Learn Cutting-Edge Quantum Machine Learning with LSET Industry Experts
Welcome to LSET’s Comprehensive Quantum Machine Learning Engineer Course, designed to equip you with practical skills at the intersection of AI and quantum computing. Explore a hands-on curriculum that covers quantum-enhanced neural networks, hybrid quantum-classical models, and advanced machine learning techniques. Whether you’re starting out or looking to upgrade your expertise, this course provides real-world experience to tackle emerging data challenges and build a future-ready skill set.
![]() |
Are you looking for corporate training? We tailor our courses to meet the specific needs of your team. If you would like to discuss your training requirements, please email admission@lset.uk today. |
Explore Now |
Evaluate each option based on how well it fits with your goals and aspirations within the tech industry
★ NEW![]() |
LSET Work-Integrated Learning (LWIL) Program: Exclusive to International Students 6 Months of Learning and Interning (GAE Visa Route with Full Support Provided by JENZA who delivers the BUNAC sponsorship) This program is exclusively designed for international students who are planning to come to the UK specifically to study with LSET. Visa sponsorship and compliance support for the GAE visa route will be provided by our official partner, JENZA / BUNAC. If you are already in the UK on a Student Visa and enrolled with a UK university, you may consider our standard certificate programs such as Foundation, Advanced, Expert, Expert Plus, Expert Star, or Expert Elite. You may be eligible to work based on the conditions of your current visa; please check with your university or visa sponsor to confirm whether you are allowed to work while studying. |
Learn More |
This optional add-on lets students customise their capstone project based on their preferred industry. It’s designed to boost employability by giving practical experience and insight into specific high-growth sectors in the UK.
Available Specialisations:
LSET’s Comprehensive Quantum Machine Learning Engineer Course offers an in-depth exploration of core quantum computing and machine learning principles. The course is designed to give you both theoretical knowledge and practical skills, preparing you to implement quantum-enhanced AI solutions. You will explore hybrid classical–quantum models, design quantum circuits, and gain hands-on experience with leading frameworks, equipping you to tackle complex data problems in next-generation computing.
Qiskit is a leading open-source SDK for creating and running quantum circuits, algorithms, and simulations on quantum hardware and simulators.
PennyLane is a flexible library for differentiable quantum programming, allowing the development of hybrid quantum–classical machine learning models.
TensorFlow Quantum integrates quantum algorithms into the TensorFlow ecosystem, making it easy to build and train quantum-enhanced neural networks.
IBM Quantum Experience provides hands-on access to real quantum computers and simulators in the cloud, enabling experimentation and testing of QML algorithms.
Azure Quantum offers a full-stack cloud platform to design, run, and scale quantum algorithms alongside existing AI and data workflows.
Quantum Annealing is a heuristic optimisation technique leveraging quantum effects to solve complex search and scheduling problems.
Post-Quantum Cryptography (PQC) explores cryptographic schemes designed to resist quantum computer attacks, ensuring data security in the quantum era.
Grover’s Algorithm is a quantum search algorithm providing quadratic speedup for large, unsorted datasets.
Shor’s Algorithm is a quantum algorithm capable of factoring large numbers exponentially faster than classical methods, foundational to quantum cryptography.
1st January
1st February
1st March
1st April
1st May
1st June
1st July
1st August
1st September
1st October
1st November
1st December
Join the LSET Quantum Machine Learning Engineer course to prepare yourself for the future of intelligent computing. LSET follows a project-based, hands-on approach to help you build real-world quantum solutions using the latest tools and industry practices.
*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.
We love to answer questions, empower students, and motivate professionals. Feel free to fill out the form and clear up your doubts related to our Quantum Machine Learning Engineer course.
Start Your Journey to Becoming a Quantum Machine Learning Engineer
LSET provides the perfect headstart to begin your career in quantum computing and AI.
Disclaimer: All product names, logos, and brands are the property of their respective owners. All company, product and service names used in this website are for identification purposes only. Using these names, logos, and brands do not imply an endorsement or partnership.