AI Foundations for Everyone Specialization

Start Date: 05/31/2020

Course Type: Specialization Course

Course Link:

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About Course

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.

Course Syllabus

Introduction to Artificial Intelligence (AI)
Getting Started with AI using IBM Watson
Building AI Powered Chatbots Without Programming

Deep Learning Specialization on Coursera

Course Introduction

AI Foundations for Everyone Specialization AI is not only for engineers. This non-technical course will introduce you to the most important principles of AI. You will learn how AI works, what it can do, and how to use AI in your everyday life. We’ll cover topics like how AI systems work, how they are built, how they are tested, and how to get the most out of your training. We’ll also cover some of the most common AI topics like human-level AI, robotics, and big data. This is the "A-level" of AI, where you will apply what you’ve learned to solve real world problems. This is the equivalent of taking a course on AI at the graduate level and moving on to the more advanced course at the end of the Specialization. To get the most out of this course, you will need to pass several milestones. First, you must complete "Intro to AI" ( In this course, we will focus on concepts and topics at a high level. Then, you will need to take the "Final Exam" ( and take "Procrastination and Blockade" ( After taking this course, you

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Specialization (pre)order The specialization order is often considered in applications in computer science, where T spaces occur in denotational semantics. The specialization order is also important for identifying suitable topologies on partially ordered sets, as it is done in order theory.
Specialization (pre)order The specialization order yields a tool to obtain a partial order from every topology. It is natural to ask for the converse too: Is every partial order obtained as a specialization order of some topology?
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