Day 96 of #100daysofnetworks
Training Enrollment Opening and More Helpful Books!
Hello everyone! In the last two articles, I mentioned that I would be opening enrollment for training very soon! Here are the articles, in case you missed them.
I made two polls on LinkedIn to see what people were most interested in for first courses, and here are the results!
These results are really interesting. They tell me a few things:
GraphRAG from Scratch has the most demand! I didn’t expect that at all!
OSINT for Everyone is right behind it
But I am also really excited to see interest in the other topics. I’ll rank them.
DataOps: Dataflow Mapping
AI for Everyone
OSINT for Lead Generation
ML for Everyone
Data Science for Everyone!
I’m especially excited about #3 and #6. Figuring out how to map dataflows is what led me to OSINT, and it is a very useful skill for anyone who works in Software Engineering, Data Operations, Data Engineering, or Cybersecurity. This is part of Data Observability work. If you work in Data, you really should learn this from me. I do not know of anyone else who does it or teaches it, and I literally have a jacket from giving a presentation on it back in 2019 at an Innovation Summit. It is incredibly useful.
ML for Everyone will be a lot of fun, as well, as I teach lean and mean approaches. I also have a track record of excellence, having won first place in a Cybersecurity company for malware/ransomware detection. I am very good at this and you should learn from me.
I like these “For Everyone” courses. I enjoy demystifying things and making them approachable to everyone. I should have enrollment ready on my website early next week, and then will be teaching courses right away after that. There is already demand, and I am excited to get started!
Ok, for the rest of this article, I am going to write about OSINT books, so I will put a paywall here. If you would like to read about OSINT, please upgrade to a paid subscription! Thank you for reading!
To the paying readers, thank you for your continued support! Here we go!
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