Indian Institute of Technology Delhi

Online PG Diploma in Advanced Communication Engineering with Quantum and AI Integration - Batch 01

Indian Institute of Technology Delhi

Online PG Diploma

About Programme

The Online Postgraduate Diploma in Advanced Communication Engineering with Quantum and AI Integration is designed to equip professionals with advanced knowledge and practical skills at the convergence of three transformative technologies: Artificial Intelligence (AI), Quantum Networking, and Wireless Communications. This multidisciplinary programme blends theoretical concepts with hands-on applications, enabling learners to tackle complex challenges in modern telecommunications, intelligent systems, and secure network infrastructures.

By integrating machine learning, advanced wireless communication systems, quantum communication protocols, and secure networking techniques, the programme empowers participants to stay ahead in the rapidly evolving tech landscape.

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Programme Content

1. Semester 1: Introduction to Machine Learning (3 Credits)

Supervised and unsupervised learning

Neural networks and deep learning

Reinforcement learning for network optimisation

ML for signal processing and noise reduction

AI-driven network traffic prediction and anomaly detection

Application of ML in 5G and IoT systems

Learning Outcomes

Understand supervised and unsupervised learning, deep learning, and reinforcement learning.

Apply machine learning for signal processing, noise reduction, and network traffic prediction.

Implement AI-driven anomaly detection in communication systems.

Explore ML applications in 5G/6G and IoT networks for performance optimization

2. Wireless Communications (3 Credits)

Cellular network evolution (4G, 5G, and 6G)

Channel modeling and estimation

Modulation and coding schemes

Interference management techniques, IoT/M2M communication protocols

Spectrum efficiency and resource allocation

Learning Outcomes

Explain cellular network evolution (4G, 5G, 6G) and their technical advancements. Understand channel modeling, modulation, coding, and spectrum efficiency in wireless networks.

Develop interference management techniques for IoT/M2M communication.

Analyse resource allocation strategies for optimising wireless communications

3. Selected Topics in Communication Systems and Networking-I (3 Credits)

Quantum entanglement and teleportation in communication

Quantum key distribution (QKD) protocols

Quantum repeaters and networking nodes

Integration of Quantum systems with classical networks Applications of Quantum communication in secure networks

Learning Outcomes

Understand the principles of quantum entanglement and quantum key distribution (QKD).

Analyse the role of quantum repeaters and quantum networking nodes in secure communication.

Explore hybrid classical-quantum networking models for data security.

Study real-world applications of quantum communication in secure networks.

4. Wireless Communication Laboratory (3 Credits)

Quantum entanglement and teleportation in communication

Quantum key distribution (QKD) protocols

Quantum repeaters and networking nodes

Integration of Quantum systems with classical networks

Applications of Quantum communication in secure networks

Learning Outcomes

Learners will understand key concepts of quantum communication, including entanglement, teleportation, and Quantum Key Distribution (QKD) protocols for secure data transmission. They will explore the role of quantum repeaters and networking nodes in enhancing communication efficiency and analyse the integration of quantum systems with classical networks.

5. Semester 2: MIMO Wireless Communications (3 Credits)

Introduction to Space-Time Diversity

MIMO Channel

MIMO Information Theory

Error Probability analysis

Transmit Diversity and space time coding

Linear STBC design

Differential coding for MIMO

Precoding

Multiuser MIMO

Massive MIMO

Recent advancement in MIMO

Learning Outcomes

Understand the fundamentals of MIMO systems, spatial multiplexing, and diversity gain.

Implement MIMO systems for improved spectral efficiency and network reliability.

Develop real-time signal processing techniques for 5G/6G networks.

Test and analyse advanced beamforming techniques in wireless communication.

6. Selected Topics in Communication Systems and Networking-II (3 Credits)

Key 5G technologies

5G numerology

5G frame structure

Physical downlink shared channel(PDSCH)

Physical Downlink Control Channel(PDCCH)

Tansmit chain

Demoulation reference signal(DM-RS)

Sounding Reference Signal(SRS)

MIMO in 5G

Learning Outcomes

Gain expertise in Software-Defined Radios (SDRs) and their applications.

Explore Massive MIMO for mmWave and sub-6GHz bands for 5G/6G networks.

Analyse energy-efficient and green communication strategies in wireless networks.

Implement advanced beamforming algorithms for better network performance.

7. Selected Topics in Information Processing-I (3 Credits)

Advanced quantum error correction codes

Post-quantum cryptographic algorithms

Hybrid classical-quantum communication systems

Fault-tolerant quantum network designs

Quantum-enhanced protocols for secure data transmission

Learning Outcomes

Understand advanced quantum error correction codes and post-quantum cryptography.

Explore hybrid classical-quantum communication systems for secure data transmission.

Design fault-tolerant quantum network architectures for real-world applications.

Implement quantum-enhanced security protocols for future communication systems.

8. Major Project Part-I (Communication Engineering) (6 Credits)

Practical project work on quantum communication, network security, or advanced wireless systems

Hands-on experimentation with quantum key distribution (QKD), hybrid classical-quantum systems, and testing of new communication protocols.

Learning Outcomes

Apply theoretical concepts to practical projects in quantum communication, network security, or advanced wireless systems.

Gain hands-on experience with Quantum Key Distribution (QKD), hybrid classical-quantum systems, and the testing of new communication protocols.

Enhance problem-solving skills, research capabilities, and technical proficiency in cutting-edge communication technologies.

9. Disclaimer

Online PG Diplomas are the academic programme of IIT Delhi, and there is no campus placement or assistance provided from IIT Delhi in these programmes.

The evaluation of minor projects is subject to the faculty's discretion, based on academic guidelines and instructional objectives. Assessment criteria may vary depending on the nature of the project and its alignment with the course framework.

Programme Audience

Eligibility Criteria

BE/BTech/MSc/MCA graduates in Electronics & Communication Engineering (ECE), Electrical Engineering (EE), Computer Science & Engineering (CSE), Information Technology (IT), Applied Physics / Engineering Physics, Telecommunications Engineering, Mathematics / Applied Mathematics, Data Science / AI & ML or closely related academic disciplines with minimum 60% marks and 6 CGPA

Working professionals having greater than 2 years of experience with minimum 55% marks or 5.5 CGPA

Working professionals having greater than 5 years of experience with minimum 50% marks or 5 CGPA

Programme Benefits

Online PG Diploma From Prestigious IIT Delhi

Gain Affiliate Alumni Status From IIT Delhi

First-Of-Its-Kind Curriculum Combining AI, Quantum Networking, And Advanced Wireless Communications

Rich Peer Group Learning And Networking

Earn Up To 27 Credits From IIT Delhi, Which Can Be Saved In The Academic Bank Of Credits (ABC)

Industry-Relevant 60 Hours Capstone Project

Hands-On Lab Experience

1 Day Campus Immersion Opportunity

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Prashansa Uttam

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+91 9403890085[email protected]Mon โ€“ Fri, 9am โ€“ 5pm IST

Indian Institute of Technology Delhi

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Online PG Diploma in Advanced Communication Engineering with Quantum and AI Integration - Batch 01 | IIT Delhi