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.
IBM AI Foundations for Business Specialization
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IBM AI Foundations for Business Specialization
Instructors: Alex Aklson
26,620 already enrolled
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Get in-depth knowledge of a subject
(1,845 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(1,845 reviews)
Beginner level
No prior experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Data Architecture
- Information Architecture
- Business Strategy
- Business Process Automation
- Strategic Decision-Making
- Content Creation
- Cloud Computing
- Data Science
- Data Analysis
- Business Intelligence
- Responsible AI
- Natural Language Processing
- Enterprise Architecture
- Leadership
- Data Mining
- Data Literacy
- Data-Driven Decision-Making
- Big Data
- Digital Transformation
Tools you'll learn
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
42 practice exercises
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: Generative AI
Category: Risk Mitigation
Category: Content Creation
Category: Business Intelligence
Category: Natural Language Processing
Category: Responsible AI
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: Cloud Computing
Category: Machine Learning
Category: Digital Transformation
Category: Data Analysis
Category: Deep Learning
Category: Artificial Intelligence
Category: Data-Driven Decision-Making
Category: Data Mining
Category: Data Literacy
What you'll learn
Skills you'll gain
Category: Information Architecture
Category: Artificial Intelligence
Category: Data Collection
Category: Data Management
Category: Innovation
Category: Business Process Automation
Category: Analytics
Category: Leadership
Category: Strategic Decision-Making
Category: Technology Strategies
Category: Enterprise Architecture
Category: Data Analysis
Category: Business Strategy
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Frequently asked questions
Total time to complete this Specialization is approximately 20 hours.
Introduction to AI - approximately 8 hours
What is Data Science? - approximately 9 hours
AI Ladder - approximately 3 hours
No prior knowledge of artificial intelligence, machine learning, or data science is needed.
It is strongly suggested that learners complete the courses in the order presented.
More questions
Financial aid available,