Elements of AI rates higher, at 4.6 out of 5 against 3.8. Our rating weighs relevance, cost and access, provider, credential and currency. The better choice depends on who you are: AI For Everyone suits managers and professionals who need to understand AI well enough to lead or sponsor AI work, with no coding; Elements of AI suits any working adult who wants a solid, non-technical grounding in how AI works before using it at work.

AI For Everyone vs Elements of AI

Elements of AI rates higher, at 4.6 out of 5 against 3.8. AI For Everyone is quicker, at about 7 hours against 36 hours. Only Elements of AI gives a free certificate. Choose AI For Everyone if you are managers and professionals who need to understand AI well enough to lead or sponsor AI work, with no coding; choose Elements of AI if you are any working adult who wants a solid, non-technical grounding in how AI works before using it at work.

Detail	AI For Everyone	Elements of AI
Provider	DeepLearning.AI	University of Helsinki
Our rating	3.8	4.6
Cost	Free	Free
Time	7 hours	36 hours
Level	Beginner	Beginner
Credential	certificate of completion (US$49 on Coursera (about A$70), or DeepLearning.AI PRO)	certificate of completion (free)
Open to	Worldwide	Worldwide
Free in	Worldwide	Worldwide
Content written for	United States	Any country
Summary	Andrew Ng's non-technical course on what AI can and cannot do, how AI projects run and how a company can build its AI capability. It is the most widely taken business-focused AI primer and suits managers who need to spot sensible AI opportunities.	A plain-language introduction to what AI is, how it solves problems and how machine learning and neural networks work, with no programming or heavy maths. It closes by looking at what AI means for jobs and society. One of the most widely taken free AI courses in the world.
Objectives	Use core AI terms such as machine learning and deep learning correctly Judge realistically what AI can and cannot do Spot opportunities to apply AI in your organisation Understand how machine learning and data science projects run Work with technical teams to shape an AI strategy Think through the ethical and social side of AI	Explain what AI is and is not, and how it relates to nearby fields Describe how AI searches for solutions and handles uncertainty using probability Tell the main types of machine learning apart and give examples Outline how neural networks are built and what they are good at Judge claims about AI in the news more critically Discuss the likely social and workplace effects of AI
Things to know	Recorded before the generative AI boom; pair with Generative AI for Everyone Coursera free access is now a preview of the first module only; take it free on deeplearning.ai instead US-centric examples Account sign-up required	Provider estimates 4 to 8 hours per part across 6 parts, so total time is about 24 to 48 hours Content predates much of the generative AI wave, so it covers foundations rather than tools like ChatGPT ECTS credits only available through the Open University of the University of Helsinki Free account needed to track progress and get the certificate
Our course page	AI For Everyone	Elements of AI

AI For Everyone

Andrew Ng's non-technical course on what AI can and cannot do, how AI projects run and how a company can build its AI capability. It is the most widely taken business-focused AI primer and suits managers who need to spot sensible AI opportunities.

You will be able to

Use core AI terms such as machine learning and deep learning correctly
Judge realistically what AI can and cannot do
Spot opportunities to apply AI in your organisation
Understand how machine learning and data science projects run
Work with technical teams to shape an AI strategy
Think through the ethical and social side of AI

Read our AI For Everyone page

Elements of AI

A plain-language introduction to what AI is, how it solves problems and how machine learning and neural networks work, with no programming or heavy maths. It closes by looking at what AI means for jobs and society. One of the most widely taken free AI courses in the world.

You will be able to

Explain what AI is and is not, and how it relates to nearby fields
Describe how AI searches for solutions and handles uncertainty using probability
Tell the main types of machine learning apart and give examples
Outline how neural networks are built and what they are good at
Judge claims about AI in the news more critically
Discuss the likely social and workplace effects of AI

Read our Elements of AI page

Questions

Which is better?: Elements of AI rates higher, at 4.6 out of 5 against 3.8. Our rating weighs relevance, cost and access, provider, credential and currency. The better choice depends on who you are: AI For Everyone suits managers and professionals who need to understand AI well enough to lead or sponsor AI work, with no coding; Elements of AI suits any working adult who wants a solid, non-technical grounding in how AI works before using it at work.
Which is quicker?: AI For Everyone is quicker, at about 7 hours against 36 hours.
Which gives a free certificate?: Only Elements of AI gives a free certificate.

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