IBM AI Foundations for Business

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Product is rated as #11 in category Data Science
Learning Experience9.4
Content Rating9.6

IBM AI Foundations specialization will explain the overall focus areas for business leaders considering AI-based solutions for business challenges.

Last updated on March 15, 2021 8:42 pm

About this Course

This IBM AI Foundations 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.

What you will learn from this course

  • 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.

Syllabus

There are 3 Courses in this Specialization

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 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.

Course 2. What is Data Science?

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 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.

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 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.

Project for IBM AI Foundations for Business

Each of the courses in this specialization include Checks for Understanding, which are designed to assess each learner’s ability to understand the concepts presented as well as use those concepts in actual practice. Specifically, those concepts are related to introductory knowledge regarding 1) artificial intelligence; 2) data science, and; 3) the AI Ladder.

Note: Your review matters

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

$39.00

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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Business AI Data Science IBM Watson Studio
Learning Experience
9.4
Content Rating
9.6
PROS: Great way to start your way in the AI world Practicle understanding to deploy AI in business enterprises Fascinating introduction to IBM Watson
CONS: Some of the videos are monotonous Courses are much introductiory

Description

About this Course

This IBM AI Foundations 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.

What you will learn from this course

  • 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.

Syllabus

There are 3 Courses in this Specialization

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 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.

Course 2. What is Data Science?

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 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.

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 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.

Project for IBM AI Foundations for Business

Each of the courses in this specialization include Checks for Understanding, which are designed to assess each learner’s ability to understand the concepts presented as well as use those concepts in actual practice. Specifically, those concepts are related to introductory knowledge regarding 1) artificial intelligence; 2) data science, and; 3) the AI Ladder.

Note: Your review matters

If you have already done this course, kindly drop your review in our reviews section. It would help others to get useful information and better insight into the course offered.

FAQ

Specification:

  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Business AI Data Science IBM Watson Studio

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IBM AI Foundations for Business
IBM AI Foundations for Business

$39.00

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