Quantum Computing Advanced Training
Assess fault-tolerant quantum computing, post-quantum cryptography and real applications, and plan an organisation's quantum strategy. Learn Quantum Computing through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Quantum Computing levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Quantum Computing Advanced Training.
Understand where Quantum Computing fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Quantum Computing is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Quantum Computing program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Quantum Computing training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Quantum Computing training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Quantum Computing usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Quantum Computing Advanced Training | Private team batch |
What learners should be able to do after Quantum Computing training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Understand quantum computing
Explain qubits, gates, entanglement and measurement and reason about quantum circuits.
Program quantum algorithms
Implement and run core and variational quantum algorithms in Qiskit on simulators and hardware.
Plan for the quantum era
Evaluate fault tolerance, post-quantum cryptography and real use cases for your organisation.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Quantum Computing responsibilities before reviewing the detailed agenda.
Why Quantum Computing matters
- Quantum Computing helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Quantum Computing becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Quantum Computing effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Quantum Computing concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Quantum Computing in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Quantum Computing for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Quantum Computing usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Quantum Computing.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: Qubits, gates, circuits and first Qiskit programDay 1
- Classical vs quantum computing: bits vs qubits, what quantum computers can and cannot speed up
- Mathematical toolkit: complex numbers, vectors, matrices, Dirac notation and tensor products
- Qubits and superposition: state vectors, amplitudes, probabilities and the Bloch sphere
- Measurement: the Born rule, collapse, measurement bases and repeated shots
- Single-qubit gates: X, Y, Z, Hadamard, S, T and rotation gates as unitary matrices
- Multi-qubit systems and entanglement: CNOT, Bell states and why entanglement matters
- Quantum circuits: reading circuit diagrams, gate order, classical registers and measurement
- Quantum hardware landscape: superconducting, trapped-ion, neutral-atom, photonic and spin qubits
- Setting up Qiskit: Python environment, pip install qiskit, Jupyter and the Aer simulator
- First program: building a Bell-state circuit, simulating it and plotting measurement counts
- Cloud access: creating an IBM Quantum account and exploring available backends
Essential Level = Foundation + Core quantum algorithms and protocolsDay 2 · 2 days cumulative
- Qiskit in depth: QuantumCircuit, parameters, transpile, and the Estimator and shot-based execution primitives
- Quantum teleportation: protocol, circuit and classical feed-forward
- Superdense coding: sending two classical bits with one qubit and shared entanglement
- Phase kickback and oracles: building oracle circuits for query algorithms
- Deutsch-Jozsa and Bernstein-Vazirani algorithms: exponential and linear query separations
- Simon's algorithm: hidden period finding and its role leading to Shor
- Grover's search: amplitude amplification, oracle and diffuser design and optimal iteration count
- Quantum Fourier transform: circuit construction and comparison with the classical FFT
- Quantum phase estimation: eigenvalue estimation with the inverse QFT
- Shor's algorithm: period finding for factoring and why it threatens RSA
- Running on real hardware: submitting jobs with Qiskit Runtime, queues and reading results
Intermediate Level = Essential + Noise, error mitigation, variational algorithms and QMLDay 3 · 3 days cumulative
- Noise and decoherence: T1 and T2 times, gate errors, readout errors and crosstalk
- Noise simulation: noise models in Qiskit Aer and fake backends for realistic testing
- Error mitigation: readout mitigation, zero-noise extrapolation and dynamical decoupling
- Transpilation: qubit mapping, routing, basis gates, optimisation levels and circuit depth
- Variational quantum eigensolver: ansatz design, classical optimisers and expectation values
- QAOA: encoding combinatorial optimisation problems such as Max-Cut as Hamiltonians
- Quantum machine learning: feature maps, quantum kernels and variational classifiers
- Other SDKs: Cirq, PennyLane, Amazon Braket, Azure Quantum and NVIDIA CUDA-Q
- Hybrid workflows: combining classical and quantum steps, sessions and batch execution
- Benchmarking: quantum volume, layer fidelity and comparing devices
- Troubleshooting: deep circuits, barren plateaus, poor convergence and noisy results
Advanced Level = Intermediate + Error correction, fault tolerance, PQC and applicationsDays 4-5 · 5 days cumulative
- Quantum error correction: repetition and stabilizer codes, syndromes and logical qubits
- Surface codes and thresholds: below-threshold operation and the path to fault tolerance
- Fault-tolerant computing: magic states, T-gate costs and logical gate sets
- Resource estimation: estimating physical qubits and runtime for algorithms such as Shor
- Post-quantum cryptography: NIST ML-KEM, ML-DSA and SLH-DSA standards and harvest-now-decrypt-later risk
- PQC migration: crypto inventory, crypto-agility and hybrid key exchange in TLS
- Quantum chemistry and materials: Hamiltonian simulation and VQE for molecular problems
- Optimisation and finance use cases: portfolio, scheduling and Monte Carlo speed-up candidates
- Quantum advantage: evaluating claims, classical simulation limits and honest benchmarking
- Hybrid HPC and quantum: integrating quantum processors with classical supercomputing workflows
- Quantum strategy: identifying use cases, skills, vendor-neutral roadmaps and pilot design
- Capstone: build, mitigate and evaluate a quantum solution for a chosen use case and report its feasibility
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Quantum Computing levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Build and run a Bell-state circuit
Build single-qubit and Bell-state circuits in Qiskit, run them on the simulator, and explain the measured probability distributions.
Implement Grover's search
Build an oracle and diffuser for a 3-qubit Grover search, run it on a simulator and real hardware, and compare success rates.
Solve Max-Cut with QAOA
Formulate a small graph Max-Cut problem, solve it with QAOA on a noisy simulator and hardware, and improve results with error mitigation.
Deliver a quantum feasibility study
Pick a chemistry, optimisation or ML problem, implement it on hardware with mitigation, estimate fault-tolerant resources and write a feasibility report.
Quantum Computing is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Quantum Computing with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Quantum Computing certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Quantum Computing level.
Certificate verificationCertificate of Completion
Quantum Computing Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Quantum Computing path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Quantum Computing Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Quantum Computing level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Quantum Computing practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Quantum Computing workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Quantum Computing Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.