Track · LinkedIn Learning

LinkedIn Learning: AI literacy

Six vendor-neutral LinkedIn Learning courses, about seven and a half hours, that build AI literacy in the order the ideas depend on each other: what AI is and how predictive differs from generative (Introduction to Artificial Intelligence, What Is Generative AI?), then how to talk to it (Introduction to Prompt Engineering, hands-on in Copilot, ChatGPT, Gemini and Claude), then how the models work underneath (Introduction to Large Language Models), and finally the judgement to use them well (Ethics in the Age of Generative AI, Responsible AI). Each course ends with a certificate of completion.

6 courses · ≈ 7h 51m total · included with Stanford's LinkedIn Learning access

Before you start, Stanford context: LinkedIn Learning is free to Stanford and SLAC faculty, benefits-eligible staff and students with a full-service SUNet ID. Sign in through Axess (Employee Center tab) so your progress and certificates attach to your Stanford account; see LinkedIn Learning at Stanford. These courses are vendor-neutral: pair them with the ChatGPT Edu, Claude or Gemini tracks for hands-on practice in the tools Stanford provides.

The sequence

Introduction to Artificial Intelligence beginner2h 26mLinkedIn Learning Doug Rose's overview for non-specialists: what counts as intelligence in a system, predictive versus generative AI, and the basics of machine learning algorithms, neural networks, … Open What Is Generative AI? beginner1h 3mLinkedIn Learning Pinar Seyhan Demirdag's primer on generative AI: its history, the popular models, how it works and the ethical implications, framed for any profession rather than for engineers. 1h… Open Introduction to Prompt Engineering for Generative AI beginner1h 3mLinkedIn Learning Ronnie Sheer on writing high-impact prompts: what language models are and which problems they solve, responsible text generation, hands-on prompting in Copilot, ChatGPT, Gemini and… Open Introduction to Large Language Models intermediate1h 17mLinkedIn Learning Jonathan Fernandes explains what LLMs are and what they can do, how they are trained and what they are made of, then compares BERT, GPT-3, PaLM, ChatGPT and GPT-4, and Llama using … Open Ethics in the Age of Generative AI beginner45 minLinkedIn Learning Vilas Dhar, president of the Patrick J. McGovern Foundation, on the ethical risks of generative AI and a framework for analysing them, then how to prepare an organisation to handle… Open Responsible AI: Principles and Practical Applications beginner1h 17mLinkedIn Learning Tsu-Jae Liu, dean of engineering at UC Berkeley, with Brandie Nonnecke and Jill Finlayson, on why responsible AI matters as organisations automate, with practical examples of fairn… Open

This track follows LinkedIn Learning's own progression; courses open on the vendor's site. Content and availability are controlled by the vendor.