What It Takes to Become an AI Engineer — Live Breakdown

Hosted by Vivian Aranha

In this video

What you'll learn

Understand the AI Engineer Skill Stack

Learn the four-layer AI engineering model and how each layer fits into real-world systems.

See a Real AI System Built End-to-End

Walk through data, models, APIs, and deployment to understand how AI works in production.

Learn the Fastest Path to Become Job-Ready

Get a clear roadmap of projects, tools, and habits that turn AI knowledge into real skills.

Why this topic matters

Many people learn AI concepts but struggle to turn them into real systems. This topic matters because AI engineering is about building, deploying, and maintaining models in production—not just training them. Understanding the full AI engineer skill stack helps learners avoid dead ends, build job-ready skills, and confidently work on real-world AI projects that employers actually value.

You'll learn from

Vivian Aranha

Founder and AI Instructor, School of AI

Vivian Aranha is an AI engineer and founder of the School of AI, teaching thousands worldwide to build production-ready AI systems. His engineering-first approach focuses on real projects, deployment, and practical skills—helping students move beyond theory and confidently build, ship, and own end-to-end AI systems.

Go deeper with a course

AI Engineer Complete Bootcamp
Vivian Aranha
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