Education 11 Jun 2025
AI Education
AI is a tool in any good developers belt. We have the processing power and the assets available now so that there is no reason to not use it when applicable. The question now isn't whether to learn the tool, but what is the best way to do it.


Learning Opportunities
Continuing education is the responsibility of any professional. My current extra credit hours are all in AI and ML learning, and frankly what I've learned more than anything is that most of the current resources on the internet are incomplete or just plain bad.
To that end, for the sake of those joining us, and of course for my own personal reference, this is going to be more of a live article collecting resources as I find them. So, without further ado, below are the sources that have pushed me the furthest.
- Youtube of course, but one channel I've found particularly useful is @3blue1brown
- Harvard and MIT Online Learning have certifications available for numerous course work, ranging from Calculous to data processing. I am currently in the midst of one of these courses, and will update as I progress.
- LangChain / LangGraph - have some fantastic tutorials to get started with Agentic workflows. While there are many API's such as CrewAI, almost all of them seem to use LangGraph under the covers anyway.
- https://krasserm.github.io - a fantastic blog that covers various AI implementations in traditional modeling.
- I started learning from Andrew Ng courses years ago. He still remains a significant force and now has collections of courses at https://www.deeplearning.ai