Big Data & AI

A lot of people are thinking about moving into AI right now.
But if you don’t come from a technical background, it’s hard to know what’s real and what’s just noise.
You’ll see advice like “learn Python,” “build projects,” “start with machine learning.” But no one really explains how it all fits together, or what actually matters.
This session is meant to bring clarity.
We’ll talk about what it actually takes to move into AI from a non-tech background. Not in a motivational way, but in a practical, grounded way based on how people have actually done it.

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Who This Is For

• Professionals from non-technical backgrounds exploring AI
• People considering a career shift into Data Science or Machine Learning
• Anyone unsure where to start or what to focus on
• Learners who want a structured path instead of random tutorials

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What We’ll Cover

• What “moving into AI” really means (and what it doesn’t)
• The actual skills you’ll need, beyond just tools
• Whether coding is necessary, and how much
• How long it realistically takes to become job-ready
• Common mistakes people make when switching to AI
• What a practical roadmap looks like

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Why This Session Matters
There’s a big gap between what people think entering AI looks like and what it actually involves. If you don’t understand that gap early, you can spend months learning the wrong things. This session is meant to help you avoid that and move forward with a clearer direction.
Reserve your seat and gain a clear understanding of what it really takes to move into AI from a non-tech background.