About this Specialization
Applied Learning Project
Learners will perform several no-code hands-on exercises in each of the three courses. At the end of the last course, learners would have developed, tested, and deployed a Watson AI powered customer service chatbot on a website to delight their clients.
No prior experience required.
No prior experience required.
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
What is the refund policy?
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Can I just enroll in a single course?
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 Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Can I take the course for free?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
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.
How long does it take to complete the Specialization?
This specialization consists of 3 self-paced courses. Each course can be completed in 4 weeks if working 2-4 hours per week. At this pace the entire specialization can be completed within 2-3 months. If working 10-12 hours per week, it can be completed within 1 month.
What background knowledge is necessary?
This specialization is open to anyone, whether you have technology background or not. It does NOT require any background in AI, Computer Science, Math or Programming.
Do I need to take the courses in a specific order?
Yes, it is highly recommended to complete the courses in the specified order.
Will I earn university credit for completing the Specialization?
No, there is no university credit associated with completing these courses.
What will I be able to do upon completing the Specialization?
Upon successfully completing all courses in this specialization you will be able to:
- Understand what is AI, its applications & use cases, and its impact on society
- 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 virtual assistant technology works and its applications
- Create a customer support chatbot and add it to a website
More questions? Visit the Learner Help Center.