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Start Learning AI &Quantumat Rs.499Drive Innovation and StayAheadLearn AI & Quantum from IISc And QpiAI

You’ve taken a

Step in the rightdirection.

35,000+Data Engineer jobopenings in India with anaverage salary of 10.5LPA

₹48k CroreThe Indian AI market isvaluation as of August2020.

Source: Indeed

Source: Analytics India Magazine

Source: Dun & Bradstreet

Source: AI Multiple

40%of global organizationsare adding more jobsdue to AI adoption.

₹7.1k CroreThe global quantumcomputing market worthby 2025.

Course OverviewDiscover AI and Quantum from the fundamentals and

advance your way through Artificial Intelligence

algorithms, Machine Learning techniques and Quantum

programs. Gain strong foundational technical knowledge

and write, build, test, train and deploy AI/ML/Quantum

solutions. Throughout the course, you will be introduced

to real-world problems and applications to prepare you

for what the future holds.

Learning Experience

Self PacedLearningLearn on your schedule

Assignments & ProjectsGuided learning and implementation

IndustryPerspectiveTaught by industryleaders and professors

100%OnlineTheory and practical

Live InteractionsDoubt clearing sessions

Access India’sMostAdvancedQuantumSimulatorQpiAI Explorer is an offline learning tool thatoutstandingly combines the power of AIand Quantum within the same platform. Ithelps you learn, prepare, generate andpredict AI/ML models along with simulatingadvanced quantum circuits.

CollaborateWithEnterprises and SellYour SolutionsWith the know-how you gain through thecertification, you can build AI models,Quantum solutions and earn by directlyselling them to businesses on QpiAIMarketplace.

Secure a Certificate*from theWorld’s TopResearch Universityand QpiAIMaster AI and Quantum along with expertsfrom Indian Institute of Science, QpiAIleaders and secure a value-addedcertification for your resume to boost yourcareer credentials.

*Certification fee applicable.

Why Learn With Us?

Accelerate your career growth with

In(dustry)-DepthCurriculum

AI FoundationDip your toes in the field of AI

Chapter 1: Prerequisites forArtificial Intelligence(Contains 1 Module)

1.1 Linear Algebra

1.2 Probability Theory, Bayes Theoremand Statistics

1.3 Calculus and Optimization

Chapter 2: MachineLearning(Contains 3 Modules)

Supervised Machine Learning:

2.1 Introduction to Machine Learning,Supervised and Unsupervisedtechniques

2.2 Linear and Multiple LinearRegression, Performance Metrics,Regularization

2.3 Classification Models: KNN, LogisticRegression

2.4 Support Vector Machines;Classification Performance Metrics

2.5 Decision Trees, Bagging, Boostingand Ensemble Algorithms

Unsupervised Machine Learning:

2.6 Dimensionality Reduction: PCA

2.7 Clustering: K-Means Clustering

Chapter 3: Deep Learning(Contains 7 Modules)

3.1 Introduction to Deep Learning,Activation Functions, FeedforwardNetwork

3.2 Back Propagation, Loss Functions,Hyperparameter Tuning

3.3 Convolutional Neural Networks(CNN)

3.4 CNN Architectures for ImageClassification

3.5 Recurrent Neural Networks

3.6 Long Short-Term Memory Models

3.7 Autoencoders

Chapter 4: ReinforcementLearning(Contains 7 Modules)

4.1 Introduction to ReinforcementLearning and Multi Armed Bandits

4.2 Markov Decision Processes

4.3 Dynamic Programming (Value andPolicy Iteration)

4.4 Monte-Carlo Methods (On-policyand Off-Policy Algorithms)

Bonus: Practical Hands-onSession(Contains 6 Modules)

5.1 Machine Learning model generationwith scikit-learn

5.2 Deep Learning model generationwith PyTorch

Explorer Membership1 Month Included

& Access 1st Module

Start withINR 499

All Chapters in AI Foundation+

Chapter 5: Special Topicsin Machine Learning(Contains 6 Modules)

