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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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build & Deploy AI Messenger Chatbot using IBM Watson with these activities:
Review Artificial Intelligence books
Get a grounding in AI concepts by reviewing books on this topic.
View Melania on Amazon
Show steps
  • Read highlighted chapters on basics of AI
  • Review notes and annotate chapters
  • Create a summary of main concepts and techniques
Review Understanding of Machine Learning Fundamentals
Ensure you are confident in the foundational concepts of machine learning and AI before starting the course.
Browse courses on Machine Learning Basics
Show steps
  • Revisit resources on supervised and unsupervised learning algorithms.
  • Refamiliarize yourself with common machine learning models and their applications.
  • Practice implementing basic machine learning algorithms in a programming language.
Follow tutorials on chatbot deployment
Learn about the process of deploying chatbots by following online tutorials.
Browse courses on Cloud Deployment
Show steps
  • Identify resources for chatbot deployment tutorials
  • Follow tutorials on deploying chatbots to the cloud
  • Practice deploying chatbots to different platforms
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Review relevant programming languages
Practice using the programming languages that will be used in this course to strengthen foundational knowledge and improve coding proficiency.
Browse courses on Python
Show steps
  • Set up a development environment and install necessary software.
  • Review syntax, data structures, and algorithms for the relevant programming languages.
  • Complete coding exercises and small projects to apply your knowledge.
Practice writing chatbot scripts
Improve your ability to write effective chatbot scripts through practice.
Browse courses on Natural Language Processing
Show steps
  • Identify common chatbot use cases
  • Write scripts for various chatbot scenarios
  • Get feedback on your scripts from peers or an instructor
Attend Virtual or In-person AI and Chatbot Meetups
Connect with professionals in the field, learn about industry trends, and gain insights from experts.
Show steps
  • Identify relevant meetups or conferences focused on AI and chatbot development.
  • Attend the events and actively participate in discussions.
  • Network with other attendees and exchange knowledge.
Explore IBM Watson Assistant documentation
Become familiar with the IBM Watson Assistant platform and its capabilities to lay the groundwork for chatbot creation.
Browse courses on IBM Watson Assistant
Show steps
  • Read the IBM Watson Assistant documentation.
  • Follow beginner-friendly tutorials on creating and deploying chatbots using IBM Watson Assistant.
Build a simple chatbot prototype
Reinforce your understanding of chatbot technologies by building a chatbot prototype.
Browse courses on Chatbot
Show steps
  • Research and select a chatbot development platform
  • Design a simple chatbot flow
  • Develop the chatbot prototype
  • Test and refine the chatbot prototype
Practice creating chatbot scripts
Craft and refine chatbot scripts to solidify your understanding of the fundamentals of chatbot design and scripting.
Show steps
  • Identify common chatbot use cases
  • Write scripts for each use case, covering different user intents
  • Test your scripts with a chatbot simulator
Explore Tutorials on Building Chatbots with IBM Watson
Gain practical experience and familiarize yourself with the tools and techniques used in chatbot development.
Show steps
  • Follow step-by-step tutorials provided by IBM or other reputable sources.
  • Experiment with different chatbot templates and functionalities.
Assist other learners in the course
Share your knowledge and support other learners by answering questions, providing feedback, and collaborating on projects.
Browse courses on Chatbot Development
Show steps
  • Participate in online forums and discussion groups.
  • Offer help and guidance to learners who are struggling.
  • Collaborate on projects and share resources.
Practice building basic chatbots
Gain hands-on experience in building chatbots to reinforce learning and develop proficiency.
Browse courses on Chatbot Development
Show steps
  • Design a simple chatbot with a specific purpose or functionality.
  • Implement the chatbot using IBM Watson Assistant or other chatbot development platforms.
  • Test and evaluate the chatbot's performance.
Build a chatbot prototype
Bring your chatbot design to life by developing a basic prototype that showcases its core functionality.
Show steps
  • Choose a chatbot platform and set up your account
  • Design the user interface and flow of your chatbot
  • Implement core chatbot functionality and integrate with IBM Watson
  • Test and refine your chatbot's performance
Practice Building and Testing Chatbots
Reinforce your understanding by actively creating and testing chatbots, experimenting with different scenarios and user interactions.
Show steps
  • Design a simple chatbot prototype with defined user flows.
  • Implement the chatbot using IBM Watson Assistant or a similar platform.
  • Test the chatbot's functionality and user experience.
  • Iterate on the design and implementation based on testing results.
Attend chatbot industry events
Expand knowledge of industry best practices and trends by attending industry events.
Browse courses on Networking
Show steps
  • Identify relevant industry events
  • Attend the event and engage in discussions
  • Connect with professionals in the field
Explore advanced chatbot features
Enhance your chatbot's capabilities by diving into tutorials on natural language processing, machine learning, and other advanced techniques.
Show steps
  • Identify areas where your chatbot could benefit from advanced features
  • Research and select appropriate tutorials
  • Follow the tutorials and implement the features in your chatbot
  • Test and evaluate the effectiveness of the new features
Develop a functional chatbot prototype
Create a functioning chatbot prototype to demonstrate understanding of the concepts covered in the course and to showcase your skills.
Browse courses on Chatbot Development
Show steps
  • Define the requirements and specifications for the chatbot.
  • Design and implement the chatbot using IBM Watson Assistant or other chatbot development platforms.
  • Test and refine the chatbot to improve its performance.
  • Deploy the chatbot on a platform or website for testing and feedback.
Develop a Chatbot for a Specific Business Use Case
Apply your skills to a real-world scenario by designing and implementing a chatbot that solves a specific business problem.
Show steps
  • Identify a business use case where a chatbot would provide value.
  • Design the chatbot's functionality, user interface, and conversation flow.
  • Develop and implement the chatbot using appropriate tools and technologies.
  • Evaluate the chatbot's performance and make necessary improvements.

