↑

// SERVICE SPECIFICATION 05

⚛️ Quantum AI & QML (Training & Content)

Interactive training workshops, developer tutorials, and technical content for Quantum Neural Networks, Quantum Kernel methods, Variational Quantum Algorithms (VQE, QAOA), and hybrid QML workflows.

🚀 Schedule Quantum AI/ML Training & Content →

1. Service Overview & Scope

  • Interactive Hybrid Quantum-Classical AI Training:
    • Understanding Quantum Neural Networks (QNNs) workshops in plain language.
    • Combining classical machine learning models (PyTorch) with Quantum circuit layers (PennyLane) tutorials.
    • Practical quantum optimization training use cases.
  • Target Audience:
    • AI engineers, software developers, and research teams looking to learn quantum ML fundamentals.

2. Core Tools & Frameworks

  • Quantum ML Libraries:
    • Xanadu PennyLane & IBM Qiskit Machine Learning module.
    • PyTorch integration for hybrid quantum-classical training.

3. Deliverable Examples

  1. Hybrid Quantum Classifier Workshop & Tutorial:
    • Developer-friendly PyTorch + PennyLane notebook demonstrating a simple quantum feature map.

4. Guarantees & Commitments

  • 100% Simulator Verified Notebooks: Every code snippet and exercise notebook is executed on Qiskit / PennyLane simulators.
  • 30-Day Post-Workshop Q&A Support: Included email follow-up for attendee questions.

5. Investment & Pricing Quote

  1. Base Investment Range: $450 – $900 USD (per deliverable / workshop).
  2. Purchasing Power Parity (PPP) Tier Adjustments:
    • Tier 1 (Developed Nations - USA, EU, UK): 100% Base Price ($450 – $900 USD).
    • Tier 2 (Developing Nations - India, Brazil, SEA): 75% Parity Price ($340 – $675 USD).
    • Tier 3 (Least Developed Nations - Haiti, Sub-Saharan Africa): 50% Parity Price ($225 – $450 USD).
  3. Payment Schedule:
    • 50% upfront initialization / 50% upon draft and verified notebook submission.
Book Quantum AI & Quantum ML Training →