AI Foundations for Developers #1: What Are Vectors?

I’ve started a new video series called AI Foundations for Developers.

This series is aimed at software engineers who want to understand
how modern AI systems work from first principles — not just by
using frameworks or copying code.

Most AI content today jumps straight into tools like LangChain,
RAG pipelines, or AI agents. But without understanding the basics,
it’s hard to reason about design choices or debug issues in production.

In the first video of the series, I focus on a very fundamental question:

👉 What exactly is a vector, and why does AI represent information as vectors?

Here’s the video:

Over the next videos, I’ll be covering topics like:

• Dense vs sparse vectors
• Vector databases
• Hybrid search
• RAG systems
• AI agents, memory, and protocols

If you’re a developer planning to build AI-powered features,
this series is meant to give you clarity and strong foundations.