Learn quantum computing fundamentals, quantum machine learning, variational circuits, quantum NLP, optimisation, post-quantum cryptography and quantum cloud in a 2–3 month programme with hands-on labs, a capstone and placement assistance.
Choose classroom or live online batches and join a free demo class before you enrol. Confirm the final syllabus, fee, cloud access and batch format with the team.
| Course detail | Information |
|---|---|
| Course | Quantum AI |
| Duration | Around 2–3 months; confirm for your batch |
| Learning modes | Classroom in Kukatpally, live online or recorded |
| Curriculum | 9 modules with hands-on labs |
| Projects | 6 portfolio projects; confirm inclusions |
| Batch schedule | Weekday and weekend batches |
| Trainer | Shaheda Tabassum |
Brolly AI's Quantum AI course in Hyderabad is a 2–3 month, hands-on programme in qubits and quantum circuits, quantum machine learning, variational quantum circuits, quantum neural networks, quantum NLP, quantum optimisation, post-quantum cryptography and quantum cloud platforms.
The course is built for aspiring AI engineers, data scientists, ML professionals, freshers and career switchers. You work in Qiskit, PennyLane, Google Cirq, TensorFlow Quantum and AWS Braket, build capstone projects in pharma, BFSI, logistics and security, and finish with a GitHub portfolio, a polished resume and interview practice for quantum AI, QML and advanced AI roles.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Our Quantum AI course in Hyderabad follows a 9-module syllabus that takes you from qubits, gates and circuits to quantum machine learning, variational circuits, quantum NLP, optimisation, post-quantum security and quantum cloud platforms, finishing with industry capstones and placement preparation.
This is a proposed learning outline. Confirm the final syllabus, labs, tool access and project requirements for your chosen batch before enrolling.
Choose the plan that suits how you learn. Request the current fee and written inclusions for your selected mode, and confirm taxes, EMI options, cancellation terms and any separate tool, cloud or exam costs before paying.
Fee on enquiry. Self-paced recorded classes for revision at your own pace.
Fee on enquiry. Structured classroom sessions at the Kukatpally centre.
Fee on enquiry. Live interactive classes with flexible timings.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Our Quantum AI classes in Hyderabad are structured in progressive phases over 2–3 months. Each phase builds on the previous one, combining concepts with tool-based, hands-on quantum lab practice, in the classroom or live online.
Qubits, superposition, entanglement and gates on IBM Quantum, quantum feature maps, QSVM and QPCA, and your Qiskit, PennyLane and TFQ setup.
Variational circuits, QNNs and hybrid models, quantum NLP with Lambeq, QGANs, QAOA optimisation and post-quantum cryptography.
Running jobs on AWS Braket, Azure Quantum and IBM Quantum, and applying quantum AI to pharma, BFSI, logistics and healthcare problems.
An industry capstone with a research report for your portfolio, ATS resume, LinkedIn, mock interviews and your course certificate.
Quantum AI combines quantum computing principles such as superposition, entanglement and interference with artificial intelligence and machine learning. It aims to tackle optimisation, simulation and learning problems that are very hard for classical computers, from simulating molecules to optimising routes, and it also drives the need for post-quantum security.
Qubits can hold combinations of 0 and 1, unlike classical bits.
Linked qubits and interference let quantum algorithms explore many possibilities.
Gates and circuits are the building blocks of every quantum program.
Variational circuits pair quantum layers with classical optimisers for practical ML.
QAOA and quantum annealing target routing, scheduling and portfolio problems.
Molecular simulation for drug discovery and materials research.
Large quantum computers threaten RSA, so AI systems need post-quantum cryptography.
New questions around ethics, fairness and access to computing power.
Google, IBM, Microsoft, Amazon, D-Wave, IonQ and Rigetti are building quantum platforms.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Choose classroom or live online Quantum AI training at Brolly AI and get the same syllabus, hands-on labs and placement support in either mode.
Step-by-step instruction across quantum ML, QNLP and quantum cloud topics.
Hands-on training with Qiskit, PennyLane, Cirq, TensorFlow Quantum and AWS Braket.
Quantum AI applications for drug discovery, finance, NLP and logistics.
