AI Applications with Watson from edX

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By enrolling in this course, chances are you've studied artifical intelligence, built chatbots and have perhaps even used Watson Assistant along the way. But did you know that you can turbocharge your chatbot's IQ with IBM Watson Discovery, a service designed to reveal the hidden value in your data? Discovery specializes in taking your data--structured or unstructured--and extracting from it answers and patterns.

For example, if you have a large repository, the contents of which could answer customer questions, you've got the makings of a great FAQ chatbot.

In this course, you'll learn how to build queries in Discovery, which allows you to surface answers and patterns from large repositories of data. You'll next learn to use Discovery to extract insights from a set of hotel reviews. Then, to make that data come to life, you'll integrate Discovery with other Watson services to create a chatbot that can tell you about the best hotels in a certain US city. By using these Watson services, you'll add more layers of analysis to help you find the best hotel.

You'll build your chatbot application with the following Watson services:

Assistant
Discovery
Tone Analyzer
Personality Insights

By the end of this course, you will have built a fully functioning AI-powered chatbot. Moreover, you should be able to apply the services taught here to your own data sets, enabling you to create sophisticated chatbots of your own.

What's inside

Learning objectives

Apply your foundational concepts of ai and machine learning into building and programming chatbots
Create a chatbot application that interacts in natural language in ibm cloud

Synthesize data that can be queried to extract sentiment, concepts, entities, and taxonomy by using watson discovery
Reveal the emotions, sentiment, and customer preferences found in hotel reviews by using tone analyzer and personality insights and feed that data to the chatbot

Apply your foundational concepts of ai and machine learning into building and programming chatbots
Create a chatbot application that interacts in natural language in ibm cloud
Synthesize data that can be queried to extract sentiment, concepts, entities, and taxonomy by using watson discovery
Reveal the emotions, sentiment, and customer preferences found in hotel reviews by using tone analyzer and personality insights and feed that data to the chatbot

Syllabus

Lab 1: Build a Watson chatbot

Watson Assistant overview

Deploy Watson Assistant

Import the workspace

Create intents, entities, and dialog

Apply the Jump to action

Add multiple response conditions for a specific intent

Add responses for other intents

Test the chatbot

Lab 2: Build queries by using Watson Discovery

Watson Discovery overview

Access the news collection in the Discovery tool

Understand the data structure

Query the data by using filters

Query the data by using the query parameter

Query the data by using aggregation

Retrieve longer passages from the data

Train Discovery to improve relevancy

Lab 3: Enhance a chatbot with Discovery

Get the starter code and credentials

Integrate Discovery with the chatbot

Test the application

Lab 4: Gain insights by using Discovery

Get the data into Discovery

Find basic insights in the data

Lab 5: Analyze the tone from hotel reviews

Watson Tone Analyzer overview

Deploy the Tone Analyzer service

Analyze the tone in hotel review

Test the tone analysis

Lab 6: Analyze customer preferences

Watson Personality Insights overview

Deploy the Personality Insights service

Get the personality profile

Final exam

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores artificial intelligence and machine learning, which are standard concepts in industry

Taught by Antonio Cangiano, who is recognized for their work in IBM Watson

Develops concepts of natural language processing and chatbot applications, which are core skills for data scientists

Examines use of AI for improving customer service in a natural language interface which is highly relevant in industry

Provides step-by-step labs to build and deploy a chatbot using IBM Watson services

Requires prior foundational concepts of AI and machine learning which may restrict enrollment

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 AI Applications with Watson with these activities:

Review prerequisite math skills

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Refine your math skills in linear algebra, calculus, statistics, and probability to ensure you have a solid foundation for the course content.

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Review linear algebra concepts such as matrices, vectors, and eigenvalues.
Brush up on calculus, specifically derivatives and integrals.
Revise statistics concepts like probability distributions, hypothesis testing, and regression analysis.
Practice probability problems involving conditional probability, Bayes' theorem, and random variables.

Review AI and machine learning concepts

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Sharpen your understanding of the foundational principles that underpin this course by reviewing core concepts in AI and machine learning.

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Read introductory articles or book chapters on AI and machine learning.
Revisit lecture notes or online tutorials on these topics.
Complete practice problems or exercises to test your comprehension.

Join a study group for this course

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Collaborate with other students to understand the course material and prepare for assessments.

