@Rachel Dbeis yes, looks like I can comment this morning. 😊

@Rachel Dbeis This is a really great intro that demystifies the AI hype, and I’d love to see where you go next with this. Are you planning on another course that explains how to put it in to practice? Like you mentioned, we’re all exposed to AI throughout the day without even thinking about it. The satnav that changes route as it combines live traffic with historical patterns, the unmanned baggage scanner at the airport, etc etc. I also think a lot of people have intentionally used the public large language models like ChatGPT etc, maybe a bit of image and video generation for fun (I remodelled my kitchen with Google Gemini), but of course, none of those directly align with the 3 mentioned case studies, which are much more complex. For example a clinic that wants to improve appointment attendance might use ChatGPT or similar for some aspects like email or text message generation, but it wouldn’t work how most people know ChatGPT. The solution would combine several elements: AI bits, data sources, logic as code or codeless solutions, interfaces to existing systems. Crikey I think I’ve got a bit carried away 😅 but you get the picture. So, is a second course on the cards? 😉

@Rachel Dbeis got it. I think just the name might help some people.

It would be great if saving was automatic after each section of each module.