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

24,062 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(1,725 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

(1,725 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
  • Category: Data Mining
  • Category: Artificial Intelligence and Machine Learning (AI/ML)
  • Category: Data Literacy
  • Category: ChatGPT
  • Category: Data Strategy
  • Category: Data Analysis
  • Category: Data Science
  • Category: Cloud Computing
  • Category: Large Language Modeling
  • Category: Information Architecture
  • Category: Big Data

Details to know

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Taught in English
Recently updated!

May 2025

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

Specialization - 3 course series

What you'll learn

  • Explain the fundamental concepts and applications of AI in various domains.

  • Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

  • Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

  • Design a generative AI solution for an organizational challenge, integrating ethical considerations.

Skills you'll gain

Category: Natural Language Processing
Category: Generative AI
Category: Machine Learning
Category: ChatGPT
Category: Artificial Intelligence
What is Data Science?

What is Data Science?

Course 211 hours

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: Deep Learning
Category: Data Analysis
Category: Data Science
Category: Data Mining
Category: Data-Driven Decision-Making
Category: Cloud Computing
Category: Machine Learning
Category: Big Data
Category: Data Literacy
Category: Digital Transformation
Category: Artificial Intelligence

What you'll learn

Skills you'll gain

Category: Innovation
Category: Data Management
Category: Business Strategy
Category: Business Process Automation
Category: Enterprise Architecture
Category: Data Architecture
Category: Analysis
Category: Artificial Intelligence
Category: Analytics
Category: Business Technologies
Category: Strategic Decision-Making
Category: Leadership
Category: Data Strategy
Category: Information Architecture
Category: Digital Transformation

Earn a career certificate

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Instructors

Alex Aklson
Alex Aklson
IBM
22 Courses1,257,068 learners

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IBM
IBM

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