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Course Description

The Azure Quantum AI Engineer course is an advanced, role-focused program designed to develop hands-on engineering expertise in quantum computing and artificial intelligence using Microsoft Azure Quantum. This course emphasizes building, testing, and optimizing quantum-AI solutions, integrating quantum algorithms with AI workflows, and deploying hybrid quantum–classical applications on the Azure cloud. It prepares learners for specialized engineering roles in quantum computing, AI engineering, and next-generation cloud platforms.

One to One personalized training Schedule for Azure Quantum AI Engineer

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

Course Detail

The Azure Quantum AI Engineer course is an advanced, role-focused program designed to develop hands-on engineering expertise in quantum computing and artificial intelligence using Microsoft Azure Quantum. This course emphasizes building, testing, and optimizing quantum-AI solutions, integrating quantum algorithms with AI workflows, and deploying hybrid quantum–classical applications on the Azure cloud. It prepares learners for specialized engineering roles in quantum computing, AI engineering, and next-generation cloud platforms.

 

Quantum engineering is emerging as a high-impact skillset across cloud, AI, and advanced computing domains. This course enables learners to move beyond theory and gain practical, engineer-level experience with Azure Quantum tools and services. It equips you to design scalable quantum-AI systems, work with real quantum hardware providers, and solve complex industry problems using hybrid quantum-classical approaches—positioning you at the forefront of future technology roles.


Benefits of This Course
  • Engineer-level mastery of Azure Quantum and AI integration

  • Hands-on experience with quantum algorithms and cloud deployment

  • Learn to design, simulate, and optimize quantum-AI solutions

  • Build real-world hybrid quantum–classical workflows

  • Strong preparation for Quantum AI Engineer and Advanced AI roles

  • Industry-aligned skills for cloud, AI, and quantum engineering careers

  • Capstone experience reflecting real enterprise and research use cases

• 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

 
 
 
 
 
 

Azure Quantum AI Engineer Syllabus


12 Months Course 50% Theory 50% Lab Daily Home work & Real time Projects Unlimited Mock Exams Unlimited Mock Interview

Topics Covered

  • Foundations of Quantum Computing for Engineers

  • Mathematical and Linear Algebra Foundations for Quantum Systems

  • Qubits, Multi-Qubit Systems, and Quantum States

  • Quantum Gates, Circuits, and Measurement Engineering

  • Quantum Algorithms (Grover, Shor, QAOA – Engineering Perspective)

  • Quantum Noise, Decoherence, and Error Mitigation

  • Introduction to Microsoft Azure Quantum Architecture

  • Azure Quantum SDKs and Development Environment

  • Quantum Simulation and Performance Optimization on Azure

  • Hybrid Quantum–Classical System Design

  • Quantum Machine Learning Models and Techniques

  • AI Integration with Quantum Workloads

  • Working with Azure Quantum Hardware Providers

  • Engineering Real-World Use Cases and Industry Applications

  • Capstone Project: End-to-End Azure Quantum AI Solution

 
 

Instructor

Vijilin Jerrish

jerrish has a Bachelors degree in Computer Science, He is based out of India and had trained more than 8000 students in last 9years on Networking, Linux, Automation and Cloud Technologies.

Jerrish is RHCSA, Ansible, AWS Solutions Architect Pro, Terraform and Kubernetes Certified

 
 
 
 
 
 
 
 
 

Frequently asked question

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.

 
 
 
 
 
 

Azure Quantum AI Engineer Fees