Google Willow - Quantum AI Training in Middle East & Africa

This course provides a deep, practical understanding of Google Willow, Google’s next-generation experimental Quantum AI architecture. Participants will explore quantum computing foundations, Cirq programming, quantum machine learning, Willow hardware characteristics, and quantum workload deployment on Google’s Quantum AI infrastructure.
The program combines theory, hands-on labs, and real-world simulations to prepare learners for advanced quantum research, algorithm development, and quantum AI integration.

Welcome to the official Google Willow - Quantum AI Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in Middle East & Africa. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Participants should have:

• Basic Python programming knowledge

• Understanding of linear algebra & probability (recommended)

• Familiarity with classical machine learning concepts (optional but useful)

• Basic understanding of quantum computing concepts (preferred but not mandatory)

• A laptop with Python 3.10+ and Google Cloud SDK (for labs)

• Quantum Computing Skills
• Google Willow & Quantum AI Skills
• Programming and ML Skills
• Cloud and Integration Skillls

By the end of this training, participants will be able to:

• Understand Google Willow’s quantum architecture and qubit model

• Develop and simulate quantum circuits using Cirq and qsim

• Build hybrid quantum–classical ML models using TensorFlow Quantum

• Implement key quantum algorithms (QFT, Grover, VQE, QAOA)

• Optimize circuits for Willow hardware constraints

• Handle noise, error modeling, and basic error mitigation techniques

• Submit, run, and analyze quantum jobs using Google Quantum AI tools

• Build end-to-end Quantum AI pipelines