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Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces for voice and text. In this course, you will learn the benefits and technical concepts of Amazon Lex.

If you are new to the service, you will learn how to start with Amazon Lex through a demonstration using the AWS Management Console. You will learn about the Amazon Lex architecture and how its built-in features can help you quickly build sophisticated, natural language conversational bots, or chatbots.

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What's inside

Syllabus

Amazon Lex Getting Started
Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces for voice and text. In this course, you will learn the benefits and technical concepts of Amazon Lex. If you are new to the service, you will learn how to start with Amazon Lex through a demonstration using the AWS Management Console. You will learn about the Amazon Lex architecture and how its built-in features can help you quickly build sophisticated, natural language conversational bots, or chatbots.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Requires no prior experience in Amazon Lex
Introduces you to artificial intelligence (AI) basics for chatbot design and development
Teaches you how to create a chatbot using real-time voice and text
Covers the best practices for designing and building conversational interfaces for voice and text
Instructed by Amazon Lex experts from AWS, ensuring quality training content

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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 Amazon Lex Getting Started with these activities:
Review Fundamentals of Conversational AI
Review the basic concepts and underlying principles of conversational AI to build a solid foundation for the course.
Browse courses on Conversational AI
Show steps
  • Read introductory articles or blog posts about Conversational AI.
  • Watch online videos or tutorials on the basics of Natural Language Processing (NLP).
Explore Amazon Lex Documentation and Developer Guides
Supplement your understanding by exploring Amazon Lex's comprehensive documentation and developer resources, providing in-depth insights into its features and usage.
Browse courses on Amazon Lex
Show steps
  • Visit the Amazon Lex documentation website.
  • Review developer guides on specific Amazon Lex functionalities.
Practice Building Basic Chatbots
Gain practical experience by building simple chatbots using Amazon Lex, which will help you apply the course concepts hands-on.
Browse courses on Chatbot Development
Show steps
  • Create an Amazon Lex account and set up a chatbot project.
  • Design the chatbot's conversation flow and intents.
  • Train and deploy the chatbot for testing.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join Study Groups or Online Forums
Engage with peers and experts by joining study groups or online forums dedicated to Amazon Lex, fostering knowledge sharing and collective problem-solving.
Show steps
  • Search for and join relevant study groups or online forums.
  • Participate in discussions and ask questions to gain diverse perspectives.
Write a Blog Post or Article on Amazon Lex
Solidify your understanding and share your knowledge by creating a blog post or article on Amazon Lex, allowing you to synthesize and articulate key concepts in a structured manner.
Browse courses on Technical Writing
Show steps
  • Choose a specific aspect or feature of Amazon Lex to focus on.
  • Research and gather information from reliable sources.
  • Outline and write your blog post or article, ensuring clarity and organization.
Develop a Virtual Assistant Project
Apply your learning by creating a comprehensive virtual assistant that incorporates advanced Amazon Lex features, demonstrating your proficiency in designing and implementing conversational interfaces.
Browse courses on Virtual Assistant
Show steps
  • Define the virtual assistant's purpose and target audience.
  • Design the chatbot's architecture and functionality.
  • Develop and train the chatbot using Amazon Lex.
  • Integrate the chatbot with other systems or services (optional).
Participate in Amazon Lex Challenges or Hackathons
Test your skills and push the boundaries of Amazon Lex by participating in challenges or hackathons, fostering innovation and showcasing your expertise in conversational AI.
Show steps
  • Monitor Amazon Lex social media channels or online communities for announcements of challenges or hackathons.
  • Form a team or participate individually.
  • Develop and submit your solution within the specified time frame.