5.1 Dimensionality Reduction: t-SNE,Kernel PCA, Spectral Clustering

5.2 Exploratory Data Analysis

5.3 Feature Engineering,Hyperparameter Tuning, ModelSelection

Chapter 6: AdvancedTopics in Deep Learning(Contains 6 Modules)

6.1 Object Detection

6.2 Semantic Segmentation

6.3 Generative Adversarial Networks

6.4 Variational Autoencoders

Chapter 7: AdvancedReinforcement Learning(Contains 7 Modules)

7.1 Q-learning, Temporal DifferenceMethods

7.2 Function Approximation, DQN

7.3 Policy Gradient Techniques andActor Critic Methods

Chapter 8: BayesianMethods in MachineLearning(Contains 5 Modules)

8.1 Bayesian Inference

8.2 Bayesian Optimization

8.3 Variational Methods

8.4 Gaussian Process Regression




9.3 Reinforcement Learning agenttraining in openAI Gym

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AI ExpertDive Deep into AI & ML


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All Chapters in AI Foundation+

Chapter 5: Special Topicsin Machine Learning(Contains 6 Modules)

5.1 Dimensionality Reduction: t-SNE,Kernel PCA, Spectral Clustering

5.2 Exploratory Data Analysis

5.3 Feature Engineering,Hyperparameter Tuning, ModelSelection

Chapter 6: AdvancedTopics in Deep Learning(Contains 6 Modules)

6.1 Object Detection

6.2 Semantic Segmentation

6.3 Generative Adversarial Networks

6.4 Variational Autoencoders

Chapter 7: AdvancedReinforcement Learning(Contains 7 Modules)

7.1 Q-learning, Temporal DifferenceMethods

7.2 Function Approximation, DQN

7.3 Policy Gradient Techniques andActor Critic Methods

Chapter 8: BayesianMethods in MachineLearning(Contains 5 Modules)

8.1 Bayesian Inference

8.2 Bayesian Optimization

8.3 Variational Methods

8.4 Gaussian Process Regression




9.3 Reinforcement Learning agenttraining in openAI Gym

1300 Hours worth of QpiAI-Pro access on QpiCloudwith GPU Instance

QpiAI™ Pro is the most collaborativeway to ideate ML & AI Models. Engage inthe next level of futuristic innovations inAI/ML.

10.1 Model discovery using Pro

10.2 model generation and Automl

10.3 Model deployment on edge devicesand cloud

10.4 End to End Project 1 with 48 hrs ofcloud usage (Student can chooseproject)




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AI ProBecome The AI Grandmaster


& Access 1st Module

Start withINR 499


QuantumFoundationDip your toes in the field of Quantum

Chapter 1: Prerequisites forQuantumComputing(Contains 1 Module)

1.1 Essential Linear Algebra

1.2 Basics of Quantum Mechanics

1.3 General Lecture on QuantumTechnology

1.4 Essential Computer Science

Chapter 2: QuantumStates and Qubits(Contains 8 Module)

2.1 Single-qubit states andsuperposition

2.2 Single-qubit gates andmeasurements

2.3 Two-qubit states, entanglement,and Bell’s inequality

2.4 Two-qubit gates and observable

2.5 Multi-Qubit states (GHZ and Wstates)

2.6 Universal gates and quantum circuitmodel

2.7 Quantum adiabatic computationand the Ising model

Chapter 3: QuantumAlgorithms(Contains 8 Modules)

3.1 Quantum Circuits

3.2 Deutsch-Jozsa Algorithm

3.3 Bernstein-Vazirani Algorithm

3.4 Quantum Fourier Transform

3.5 Quantum Factoring: Shor’sAlgorithm

3.6 Quantum Database Search: Grover’sAlgorithm

3.7 Circuit Simulations on QpiAI ExplorerSoftware

Chapter 4: QuantumProtocols(Contains 8 Modules)

