IBM AI Foundations for Business
IBM via Coursera Specialization
Overview
Class Central Tips
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)
- Offered by IBM. In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI ... Enroll for free.
Course 2: What is Data Science?
- Offered by IBM. The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census ... Enroll for free.
Course 3: The AI Ladder: A Framework for Deploying AI in your Enterprise
- Offered by IBM. This course is intended for business and technical professionals involved in strategic decision-making focused on bringing ... Enroll for free.
- Offered by IBM. In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI ... Enroll for free.
Course 2: What is Data Science?
- Offered by IBM. The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census ... Enroll for free.
Course 3: The AI Ladder: A Framework for Deploying AI in your Enterprise
- Offered by IBM. This course is intended for business and technical professionals involved in strategic decision-making focused on bringing ... Enroll for free.
Courses
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3 reviews
3 weeks long, 8 hours worth of material
View detailsThe 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 working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today. -
1 review
4 weeks long, 9 hours worth of material
View detailsIn 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. -
0 reviews
1 week long, 2 hours worth of material
View detailsThis 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.
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