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Introduction to Artificial Intelligence (AI)

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work.

Introduction to Artificial Intelligence (AI) is a beginner-level online course from Coursera in Artificial Intelligence. It is structured in 4 modules with 4 stated learning outcomes, over 13h 25m. Learners rate it 4.7/5 from 23.3K ratings on Coursera.

Part of our Artificial Intelligence courses collection, where we compare it against 32 other courses.

★★★★★4.7(23.3K reviews) English

Course highlights

Provider Coursera
Duration 13h 25m
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.7★ (23.3K reviews)
Price Check price

About this course

Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. This course, offered by IBM on Coursera, introduces the fundamental concepts and applications of AI across various domains. You will explore the core principles of machine learning, deep learning, and neural networks, learning how to apply them to real-world scenarios. The programme also examines the role of generative AI in transforming business operations, helping you identify opportunities for innovation and process improvement.

Designed for beginners, the course requires no prior technical knowledge. It is suitable for students, professionals, and enthusiasts interested in learning the fundamentals of AI. The self-paced format, lasting 13 hours and 25 minutes, allows you to learn on your own schedule. All content is delivered in English.

By the end of the course, you will be able to explain fundamental AI concepts and their applications, describe the core principles of machine learning and deep learning, analyze the role of generative AI in business transformation, and design a generative AI solution for an organizational challenge while integrating ethical considerations. A certificate is available upon completion, though access to graded assessments and the certificate requires purchasing the Certificate experience or starting a free trial.

This course does not cover advanced mathematical foundations or hands-on programming projects in depth. Learners seeking deep technical training in Python-based machine learning or advanced neural network architecture should consider more specialized courses. Those interested in applying AI specifically to digital marketing may find the "Artificial Intelligence In Digital Marketing" Udemy course a relevant complement.

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.

Level and time commitment

Coursera lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.
What the provider says you need first:
  • This course is suitable for everyone, including students, professionals, and enthusiasts interested in learning about the fundamentals of AI.
Time commitment: 13h 25m.
It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Agentic systemsPrompt PatternsGenerative AIResponsible AIPrompt Engineering ToolsMachine Learning MethodsGenerative AI AgentsLLM ApplicationAI literacyNatural Language ProcessingGenerative Model ArchitecturesRisking

What this course covers

4 modules

The 4-part outline Coursera publishes for this course, across 13h 25m.

Module 1 · Introduction and Applications of AI
Module 2 · AI Concepts, Terminology, and Application Domains
Module 3 · Business and Career Transformation Through AI
Module 4 · Issues, Concerns, and Ethical Considerations

What learners rate it

4.7
★★★★★
23.3K ratings

Rated 4.7/5 by 23.3K learners on Coursera (checked 10 Aug 2026).

This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →

How this page is put together

Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 10 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Introduction to Artificial Intelligence (AI) This Coursera 4.7★ Check price 13h 25m Most popular — 0 learners
YUVA AI for ALL Coursera 4.8★ Check price 8h 35m Highest rated (4.8★ from 433 reviews)
Artificial Intelligence (AI) Education for Teachers Coursera 4.7★ Check price 20h 1m Beginner-friendly · 20h 1m
Innovations in Investment Technology: Artificial Intelligence Coursera 4.7★ Check price 10h 25m Beginner-friendly · 10h 25m
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Common questions

How much does Introduction to Artificial Intelligence (AI) cost?

Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

Does Introduction to Artificial Intelligence (AI) come with a certificate?

Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

How long does Introduction to Artificial Intelligence (AI) take?

Coursera lists it at 13h 25m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Introduction to Artificial Intelligence (AI) suitable for beginners?

Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.

What does Introduction to Artificial Intelligence (AI) cover?

It is organised into 4 modules, starting with Introduction and Applications of AI and going on to AI Concepts, Terminology, and Application Domains, Business and Career Transformation Through AI, Issues, Concerns, and Ethical Considerations. The full outline is on this page.