4.1 Quantum Teleportation

4.2 Superdense Coding

4.3 Simulation of QpiAI ExplorerSoftware

4.4 Quantum Cryptography and KeyDistribution

4.5 Quantum Communication andNetworks

4.5 Guest Lecture - QKD,Communications

Chapter 5: QuantumHardware:Superconducting Qubits(Contains 10 Modules)

5.1 Introduction to physical qubits

5.2 Circuit Quantum Electrodynamics

5.3 Transmon and Coupled Qubits

5.4 Control and Readout

Chapter 6: QuantumProjects: Foundation(Contains 6 Modules)

6.1 Quantum Foundation Project 1




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Quantum ExpertDive deep into Quantum

All Chapters in Quantum Foundation+

Chapter 7: NISQ Devices(Contains 7 Modules)

7.1 Noise Models

7.2 Quantum Error Mitigation

7.3 Quantum Volume and PerformanceMetrics

7.4 Hybrid Quantum-ClassicalComputing

Chapter 8: QuantumAlgorithms forApplications(Contains 6 Modules)

8.1 Quantum Inspired Computing

8.2 Variational Quantum Algorithms

8.3 Variational Quantum Eigensolver

8.4 Quantum Approximate OptimizationAlgorithm

8.5 Quantum Machine Learning: QNNs

8.6 HHL Algorithm for Solving LinearSystems

Chapter 9: QuantumHardware:Semiconducting Qubits(Contains 10 Modules)


9.2 Spin Physics and Quantum Dots


9.4 Scalability

Chapter 10: QuantumProjects: Expert(Contains 6 Modules)

10.1 Quantum Expert Project 1




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& Access 1st Module

Start withINR 499


All Chapters in AI Expert+

Chapter 1: Prerequisites forQuantumComputing(Contains 1 Module)

1.1 Essential Linear Algebra

1.2 Basics of Quantum Mechanics

1.3 General Lecture on QuantumTechnology

1.4 Essential Computer Science

Chapter 2: QuantumStates and Qubits(Contains 8 Module)

2.1 Single-qubit states andsuperposition

2.2 Single-qubit gates andmeasurements

2.3 Two-qubit states, entanglement,and Bell’s inequality

2.4 Two-qubit gates and observable

2.5 Multi-Qubit states (GHZ and Wstates)

2.6 Universal gates and quantum circuitmodel

2.7 Quantum adiabatic computationand the Ising model

Chapter 3: QuantumAlgorithms(Contains 8 Module)

3.1 Quantum Circuits

3.2 Deutsch-Jozsa Algorithm

3.3 Bernstein-Vazirani Algorithm

3.4 Quantum Fourier Transform

3.5 Quantum Factoring: Shor’sAlgorithm

3.6 Quantum Database Search: Grover’sAlgorithm

3.7 Circuit Simulations on QpiAI ExplorerSoftware

Chapter 4: QuantumProtocols(Contains 8 Module)

4.1 Quantum Teleportation

4.2 Superdense Coding

4.3 Simulation of QpiAI ExplorerSoftware

4.4 Quantum Cryptography and KeyDistribution

4.5 Quantum Communication andNetworks

4.5 Guest Lecture - QKD,Communications

Chapter 5: NISQ Devices(Contains 7 Modules)

5.1 Noise Models

5.2 Quantum Error Mitigation

5.3 Quantum Volume and PerformanceMetrics

5.4 Hybrid Quantum-ClassicalComputing

Chapter 6: QuantumAlgorithms forApplications(Contains 6 Modules)

6.1 Quantum Inspired Computing

6.2 Variational Quantum Algorithms

6.3 Variational Quantum Eigensolver

6.4 Quantum Approximate OptimizationAlgorithm

Joint AI &Quantum Expert


& Access 1st Module

Start withINR 499Become the AI & Quantum Grandmaster

6.5 Quantum Machine Learning: QNNs

6.6 HHL Algorithm for Solving Linear Systems

Chapter 7: QuantumHardware:Superconducting Qubits(Contains 10 Module)