Career center

Learners who complete Amazon Lex Getting Started will develop knowledge and skills that may be useful to these careers:
Chatbot Developer
Chatbots, or conversational agents, are software programs that simulate human conversation through voice commands or text chats or both. A Chatbot Developer designs, develops, and maintains these chatbots using natural language processing (NLP) and machine learning techniques. Amazon Lex provides you with pre-built NLP models to quickly build sophisticated chatbots, saving you time and effort in building and training your own models. This course can help you gain the knowledge and skills needed to become a Chatbot Developer, enabling you to create chatbots that provide seamless and engaging user experiences.
Dialog Designer
Dialog Designers create and design the conversational flow of chatbots, ensuring that they can understand and respond to user queries in a natural and engaging manner. Amazon Lex offers powerful tools for designing dialogs, allowing you to create complex conversational flows with ease. This course can help you develop the skills needed to become a Dialog Designer, enabling you to craft chatbots that provide intuitive and satisfying user interactions.
Natural Language Processing Engineer
Natural Language Processing Engineers specialize in developing and applying NLP techniques to solve real-world problems. Amazon Lex provides a comprehensive set of NLP capabilities, making it an ideal platform for NLP Engineers to build and deploy NLP-powered solutions. This course can help you gain a solid foundation in NLP concepts and techniques, enabling you to become a successful Natural Language Processing Engineer.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to solve complex problems. Amazon Lex incorporates machine learning algorithms to power its natural language understanding and generation capabilities. This course can help you build a strong foundation in machine learning principles and techniques, enabling you to become a proficient Machine Learning Engineer who can leverage Amazon Lex to create intelligent and adaptive chatbots.
Conversational AI Engineer
Conversational AI Engineers specialize in designing, developing, and deploying conversational AI systems, such as chatbots and virtual assistants. Amazon Lex is a leading platform for building conversational AI solutions. This course can provide you with the knowledge and skills needed to become a Conversational AI Engineer, enabling you to create and deploy chatbots that can engage users in natural and meaningful conversations.
Speech Recognition Engineer
Speech Recognition Engineers design and develop systems that can recognize and understand human speech. Amazon Lex offers advanced speech recognition capabilities, making it an ideal platform for Speech Recognition Engineers to build and deploy speech-enabled solutions. This course can help you gain the knowledge and skills needed to become a Speech Recognition Engineer, enabling you to create chatbots that can accurately transcribe and understand user speech.
Natural Language Generation Engineer
Natural Language Generation Engineers specialize in developing systems that can generate human-like text. Amazon Lex provides powerful natural language generation capabilities, making it an ideal platform for Natural Language Generation Engineers to build and deploy text-based chatbots. This course can help you gain the knowledge and skills needed to become a Natural Language Generation Engineer, enabling you to create chatbots that can engage users with natural and fluent language.
Artificial Intelligence Engineer
Artificial Intelligence Engineers design, develop, and deploy AI solutions across a wide range of applications. Amazon Lex is a leading platform for building AI-powered chatbots. This course can help you gain a comprehensive understanding of AI concepts and techniques, enabling you to become a successful Artificial Intelligence Engineer who can leverage Amazon Lex to create intelligent and effective chatbots.
Data Scientist
Data Scientists analyze and interpret data to extract insights and make predictions. Amazon Lex generates a wealth of data that can be used to improve the performance and engagement of chatbots. This course can help you develop the skills needed to become a Data Scientist, enabling you to analyze Amazon Lex data and gain valuable insights that can help you optimize your chatbots.
Software Engineer
Software Engineers design, develop, and maintain software systems. Amazon Lex is a cloud-based service that provides a comprehensive set of tools and APIs for building chatbots. This course can help you gain the skills needed to become a Software Engineer who can effectively leverage Amazon Lex to create and deploy robust chatbot solutions.
Product Manager
Product Managers are responsible for the planning, development, and launch of products. Amazon Lex is a rapidly growing product that offers a wide range of features and capabilities. This course can help you gain the knowledge and skills needed to become a Product Manager who can effectively manage Amazon Lex products and drive them to success.
Quality Assurance Engineer
Quality Assurance Engineers test and evaluate software products to ensure they meet quality standards. Amazon Lex provides a set of tools and resources for testing and debugging chatbots. This course can help you gain the skills needed to become a Quality Assurance Engineer who can effectively test and ensure the quality of Amazon Lex chatbots.
Technical Writer
Technical Writers create documentation and other materials to explain technical concepts and products. Amazon Lex provides a comprehensive set of documentation and resources. This course can help you gain the skills needed to become a Technical Writer who can effectively create and maintain documentation for Amazon Lex products and services.
Customer Support Engineer
Customer Support Engineers provide technical support to customers. Amazon Lex offers a range of features and capabilities for building chatbots that can provide customer support. This course can help you gain the knowledge and skills needed to become a Customer Support Engineer who can effectively leverage Amazon Lex to provide excellent customer support.
System Administrator
System Administrators manage and maintain computer systems and networks. Amazon Lex is a cloud-based service that requires minimal system administration. This course can provide you with a basic understanding of system administration concepts and tasks, enabling you to effectively manage and maintain Amazon Lex deployments.

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 Amazon Lex Getting Started.
Provides a comprehensive overview of deep learning techniques for natural language processing. It covers the key concepts and algorithms, as well as hands-on examples to help you get started with deep learning for NLP.
Provides a comprehensive overview of artificial intelligence (AI) techniques for natural language processing. It covers the key concepts and algorithms, as well as hands-on examples to help you get started with AI for NLP.
This classic textbook provides a comprehensive overview of speech recognition, including the key concepts, techniques, and algorithms. It valuable resource for anyone interested in the foundations of speech recognition and AI.
Provides a practical guide to using the Natural Language Toolkit (NLTK) for natural language processing. It covers the key features and functions of NLTK, as well as hands-on examples to help you get started with NLTK.
Provides a practical guide to using natural language processing (NLP) to build real-world applications. It covers the key concepts and techniques of NLP, as well as hands-on examples to help you get started with NLP.
Provides a comprehensive overview of deep learning techniques for natural language processing. It covers the key concepts and algorithms, as well as hands-on examples to help you get started with deep learning for NLP.
This classic textbook provides a comprehensive overview of speech and language processing, including the fundamentals of speech recognition, language modeling, and natural language understanding. It valuable resource for anyone interested in the foundations of NLP and AI.

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