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Building AI Applications with Watson APIs

A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.

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Provides an introduction to combining multiple Watson AI services, which is commonly used in enterprise environments

Suitable for learners interested in developing interactive information retrieval systems

Taught by Antonio Cangiano and Tanmay Bakshi, IBM Distinguished Engineers recognized for their expertise in AI and Watson services

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Reviews summary

Learning ai applications with watson apis

This course is for students who want to develop foundational knowledge of AI-driven applications using Watson APIs. Through hands-on labs and engaging modules, learners will gain expertise in combining Discovery, Speech to Text, Assistant, and Text to Speech services to build intelligent information retrieval systems. With a focus on practical applications, the course empowers students to leverage IBM's AI capabilities and create real-world solutions.

The course is designed to be accessible to beginners, providing a solid foundation in AI concepts and Watson API integration.

"It's the best to get acquainted with professional labor market tools"

"The course layout made it easy to understand the material presented."

Despite the challenges posed by outdated materials and error-prone labs, students found the course rewarding and expressed satisfaction with what they learned.

"It isn't easy, but you'll learn alot!"

"Very Very Useful Course !"

"I learned so much, this was really fun and I look forward to continuing my education in this area."

This course provides extensive hands-on practice through labs, enabling learners to gain practical experience in building AI applications with Watson APIs.

"Great class - lots of hand on work."

"Enjoyed the labs and I learned a lot about Watson Assist."

Errors and bugs in the labs hindered students' progress and required additional effort to complete the assignments.

"All labs just not working: it's a shame"

"few bugs need to be addressed while executing THEIA IDE."

The course materials and instructions have not been updated, leading to outdated labs and confusing instructions.

"The course needs to be updated."

"Too many mistakes in the lessons and unclear instructions."

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 Building AI Applications with Watson APIs with these activities:

Review Python

Show steps

Familiarity with Python is essential for success in this course, complete this refresher to strengthen your understanding about data manipulation and analysis using Python.

Browse courses on Python

Show steps

Review fundamental Python syntax and data structures
Practice writing simple Python scripts

Review basic Python programming concepts

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You will be better prepared to learn the more advanced concepts that are covered in this course.

Browse courses on Python Programming

Show steps

Review the official Python tutorial
Take an online Python course or workshop

Read 'Automate the Boring Stuff with Python'

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This book will help you build a solid foundation in Python programming.

View Automate the Boring Stuff with Python, 2nd... on Amazon

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Read the book from cover to cover
Complete the practice exercises

Five other activities

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Show all eight activities

Solve Python coding challenges

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This will help you develop your problem-solving skills and improve your understanding of Python.

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Find a website or online platform that offers Python coding challenges
Solve as many challenges as you can

Follow along with Watson AI tutorials

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This will help you learn how to use Watson AI services in your own projects.

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Find a Watson AI tutorial that interests you
Follow the steps in the tutorial
Complete the practice exercises

Build a Python project using Watson AI services

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This will help you apply your skills and knowledge to a real-world problem.

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Come up with an idea for a project
Design the project
Implement the project
Test the project
Deploy the project

Start a blog or website about Watson AI

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This will help you share your knowledge and insights with others.

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Choose a blogging platform
Set up your blog or website
Write and publish your first post

Volunteer with a local AI organization

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This will help you connect with other AI enthusiasts and learn about new technologies.

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Find a local AI organization
Contact the organization and express your interest in volunteering
Attend volunteer training
Start volunteering

Career center

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

Software Developer

Software Developers design, build, and maintain software systems. They work on a variety of projects, from web applications to mobile apps. This course teaches how to build an application that leverages multiple Watson AI services, which is a valuable skill for Software Developers who work with such services.

See salaries and explore the career path for Software Developer

Product Manager

Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market. This course may be useful to Product Managers who are seeking to use Watson AI services to enhance their product offerings.

See salaries and explore the career path for Product Manager

Technical Project Manager

Technical Project Managers plan and manage software development projects. They work with engineers, designers, and other stakeholders to ensure that projects are completed on time and within budget. This course may be useful to Technical Project Managers who are seeking to leverage the benefits of Watson AI services to enhance their project deliverables.

See salaries and explore the career path for Technical Project Manager

Solutions Architect

Solutions Architects design and implement technology solutions for clients. They work with clients to understand their needs and then create solutions that meet those needs. This course may be useful to Solutions Architects who intend to provide solutions that leverage Watson AI services for their clientele.

See salaries and explore the career path for Solutions Architect

Systems Analyst

Systems Analysts analyze and design computer systems. They work with users to understand their needs and then create systems that are efficient and effective. This course may be useful to Systems Analysts who aim to leverage Watson AI services to enhance the systems they develop.

