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IBM Full-stack Quantum AI

  • 24/7 Support
  • 12 Months
  • 480 Sessions

Course Description

The IBM Full-Stack Quantum AI course is a comprehensive program designed to equip learners with end-to-end expertise in quantum computing, artificial intelligence, and full-stack quantum application development using IBM Quantum technologies. This course covers quantum computing fundamentals, quantum machine learning, backend quantum programming with Qiskit, and integration with cloud platforms. Learners gain hands-on experience building, testing, and deploying hybrid quantum-AI applications, preparing them for advanced roles in quantum development, AI engineering, and next-generation full-stack technology environments.

 

One to One personalized training Schedule for IBM Full-stack Quantum AI

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.

23-02-2026 Monday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
25-02-2026 Wednesday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
27-02-2026 Friday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session
28-02-2026 Saturday (Monday - Friday) Weekdays Regular 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session

Course Detail

The IBM Full-Stack Quantum AI course is a comprehensive program designed to equip learners with end-to-end expertise in quantum computing, artificial intelligence, and full-stack quantum application development using IBM Quantum technologies. This course covers quantum computing fundamentals, quantum machine learning, backend quantum programming with Qiskit, and integration with cloud platforms. Learners gain hands-on experience building, testing, and deploying hybrid quantum-AI applications, preparing them for advanced roles in quantum development, AI engineering, and next-generation full-stack technology environments.

 

Quantum computing is transforming how intelligent applications are built and deployed. This course enables you to become a full-stack quantum developer capable of working across frontend interfaces, backend quantum logic, and cloud deployment. It prepares you to build complete quantum-AI solutions using IBM Quantum tools and positions you for high-growth careers in quantum development, AI engineering, and advanced cloud computing.


Benefits of This Course
  • Learn end-to-end full-stack quantum AI application development

  • Gain hands-on experience with IBM Quantum Experience and Qiskit

  • Build hybrid quantum-AI applications integrated with cloud

  • Develop backend quantum logic and workflow management skills

  • Understand deployment of quantum applications on cloud platforms

  • Strengthen your resume with full-stack Quantum AI expertise

  • Prepare for roles such as Quantum Developer, Quantum AI Engineer, and Researcher

 
 

 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.

 
 

IBM Full-stack Quantum AI Syllabus


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

Topics Covered

  • Introduction to Full-Stack Quantum AI Architecture

  • Quantum Computing Fundamentals and Qubit Systems

  • Quantum Gates, Circuits, and Measurement Techniques

  • Quantum Programming using Qiskit

  • Backend Quantum Logic and Circuit Development

  • Quantum Algorithms Implementation

  • Quantum Machine Learning Fundamentals

  • Hybrid Quantum–Classical Application Development

  • IBM Quantum Cloud Platform and Services

  • API Integration and Quantum Application Interfaces

  • Quantum Circuit Simulation and Execution

  • Performance Optimization and Error Mitigation

  • Frontend Integration for Quantum Applications

  • Real-World Quantum AI Application Development

  • Capstone Project: Full-Stack Quantum AI Solution Deployment

 
 

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.

 
 

Admission Process

If a student want to take admission in any course he has to go with the following steps

Step 1
1 Hour Interview
  • Discuss Learning Goals: Understand the candidate’s career objectives, learning expectations, and prior experience (if any).
  • Personalized Course Recommendation: Based on the discussion, recommend the most suitable course.
  • Course Customization: Tailor the course plan to fit the candidate’s needs, including scheduling flexibility.
Step 2
3 Hour Assessment Session
  • Technical Skills Evaluation: Hands-on tasks or exercises to evaluate the candidate’s current technical understanding (for advanced courses).
  • Cloud Fundamentals Check: For entry-level courses, a basic assessment of cloud knowledge and IT skills.
  • Feedback & Results: Provide instant feedback and suggest an appropriate course path based on assessment performance.
Step 3
Final Enrollment

Upon successful completion of the assessment, candidates receive a customized learning path, course schedule, and payment options. Candidates can finalize their enrollment by agreeing to the course structure and payment plan.


IBM Full-stack Quantum AI Fees
£ 14000