Upon completing this course, students will be able to:Explore advanced cloud computing concepts and their extension to edge computing with AI integration.Explain the role of the edge-cloud continuum in supporting next-generation IoT use cases with strict computational, energy, and latency requirements.Apply knowledge of distributed systems to design and deploy efficient, scalable solutions for IoT and EdgeAI applications.

The course includes:Lectures: Interactive sessions focused on presenting and discussing theoretical concepts and foundational knowledge. Practical sessions: Hands-on demonstrations and tutorials showcasing the technologies and tools used in edge-cloud computing, Edge AI, IoT, ...Seminar Sessions: Student-led presentations and discussions on relevant topics, fostering peer learning and engagement.

During the semester, we will focus on the following essential topics:Virtualization technologies (including Linux Containers and Docker) Cloud computing essentials (including IaaS, VMaaS, FaaS, BaaS and SaaS)Computing continuum (Edge, Fog, Cloud computing)Internet of Things  and its usecasesEdge AIData analytics for IoT applications in the computing continuum Distributed Ledgers for IoT systemsPutting it all together: Designing and testing a low-latency application on the  edge-enabled ifrastructure

Basic concepts of computer systems and programming are necessary. Knowledge of distributed systems, cloud computing, and performance evaluation and analysis is welcome.

Theoretical Evaluation: Individual quizzes conducted during lectures.Activity and Participation: Active engagement in class discussions, group activities, and hands-on sessions, contributing to the overall learning experience.Practical Evaluation: Reports and oral presentations detailing assignments/projects, individually or as part of a team.

Quizzes focus on asking theoretical concepts from the lectures;  no tutorials/demonstrations/design topics are covered by the quizzes.The reports and oral presentations cover the design of a system of choice, which aligns with the practical sessions and tutorials/demonstrations.

10% participation and class activities20% quizzes30% assignments40% projects****The top-performing team will have the opportunity to contribute to a research paper.****