LPU - Lovely Professional University
What you'll learn

A hands-on, 4-week summer internship designed to provide students with practical knowledge of computer networks. Emphasis on real-time simulation using Cisco Packet Tracer, virtual lab integration using GNS3, and deep packet inspection through Wireshark. Structured learning through guided lab exercises, real-world scenarios, and a capstone mini project. Aligned with networking concepts relevant to industry certifications and job roles.

  • Overview of Computer Networks, OSI and TCP/IP Models, Types of Networks, Devices, and Media, Network Topologies and Protocols, Introduction to IP Addresses, IPv4 and IPv6 Addresses, IP Addressing, Subnetting, and VLSM, IPv4 addresses depletion and IPv6 rise
  • Classes in IP Addresses, Classful, and Classless Addressing, NetID and Host ID, CIDR, Subnetting and Supernetting, Subnet Mask and examples, IP Addressing in Networking Devices (Hub, Switches, Routers, etc.)
  • Simple LAN Simulation, Saving, Exporting, and Managing File, Switching Concepts, MAC Address Table
  • NAT Public and Private IP Addresses Internet Protocol Protocols: ARP, RARP Protocols:ICMP and IGMP Layer Protocols: TCP and UDP Protocols: , DHCP, HTTP, FTP
  • Routing Tables Static and Dynamic Routing Static and Dynamic Routing Algorithms Routing Information Protocol
  • Wireshark: Installing and Interface Overview Packet Capture and Filters Basic Protocol Analysis
  • Client and Server Approach DHCP server Configuration DNS Server Configuration FTP Server Configuration Project Work and Review Project Work and Review Project Work and Review
  • Network software architecture, Protocol layers and their functions, Network hardware and topologies, Networking devices – Hub, Switch, Router, Uses of computer networks, Types of networks – LAN, MAN, WAN, PAN, Introduction to internet, browsers, web server, URL, domain name, IP address, Protocol layering, TCP/IP protocol suite, OSI model
  • Functions of network layer, IPv4 addressing – Classful and Classless, Subnetting concepts and examples, Supernetting overview, IPv4 vs IPv6 basics, IPv4 header structure, Packet forwarding techniques – Static and Dynamic routing overview, Subnetting exercises and IP design using Packet Tracer
  • Routing protocol overview – RIP, OSPF, Distance vector and link state routing, Congestion control techniques, Introduction to transport layer, TCP vs UDP – Features and headers, TCP handshake process, Routing configuration using Packet Tracer – Static and RIP
  • Domain Name System (DNS), Email protocols, FTP basics, Overview of Software Defined Networking (SDN) and SD-WAN, Content Delivery Networks (CDN), Introduction to AI applications in networking – Traffic prediction, intrusion detection, and network automation
  • "Packet sniffing, Active vs Passive sniffing, Promiscuous mode vs non-promiscuous mode, Ethical considerations and legal aspects, Starting and stopping capture, Capture options and configurations, Capturing packets on Ethernet/WiFi, Saving and exporting capture files, Understanding protocol hierarchy, Analysis of common protocols:, ARP – Address Resolution Process ICMP – Ping and diagnostics, TCP – Connection-oriented communication, UDP – Fast, connectionless communication, HTTP/HTTPS – Web communication, DNS – Domain name resolution"
  • Client Server Approach, DHCP Server Configuration, DNS Server Configuration, FTP Server Configuration, Basic Troubleshooting of Network Services, Use Cases in Real World Networks

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Dr. Manoj Sindhwani
Professor & Assistant Dean

Dr. Manoj Sindhwani is an Associate Professor at Lovely Professional University, serving as Training and Placement Head and Assistant Dean. He is CCNA certified and has completed 20+ online learning MOOCs in emerging technologies. He holds a PhD in Vehicular Ad-hoc Networks and has extensive experience in conducting training programs, workshops, and skill development courses in Computer Networks. His focus is on delivering hands-on, industry-oriented learning aligned with careers in Networking, Cyber Security, Cloud Computing, and AI-driven technologies.