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Artificial Intelligence Fundamentals

by IBM SkillsBuild · IBM SkillsBuild

10-20 hoursUpdated 2026-06

Our Verdict

Worth it — with caveats

Artificial Intelligence Fundamentals is a free, beginner-level learning plan from IBM SkillsBuild, IBM's social-responsibility upskilling program. It walks newcomers through the history of AI, core ideas (machine learning, deep learning, NLP, computer vision, chatbots, neural networks), AI ethics, and the job landscape, with a short hands-on activity running AI models in IBM Watson Studio. Most learners finish in about 10-20 hours and earn an IBM digital credential (issued via Credly) they can post to LinkedIn. It is conceptual rather than code-heavy, so it suits non-technical learners and career explorers more than aspiring ML engineers.

A solid, genuinely free conceptual primer with a recognized IBM badge, but light on hands-on coding, so it is best as an awareness/credential builder rather than a path to building ML systems.

Best for: Beginners, students, and career changers who want a structured, vendor-backed overview of AI concepts plus a shareable IBM credential.

Skip if: Learners who want to write substantial ML/Python code or build and deploy real models from scratch.

About This Course

IBM SkillsBuild's free, beginner learning plan covering the history, core concepts, and ethics of AI (machine learning, deep learning, NLP, computer vision) with hands-on practice in IBM Watson Studio, leading to an IBM digital credential.

What You'll Learn

What AI is and a brief history of the field
Core differences between machine learning and deep learning
How NLP, computer vision, chatbots, and neural networks are used
Key AI ethics considerations
Running AI models in IBM Watson Studio
Career paths and roles in AI

Curriculum

Introduction to Artificial Intelligence

History, definitions, and real-world applications of AI.

Natural Language Processing and Computer Vision

How machines process language and images.

Machine Learning and Deep Learning

Core concepts behind ML and deep neural networks.

Run AI Models with IBM Watson Studio

Hands-on activity building/running models in Watson Studio.

AI Ethics

Bias, fairness, and responsible use of AI.

Your Future in AI: The Job Landscape

AI career paths and how to get started.

Instructor

IBM SkillsBuild

Instructor · IBM SkillsBuild

Pros & Cons

Pros

  • Completely free with a recognized IBM digital badge (via Credly)
  • Clear, structured beginner path covering breadth of AI topics
  • Includes a hands-on Watson Studio activity, not just reading
  • Strong on AI ethics and careers, useful for non-technical roles

Cons

  • Conceptual and awareness-level; minimal real coding
  • Hands-on portion is tied to IBM Watson Studio
  • Requires creating a SkillsBuild account to access and earn the badge

Alternatives To Consider

How we reviewed this course

This is an independent editorial assessment by Cursarium, based on IBM SkillsBuild's published course materials and aggregated public learner feedback (last reviewed 2026-06). We have not independently completed the course. Links to providers are standard references, not paid placements.