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Build & Deploy AI Messenger Chatbot using IBM Watson

Abhishek Jha
In this 1 hour long project-based course, you will learn how to build, test and deploy an AI chatbot that will be able to interact with your customers, answer their questions and through which your clients will be able to make a booking. We will begin this...
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In this 1 hour long project-based course, you will learn how to build, test and deploy an AI chatbot that will be able to interact with your customers, answer their questions and through which your clients will be able to make a booking. We will begin this guided project by creating an IBM Cloud account. We will be using the Free plan of IBM cloud which allows up to 1000 unique Monthly Active Users (MAU) to chat with your chatbot and up to 10,000 messages per month. We will also explore all the integrations and deploy the IBM Watson chatbot assistant to Messenger. By the end of this project, you 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. You do NOT need any prior experience in coding or chatbot creation to be able to complete this project. This project is beginner-friendly. Requirement: You will need a credit card to sign up for IBM Cloud account. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds skills and knowledge that are fundamental for working in customer service and e-commerce
Emphasizes project-based learning, offering hands-on experience in building and deploying a chatbot
Utilizes IBM Cloud services, providing students with industry-standard tools and platform
Suitable for beginners, with no prior experience in coding or chatbot creation required
Provides a low-cost entry point with the IBM Cloud Free plan, making it accessible to a wider range of learners
May require additional costs for a credit card to set up an IBM Cloud account

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Reviews summary

Accessible ai messenger chatbot creation with watson

This beginner-friendly course teaches you how to build and deploy an AI chatbot using IBM Watson without prior coding experience. The course is well-received, with many positive reviews praising its clear explanations and engaging project. However, some reviewers have encountered technical difficulties, particularly with IBM account creation. Overall, this course is a valuable resource for those interested in learning the basics of chatbot creation.
Hands-on learning experience
"GOOD SESSION IT WENT FROM SCRATCH TO BUILDING A BASIC CHAT BOT AND EVERY TOOL PROVIDE WAS GOOD "
"This is great place to learn the chatbot, the explanation and demonstration of the project was too good"
Great for beginners
"You do NOT need any prior experience in coding or chatbot creation to be able to complete this project."
"This project is beginner-friendly."
"It's the best course for beginer . This project doesnot require any coding language ,its easy to learn and to understand."
Easy-to-understand instructions
"Instructor teaches very well and lot of content in this project .."
"its explained clearly that even thought first time we are learning ,without facing difficulty in understanding it."
Encountered technical issues
"V​M is terrible. And the instruction seems out of date."
"Outdated video tutorial. No clarity. Bug in login page."
"Update the course as IBM Cloud now requires a Credit Card to proceed."
Issues with IBM Cloud account creation
"The IBM cloud was logging me out forcefully"
"The IBM account is asking my credit car details."
"Course instructions fail at IBM account creation."

Activities

Coming soon We're preparing activities for Build & Deploy AI Messenger Chatbot using IBM Watson. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Build & Deploy AI Messenger Chatbot using IBM Watson will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. This course can help you build a foundation in AI and machine learning, which are essential skills for Machine Learning Engineers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Machine Learning Engineers.
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to extract insights. This course can help you build a foundation in AI and machine learning, which are essential skills for Data Scientists. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Data Scientists.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Data Analysts. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Data Analysts.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Software Engineers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Software Engineers.
Product Manager
Product Managers are responsible for planning and developing new products. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Product Managers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Product Managers.
User Experience Designer
User Experience Designers are responsible for designing and evaluating the user experience of products and services. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for User Experience Designers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by User Experience Designers.
Marketing Manager
Marketing Managers are responsible for planning and executing marketing campaigns. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Marketing Managers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Marketing Managers.
Sales Manager
Sales Managers are responsible for leading and managing sales teams. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Sales Managers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Sales Managers.
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Business Analysts. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Business Analysts.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products and services. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Customer Success Managers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Customer Success Managers.
Technical Writer
Technical Writers are responsible for creating and maintaining technical documentation. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Technical Writers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Technical Writers.
Social Media Manager
Social Media Managers are responsible for managing social media accounts for businesses and organizations. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Social Media Managers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Social Media Managers.
Content Writer
Content Writers are responsible for creating and writing content for websites, blogs, and other online platforms. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Content Writers. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Content Writers.
Recruiter
Recruiters are responsible for finding and hiring qualified candidates for open positions. This course can help you build a foundation in AI and machine learning, which are increasingly important skills for Recruiters. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Recruiters.
Customer Service Representative
Customer Service Representatives are responsible for providing customer service to customers. This course may be of help to you if you are interested in becoming a Customer Service Representative. By learning how to build and deploy an AI chatbot, you will gain hands-on experience with the tools and techniques used by Customer Service Representatives.

Reading list

We've selected six 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 Build & Deploy AI Messenger Chatbot using IBM Watson.
Provides a hands-on introduction to NLP using TensorFlow. It covers topics such as text preprocessing, tokenization, stemming, lemmatization, and named entity recognition.
Provides an in-depth overview of deep learning techniques for NLP, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. It also covers advanced topics such as attention mechanisms and transfer learning.
Provides a comprehensive overview of data analysis using Python. It covers topics such as data cleaning, data manipulation, and data visualization.
Provides a comprehensive overview of data science using R. It covers topics such as data cleaning, data manipulation, and data visualization.
Provides a comprehensive overview of deep learning using Python. It covers topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers. It useful reference for understanding the underlying concepts behind AI chatbots.

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