For the past few years, I’ve been working as an Application Developer.
While building software and working on different systems, I started noticing something interesting — AI is slowly becoming part of almost every product we use today.
From recommendation systems to chatbots and automation, AI is no longer something futuristic. It’s already shaping the products people interact with daily.
At the same time, I’ve been exploring a transition into Product Management.
And during this process, I realized something important: if I want to work on building meaningful products in the future, I need to understand how AI actually works, not just use the tools.
So I decided to start a small learning experiment.
For the next 30 days, I’ll document what I’m learning about:
- Artificial Intelligence
- Machine Learning
- Large Language Models (LLMs)
- How AI-powered features are built into products
- How technical knowledge can help in Product Management
I’m not writing this as an expert.
I’m writing this as someone who is learning step by step and trying to simplify these concepts so others can understand them too.
My goal is simple:
to break down AI concepts in a way that makes sense even if you’re new to the topic.
If you're also curious about AI, product management, or transitioning roles in tech, maybe this series will be useful for you as well.
This is Day 0 of a 30-day journey.
Next topic:
What exactly is Artificial Intelligence?
If you’re also learning AI or transitioning into product roles, I’d love to hear about your journey as well.
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