7.2 Circuit Quantum Electrodynamics

7.3 Transmon and Coupled Qubits


Chapter 8: QuantumHardware:Semiconducting Qubits(Contains 10 Modules)


8.2 Spin Physics and Quantum Dots


8.4 Scalability

Chapter 6: QuantumProjects: Foundation(Contains 6 Modules)




Chapter 10: QuantumProjects: Expert(Contains 6 Modules)




CourseWrap-up and Future Directions


Learn In-Demand SkillsFrom Global Leaders

Prof. ShalabhBhatnagarProfessor,Dept. of ComputerScience and Automation.

Indian Institute of Science,Bangalore.

Dr. NagendraNagarajaCEO& Founder,QpiAI India.

PhD, Coventry University UK.

Prof. Ujjwal SenProfessor,QuantumInformation & ComputationGroup.

Harish-Chandra ResearchInstitute, Allahabad.


Dr. AmlanMukherjeeDirector QuantumHardwareResearch,QpiAI India.

PhD, TIFR India.

Dr. Arun SehrawatQuantumResearch Scientist,QpiAI India.

PhD, National University ofSingapore.

Pinakin PadaliaDirector QuantumCircuits,QpiAI India.

MS, TU Delft Netherlands.

LakshyaPriyadarshiSoftware and AlgorithmsResearcher,QpiAI India.

B.Tech, Institute of Engineering& Technology.

Aswanth KrishnanDirector QuantumResearch,QpiAI India.

MSc, NIT Karnataka.

That’s not all.

And more guest lecturersfrom India and Abroad.

Sachin KumarDirector of AI Research,QpiAIIndia.

B.Tech, NIT Trichy.

Make Your NextMove Towards YourCareer Goals

Sign up on QpiAI ExplorerLogin on the QpiAI Explorer panel using your email ID &password / sign up with a new account.

Start learning from expertsStart with Rs.499, get QpiAI Explorer Membership for 1month and unlock access to 1st Module. Pay per moduleand upgrade to more as you learn.

Become a verified AI andQuantum solutions sellerExcel in assignments and exams, get certified from IIScand QpiAI, earn by becoming a verified seller on QpiAIMarketplace.

Learn at your own pace andimprove your knowledgeLearn at your own pace by renewing the QpiAI ExplorerMembership to keep course access. Membershipincludes exclusive benefits like the Explorer application,live discussions, forum and more.

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AI FoundationGet complete course for 3 months atRs.19,990

QuantumFoundationGet complete course for 3 months atRs.19,990

AI ExpertGet complete course for 6 months atRs.29,990

Quantum ExpertGet complete course for 6 months atRs.29,990

AI ProGet complete course for 6 months atRs.1,00,000

Joint AI &Quantum ExpertGet complete course for 6 months atRs.49,990

Course FeeStart Learning Any Course at just Rs.499Get access to 1stmodule and 1 Month QpiAI Explorer Membership. Pay per module and learn at yourown pace. Retain course & explorer access with Rs.499/month after 1st month

Achieve Your Goals Withoutthe Fee Being a Barrier

SELF-PACED TERM-BASED

Study Material Access Unlimited Access(during Membership)

3 months/6 months(based on your course)

QpiAI Explorer Access Unlimited Access(during Membership)

6 months/12 months free(based on your course)

Discussion Forums & InteractiveSessions

Unlimited Access(during Membership)

3 months/6 months free(based on your course)

Learning Pace Learn on your ownschedule

Learn within 3 /6 months(based on your course)

Payment Module based fee One time course fee

CertiificationOptional add-on(after completion of allmodules)

Included in course fee

Additional BenefitsExclusive Content(newsletters, community-ledlearning and contests)

What you get


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