Private corporate batches, live online cohorts and 1-on-1 mentoring in qubits, gates and circuits — running real algorithms on simulators and cloud quantum hardware — taught by a practitioner who runs it in production.
20 years across DevOps, SRE and Security · 10,000+ engineers trained · Trained teams at JPMorgan Chase, Verizon, Nokia and the World Bank
Principal DevOps Engineer & Architect
Rajesh teaches Quantum Computing the way an engineer needs it rather than the way a physics course delivers it: state vectors and gates built up from linear algebra you actually use, circuits written and run in Qiskit against simulators first, then transpiled onto a real device coupling map so attendees see depth inflate and fidelity drop. Sessions cover Deutsch-Jozsa, Grover and phase estimation as working code, variational methods with a classical optimiser in the loop, noise models and error mitigation, and a deliberately sceptical treatment of where quantum advantage does and does not exist — plus the post-quantum cryptography migration that most teams will meet before they ever meet a quantum computer.
Twenty years across DevOps, SRE and Security, in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe and others. He has trained engineers at JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus — more than 10,000 people personally. He teaches what he runs, not what he reads.
You are booked with a named engineer, and that is who turns up. Marketplaces and larger providers rotate whoever is free, so the person who sold you the agenda is rarely the person teaching it.
The same trainer is available for the next engagement, which matters when a team builds on what it learned last time.
Your batch is assigned a named trainer before it starts, and that is who teaches it. See the full faculty.
Engagements are matched on the tool, not the calendar. For Quantum Computing that means a trainer who has run it in production — qubits, gates and circuits — running real algorithms on simulators and cloud quantum hardware — rather than whoever is free that week. You are told who is teaching before you commit, and that person is on the discovery call that shapes the agenda.
Where a batch is large enough to need a second trainer, the pairing is declared up front. The lead trainer stays accountable for the syllabus and the assessment either way.
Principal DevOps Engineer & Architect
Twenty years across DevOps, SRE and Security in principal and architect roles at PayPay, SoftwareAG, ServiceNow, JDA Software, Intuit, Adobe, IBM/Emptoris, Ness, MindTree and Accenture. He has trained more than 10,000 engineers personally, at organisations including JPMorgan Chase, Verizon, Nokia, the World Bank, VMware, Oracle, Mercedes-Benz and Airbus. He teaches what he runs, not what he reads.
Teams of 8–30
Custom agenda, your timezone, onsite or online, NDA-friendly.
Request a quoteIndividual engineers
A private instructor and a curriculum built around your goal.
₹99,999Individuals who want peers
Scheduled batch, max 8 to 10 hours of live instruction.
₹34,999A private batch starts with a discovery call. We look at the stack you actually run — the CI system, the cloud, the constraints — and map the agenda onto it, so examples use your topology rather than a generic one.
Delivery is onsite at your premises, live online, or hybrid, scheduled around your release calendar rather than ours. Batches run 8 to 30 engineers.
Every attendee leaves with recordings, slides, lab repositories and a completion certificate. You receive an attendance and assessment report. Invoicing supports PO and GST.
Talk to us about a private Quantum Computing batchQuantum Computing is a model of computation that stores information in qubits rather than bits. A qubit is not simply a bit that is both zero and one; it is a state vector whose amplitudes are complex numbers, and a register of n qubits carries 2^n amplitudes that evolve together. Computation proceeds by applying unitary gates — Hadamard, Pauli X/Y/Z, phase, CNOT, Toffoli — that rotate that state, and by using interference so that amplitudes on wrong answers cancel and amplitudes on right answers reinforce. Measurement then collapses the register to a classical bitstring, which is why quantum programs are run many times and read as a distribution rather than a single return value.
That mechanism buys speedup only for problems whose structure matches it. Shor's algorithm factors integers in polynomial time because periodicity is exposed by the quantum Fourier transform. Grover's algorithm gives a quadratic speedup on unstructured search. Variational methods such as VQE and QAOA use a shallow parameterised circuit with a classical optimiser in the loop, which is what makes them runnable on today's hardware. Most workloads gain nothing at all, and knowing which category a problem falls into is the practical skill.
