The student version of Anthropic's AI Fluency course: using AI as a learning partner and in career planning while staying the human in the loop. Co-developed with Prof. Joseph Feller and Prof. Rick Dakan. Useful for graduates and early-career workers as well as students.
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 the 4D framework to work with AI on study and assignments responsibly
Use AI as a learning partner without outsourcing the learning
Apply AI to career planning and job search
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
Requires the foundations course first
Duration not stated
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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