Attribute

Detail

Format

Online (e-LMS)

Level

Advanced

Duration

8 Weeks

Certification

e-Certification + e-Marksheet

Tools

Qiskit, Microsoft Q#, Forest by Rigetti, IBM Quantum Experience, Python

About the Quantum Machine Learning Course

It is an 8‑week intensive course designed for advanced undergraduates, graduate students, and professionals interested in the intersection of quantum computing and AI.

Through comprehensive tutorials, participants will learn to simulate quantum circuits, develop quantum algorithms, and apply these in AI tasks. The program equips you to contribute to the future of quantum machine learning.

Program Highlights

• Comprehensive coverage of Quantum Machine Learning from fundamentals to advanced applications

• Hands-on projects and real-world case studies in AI

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Practical experience with tools: Qiskit, Microsoft Q#, Forest by Rigetti, IBM Quantum Experience

• Career-oriented training for academic and professional growth in AI

Course Curriculum

Module 1: Module 1 – Foundations & Integration

Explore principles of quantum mechanics and quantum gates
Analyze classical machine‑learning models and data pipelines
Identify quantum advantages for AI through case studies

Module 2: Module 2 – Quantum Algorithms for ML

Implement Grover’s, Shor’s, and QFT as building blocks
Design quantum PCA, quantum SVM, and quantum neural networks
Evaluate algorithmic speed‑up and accuracy gains

Module 3: Module 3 – Hands‑On Model Development

Code quantum circuits using Qiskit, Microsoft Q#, and Rigetti Forest
Run simulations and real‑hardware jobs via IBM Quantum Experience
Plan, implement, test, and optimize a complete quantum ML project

Tools, Techniques, or Platforms Covered

Qiskit
Microsoft Q#
Forest by Rigetti
IBM Quantum Experience
Python

Real-World Applications

Apply Quantum Machine Learning skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical AI competencies
Solve industry-relevant problems using Quantum Machine Learning methodologies and tools
Contribute to open-source projects and collaborative research in AI
Prepare for competitive examinations, interviews, and professional certifications in AI

Who Should Attend & Prerequisites

Industry‑recognised e‑Certification + e‑Marksheet from NSTC
Hands‑on training with practical projects and industrial datasets
Dedicated expert mentorship and doubt resolution

Prerequisites:

Frequently Asked Questions

1. What is the format of this Quantum Machine Learning: Harnessing Quantum Computing for AI course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

Learners should have a foundational understanding of AI concepts. Familiarity with basic tools and programming is recommended.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 8 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to AI. Our mentors are industry experts and experienced professionals.

Enroll in Quantum Machine Learning: Harnessing Quantum Computing for AI today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering AI skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	8 Weeks
Level	Advanced
Domain	AI
Hands-On	Yes – Practical projects with industrial datasets
Tools Used	Qiskit, Microsoft Q#, Forest by Rigetti, IBM Quantum Experience, Python

Achieve Excellence & Enter the Hall of Fame!

Elevate your research to the next level! Get your groundbreaking work considered for publication in prestigious Open Access Journal (worth USD 1,000) and Opportunity to join esteemed Centre of Excellence. Network with industry leaders, access ongoing learning opportunities, and potentially earn a place in our coveted

Hall of Fame.

Achieve excellence and solidify your reputation among the elite!

Quantum Machine Learning: Harnessing Quantum Computing for AI