IIT Patna is Offering a Free Online Course in Edge Computing | for 8 weeks Apply by 16 Feb

Calling all tech enthusiasts, software developers, and anyone curious about the future of computing! Are you ready to dive into the cutting-edge world of edge computing? Get ready because IIT Patna, one of India’s premier technology institutes, is offering a free online course that will equip you with the knowledge and skills needed to thrive in this rapidly evolving field.

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About the IIT Patna

Indian Institute of Technology Patna (abbreviated IIT Patna or IITP) is a public research university and technical institute located at Bihta near Patna, Bihar.[3] It is recognized as an Institute of National Importance by the Government of India. It is one of the second-generation IITs established by an Act of the Indian Parliament on August 6, 2008.

The permanent campus of IIT Patna is located at Bihta which is approximately 30 km west of Patna and has been fully operational since 2015.

IIT Patna’s campus is located at Amhara, Bihta, 35 km from Patna at a 501 acres (203 ha) site. The foundation stone of the IIT Patna, Bihta Campus was laid by Kapil Sibal in 2011. IIT Patna started its new session (in July 2015) in its permanent campus located at Bihta. The campus at Bihta was inaugurated by Prime Minister Narendra Modi on 25 July 2015. Earlier, the institute was operating from a temporary 10-acre (4.0 ha) complex in Pataliputra Colony, Patna, in buildings that have been renovated and were previously used by the Naveen Government Polytechnic.

About the Free Online Course

In this course, we will cover the fundamentals of Edge computing and its applications in low latency and critical real-time computing scenarios. The course brings in the theory of Edge computing, focusing on it as a complementary approach that addresses some of the limitations of cloud computing. The course will cover applications where edge computing is a necessity, such as real-time applications that require low latency and high bandwidth. For example, autonomous vehicles require real-time processing of data from sensors, which cannot be done in a centralized data center due to latency issues.

This course covers various innovations of waves from cloud computing to edge computing. This course provides an in-depth understanding of edge computing principles with different use cases of edge computing. In this course, we will explore different frameworks for computing over edge devices and the cloud. We will cover different techniques for distributed data analytics over edge devices like edge data centers. Different edge computing fundamentals will be covered, such as RTT, Docker containers, Kubernetes, MQTT, Kafka, time and clock synchronization, and key-value stores at the edge. We will also cover various cloud platforms that provide edge services.

This course also covers recent advances in machine learning, deep learning, and artificial intelligence with appropriate use cases in edge computing such as predictive maintenance, self-driving cars, and deep reinforcement learning for edge applications.

Course layout

Week 1: Introduction to Cloud and its limitations to support low latency and RTT. From Cloud to Edge computing: Waves of innovation

Week 2: Introduction to Edge Computing Architectures

Week 3: Edge Computing to support User Applications (5G-Slicing, self-driving cars and more)

Week 4: Concepts of distributed systems in edge computing such as time ordering and clock synchronization, distributed snapshot, etc.

Week 5: Introduction to Edge Data Center, Lightweight Edge Clouds and its services provided by different service providers.

Week 6: Introduction to docker container and Kubernetes in edge computing. Design of edge storage systems like key-value stores

Week 7: Introduction to MQTT and Kafka for end-to-end edge pipeline. Edge analytics topologies for M2M and WSN network (MQTT)

Week 8: Use cases of machine learning for edge sensor data in predictive maintenance, image classifier and self-driving cars. Deep Learning On-Device inference at the edge to support latency-based application

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Books and references

1. “Fog and Edge Computing: Principles and Paradigms”, Rajkumar Buyya (Editor), Satish Narayana Srirama (Editor), Wiley, 2019
2. Cloud Computing: Principles and Paradigms”, Editors: Rajkumar Buyya, James Broberg, Andrzej M. Goscinski, Wiley, 2011
3. “Cloud and Distributed Computing: Algorithms and Systems”, Rajiv Misra, Yashwant Patel, Wiley 2020.

Besides these books, we will provide Journal papers as references.

Duration

8 weeks

Exam Registration Ends 

16 Feb 2024

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How To Apply?

Click on the below button to apply to the IIT Patna Free Online Course Click Here