a foundation for a successful career as an Information Architect.
Technical Support Specialist
Technical Support Specialists provide technical support to users. This course provides a foundation for understanding how to communicate complex technical information to users. The skills you learn in this course may help you build a foundation for a successful career as a Technical Support Specialist.
Computational Linguist
Computational Linguists use programming to analyze, model, and represent language. This course introduces Amazon Lex, a valuable tool that leverages automatic speech recognition and natural language understanding to create interactive applications. With this course, you can build a foundation that may help lead you to success as a Computational Linguist.
Natural Language Processing Specialist
Natural Language Processing Specialists collaborate in the creation of intuitive and intelligent applications. This course teaches the foundational skills needed to build these user interactions with Amazon Lex. You will learn how to understand users' intent, and the information you need to gather from them to meet those desires. With this course, you may build a foundation that can lead to a fulfilling career as a Natural Language Processing Specialist.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with Amazon Lex.
Provides a thorough introduction to deep learning for natural language processing. It covers topics such as recurrent neural networks, transformers, and attention mechanisms.
Provides a comprehensive overview of natural language processing with Python. It covers topics such as text preprocessing, feature extraction, and machine learning algorithms.
This concise tutorial provides a quick introduction to natural language processing, covering topics such as text preprocessing, feature extraction, and machine learning algorithms.
Speech and Language Processing classic textbook that provides a comprehensive overview of the field. It covers fundamental concepts in speech recognition, natural language processing, and machine learning, providing a strong theoretical foundation for understanding the principles behind chatbot development.
Provides a collection of research papers on natural language processing and machine learning, covering a wide range of topics such as natural language understanding, machine translation, and speech recognition.
While focused on voice user interfaces, Designing Voice User Interfaces provides valuable insights into designing and developing user-centric conversational interfaces. It covers topics such as interaction design, speech recognition, and natural language understanding, offering valuable insights for those interested in building effective chatbots.
Natural Language Processing in Action offers a practical introduction to NLP techniques and their applications. It covers essential NLP tasks such as tokenization, stemming, and named entity recognition, providing valuable hands-on experience for those interested in building chatbots and other NLP-powered applications.

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