This course offers a comprehensive guide to creating intelligent chatbots using Amazon Lex. It begins with an introduction to Amazon Web Services (AWS), explaining how cloud services can enhance chatbot development. You'll explore key AWS offerings, their flexibility, and scalability, and learn the core components of building and deploying chatbots. The journey starts with understanding the basics of Amazon Lex bots, their architecture, and their integration within the AWS ecosystem.
Recommended experience
What you'll learn
Understand the fundamental principles of Amazon Lex and AWS Lambda for chatbot creation.
Apply AWS services to build and deploy scalable chatbots integrated with platforms like Twilio.
Analyze and improve chatbot performance by designing effective flows with intents and slots.
Create chatbots and deploy them on websites and messaging platforms using Python's Boto library.
Skills you'll gain
Details to know
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October 2024
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There are 3 modules in this course
In this module, we will explore the foundations of chatbot development using Amazon Lex. We will start with an overview of the course and the instructor, followed by an introduction to AI Sciences and its role in providing high-quality, tech-based education. This section will also outline the key tools and services you will master during the course, including AWS, Lex, and Lambda.
What's included
4 videos1 reading
In this module, we will dive into the essential AWS services that support chatbot development. You will gain a deeper understanding of Amazon Web Services' offerings, such as compute, storage, and security. Additionally, we’ll cover the architecture of Amazon Lex bots and how AWS makes the integration and deployment of chatbots seamless and cost-effective.
What's included
7 videos
In this module, we will guide you through the complete process of developing a chatbot using Amazon Lex and AWS Lambda. Starting with the essential steps for building and deploying chatbots, you’ll learn to configure the chatbot’s intent, utterances, and response flow. The module will also cover integrating additional tools like Twilio and Boto, enabling you to deploy chatbots on websites and communication platforms such as WhatsApp.
What's included
24 videos1 assignment
Instructor
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Recommended if you're interested in Cloud Computing
Coursera Project Network
DeepLearning.AI
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.