Develop a Chatbot with AWS Lex and IBM Watson
As fast as possible, being smart and powerful
Updated on Jun, 2025
Language - English
IT and Software ,IT Certifications,Amazon AWS
Lectures -14
Duration -1.5 hours
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Course Description
In this course , you will learn and deploy chatbot using AWS Lex and IBM Watson on AWS and IBM Bluemix cloud.
Firstly, We will learn basic structure, working and usage of chatbot. Then learn the concepts like intents,entities & dialog for IBM Watson and intents, utterance, slots, prompts & fulfillment for AWS Lex. Then we will deploy chat-bots on both platform(ibm as well as aws).
Additionally, we will also learn and practice some more features that can be integrated with chatbot like text to speech, speech to text etc.
Goals
- Understand the Architecture of a Chatbot for Amazon Lex
- Learn the concepts like intents, utterance, slot, prompt and fulfillment for Amazon Lex
- Understand the Architecture of a Chatbot for IBM Watson Assistant
- Learn the concept like intents, entities and dialog for IBM Watson
- Build Chatbot using Amazon Lex and IBM Watson Assistant
- Learn to use to synthesize speech using AWS Polly and IBM Watson Text to Speech Service
- Learn to do transcription using AWS Transcribe and IBM Watson Speech to Text
Prerequisites
- Nothing required at all! but if you have a background in computer science or development, it would be beneficial, but not required at all.
Curriculum
Check out the detailed breakdown of what’s inside the course
Chatbot using AWS AI
3 Lectures
-
AWS Lex - 1
08:05
08:05
-
AWS Lex - 2
07:06
07:06
-
Practical : Chatbot using AWS AI
11:54
11:54
Chatbot using IBM Watson
2 Lectures
Speech to Text
4 Lectures
Text to Speech
4 Lectures
Instructor Details
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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