Google AI Quantum Computing & Machine Learning is an advanced program designed to introduce learners to the powerful intersection of quantum computing and machine learning. This course covers quantum fundamentals, quantum algorithms, and how machine learning models can be enhanced using quantum principles. Learners gain exposure to Google’s Quantum AI tools and real-world use cases, understanding how quantum systems can solve complex problems in optimization, data analysis, and AI research. The course focuses on conceptual clarity, future applications, and industry relevance, preparing learners for the next wave of intelligent computing technologies.
EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.
| 29-09-2026 | Tuesday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 01-10-2026 | Thursday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 03-10-2026 | Saturday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 04-10-2026 | Sunday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
Google AI Quantum Computing & Machine Learning is an advanced program designed to introduce learners to the powerful intersection of quantum computing and machine learning. This course covers quantum fundamentals, quantum algorithms, and how machine learning models can be enhanced using quantum principles. Learners gain exposure to Google’s Quantum AI tools and real-world use cases, understanding how quantum systems can solve complex problems in optimization, data analysis, and AI research. The course focuses on conceptual clarity, future applications, and industry relevance, preparing learners for the next wave of intelligent computing technologies.
Quantum computing combined with machine learning represents the future of intelligent systems. Learning this course helps you understand how quantum algorithms can accelerate machine learning models and solve problems that classical computers cannot. It prepares you for emerging technologies that are gaining strong interest from global tech leaders, research institutions, and enterprises. By learning now, you position yourself ahead of the curve in a high-impact, future-ready domain with long-term career potential.
Understand the integration of Quantum Computing with Machine Learning
Learn quantum algorithms used in AI and data optimization
Gain exposure to Google Quantum AI tools and frameworks
Develop advanced analytical and problem-solving skills
Build a future-focused skill set in a rapidly growing technology area
Strengthen your resume with next-generation AI expertise
Prepare for careers in Quantum AI research, advanced AI, and innovation-driven roles
• We check your knowledge before we start the session.
• We build foundational topics first and core topics next.
• Theory classes with a real-time case study.
• Demo on every topic.
• You will learn how to design architecture diagrams for each service.
• Mock exam on every topic you understand.
• Exam Preparation
• Interview Preparation
6 Months Course 50% Theory 50% Lab Daily Home work 10 Real time Projects Unlimited Mock Exams Unlimited Mock Interview
Topics Covered
Advanced Quantum State Formalism
Dirac (Bra–Ket) Notation and Hilbert Spaces
Multi-Qubit Systems and Entanglement Theory
Quantum Measurement, Noise, and Decoherence
Advanced Quantum Gates and Circuit Design
Unitary Evolution and Circuit Expressivity
Foundational Quantum Algorithms
Grover’s and Deutsch–Jozsa Algorithms
Variational and Optimization Quantum Algorithms
Mathematical Foundations for Quantum Machine Learning
Optimization, Gradients, and Barren Plateaus
Advanced Google Cirq Programming
Quantum Machine Learning Models and Data Encoding
Hybrid Quantum–Classical Architectures
Quantum AI Use Cases, Ethics, and Capstone Project
Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.
Q: Will I get placement assistance?
A: Yes. You will get it once you are Certified.
Q: What if I have queries after I complete this course?
A: You can check our blog or send your queries from our website, social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.
Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.
Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material, but you can also watch short and sweet videos from our Youtube Channel.
Q: What is the average salary ?
A: $1,40,868
Q: How will this course help me pass the certification?
A: We provide separate Training for Exam and Interviews. In this Training will get more experience to pass Your Exam.