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Find a study group
Set up a regular meeting schedule
Review course материала together
Discuss assignments and projects

Ten other activities

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Practice creating chatbots with IBM Watson Assistant

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Enhance your understanding of chatbot development by following guided tutorials that provide hands-on experience using IBM Watson Assistant.

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Find tutorials on creating chatbots with IBM Watson Assistant.
Follow the step-by-step instructions to build a simple chatbot.
Experiment with different features and settings to customize your chatbot.

Build a simple chatbot using Watson Assistant

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Create a basic chatbot using Watson Assistant to get hands-on experience with the platform and reinforce the concepts covered in the course.

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Sign up for a free IBM Cloud account.
Create a new Watson Assistant instance.
Design the chatbot's intents and entities.
Train the chatbot with sample dialogues.
Deploy the chatbot and test its functionality.

Collaborate with peers on a chatbot project

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Foster collaboration and exchange of knowledge by working with peers on a chatbot project, sharing ideas and providing feedback.

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Find a group of interested peers to collaborate with.
Define the scope and objectives of your chatbot project.
Distribute tasks and responsibilities among team members.
Meet regularly to discuss progress, provide feedback, and troubleshoot issues.

Build a chatbot prototype

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Apply your AI and machine learning skills to create a chatbot that interacts with users.

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Design the chatbot's functionality
Develop the chatbot's backend
Create the chatbot's interface
Test and iterate on the chatbot

Write a blog post about Watson Discovery

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Share your knowledge of Watson Discovery and how it can be used to extract insights from data.

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Research the topic
Outline the blog post
Write the first draft
Edit and revise the blog post

Develop a chatbot deployment plan

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Create a comprehensive plan for deploying and managing your chatbot in a production environment, demonstrating your understanding of cloud infrastructure and scalability.

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Choose a cloud platform and infrastructure for your chatbot.
Design the deployment architecture, including servers, databases, and networking.
Configure security measures to protect user data and privacy.
Plan for scalability and performance optimization.
Develop a monitoring and maintenance strategy for the chatbot.

Build a chatbot using natural language processing

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Strengthen your practical skills by building a chatbot that utilizes natural language processing to interact with users.

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Choose a specific domain or topic for your chatbot.
Design the conversation flow and intents for your chatbot.
Implement natural language processing techniques to enable user interaction.

Develop a chatbot prototype for a specific domain

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Design and develop a chatbot prototype tailored to a specific domain, demonstrating your understanding of user interface design and chatbot functionality.

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Identify a specific domain for your chatbot, such as customer support, e-commerce, or healthcare.
Research and analyze user needs and requirements for the domain.
Design the chatbot's user interface, including the conversation flow and visual elements.
Develop a prototype of the chatbot using appropriate tools and technologies.
Evaluate the prototype and gather feedback from potential users.

Host a peer-led workshop on chatbot best practices

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Share your knowledge and facilitate a peer-led workshop to educate others on best practices in chatbot design, development, and deployment.

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Prepare a presentation on chatbot best practices, covering topics such as user experience, natural language processing, and machine learning.
Organize a workshop and invite peers to participate.
Lead the workshop, sharing your knowledge and facilitating discussions.
Encourage participants to share their experiences and perspectives.
Reflect on the workshop and identify areas for improvement.

Contribute to an open-source chatbot project

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Make a significant contribution to an open-source chatbot project, demonstrating your commitment to community involvement and your skills in collaborative software development.

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Identify a reputable open-source chatbot project that aligns with your interests and skills.
Join the project's community and engage with other contributors.
Identify an area where you can make a valuable contribution, such as feature development, bug fixes, or documentation improvements.
Collaborate with other contributors and follow the project's codebase conventions.
Submit your contributions for review and merge into the main codebase.
Reflect on your experience and identify areas for growth.

Career center

Learners who complete AI Applications with Watson will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models. This course will help you build a foundation in AI and machine learning, which are essential skills for success in this role. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to improve machine learning models. Overall, this course will help you develop the skills and knowledge you need to be successful as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Business Intelligence Analyst

As a Business Intelligence Analyst, you will be responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. This course will help you build a foundation in AI and machine learning, which are essential skills for success in this role. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to improve business processes, identify new opportunities, and make better decisions. Overall, this course will help you develop the skills and knowledge you need to be successful as a Business Intelligence Analyst.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. This course will help you build a foundation in AI and machine learning, which are essential skills for success in this role. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to improve business processes, identify new opportunities, and make better decisions. Overall, this course will help you develop the skills and knowledge you need to be successful as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of AI and machine learning to solve business problems. This course will help you build a foundation in AI and machine learning, which are essential skills for success in this role. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to solve business problems. Overall, this course will help you develop the skills and knowledge you need to be successful as a Data Scientist.

