You know the basics of Quantum Computing and AI. Now discover how they work together. This course introduces quantum machine learning, hybrid models, real-world applications, and the future of intelligent quantum technologies.

• Quantum Computing and AI fundamentals

• Quantum machine learning concepts

• Hybrid quantum-classical models

• Applications in data analysis and optimization

• ​Emerging trends in QuantumAI

You understand the fundamentals of quantum computing. Now explore how quantum algorithms can solve scientific and computational problems through simulation, optimization, and hybrid quantum-classical approaches.

• Quantum circuits and algorithms

• Scientific computing and differential equations

• Hybrid quantum-classical methods

• Quantum simulation techniques

• Noise, error correction, and future applications

A selective pathway for high-performing learners ready to move beyond foundations. Applied tracks, real projects, and access to global WISER programmes.
 

• Advanced technical competency tracks selected by assessment

• Micro-grants for research, tools, and sensor prototypes

• Hardware access: IBM, IonQ, qBraid, D-Wave, Quantinuum, AWS Braket

• Global career fair and quantum job board access

• Scholarship pathway to WISER Global Summer Program