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
26,320 already enrolled
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Get in-depth knowledge of a subject
4.7
(1,838 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
4.7
(1,838 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
- Digital Transformation
- Big Data
- Cloud Computing
- Information Architecture
- Natural Language Processing
- Data Governance
- Computer Science
- Data Mining
- Data Strategy
- Data Architecture
- Data Literacy
- Data Analysis
- Strategic Decision-Making
- Business Strategy
- Data Science
- Leadership
- Enterprise Architecture
- Data-Driven Decision-Making
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: Business Intelligence
Category: Content Creation
Category: Data Governance
Category: Computer Science
Category: Natural Language Processing
Category: Robotic Process Automation
Category: ChatGPT
Category: Business Ethics
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: Data Analysis
Category: Deep Learning
Category: Digital Transformation
Category: Machine Learning
Category: Data Literacy
Category: Data Mining
Category: Artificial Intelligence
Category: Data-Driven Decision-Making
What you'll learn
Skills you'll gain
Category: Information Architecture
Category: Artificial Intelligence
Category: Data Management
Category: Business Process Automation
Category: Leadership
Category: Digital Transformation
Category: Enterprise Architecture
Category: Data Strategy
Category: Analytics
Category: Analysis
Category: Strategic Decision-Making
Category: Business Technologies
Category: Data Architecture
Category: Innovation
Category: Business Strategy
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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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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,