I am a govt. employee based in Singapore and a tech enthusiast. I tried to take some data science courses, learn python, etc. but found pure coding challenging and hard to grasp. Instead, I discovered that I have quite a natural flair for GenAI. Since 2024, I have been experimenting, building and also teaching others about prompting, RAG, etc. purely based on my experience with prompting and hands-on practice.
Some of the basic questions that I struggle with is How do I bring more structure and gravitas to my own AI learning journey - where should I start first, where should I go next. For example, I completed DLAI’s ‘AI for everyone’ and am in the middle of the course ‘GenAI for everyone’. I found them useful but would like to know what should I do next. There are just too many courses out there vying for attention (look at DLAI platform now!!!). How should I curate deep enough understanding to be able to build workflows, apps etc. How does my learning journey look like to do that, as a non-coder.
I totally understand your point about traditional coding becoming less and less the default preference/choice when it comes to learning programming an building apps — for instance DeepLearning.AI just released a new course today that further validates your observation
With regards to your question about structure and overwhelm, here’s our current best attempt at curation for the community
Feel free to share your feedback about the tool if you have any, don’t hold back. We are always looking for ways to improve it and make the learning experience better for the community