See salaries and explore the career path for Systems Analyst

Software Architect

Software Architects design and develop software systems. They work with engineers and other stakeholders to create systems that are scalable, reliable, and efficient. This course may be useful to Software Architects who aim to leverage Watson AI services to architect robust, intelligent, and reliable software systems.

See salaries and explore the career path for Software Architect

Research Scientist

Research Scientists conduct research in a variety of fields, including artificial intelligence, machine learning, and natural language processing. This course may be useful to Research Scientists who aim to leverage Watson AI services to conduct their research more efficiently and productively.

See salaries and explore the career path for Research Scientist

User Experience Designer

User Experience Designers design the user experience for websites, apps, and other products. They work with users to understand their needs and then create designs that are easy to use and enjoyable. This course may be useful to User Experience Designers who wish to leverage Watson AI services to enhance the user experience of the applications and systems they design.

See salaries and explore the career path for User Experience Designer

Applications Architect

An Applications Architect combines the knowledge of enterprise applications with the skills of a software developer. They lead the design, creation, and implementation of custom applications. This course teaches how to build an application that leverages multiple Watson AI services, which may be useful to an Applications Architect who interacts with Watson to architect custom application builds.

See salaries and explore the career path for Applications Architect

Technical Consultant

Technical Consultants provide technical advice and support to clients. They work with clients to identify and solve technical problems. This course may be useful to Technical Consultants who are called upon to provide advice or guidance on Watson AI services.

See salaries and explore the career path for Technical Consultant

Information Architect

Information Architects design and organize information systems. They work with users to understand their needs and then create systems that are easy to use and efficient. This course may be useful to Information Architects who must leverage Watson AI services to provide users with highly efficient, AI powered search results.

See salaries and explore the career path for Information Architect

Artificial Intelligence Developer

Artificial Intelligence Developers design, build, and maintain AI models and algorithms. They work on a variety of projects, from natural language processing to computer vision. This course helps build a foundation for Artificial Intelligence Developers who must leverage multiple Watson AI services to complete their tasks.

See salaries and explore the career path for Artificial Intelligence Developer

Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. They work on a variety of projects, from fraud detection to customer segmentation. This course provides a helpful foundation in machine learning fundamentals and knowledge to build and leverage multiple Watson AI services to create machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Natural Language Processing Engineer

Natural Language Processing Engineers develop and maintain natural language processing models. They work on a variety of projects, from machine translation to text summarization. This course provides a strong foundation for Natural Language Processing Engineers who work to build and leverage Watson AI services to perform natural language processing tasks.

See salaries and explore the career path for Natural Language Processing Engineer

Data Scientist

Data Scientists use their knowledge of math, statistics, and computer science to extract insights from data. They work on a variety of projects, from fraud detection to customer segmentation. This course helps build a foundation for Data Scientists who aim to leverage Watson AI services to perform data analysis and extract actionable business insights from datasets.

See salaries and explore the career path for Data Scientist

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 Building AI Applications with Watson APIs.

The AI Advantage

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Provides a comprehensive overview of AI and how it can be used to improve business outcomes. The book is written by leading experts in the field of AI, so you can be sure that it is up-to-date and accurate.

The Book of Why

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Provides a comprehensive overview of the history and development of AI. The book is written by leading experts in the field of AI, so you can be sure that it is up-to-date and accurate.

The Book of Why: The New Science of Cause and Effect

Kindle Edition

Deep Learning

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Provides a comprehensive overview of the field of DL. The book is written by leading experts in the field of DL, so you can be sure that it is up-to-date and accurate.

Deep Learning

Paperback

$$$

Deep Learning (Adaptive Computation and Machine...

Hardcover

$$$

Deep Learning (Adaptive Computation and Machine...

Kindle Edition

$$$

Reinforcement Learning, second edition

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Provides a comprehensive overview of the field of RL. The book is written by leading experts in the field of RL, so you can be sure that it is up-to-date and accurate.

Reinforcement Learning, second edition: An...

Hardcover

$$$

Reinforcement Learning, second edition: An...

Kindle Edition

$$$

Computer Vision

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Provides a comprehensive overview of the field of CV. The book is written by a leading expert in the field of CV, so you can be sure that it is up-to-date and accurate.

Speech and Language Processing. An Introduction to...

Save

Provides a comprehensive overview of the field of NLP. The book is written by leading experts in the field of NLP, so you can be sure that it is up-to-date and accurate.

Speech and Language Processing An Introduction to...

Paperback

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Time

24 hours

Via

Coursera

Institutions

IBM

IBM Skills Network

Instructors

Antonio Cangiano

Tanmay Bakshi

Building AI Applications with Watson APIs belongs to the following collections:

Good to know

Provides an introduction to combining multiple Watson AI services, which is commonly used in enterprise environments

Suitable for learners interested in developing interactive information retrieval systems

Taught by Antonio Cangiano and Tanmay Bakshi, IBM Distinguished Engineers recognized for their expertise in AI and Watson services

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