Network Programming Training

Duration: 8 hours

Alpinum’s Network Programming Training helps engineers build practical networked software using C/C++, Rust and Python. The course is designed for teams developing systems that need reliable communication, efficient packet handling, asynchronous networking or network automation.

Participants work across low-level socket programming, asynchronous network services and higher-level automation workflows.

Who Should Attend?

This course is suitable for:

• • Software engineers developing networked applications

• • Systems engineers working with TCP/IP and packet flows

• • Embedded engineers building connected systems

• • Teams using Python, Rust or C/C++ for network automation and services

What the Course Covers

The course covers practical network programming across multiple languages and abstraction levels.

Key areas include:

• • C/C++ high-performance networking

• • BSD sockets and TCP/IP stack interaction

• • Rust asynchronous networking with Tokio

• • Memory-safe packet handling

• • Python network automation

• • RESTful network telemetry using FastAPI

• • Packet capture and protocol analysis

Practical Labs

Participants work through practical labs covering C/C++ networking, Rust async networking and Python network automation. Example tasks include implementing socket servers, building asynchronous TCP services, monitoring service health and creating telemetry interfaces.

Lab 1: C/C++ High-Performance Networking

Learning Objectives: Master low-level socket communication, TCP/IP stack interaction, and efficient packet processing.

Tasks:

• • Implement a server using raw BSD sockets to handle concurrent client connections.

• • Construct a custom TCP/IP stack layer to parse and encapsulate network headers.

• • Optimize data throughput using zero-copy packet processing techniques.

Extension Tasks:

• • Implement custom TCP congestion control algorithms.

• • Analyze the overhead of system call transitions in high-traffic scenarios.

Lab 2: Rust Async Networking

Learning Objectives: Utilize the Tokio runtime for memory-safe, asynchronous network services.

Tasks:

• • Build an asynchronous TCP echo server using the Tokio framework.

• • Implement memory-safe packet handling to prevent buffer overflows during payload processing.

• • Develop a concurrent connection manager to handle thousands of simultaneous client sessions.

Extension Tasks:

• • Integrate hyper for asynchronous HTTP/2 request handling.

• • Implement secure data transmission using rustls.

Lab 3: Python Network Automation

Learning Objectives: Rapidly develop network applications using high-level abstractions and asynchronous APIs.

Tasks:

• • Develop a network client using Python’s socket library for low-level communication.

• • Build a RESTful web service interface for network telemetry using FastAPI.

• • Implement asynchronous network polling using asyncio to monitor remote service health.

Extension Tasks:

• • Create a web-based dashboard using FastAPI to visualize real-time packet statistics.

• • Implement a WebSocket-based real-time notification system for network events.

Learning Objectives: Consolidate network stack knowledge into functional, real-world analytical tools.

Description: Develop a comprehensive networking toolkit comprising a TCP client/server pair for data exchange, a custom protocol analyzer, and a high-performance packet sniffer.

Tasks:

• • TCP Client/Server: Establish reliable communication channels for data transfer.

• • Protocol Analyzer: Decode and inspect application-layer data structures.

• • Packet Sniffer: Capture and filter live network traffic for diagnostic analysis.

Coverage Matrix

Project:

The course can include a Network Engineering Suite project, combining a TCP client/server pair, custom protocol analyser and packet sniffer.

Learning Outcomes

By the end of the course, participants will be able to build network clients and servers, understand TCP/IP behaviour, use asynchronous networking techniques and develop practical network automation tools.

Assessment

• • Hands-on Exercises: Directed development blocks focused on track-specific implementation challenges.

• • Quizzes: Milestone-based knowledge checks to ensure students remain aligned with architectural best practices throughout the project lifecycle.

Network Programming Training FAQs