4.7

stars

1,752 ratings

Rav Ahuja +1 more instructor

11,890 already enrolled

Offered By

AI Foundations for Everyone SpecializationIBM

What you will learn

Understand what is AI, its applications and use cases and how it is transforming our lives

Explain terms like Machine Learning, Deep Learning and Neural Networks

Describe several issues and ethical concerns surrounding AI

Articulate advice from experts about learning and starting a career in AI

Skills you will gain

Data Science
Deep Learning
Artificial Intelligence (AI)
Machine Learning
Watson (Computer)
Jobs
Application Programming Interfaces (API)
watson

About this Specialization

9,087 recent views

Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating all industries and having a profound impact on virtually every aspect of our existence. Whether you are an executive, a leader, an industry professional, a researcher, or a student - understanding AI, its impact and transformative potential for your organization and our society is of paramount importance. This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills. It is designed to give you a firm understanding of what is AI, its applications and use cases across various industries. You will become acquainted with terms like Machine Learning, Deep Learning and Neural Networks. Furthermore, it will familiarize you with IBM Watson AI services that enable any business to quickly and easily employ pre-built AI smarts to their products and solutions. You will also learn about creating intelligent virtual assistants and how they can be leveraged in different scenarios. By the end of this specialization, learners will have had hands-on interactions with several AI environments and applications, and have built and deployed an AI enabled chatbot on a website – without any coding.

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.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

No prior experience required.

Approximately 3 months to complete

Suggested pace of 3 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish, Korean

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

No prior experience required.

Approximately 3 months to complete

Suggested pace of 3 hours/week

English

Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish, Korean

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 3 Courses in this Specialization

Course1

Course 1

Introduction to Artificial Intelligence (AI)

4.7

stars

8,616 ratings

•

1,858 reviews

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.

Course2

Course 2

Getting Started with AI using IBM Watson

4.5

stars

2,327 ratings

•

443 reviews

In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.

Course3

Course 3

Building AI Powered Chatbots Without Programming

4.8

stars

2,069 ratings

•

463 reviews

This course will teach you how to create useful chatbots without the need to write any code.

Leveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them. True to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. Don't have a website? No worries, one will be provided to you. Chatbots are a hot topic in our industry and are about to go big. New jobs requiring this specific skill are being added every day, consultants demand premium rates, and the interest in chatbots is quickly exploding. Gartner predicts that by 2020, 85% of customer interactions with the enterprise will be through automated means (that's chatbots and related technologies). Here is your chance to learn this highly in demand set of skills with a gentle introduction to the topic that leaves no stone unturned.

Instructors

Rav Ahuja

Global Program Director

IBM Skills Network

934,730 Learners

29 Courses

Antonio Cangiano

Software Developer and Technical Evangelist

IBM Developer Skills Network

42,633 Learners

4 Courses

Offered by

IBM

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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.