The Computer Networks course develops a structured foundation across four source-defined units. Learners begin with network foundations, progress to addressing and local networks, then move into internet services and routing, and close with transport, applications, and troubleshooting. The sequence is supported by theory sessions and hands-on sessions, helping learners connect each unit with a consistent learning rhythm.
The course progresses from network foundations to addressing and local networks, then internet services and routing, before closing with transport, applications and troubleshooting. Designed for students, technical learners and early-career professionals, the course provides a focused six-week online pathway that preserves the supplied module order and topic pattern. The emphasis remains on the skills and concepts named in the source curriculum, with no unsupported modules, tools or outcomes added.
Understand network communication from addressing and routing to troubleshooting
This opening module establishes network foundations within the Computer Networks learning pathway. The theory session develops conceptual understanding and the hands-on session reinforces the module through practical activity. It creates the foundation for the later modules without adding topics beyond the supplied curriculum.
This module develops addressing and local networks as the next stage of the Computer Networks pathway. The theory session develops conceptual understanding and the hands-on session reinforces the module through practical activity. The unit connects the earlier foundation with the concepts introduced in the modules that follow.
This module develops internet services and routing as the next stage of the Computer Networks pathway. The theory session develops conceptual understanding and the hands-on session reinforces the module through practical activity. The unit connects the earlier foundation with the concepts introduced in the modules that follow.
The final module focuses on transport, applications, and troubleshooting, completing the source-defined Computer Networks sequence. The theory session develops conceptual understanding and the hands-on session reinforces the module through practical activity. It brings the four-module pathway to a clear conclusion while preserving the exact source topic structure.
The project submission process helps learners apply Generative AI concepts in a practical and structured way. Therefore, participants complete project work to demonstrate their understanding, originality, and professional application.
First, explore the project topics available in the LMS. Review the project description, learning outcomes, and required skills before selecting your topic.
If required, ask your guide or mentor for support. After that, finalize your topic and begin your project work.
Once your project report is complete, follow the project submission guidelines for formatting, font, spacing, citations, and originality.
Your report will go through a plagiarism check. Therefore, keep the work original, properly structured, and clearly written.
Finally, upload your final PDF report and any supporting files to the LMS.
After submission, your project is evaluated by an organization mentor and an internal faculty supervisor.
The evaluation focuses on report quality, depth of understanding, concept application, problem-solving skills, professional behaviour, and timely submission. In some cases, a viva or presentation may also be required.
Credits may be awarded as per applicable UGC NEP 2020 guidelines. In addition, your internship certificate will be issued after report approval, evaluation completion, and uploading of the required organization certificate.
Thereafter, learners can download the internship completion certificate directly from the LMS.