Udemy – 100 Days of Quantum Computing Coding 2026-7

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Description

100 Days of Quantum Computing Coding. This comprehensive, 100-day course helps learners go from beginner to proficient and confident quantum computing developer. This course is a hands-on, project-based, and structured program designed to take learners from introductory to expert knowledge of quantum computing. Using artificial intelligence, the course combines complex theoretical foundations with practical coding exercises to make learning quantum computing simple and accessible for beginners. Participants first learn how to set up a quantum development environment, navigate the Python programming language, and write their first quantum programs. They then explore foundational concepts such as qubits, quantum states, basis vectors, superposition, measurement, and probability domains. Next, the operation of important quantum gates such as X, Z, H, S, T, spin and controlled gates is taught. Learners learn how to design and analyze single-qubit and multi-qubit circuits and become familiar with phenomena such as entanglement and Bell states. A significant part of the course is dedicated to the implementation of key quantum algorithms such as the Deutsch, Deutsch-Gemini and Grover search algorithms. More advanced topics such as quantum teleportation, ultra-dense codes, quantum variable circuits and quantum machine learning are also explored. Given the impact of noise on real quantum computers, this course covers quantum error management, pseudorandomness, noise models and the design of noise-resistant circuits. Learners also gain the ability to access real quantum hardware and implement circuits on real equipment. During this course, participants implement a practical mini-project every ten days and ultimately a comprehensive project to prepare their skills for entering the job market.

What you will learn

Understand the key principles of quantum computing including qubits, superposition, measurement, and entanglement
Building and running quantum programs using the Python programming language and modern development tools
Design of quantum circuits using X, Z, H, S, T, spin and controlled gates
Visualization of quantum states, circuit diagrams, probabilities, and measurement results
Implementation of important quantum algorithms including Deutsch, Deutsch-Gemini, and Grover search algorithms
Implementing practical projects such as quantum tap or line, random number generator, and Bell state simulator
Investigating quantum teleportation, ultra-dense coding, phase estimation, and variable circuits
Development of hybrid quantum-classical workflows and introductory quantum machine learning models
Quantum noise analysis, hardware limitations, error models, and error reduction methods
Conducting various experiments using simulators and real quantum computing hardware
Complete a comprehensive final project ready to be presented in a professional portfolio

This course is suitable for people who:

Beginners looking for a structured path to enter the world of quantum computing and programming
Python developers who want to expand their skills into quantum technology
Software engineers interested in exploring the future of computing and emerging technologies
Students in computer science, engineering, mathematics, and physics who are looking to gain practical experience
Data and machine learning experts interested in quantum machine learning
Technology professionals preparing to enter the quantum software job market
Educators and researchers looking for practical quantum programming portfolios and projects
People who are looking to change careers and build a portfolio in a fast-growing technology field
People who learn best through daily exercises, mini-projects, and hands-on experiments

Course details for 100 Days of Quantum Computing Coding

Publisher: Udemy
Instructor: School of AI , Arjun Vaid
Training level: Beginner to advanced
Training duration: 8 hours and 22 minutes
Number of lessons: 101

Course topics

100 Days of Quantum Computing Coding

Prerequisites for the 100 Days of Quantum Computing Coding course

No previous quantum computing experience is required.
No advanced physics or mathematics background is necessary.
Basic computer skills and a willingness to learn are sufficient to begin.
Some familiarity with Python is helpful, but a refresher is included in the course.
A computer with internet access is required for coding exercises and quantum platforms.
Students should be comfortable installing software or using browser-based coding environments.
A free account on a supported quantum computing platform may be needed for real hardware exercises.
Curiosity, consistency, and a willingness to practice are the most important requirements.