Resume preparation, interview coaching and aptitude practice.
Ask about the Brolly AI completion certificate that records your Quantum AI skills.
Linear algebra, probability, complex numbers and quantum mechanics basics.
Lambeq, quantum GANs, Boltzmann machines and hybrid generative models.
Run circuits and models on AWS Braket, Azure Quantum and IBM Quantum.
Classroom, live online or recorded plans; ask about EMI options.
Here is how hands-on Quantum AI training at Brolly AI compares with a theory-led class.
| Theory-led training | Brolly AI training |
|---|---|
| Theory-heavy lectures with little lab access | Hands-on quantum labs from day one |
| Outdated slides on classical AI basics only | Qiskit, PennyLane, VQC, QNN and QNLP |
| Trainers with general IT knowledge, no quantum focus | Lessons focused on quantum ML and cloud |
| Occasional simulation exercises only | Circuit labs on simulators and cloud platforms |
| Small exercises with no industry use case | Industry capstones for your portfolio |
| Support ends after the course | Resume building and mock interviews |
| Little or no placement help | Placement assistance |
| One-size-fits-all teaching | Mentorship aligned with your career goals |
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Generative AI Specialist & LLM Architect
9+ years in Artificial Intelligence, Machine Learning and Generative AI
Core expertise: Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, AI agents, NLP systems, Deep Learning, MLOps and cloud deployment on AWS.
Industry projects: LLM-based AI assistants, RAG-powered knowledge platforms, intelligent chatbots, fraud detection systems and predictive AI solutions for healthcare and manufacturing.
Teaching style: explains transformers, embeddings and AI agents in simple language, with hands-on coding and job-focused training.
Book a free demoDesign and run circuits in Qiskit, PennyLane, Cirq and TensorFlow Quantum.
Build and train quantum neural networks and variational circuits.
Apply QML to classification, regression and clustering problems.
Sentence classification and semantic analysis with Lambeq and Tket.
Implement quantum GANs and quantum Boltzmann machines.
Solve logistics and finance problems with QAOA and D-Wave.
Run workloads on AWS Braket, Azure Quantum and IBM Quantum.
Assess and apply NIST PQC standards to AI systems.
Write quantum AI reports and build a documented GitHub portfolio.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
You build portfolio-ready quantum projects that show employers and research labs how you apply quantum machine learning, optimisation and security to real problems.
Confirm the final projects, datasets and review process for your batch.
A quantum classifier on real data, compared with classical ML and run on IBM Quantum.
A QNLP sentence classification pipeline with a quantum vs classical comparison report.
A supply chain routing problem solved on AWS Braket and benchmarked against classical solvers.
A quantum GAN in PennyLane that generates synthetic tabular data for BFSI use cases.
Analyse a simulated AI API against Shor's algorithm and apply CRYSTALS-Kyber encryption.
Run and compare circuits on AWS Braket, Azure Quantum and IBM Quantum platforms.
You work with Qiskit, PennyLane, Google Cirq and TensorFlow Quantum for circuits and QML, Lambeq and Tket for quantum NLP, D-Wave Ocean for annealing, CRYSTALS-Kyber for post-quantum cryptography, cloud platforms for hardware runs, and Jupyter and Google Colab notebooks.
This is the proposed tool list. Logos identify the tools taught; they do not imply a partnership or endorsement. Confirm account, licence and usage costs before the course starts.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Our placement support helps you turn quantum AI skills into interviews for quantum AI, ML engineering and AI research roles with companies in Hyderabad and across India.
Placement assistance supports your job search; it is not a job or internship guarantee. Ask which activities are included for your batch and request their scope in writing.
ATS-friendly resumes for quantum AI engineer, QML and quantum cloud roles.
How to target quantum AI openings, approach HR and handle hiring processes.
Quantum AI, QML and quantum computing questions with model answers.
Ask whether quantum AI research or development internships are available.
Portfolio-ready capstones on GitHub with research write-ups.
Logical reasoning, quantum problem-solving and technical test practice.
Communication, client presentation and professional confidence.
Technical and HR rounds with feedback from our trainers.
Ask how interview scheduling with hiring companies works for your batch.
Share circuit implementations and solve quantum computing challenges as a team.
