Overview
This specialization will explain and describe the overall focus areas for business leaders considering AI-based solutions for business challenges. The first course provides a business-oriented summary of technologies and basic concepts in AI. The second will introduce the technologies and concepts in data science. The third introduces the AI Ladder, which is a framework for understanding the work and processes that are necessary for the successful deployment of AI-based solutions.
Syllabus
Course 1: Introduction to Artificial Intelligence (AI)
- In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and ... Enroll for free.
Course 2: What is Data Science?
- Do you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be ... Enroll for free.
Course 3: The AI Ladder: A Framework for Deploying AI in your Enterprise
- This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their ... Enroll for free.
- In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and ... Enroll for free.
Course 2: What is Data Science?
- Do you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be ... Enroll for free.
Course 3: The AI Ladder: A Framework for Deploying AI in your Enterprise
- This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their ... Enroll for free.
Courses
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Do you want to know why Data Science has been labelled as the sexiest profession of the 21st century? After taking this course you will be able to answer this question, and get a thorough understanding of what is Data Science, what data scientists do, and learn about career paths in the field.
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people using data to derive insights and predict outcomes have carved out a unique and distinct field for the work they do. This field is data science.
In today's world, we use Data Science to find patterns in data, and make meaningful, data driven conclusions and predictions.
This course is for everyone, and teaches concepts like Machine Learning, Deep Learning, and Neural Networks and how companies apply data science in business.
You will meet several data scientists, who will share their insights and experiences in Data Science. By taking this introductory course, you will begin your journey into the thriving field that is Data Science! -
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.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not. -
This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises. After completing this course you will be able to explain and describe each of the steps required to ensure success when you build and deploy AI solutions in your business enterprise.
Taught by
Alex Aklson, Mark J Grover, Polong Lin, Rav Ahuja and Ray Lopez, Ph.D.