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Quantum Computing Fundamentals for Engineers

An early but fast-growing frontier that positions engineers years ahead of the market.

Builds on: No prerequisite roadmap — conceptual entry point

6

modules

~14h

total time

Certificate

on completion

Cancel anytime

Who this course is for

This course is for software engineers who keep hearing about quantum computing and want an accurate, non-hyped picture of what it actually is — not a physics degree, and not a breathless "quantum will change everything" pitch either. You need solid programming fundamentals and comfort with basic linear algebra (vectors, matrices); no physics background is assumed, since the course builds the necessary intuition from the ground up.

What you'll actually build

The course works through five problems in order: qubits, superposition, and entanglement — the core concepts that make quantum computing behave so differently from classical computing, taught precisely enough that you'll be able to explain them correctly rather than just repeating buzzwords; quantum gates and circuit design, the actual building blocks you compose into a program; the key quantum algorithms, Grover's and Shor's, and exactly what problem each one changes the complexity class of; hands-on programming with Qiskit and Cirq, the two dominant frameworks for writing real quantum code; and a grounded, honest look at where quantum computing actually helps today versus where it's still years away or simply the wrong tool. Every module pairs a concepts lesson with a hands-on build.

The capstone

You finish by building and running a quantum circuit on real cloud quantum hardware — not a simulator standing in for the real thing, but an actual quantum processor accessed through a cloud provider. This is the project that goes in your portfolio, and it's a genuinely rare credential: most software engineers who claim quantum computing knowledge have never actually run a circuit on real hardware.

Why this matters right now

Quantum computing is still a small, early field relative to mainstream software engineering, but it's growing quickly and most of the misinformation around it comes from people who've never worked with a real circuit. Engineers who can accurately explain what Grover's and Shor's algorithms change — and just as importantly, what they don't — are positioned to have credible conversations about where quantum actually matters for their organization, instead of either dismissing it outright or overselling it.

Curriculum

6 modules · 11 lessons

Roles this course prepares you for

Quantum Software EngineerQuantum Algorithms EngineerQuantum Applications Engineer

These are the roles this curriculum maps to, based on the skills covered — not a placement guarantee.

See open roles matching this track

Frequently asked questions

Do I need a physics background to take this course?

No physics background is assumed. You do need solid programming fundamentals and comfort with basic linear algebra — vectors and matrices — since the course builds quantum intuition from those foundations rather than from physics.

What subscription tier do I need?

Quantum Computing Fundamentals for Engineers requires a Core tier subscription, the entry tier — no Pro or Elite subscription is needed to unlock this course.

How long does the course take?

The course runs 11 lessons across 6 modules — five core modules plus a capstone project. Each module pairs an 18-minute concepts lesson with a 35-minute hands-on build.

What do I actually build by the end?

A quantum circuit built and run on real cloud quantum hardware — not just a simulator — built as the capstone project for your portfolio.

Which quantum programming frameworks does the course use?

Module 4 covers hands-on programming with Qiskit and Cirq, the two dominant frameworks for writing real quantum circuits, before you take what you've learned onto real quantum hardware in the capstone.

Unlock Core tier

Subscribing to Core unlocks every course at or below this tier — not just this one.