PennyLane notebooks, quantum AI paper archives and recorded sessions.
Connect with quantum AI trainers, researchers and fellow learners in Hyderabad.
Guidance on QML, QNLP, optimisation and post-quantum security paths.
Quantum AI job postings, startup leads and placement assistance.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Our Quantum AI course is open to students, working professionals and career switchers, whether you are a beginner or already work in AI and ML. Basic Python and school-level maths help but are not mandatory, because the course covers the Python, maths and quantum essentials you need.
CS, IT, maths, physics, electronics or any technical discipline.
Developers, ML engineers, data scientists and DevOps professionals.
Finance, healthcare, pharma, logistics or defence professionals applying quantum AI.
Basic Python, linear algebra and probability help but are not mandatory.
Classical ML and deep learning knowledge is an asset, not a requirement.
A genuine desire to understand quantum computers and apply them to AI.
Start a path towards quantum AI engineer or QML researcher roles.
Move from classical AI and ML into quantum AI and quantum cloud.
Extend your skills into quantum machine learning and optimisation.
Apply quantum AI to finance, healthcare, pharma or logistics.
Understand quantum AI opportunities and post-quantum risks.
Add formal quantum AI methods to your advanced AI services.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
Quantum AI is an emerging field, and many roles combine quantum skills with classical AI and ML. These roles are where quantum AI skills apply in Hyderabad and across India.
Hiring outcomes and pay depend on your background, portfolio, interview performance and the employer; we do not publish guaranteed placement or salary figures.
Design and deploy quantum ML circuits and hybrid AI pipelines.
Develop QNN, VQC and QSVM algorithms for research and industry.
Investigate quantum advantage in NLP, vision and optimisation.
Design hybrid quantum-classical systems on AWS Braket and Azure Quantum.
Implement NIST PQC standards and quantum-safe architecture.
Build quantum circuit applications, algorithms and QML software.
Find cryptographic weaknesses and quantum attack surfaces in AI systems.
Advise enterprises on quantum AI strategy and readiness.
Entry-level QML associate and research trainee roles for freshers.
Ask whether a Brolly AI Quantum AI course completion certificate is included for your batch, what projects and assessments are required, and when it is issued. Together with your portfolio projects, it helps you show the skills you trained in.
Vendor certification to aim for next: the course gives you a foundation for vendor exams such as IBM's quantum developer certification. It is issued and examined by IBM, not Brolly AI, and exam fees are separate.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
India's National Quantum Mission is accelerating quantum work across government, defence, pharma and IT.
Global and Indian IT companies in HITEC City are building advanced AI teams.
Startups and incubators in Hyderabad are exploring quantum AI and QML research.
NIST published its first post-quantum cryptography standards in 2024, pushing enterprises towards quantum-safe systems.
On today's noisy (NISQ) hardware, hybrid quantum-classical models are the practical approach.
AWS Braket, Azure Quantum and IBM Quantum make quantum computing accessible online.
Discuss availability for this course before choosing your batch.
In-person sessions at the Kukatpally training centre with lab support and group project work.
Live interactive classes with the same syllabus, practical work and project reviews.
Ask about self-paced recorded plans and team programmes built around your work examples.
See how you will learn.
Meet your trainer and find a batch that fits your schedule.
| Batch | Days | Learning mode | Next session |
|---|---|---|---|
| Weekday batch | Weekdays | Classroom or live online | Confirm the next start date and class time |
| Weekend batch | Weekends | Classroom or live online | Confirm the next start date and class time |
Choose a weekday or weekend batch. Contact the team for the next start date, exact timings and available seats before enrolling.
Read learner feedback across Brolly AI programmes and ask the team about experiences from your chosen course.
Read Brolly AI reviews on GoogleSee how you will learn.
Meet your trainer and find a batch that fits your schedule.
Brolly AI offers the Quantum AI course as a video recording plan, live online classes and classroom training. Fees are shared on enquiry for your chosen mode, with the written inclusions, EMI options and the current batch offer. Ask at your free demo class.
