Build & Deploy AI Messenger Chatbot using IBM Watson
Learn how to build, test and deploy an AI chatbot using IBM Watson in this 1 hour long project-based course. Create an IBM Cloud account and explore all the integrations to deploy the chatbot assistant to Messenger. No prior experience in coding or chatbot creation is needed. A credit card is required to sign up for IBM Cloud account. This course works best for learners in North America. ▼
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Course Feature
Cost:
Paid
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
26th Apr, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 03rd, 2023]
In this 1 hour long project-based course, learners will learn how to build, test and deploy an AI chatbot that will be able to interact with customers, answer their questions and through which clients will be able to make a booking. The course will begin with creating an IBM Cloud account, using the Free plan of IBM cloud which allows up to 1000 unique Monthly Active Users (MAU) to chat with the chatbot and up to 10,000 messages per month. Learners will explore all the integrations and deploy the IBM Watson chatbot assistant to Messenger. By the end of the course, learners will have a full-featured chatbot on the backs of possibly one of the most advanced machine learning technologies that is available to the public.
No prior experience in coding or chatbot creation is required to complete this project. This project is beginner-friendly. A credit card is required to sign up for IBM Cloud account. Note: This course works best for learners who are based in the North America region.
[Application]
Upon completion of this course, learners can apply their knowledge to create their own AI Messenger Chatbot using IBM Watson. They can use the chatbot to interact with customers, answer their questions, and enable customers to make bookings. Learners can also explore the various integrations and deploy the IBM Watson chatbot assistant to Messenger.
[Career Path]
Job Position Path: AI Chatbot Developer
AI Chatbot Developer is a job position that involves developing and deploying AI chatbots for various applications. AI Chatbot Developers are responsible for designing, coding, testing, and deploying AI chatbots that can interact with customers, answer their questions, and provide them with the information they need. They must have a strong understanding of AI technologies, such as natural language processing (NLP), machine learning (ML), and deep learning (DL), as well as the ability to develop and deploy AI chatbots on various platforms.
The development trend of AI Chatbot Developer is very positive. As AI technology continues to advance, more and more companies are looking to develop and deploy AI chatbots to improve customer service and automate mundane tasks. AI Chatbot Developers are in high demand, and the job market is expected to continue to grow in the coming years.
[Education Path]
The recommended educational path for learners who want to build and deploy an AI Messenger Chatbot using IBM Watson is to pursue a degree in computer science or a related field. This degree will provide learners with the necessary skills and knowledge to develop and deploy AI chatbots.
A computer science degree typically includes courses in programming, software engineering, artificial intelligence, machine learning, data structures, algorithms, and computer architecture. Learners will also gain experience in developing and deploying AI chatbots, as well as understanding the underlying technologies and principles behind them.
The development trend for AI chatbot technology is rapidly evolving, and learners should stay up to date with the latest advancements in the field. This includes learning about new technologies, such as natural language processing, deep learning, and reinforcement learning, as well as understanding the implications of AI chatbot technology on society. Additionally, learners should be aware of the ethical considerations of deploying AI chatbots, such as privacy and data security.
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