See salaries and explore the career path for Data Scientist

Consultant

Consultants provide expert advice to businesses on a variety of topics. This course will help you build a foundation in AI and machine learning, which can be used to improve consulting services. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to identify new business opportunities, develop better solutions, and make better decisions. Overall, this course will help you develop the skills and knowledge you need to be successful as a Consultant.

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Technical Writer

Technical Writers create documentation for software, products, and other technical topics. This course will help you build a foundation in AI and machine learning, which can be used to improve technical writing. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to create more accurate, comprehensive, and engaging technical documentation. Overall, this course will help you develop the skills and knowledge you need to be successful as a Technical Writer.

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User Experience (UX) Designer

User Experience (UX) Designers design websites, apps, and other products to be easy and enjoyable to use. This course will help you build a foundation in AI and machine learning, which can be used to improve the user experience of products. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to understand how users interact with products and identify ways to improve the user experience. Overall, this course will help you develop the skills and knowledge you need to be successful as a UX Designer.

See salaries and explore the career path for User Experience (UX) Designer

Market Researcher

Market Researchers conduct research to understand the needs and wants of customers. This course will help you build a foundation in AI and machine learning, which can be used to improve market research methods and insights. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to identify new market opportunities, target customers more effectively, and develop better products and services. Overall, this course will help you develop the skills and knowledge you need to be successful as a Market Researcher.

See salaries and explore the career path for Market Researcher

Business Analyst

Business Analysts help businesses to improve their processes, products, and services. This course will help you build a foundation in AI and machine learning, which can be used to improve business analysis methods and insights. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to identify new business opportunities, improve existing processes, and make better decisions. Overall, this course will help you develop the skills and knowledge you need to be successful as a Business Analyst.

See salaries and explore the career path for Business Analyst

Software Engineer

Software Engineers design, build, and maintain software applications. This course will help you build a foundation in AI and machine learning, which can be used to enhance the capabilities of software applications. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to improve the user experience and make better decisions. Overall, this course will help you develop the skills and knowledge you need to be successful as a Software Engineer.

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Product Manager

Product Managers are responsible for the development and management of products. This course will help you build a foundation in AI and machine learning, which can be used to improve the development and management of products. The course will also teach you how to use Watson Discovery to extract insights from data, which can be used to identify new product opportunities, improve existing products, and make better decisions. Overall, this course will help you develop the skills and knowledge you need to be successful as a Product Manager.

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Nonprofit Director

Nonprofit Directors lead and manage nonprofit organizations. This course may be useful for Nonprofit Directors who want to use AI and machine learning to improve their organization's operations. The course will provide you with a foundation in AI and machine learning, and it will also teach you how to use Watson Discovery to extract insights from data. This knowledge can be used to make better decisions about how to allocate resources, to develop more effective programs and services, and to measure the impact of the organization's work.

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Educator

Educators teach students about a variety of subjects. This course may be useful for Educators who want to incorporate AI and machine learning into their teaching. The course will provide you with a foundation in AI and machine learning, and it will also teach you how to use Watson Discovery to extract insights from data. This knowledge can be used to create more engaging and effective lesson plans, and it can also be used to help students learn about the world around them.

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Librarian

Librarians help people find and access information. This course may be useful for Librarians who want to use AI and machine learning to improve their services. The course will provide you with a foundation in AI and machine learning, and it will also teach you how to use Watson Discovery to extract insights from data. This knowledge can be used to create better search tools, to recommend books and other resources to patrons, and to provide other personalized services.

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Sales Manager

Sales Managers lead and manage sales teams. This course may be useful for Sales Managers who want to use AI and machine learning to improve their sales strategies. The course will provide you with a foundation in AI and machine learning, and it will also teach you how to use Watson Discovery to extract insights from data. This knowledge can be used to identify new sales opportunities, to develop more effective sales pitches, and to close more deals.

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AI Applications with Watson

What's inside

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