dgt_net02 – The Physical Layer

Module Title: dgt_net02 – The Physical Layer

Overview:
The “dgt_net02 – The Physical Layer” module covers the foundations of networking for students and professionals, focusing on the physical layer as defined by the OSI (Open Systems Interconnection) model. It combines theory with practical work: participants learn to design, build, and troubleshoot networks at their most basic level by directing an AI agent in natural language.

The physical layer is pure theory until something breaks, and then it is the first thing to check. In this module you learn how signals, media and topologies behave, and then you apply that knowledge by asking the machine to build topologies in a network emulator, to collect link states, negotiated speeds and interface error counters, and to explain what it sees. Your job is to judge whether its diagnosis is consistent with physics: a CRC error storm or a duplex mismatch tells a story, and you must be the one who can read it.

Module Objectives:
– Understand the Role of the Physical Layer: Learn about its functions within the OSI model and how it interfaces with the other layers.
– Explore Key Components and Technologies: Delve into cables, connectors, transceivers, hubs, repeaters, and network topologies that make up physical layer infrastructure.
– Study Signal Transmission: Study the various transmission media (copper, fiber optics, wireless) and understand the principles of signal encoding and propagation.
– Analyze Network Standards and Protocols: Examine relevant standards such as Ethernet (IEEE 802.3) and emerging technologies affecting physical networks.
– Develop Troubleshooting Skills: Learn to guide the machine through the diagnosis of physical layer issues and to evaluate the evidence and conclusions it brings back.

Module Content:
1. Introduction to the Physical Layer:
– Overview of the OSI model
– Role and significance in network architecture

  1. Transmission Media:
  2. Copper cables (coaxial, twisted pair)
  3. Fiber optics
  4. Wireless transmission principles

  5. Network Topologies and Layouts:

  6. Bus, star, ring, mesh, and hybrid topologies
  7. Impact on performance and reliability

  8. Hardware Components:

  9. Cables and connectors (RJ45, LC, ST)
  10. Devices such as hubs, switches, repeaters, bridges, and routers

  11. Signal Encoding Techniques:

  12. Analog vs. digital signals
  13. Common encoding methods: NRZ, Manchester, AMI

  14. Standards and Protocols:

  15. Detailed study of Ethernet standards (IEEE 802.3)
  16. Emerging technologies and future trends

  17. Practical Applications and Natural-language Labs:

  18. Labs in which you describe different network topologies to the machine, have it build them in an emulated environment, and verify the result
  19. Interpreting the readings of network testing tools such as cable testers, multimeters, and spectrum analyzers, and the interface statistics the machine collects

  20. Troubleshooting Physical Layer Issues:

  21. Common problems and diagnostic techniques
  22. Case studies for real-world problem-solving

Target Audience:
This module is intended for networking students, IT professionals, system administrators, and anyone involved in network design and maintenance who wants to deepen their understanding of the physical layer.

Module Format:
The module is delivered through a combination of lectures, interactive discussions, natural-language labs, and case studies. Theory always comes first; in the labs you never type commands yourself, but instruct the machine, question its findings, and correct it. Students have access to online resources, including recorded sessions and supplementary reading materials.

The module “dgt_net02 – Physical Layer” covers the components that form the base of any network infrastructure, as used in networking and telecommunications.
The students can push their exercises to the Academy DevOps & SRE Git project. For this module, create a folder with your username as its name in the following subfolder: https://github.com/Garanti-Del-Talento/gdt_academy