Course HighlightsCOURSE
AI Applications with Watson

AI Applications with Watson

Discover how to use Watson Assistant, Discovery, Speech to Text, and Text to Speech. Learn how to build chatbots using Watson AI services and create your own chatbot.

Build critical AI skills for a successful career in AI.

AI Applications with Watson Highlights

  Course duration

Duration

  • 3 weeks, online
    2–4 hours per week
  Course Fee

Fee

US$ 99 - US$ 199

Course duration

Duration

  • 3 weeks, online
    2–4 hours per week
Course Fee

Fee

US$ 99 - US$ 199

Businesses across industries are jumping to utilize chatbots; they save time, grow sales, and improve engagement with their market. And because chatbots can now answer questions quickly and effectively via both text and speech recognition, the trust users have in them is building. This means that career-oriented individuals, who spend time developing strong skills in this area, can look forward to working within a fascinating aspect of AI.

In this course, you will be introduced to the technologies used to set up key Watson services on the IBM Cloud. You will delve into Watson Discovery, and explore how integration between Watson Assistant and Discovery works in principle. On a practical level, you will create a chatbot using Watson Assistant, and you will then utilize IBM Cloud Functions to integrate it with Watson Discovery. You will give your chatbot a voice by integrating Watson Assistant with Watson Speech APIs. Plus, you will deploy your chatbot to various channels, including Facebook Messenger and Slack.

For individuals keen to develop key AI skills, building expertise in the chatbot arena will enable you to make significant progress in this exciting field.

This course comprises six purposely designed modules that take you on a carefully defined learning journey. If you are thinking about taking the course separately, it is worth noting that it is part of the IBM Applied AI Professional Certificate Program and you may want to consider enrolling for the whole program rather than just enrolling for one course at a time.

It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2-4 hours per week, you will complete the program in 3 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And you will be encouraged to stay connected with your learning community and mentors through the course discussion space.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exams questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.

Once you have successfully completed the course, you will earn your IBM Certificate.

  • Ability to work with large volumes of unstructured data using Watson Discovery.
  • Ability to build a chatbot and integrate Watson Assistant and Discovery.
  • Ability to give a voice to a chatbot.
  • Ability to deploy chatbots to various channels.

This course is suitable for learners with both technical and non-technical backgrounds.

The course is specifically aimed at:

  • Individuals who are keen to begin their career in data science or artificial intelligence.
  • College graduates looking to land their first data science or AI job.
  • Experienced developers seeking to upskill, enhance their data science and AI knowledge, and participate in projects.
  • An understanding of how to create AI chatbots without programming.
  • Basic Python programming.

Course Outline

Module Introduction
Learning Objectives
Building AI Applications (3:03)
The Technologies We Are Going To Use (2:30)
Lab 1: Creating Watson Instances (1hr)
Graded Quiz
What's Next
Module Introduction
Learning Objectives
Understanding Watson Discovery(6:07))
Creating a Discovery Collection(6:52))
Lab 2: Creating a Discovery Collection (1h)
Graded Quiz
What's Next
Module Introduction
Learning Objectives
Integrating Watson Assistant & Discovery (3:56)
Creating a Chatbot with Watson Assistant (6:21)
Lab 3: Creating a Chatbot (1h)
Adding Discovery to the Chatbot (5:30)
Lab 4: Adding Discovery to the Chatbot (2h)
Graded Quiz
What's Next
Module Introduction
Learning Objectives
Voice Options for Your Chatbot (6:04)
Adding Watson Speech Services (2:58)
Lab 5: Adding Speech Services (1h)
Graded Quiz
What's Next
Module Introduction
Learning Objectives
Understanding Deployment Options (4:52)
Deploying Your Chatbot to Facebook Messenger (3:16)
Lab 6: Deploying to Facebook Messenger (1hr)
Deploying Your Chatbot to Slack (3:10)
Lab 7: Deploying to Slack (1h)
Graded Quiz
What's Next
Module Introduction
Learning Objective
Peer-graded Assignment - Create a Student Advisor
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Course Certificate

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Once you have completed this course, you will earn your certificate.

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AI Applications with Watson

FAQs

IBM Watson for AI has been designed by IBM to enable businesses to collect information from various sources and then analyze the data. It’s a very a popular tool because it helps businesses automate complex processes, and this in turn cuts costs and significantly improves productivity.

If you're keen to find out more about IBM Watson for AI, we suggest you click here to find out more directly from IBM: https://www.ibm.com/watson/about.

Good examples include: IBM Watson Assistant, Watson Knowledge Studio, Watson Natural Language Understanding, Watson Advertising Accelerator, Watson Discovery, Watson Speech to Text, Watson Text to Speech, IBM Watson Works, Watson Language Translator, Watson Natural Language Classifier, Watson Advertising Conversations, and many more. To discover more examples click here: https://www.ibm.com/uk-en/watson/products-services.

AI Applications with Watson is a course that runs online. To access the course materials, you will need access to the internet. When you enroll for this course (please note, this course is also part of the IBM Applied AI Professional Certificate, though you don’t have to be enrolled on the program to take this course), you will find you have access to the course materials in your dashboard. You will therefore be able to see the course materials as soon as you enroll.

Yes, if you successfully complete this course, you will earn an IBM Professional Certificate. Please note, this course is part of the IBM Applied AI Professional Certificate Program, thus you will also be one step closer to obtaining IBM Applied AI Professional Certification if that is something you are seeking to achieve.

AI Applications with Watson has been developed as part of the IBM Applied AI Professional Certificate Program. However, it is possible to enroll on this course without having enrolled on the program. You will gain an IBM Professional Certificate for this even if you’re not enrolled on the full program. There are no prerequisites for enrolling onto the course.

This course has been designed as an introduction to the fundamentals of Watson applications. It is therefore suitable for anyone interested in the subject. However, we recommend that you have an understanding of how to create AI chatbots without programming. Basic Python programming.