AWS's foundation plan covering AI, machine learning and generative AI concepts, real use cases, responsible AI, prompting and governance. It is more technical than the decision-maker plan and prepares learners for the AWS Certified AI Practitioner exam, which is open to business roles.
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
Explain core AI, machine learning and generative AI concepts
Identify suitable AI use cases and their limits
Apply responsible AI and governance practices
Write effective prompts for foundation models
Prepare for the AWS Certified AI Practitioner exam
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
Skill Builder page could not be loaded directly; course list and free status confirmed from secondary sources
Several modules are technical and AWS-specific
Exam costs extra
Duration estimated at about one hour per course
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
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