The hardware available now is noisy and intermediate-scale. Qubits decohere in microseconds, two-qubit gates carry error rates around a percent, and circuits must be transpiled onto a physical coupling map with limited connectivity, which inflates depth with SWAP gates. Working in Quantum Computing today therefore means simulators for correctness, noise models for realism, error mitigation for usable results, and cloud-queued hardware access through toolkits such as Qiskit, Cirq or PennyLane.
Quantum hardware moved from physics laboratories to cloud endpoints. IBM, AWS Braket, Azure Quantum, IonQ and Rigetti all expose devices behind an API, so an engineer can submit a circuit to real hardware in an afternoon without owning a dilution refrigerator. That changed the skill from theoretical to practical, and it changed who needs it.
Two pressures are driving organisational interest. The first is exploratory: banks, logistics firms, chemical and materials companies are funding small teams to determine whether optimisation, simulation or sampling problems in their portfolio have any quantum advantage, and they need people who can give an honest answer rather than a vendor's. The second is defensive and much more concrete — post-quantum cryptography. NIST has standardised replacement algorithms, harvest-now-decrypt-later is a real threat model, and every security and platform team will eventually own a crypto-agility migration.
The demand is for grounded people. The field has more hype than engineers, and the valuable skill is being able to build a circuit, run it on noisy hardware, read the result honestly, and say clearly when a classical solver would do better.
Where the model comes from and what it does not promise. Reversible computation, the limits of classical parallelism, and a precise statement of what a quantum computer is — followed by an honest survey of the hardware that exists and the problems it can currently touch.
Topics: Bits, gates and reversible classical computation · Why 2^n amplitudes is not the same as 2^n parallel computers · Complexity classes: P, NP, BQP and where quantum sits · Superconducting, trapped-ion, photonic and neutral-atom hardware compared · NISQ: what noisy intermediate-scale actually constrains · The current honest state of quantum advantage claims
Enough linear algebra to compute rather than to admire. Complex amplitudes, state vectors, inner products, tensor products, unitary matrices and the Bloch sphere — each introduced with the circuit it explains, not as a separate mathematics unit.
Topics: Complex numbers, amplitudes and probability from the Born rule · State vectors and Dirac notation · Inner and outer products, orthonormal bases · Tensor products and multi-qubit state spaces · Unitary matrices and why quantum gates must be reversible · The Bloch sphere and single-qubit rotations · Density matrices and mixed states
From notation to running code. Building circuits in Qiskit, applying single- and multi-qubit gates, creating entanglement, measuring, and reading a result as a distribution over shots rather than a single answer.
Topics: Qiskit installation, circuits, registers and the primitives interface · Pauli X, Y, Z, Hadamard, phase and rotation gates · CNOT, CZ, SWAP and Toffoli · Building Bell and GHZ states, and verifying entanglement · Measurement, shots and interpreting histograms · Statevector and unitary simulators for correctness checking · Circuit composition, parameterised circuits and barriers · Visualising circuits and states
The algorithms every later technique is built from, implemented rather than described. Oracles and phase kickback, the interference pattern that makes Deutsch-Jozsa work, amplitude amplification in Grover, and the quantum Fourier transform underneath phase estimation and Shor.
Topics: Oracles, phase kickback and how a query becomes interference · Deutsch-Jozsa and Bernstein-Vazirani · Simon's algorithm and the exponential separation · Grover search and amplitude amplification · Choosing the right number of Grover iterations, and over-rotation · The quantum Fourier transform · Quantum phase estimation · Shor's algorithm and its consequence for RSA and ECC
What happens when the circuit leaves the simulator. Transpilation onto a physical coupling map, the SWAP overhead that inflates depth, decoherence and gate error, readout error, and the mitigation techniques that make a NISQ result usable.
