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Antonio Cangiano and Tanmay Bakshi
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...
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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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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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Despite the challenges posed by outdated materials and error-prone labs, students found the course rewarding and expressed satisfaction with what they learned.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
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
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'
This book will help you build a solid foundation in Python programming.
Show steps
  • Read the book from cover to cover
  • Complete the practice exercises
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Python coding challenges
This will help you develop your problem-solving skills and improve your understanding of Python.
Show steps
  • Find a website or online platform that offers Python coding challenges
  • Solve as many challenges as you can
Follow along with Watson AI tutorials
This will help you learn how to use Watson AI services in your own projects.
Show steps
  • 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
This will help you apply your skills and knowledge to a real-world problem.
Show steps
  • 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
This will help you share your knowledge and insights with others.
Show steps
  • Choose a blogging platform
  • Set up your blog or website
  • Write and publish your first post
Volunteer with a local AI organization
This will help you connect with other AI enthusiasts and learn about new technologies.
Show steps
  • 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
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.
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.
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.
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.

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