Data Communication Networks

This 4-hour course demystifies data communication networks, offering a comprehensive overview of the concepts, structures, and mechanisms enabling digital communication across platforms and devices.

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Course curriculum

1. Segment 01 - Introduction to Module 1
2. Segment 02 - The Concept of Data Networking
3. Segment 03 - Components of a Network Nodes and Links
4. Segment 04 - Data Transfer Packets, Frames, and Segments
1. Segment 05 - The Geometry of Networks: Analyzing Topologies
2. Segment 06 - The Pros and Cons of Various Network Topologies
3. Segment 07 - Scenario: Based Topology Selection
1. Segment 08 - Introduction to Networking Protocols
2. Segment 09 - Dissecting the TCP-IP Model
3. Segment 10 - Protocol Suites and Their Purposes
1. Segment 11 - The Necessity of Network Security
2. Segment 12 - Basic Security Measures for Data Protection
3. Segment 13 - Security Protocols and Their Significance
1. Segment 14 - Introduction to Module 2
2. Segment 15 - Firewall Technologies
3. Segment 16 - Authentication Protocols
4. Segment 17 - Virtual Private Networks
1. Segment 18 - Definition and Concepts
2. Segment 19 - Virtual LAN (VXLAN)
3. Segment 20 - Network Functions Virtualization (NFV)
1. Segment 21 - Cloud Service Models
2. Segment 22 - Cloud Deployment Models
3. Segment 23 - Network Considerations in Cloud Environments
1. Segment 24 - Introduction to Module 3
2. Segment 25 - Comparison of dynamic and static routing protocols
3. Segment 26 - Evaluation of common routing protocols (e.g., OSPF, EIGRP, BGP) based on scalability and complexity
4. Segment 27 - Selection criteria for choosing the most appropriate routing protocol
1. Segment 28 - Importance of QoS in network design for optimizing bandwidth usage
2. Segment 30 - Configuration of QoS parameters to prioritize specific types of network traffic
3. Segment 31 - Impact of QoS on application performance and enduser experience
1. Segment 32 - Introduction to network monitoring tools (e.g., Wireshark, SNMP, NetFlow)
2. Segment 33 - Role of Network Management Systems (NMS) in proactively monitoring network health
3. Segment 34 - Utilization of log files and alerts for identifying and troubleshooting network issues
1. Segment 35 - Introduction to Module 4
2. Segment 36 - Exploring the role of networks in the IoT ecosystem
3. Segment 37 - Challenges and solutions for managing the massive influx of IoT devices
4. Segment 38 - Security considerations in network design for IoT
1. Segment 39 - Definition and significance of edge computing in network architectures
2. Segment 40 - Implications of edge computing on reducing latency and enhancing performance
3. Segment 41 - Use cases and deployment scenarios for edge computing in networks
1. Segment 42 - Integration of AI and ML algorithms for network optimization
2. Segment 43 - Automation of network management tasks using intelligent algorithms
3. Segment 44 - Security considerations in network design for IoT
4. Segment 45 - Conclusion

About this course

Free
44 lessons
4 hours of video content

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Data Communication Networks

Course curriculum

Module 1.1: The Building Blocks of Data Communication

Module 1.2: Topological Structures of Connectivity

Module 1.3: Protocols: The Rulebooks of Networking

Module 1.4: Fundamentals of Network Security

Module 2.1: Network Security and Authentication

Module 2.2: Network Virtualization

Module 2.3: Cloud Networking

Module 3.1: Routing Protocols Selection

Module 3.2: Quality of Service (QoS) Configuration

Module 3.3: Network Monitoring and Management Tools

Module 4.1: Internet of Things (IoT) Integration

Module 4.2: Edge Computing

Module 4.3: Artificial Intelligence (AI) and Machine Learning (ML) in Network

About this course

Discover your potential, starting today