Ep88: Generative AI & Graph + Iterative AI Development

I did just give a technical virtual workshop on generative AI and Graphrag and Graph Academy, which is where I ran the content for the workshop training.

has had a complete makeover that is really impressive.

I think I have mentioned the updates to Graph Academy in previous episodes, but this was really my first entrance into presenting and working in that content and in that environment in a while.

And I must say I was really impressed with it.

It was a really nice experience for me as the presenter and speaker, but also I think for attendees and anyone who might go back later and rewatch recordings or visit content later on.

There's some really nice navigation.

It's a much smoother integration between spinning up databases and working in coding tools and integrating with external services and other things like that.

And it's a much more seamless experience.

You're not having to jump around near as much as what you used to.

There are also a lot of AI tool integrations, too.

There's a really nice integration to work with an AI to build your own data model in case you might not be familiar with graph or how to construct that or how to put your use case or your project idea into a graph or into an actual project format.

There's an integration inside Graph Academy that will help you build out a lot of those details.

There are some courses that will auto-generate API keys to use during the course, which is, I think, really nice and a much more seamless experience than someone, the instructor or whoever trying to create something that then they have to be careful to shut down and everybody's using the same key.

So having something that is automatically created and gets closed out nicely and cleanly and can't be abused or overused is really nice.

also a lot of the courses come with a browser-based code environment so there's no download or local setup install and steps that are required during that process i find this really nice and a much better experience from someone who is a Java developer.

There's some courses in Python or there's some that are focusing on other technologies.

And for me to be able to spin up a working, ready to go environment that's entirely browser based without having to set up my local environment for all of that stuff, I think is extremely valuable and much easier to learn.

There's always public and accessible content as well for these courses.

So you can access the data sets, you can access the course content, all of it's public and always on and always available, which is really nice in case you want to go revisit something or, hey, I can't remember where I learned this thing.

I need to go back to this course and review these lessons or what have you.

There's also some built-in data sets and AI tools to help you build what you're interested in, which I find really nice.

So if you haven't checked out Neo4j Graph Academy in a while, I definitely recommend you go out and either review a course you've already taken to refresh your memory or try one of the new courses that has been spun up.

There's some really nice, great things that have been added to that that will hopefully make your experience better than perhaps the last time you tried it.