IBM
IBM AI Foundations for Business Specialization
IBM

IBM AI Foundations for Business Specialization

Alex Aklson
Rav Ahuja
Mark J Grover

Instructors: Alex Aklson +3 more

19,809 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(1,543 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(1,543 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

Skills you'll gain

  • Category: Artificial Intelligence (AI)
  • Category: Data Science
  • Category: Leadership
  • Category: Information Technology (IT) Architecture
  • Category: Data Architecture

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

November 2024

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 3 course series

Introduction to Artificial Intelligence (AI)

Course 113 hours4.7 (15,358 ratings)

What you'll learn

  • Describe what AI is and explain the core concepts related to AI

  • Demonstrate how AI applications and use cases can transform our lives and our work

  • Recognize the potential and impact of AI to transform businesses and careers

  • Describe the issues, limitations, and ethical concerns surrounding AI

Skills you'll gain

Category: Generative AI
Category: AI ethics
Category: Natural Language Processing
Category: Machine Learning
Category: Artificial Intelligence

What is Data Science?

Course 211 hours4.7 (73,101 ratings)

What you'll learn

  • Define data science and its importance in today’s data-driven world.

  • Describe the various paths that can lead to a career in data science.

  • Summarize  advice given by seasoned data science professionals to data scientists who are just starting out.

  • Explain why data science is considered the most in-demand job in the 21st century.

Skills you'll gain

Category: Data Science
Category: Big Data
Category: Machine Learning
Category: Deep Learning
Category: Data Mining

What you'll learn

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Analytics
Category: Leadership
Category: Management
Category: Innovation

Instructors

Alex Aklson
Alex Aklson
IBM
22 Courses1,154,473 learners

Offered by

IBM
IBM

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions