About this Professional Certificate

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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 2 months to complete

Suggested 13 hours/week


Subtitles: English, Korean, German

Skills you will gain

Data ScienceDeep LearningArtificial Intelligence (AI)Machine LearningWatson AI

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 2 months to complete

Suggested 13 hours/week


Subtitles: English, Korean, German

What is a Professional Certificate?

Build the Skills to Get Job Ready

Whether you’re looking to start a new career, or change your current one, Professional Certificates on Coursera help you become job ready. Learn at your own pace, whenever and wherever it’s most convenient for you. Enroll today and explore a new career path with a 7 day free trial. You can pause your learning or end your subscription at any time.

Hands-On Projects

Apply your skills with hands-on projects and build a portfolio that showcases your job readiness to potential employers. You'll need to successfully finish the project(s) to earn your Certificate.

Earn a Career Credential

When you complete all of the courses in the program, you'll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.

how it works

There are 6 Courses in this Professional Certificate


Course 1

Introduction to Artificial Intelligence (AI)

1,809 ratings
367 reviews

Course 2

Getting Started with AI using IBM Watson

841 ratings
127 reviews

Course 3

Building AI Powered Chatbots Without Programming

924 ratings
195 reviews

Course 4

Python for Data Science and AI

12,040 ratings
1,648 reviews


Image of instructor, Joseph Santarcangelo

Joseph Santarcangelo 

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
143,997 Learners
4 Courses
Image of instructor, Yi Leng Yao

Yi Leng Yao 

MSc., Data Scientist, Software Engineer
IBM Skills Network
5,143 Learners
1 Course
Image of instructor, Sacchit Chadha

Sacchit Chadha 

Software Engineer @ IBM | Rising Computer Science Senior @ UWaterloo
5,143 Learners
1 Course
Image of instructor, Rav Ahuja

Rav Ahuja 

AI and Data Science Program Director
103,183 Learners
3 Courses
Image of instructor, Tanmay Bakshi

Tanmay Bakshi 

AI Evangelist & Watson Developer
2,644 Learners
1 Course
Image of instructor, Antonio Cangiano

Antonio Cangiano 

Software Developer and Technical Evangelist
IBM Developer Skills Network
18,343 Learners
2 Courses

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • The Professional Certificate consists of 6 self-paced courses. Effort required to complete each course is 4-5 weeks if spending 2-4 hours per week. At this rate the entire specialization can be completed in 3-6 months.

  • This Professional Certificate is suitable for learners with both tech and non-tech background alike. The first 3 courses in the specialization do not require any programming. The final two courses require some knowledge of Python to build and deploy AI applications. For learners without any programming background, and introductory Python course is included.

  • It is highly recommended to complete the courses in the suggested order.

  • At this time there is no university credit for completing courses in this Professional Certificate.

  • Upon completing this specialization you will be able to:

    • Understand what is AI, its applications & use cases, and how its transforming our lives
    • Explain terms like Machine Learning, Deep Learning and Neural Networks
    • Identify various Watson AI services from IBM and what they can be used for
    • Narrate several applications and real life case studies involving Watson
    • Describe how AI-powered chatbot technology works and its applications
    • Create a customer support chatbot and deploy it to a website
    • Practice basics of Python programming language using Jupyter notebooks
    • Apply Python programming concepts for data science and AI
    • Utilize multiple Watson AI services and APIs together to build smart applications
    • Deploy speech enabled virtual assistants with domain intelligence to Facebook, etc.
    • Explain what computer vision is and its applications
    • Build and train custom image classifiers using Watson, Python and OpenCV
    • Create an interactive computer vision web application and deploy it to the cloud

More questions? Visit the Learner Help Center.