The Network Engineer Masterclass is designed to equip you with real-world knowledge in configuring, managing, and securing enterprise networks. Through practical labs and virtual simulations, you’ll gain hands-on experience with Cisco CLI, VLAN configuration, routing protocols, subnetting, and network troubleshooting. Perfect for beginners and professionals preparing for certifications like CCNA.
About Course
This course covers fundamental to advanced concepts in network engineering. You'll work with packet tracer labs, learn to configure switches and routers, implement firewalls, and monitor networks for performance and security. The curriculum is aligned with CCNA and entry-level network administrator roles.
No prior experience is needed—the course starts from the basics.
You'll use network simulators like Cisco Packet Tracer and real device scenarios.
Yes, the content aligns closely with the CCNA exam objectives.
Yes, these core topics are covered step-by-step with hands-on practice.
Yes, the course covers both wired (LAN) and wireless (Wi-Fi) networking concepts and setups.
What Will You Learn?
- Networking Basics & OSI Model – Understand how data flows across devices using the OSI and TCP/IP models.
- IP Addressing & Subnetting – Master subnet masks, CIDR notation, and calculate IP ranges.
- Switching & VLANs – Configure VLANs, trunk ports, and inter-VLAN routing on Cisco devices.
- Routing Protocols – Implement and troubleshoot dynamic routing using OSPF, RIP, and EIGRP.
- Firewall Configuration & NAT – Secure networks using ACLs, NAT, and basic firewall setups.
- Wireless Networking – Understand access points, SSIDs, and securing wireless networks.
- Network Troubleshooting – Use ping, traceroute, and Cisco CLI to diagnose and resolve network issues.
Audience
Ideal for IT students, junior network administrators, system support staff, or anyone aiming for roles like Network Engineer, NOC Technician, or CCNA-certified professional.
Course Content:
Understanding the role of a data scientist
Key concepts in data science
Overview of the data science process
Python programming basics
Data manipulation with pandas
Data visualization with matplotlib and seaborn