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.
See salaries and explore the career path for Machine Learning Engineer
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Data Analyst
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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Product Manager
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.
See salaries and explore the career path for User Experience Designer
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.
See salaries and explore the career path for Marketing Manager
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.
See salaries and explore the career path for Sales Manager
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.
See salaries and explore the career path for Business Analyst
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.
See salaries and explore the career path for Customer Success Manager
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.
See salaries and explore the career path for Technical Writer
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.
See salaries and explore the career path for Social Media Manager
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.
See salaries and explore the career path for Content Writer
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.
See salaries and explore the career path for Recruiter
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.
See salaries and explore the career path for Customer Service Representative

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.
Cover image
TensorFlow in Action
Save
Provides a hands-on introduction to NLP using TensorFlow. It covers topics such as text preprocessing, tokenization, stemming, lemmatization, and named entity recognition.
TensorFlow in Action
Paperback
$$
TensorFlow in Action
Kindle Edition
$$$
Cover image
Cross-Lingual Word Embeddings
Save
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.
Cross-Lingual Word Embeddings (Synthesis Lectures...
Paperback
$$
Cover image
Python for Data Analysis
Save
Provides a comprehensive overview of data analysis using Python. It covers topics such as data cleaning, data manipulation, and data visualization.
Python for Data Analysis
Paperback
Check
Python for Data Analysis
Kindle Edition
Check
Cover image
R for Data Science
Save
Provides a comprehensive overview of data science using R. It covers topics such as data cleaning, data manipulation, and data visualization.
R for Data Science: Import, Tidy, Transform,...
Paperback
$$
(Deutsch) R für Data Science: Daten importieren, bereinigen,...
Kindle Edition
$$$
Cover image
Data Science from Scratch
Save
Provides a hands-on introduction to data science using Python. It covers topics such as data cleaning, data manipulation, and data visualization.
Data Science from Scratch: First Principles with...
Paperback
$$
Data Science from Scratch: First Principles with...
Kindle Edition
$$
Data Science from Scratch: First Principles with...
Paperback
$$
Cover image
Deep Learning with Python, Second Edition
Save
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.
Deep Learning with Python, Second Edition
Paperback
$$
Deep Learning with Python, Second Edition
Kindle Edition
$$

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Time
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Instructor
Abhishek Jha
Good to know
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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