The Quantum AI course runs for around 2–3 months in classroom and live online modes. Month 1 covers quantum computing foundations and QML basics, month 2 covers variational circuits, QNNs, quantum NLP, optimisation and post-quantum security, and month 3 covers quantum cloud platforms, industry capstone projects and placement preparation.
Compare the syllabus depth, hands-on labs, trainer experience and support. Brolly AI's 9-module syllabus covers QML, variational circuits, QNNs, quantum NLP, optimisation, post-quantum cryptography and quantum cloud, with labs in Qiskit and PennyLane, capstone projects, classroom or online batches and placement assistance. Try a free demo class first.
The syllabus has 9 modules: quantum computing and Quantum AI fundamentals, quantum machine learning, variational circuits and QNNs, quantum optimisation and generative AI, quantum NLP and vision, post-quantum cryptography, quantum cloud on AWS Braket, Azure Quantum and IBM Quantum, industry use cases with a capstone, and career readiness.
Basic Python and high-school linear algebra and probability are helpful, and classical machine learning knowledge is an advantage. None of these is mandatory, because the course covers the Python, maths and quantum mechanics essentials you need before moving to quantum machine learning. Curiosity about how quantum computers work matters most.
Yes. Freshers, graduates in CS, IT, maths, physics or electronics, and professionals from finance, healthcare, pharma or logistics can join. The course starts from qubits, gates and circuits and builds step by step to quantum machine learning, so you do not need prior quantum or AI experience to begin.
Quantum AI is an emerging field, and pay depends on your skills, portfolio, research experience and the employer. Many roles combine quantum skills with classical AI and ML, which tends to strengthen a profile. We do not publish guaranteed salary figures; ask the team about current hiring trends.
Placement assistance covers ATS-friendly resumes for quantum AI and ML roles, LinkedIn optimisation, a quantum AI interview question bank, aptitude preparation and mock technical and HR interviews, and your capstones form a GitHub portfolio for employers. It is not a job guarantee; ask which activities are included for your batch.
Ask whether a Brolly AI Quantum AI course completion certificate is included for your batch and what projects are required. The course also builds a foundation for vendor exams such as IBM's quantum developer certification, which is issued by IBM; exam fees are separate.
Yes. The Quantum AI course is offered as classroom training at our Kukatpally centre and as live online classes with flexible timings; ask about a self-paced recorded plan. Classroom and online batches follow the same curriculum, labs and placement support, with weekday and weekend options for working professionals.
You work with Qiskit, PennyLane, Google Cirq and TensorFlow Quantum for circuits and QML, Lambeq and Tket for quantum NLP, D-Wave Ocean for quantum annealing, CRYSTALS-Kyber for post-quantum cryptography, AWS Braket, Azure Quantum and IBM Quantum for cloud runs, and Jupyter and Google Colab notebooks.
Classical AI runs on bits (0s and 1s) on CPUs and GPUs. Quantum AI uses qubits, which can be in superposition and entangled, and applies them to machine learning, optimisation and simulation. Today most practical quantum AI is hybrid, pairing quantum circuits with classical models, which is how our course teaches it.
You build a QNN and VQC classifier compared with classical ML, a quantum NLP sentence classifier with Lambeq, a QAOA logistics route optimiser on AWS Braket, a quantum GAN for synthetic BFSI data with PennyLane, and a quantum-safe AI architecture using CRYSTALS-Kyber, all documented for your portfolio.
Quantum AI is an emerging field with growing interest from IT companies, research labs, pharma, BFSI and startups, supported by India's National Quantum Mission. Roles include quantum AI engineer, QML researcher, quantum cloud architect and post-quantum security engineer. Combining quantum skills with classical AI and ML makes your profile strongest.
Brolly AI's training centre is on the National Highway at Hyder Nagar, Kukatpally, Hyderabad 500085, within reach of KPHB Colony, JNTU, Nizampet, Miyapur, Hitech City and Madhapur. If you cannot travel, you can join the same Quantum AI course live online with the same syllabus and labs.
Visit the Kukatpally training centre or discuss live online options. Call ahead to arrange a centre visit and confirm current timings.
Brolly AI, 65, National Highway, Jai Bharat Nagar, Hyder Nagar, Vasantha Nagar, Kukatpally, Hyderabad, Telangana 500085See how you will learn.
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