Topics: Connecting to cloud backends and managing queues · Device topology, coupling maps and native gate sets · Transpilation, optimisation levels and circuit depth inflation · T1, T2, gate fidelity and readout error · Building and applying noise models in simulation · Readout error mitigation and zero-noise extrapolation · Reading calibration data and choosing a backend · Quantum error correction: surface codes and the logical-qubit gap
The hybrid approach that is actually runnable today. Parameterised circuits with a classical optimiser in the loop — VQE for ground-state energies, QAOA for combinatorial optimisation — plus a sceptical look at quantum machine learning and where barren plateaus stop it.
Topics: Parameterised circuits and ansatz design · Classical optimisers in the loop and their cost per iteration · VQE for molecular ground states · QAOA for MaxCut and portfolio-style optimisation · Encoding classical data: amplitude, angle and basis encoding · Quantum kernels and variational classifiers · Barren plateaus and trainability limits · Benchmarking honestly against a classical solver
The part of quantum computing most teams will meet first. What Shor breaks and when, harvest-now-decrypt-later as a threat model, the NIST-standardised replacement algorithms, and how to run a crypto-agility programme across an estate that does not know what it is using.
Topics: What Shor and Grover break, and by how much · Harvest-now-decrypt-later and the migration deadline problem · ML-KEM, ML-DSA and SLH-DSA — the standardised replacements · Hybrid key exchange during transition · Building a cryptographic inventory across an estate · Crypto-agility in application and platform design · Quantum key distribution and why it is not the same thing · Building an internal quantum evaluation capability
We rebuild the agenda around the tools you actually run.
Request a custom agendaBuild all four Bell states and a GHZ state, measure them across thousands of shots and demonstrate correlation that no classical register reproduces.
Write an oracle from a set of constraints, build the diffusion operator and plot success probability against iteration count to find the optimum.
Run one circuit three ways — ideal simulator, noise-modelled simulator and queued cloud hardware — and account for every discrepancy between them.
Apply readout error mitigation and zero-noise extrapolation to a noisy hardware run, and quantify the improvement rather than asserting it.
Model a small MaxCut instance, run QAOA with a classical optimiser in the loop, and report honestly whether it beat a straightforward heuristic.
Inventory the cryptography in a sample estate, rank quantum-vulnerable paths by exposure, and design a phased hybrid migration.
Billed yearly at ₹9,996
Max 8 to 10 hours of live instruction
Full program, private instructor
8–30 engineers · custom agenda · onsite or online · PO and GST invoicing
Refunds. If we cancel or postpone a cohort, you get a full refund within 15 days. There is no money-back guarantee otherwise.
Terms. Course material remains licensed to the attendee. Read the terms.
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Certificate of completion
Very detailed explanation and has lots of patience in attending the questionnaire. Thanks again for your wonderful sessions.
Good discussion, helped us to understand different tools in SRE.
Got good lab sessions which kept the new DevOps tool learnings to the point and it helped a lot in my career.
I took Terraform training with the tutor named Mithilesh. I requested to tailor the course curriculum for my needs. He did an excellent job of showing me how to write the Terraform script per the instructions provided.
My experience with the AIOps training was positive. The course covered important topics in a structured way, and Rajesh Kumar explained the concepts patiently. I found the practical aspects particularly helpful because they made the technical content easier to understand.
I was looking to improve my understanding of AIOps, and this training helped me achieve that goal. Rajesh Kumar explained the subject in a structured and practical manner. The sessions on different AIOps concepts were informative.
| What matters | YouTube + blogs | Generic online course | Freelance marketplace | DevOpsSchool |
|---|---|---|---|---|
| Named practitioner | No | Rarely | Varies per booking | Yes — same trainer each time |
| Production experience | Unknown | Unknown | Unverified | 20 years, named employers |
| Custom agenda | No | No | Sometimes | Built from your stack |
| Onsite delivery | No | No | Sometimes | Yes |
| Lab environment | None | Sandbox that expires | Varies | Your own cloud — skill goes with you |
| Assessment | None | Quiz | Rarely | Assignments + capstone per module |
| Per-attendee certificates | No | Sometimes | Rarely | Yes |
| Corporate invoicing | No | Limited | Varies | PO and GST |
| Post-training support | None | Forum, time-limited | None | Lifetime forum access |
Tell us the team, the stack and the timeline. You'll get a straight answer, not a sales sequence.
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