If you can write a Python script that scans a network, checks port availability, and logs the results automatically — you're immediately more useful than 90% of junior network engineers who only know how to click through GUIs. That's the pitch behind this course, and it's a reasonable one.
But is Build 10 Network Applications with Python actually worth your time? The course sits at 4.8/5 on Udemy and it's free — which sounds like an obvious yes. The reality is more nuanced. Here's what you need to know before you enroll.
What "Build 10 Network Applications with Python" Actually Teaches
The course is project-driven. Rather than spending weeks on Python syntax before you touch anything real, you build ten functional network tools from the start. These aren't toy examples — they include things like:
- A port scanner that checks which services are exposed on a target host
- A network bandwidth monitor
- A packet sniffer using raw sockets
- Scripts that interact with network devices via SSH
- A simple chat application over TCP sockets
The instructor uses network emulators (rather than just localhost testing), so you're working in something that resembles a real environment. This matters: a lot of Python networking tutorials test against 127.0.0.1 and call it a day. Getting exposure to emulated multi-device topologies is genuinely useful prep for production work.
The course also includes quizzes, a cheat sheet, and code examples you can keep. Duration is self-paced, so there's no deadline pressure.
What Python knowledge do you need going in?
The course is tagged "Beginner" but that label is slightly misleading. You don't need networking certifications, but you should know basic Python — variables, loops, functions, importing modules. If you've never written a Python script before, spend a weekend on the official Python tutorial first. You'll get far more out of this course with even a little foundation.
What it doesn't cover
This is where some students hit a wall. The course focuses on scripts, not frameworks. If you're hoping to learn Ansible, Napalm, Netmiko, or RESTCONF — those aren't here. You'll also find limited coverage of modern CI/CD practices for network automation or async networking with asyncio. Think of it as the "getting your hands dirty" phase before you move to production-grade tooling.
Is Build 10 Network Applications Python Worth Your Time?
Short answer: yes, for a specific type of learner. Here's how to think about it:
The free price changes the calculus entirely
At $0, the value-per-hour calculation is impossible to argue with. If you finish even four of the ten projects and understand the socket programming concepts underneath them, you've walked away with something real. The course doesn't need to be perfect to be worthwhile at this price point.
The 4.8/5 rating reflects genuine quality
A 4.8 on Udemy with a meaningful number of reviews is hard to fake. Students consistently cite the hands-on approach and the emulator setup as standout features. Complaints are mostly about wanting more — more advanced libraries, more framework coverage — which is a sign the course leaves people hungry to learn more, not burned out on the topic.
Where it falls short for some learners
If you're an experienced developer looking to add network automation to an existing toolkit, the Python fundamentals woven through the course may feel slow. And if your goal is to pass a network automation certification (like Cisco's DevNet), you'll need supplementary resources — this course alone won't get you there.
Who Gets the Most Out of This Course
The learners who get the best return on this course tend to fit one of these profiles:
- Network engineers who know routing/switching but not programming. You understand what a port scanner does in theory. Now you'll build one. This is the fastest path from "I know networking" to "I can automate networking."
- Python developers who are new to networking. You're comfortable with Python but haven't dug into sockets, protocols, or low-level network communication. These ten projects are an efficient introduction.
- IT support and sysadmin roles looking to upskill. Scripted network diagnostics save hours of manual work. This course gives you reusable tools immediately.
- Students preparing for DevNet or network automation roles. Practical experience building with sockets and SSH libraries looks good on a portfolio and in interviews, even if you'll need to go deeper later.
If you're a complete Python beginner — someone who's never written a script — this course is probably your second step, not your first.
Top Courses to Pair With Your Python Networking Journey
Network automation skills don't exist in isolation. Once you've built those ten applications, here's where to go next:
Build AI Agents with OpenAI Tools (Coursera)
After you've mastered Python network scripting, adding AI-driven decision-making to your automation tools is the natural next step. This course teaches you to build agents that can reason, call APIs, and take actions — directly applicable to intelligent network monitoring scripts.
Master Symfony API Platform 4: Build REST APIs with Doctrine (Udemy)
If your network applications need to expose data over HTTP — dashboards, alerting endpoints, integration with other systems — learning REST API design gives your Python scripts a professional interface. The patterns here translate directly to Flask or FastAPI even if the language differs.
Build Your Portfolio Website with HTML and CSS (Coursera)
You've built ten network tools. Now show them off. A portfolio page that demos your projects with screenshots and GitHub links is often what converts a resume into an interview. This course gets you there fast, even with zero front-end experience.
FAQ
Is Build 10 Network Applications with Python actually free?
Yes — at the time of writing, the course is completely free on Udemy. No coupon required. Udemy occasionally moves free courses to paid, so if you're reading this later and the price has changed, check for a coupon or look for it during one of Udemy's frequent sales.
Do you need a networking background to take this course?
Not really, but it helps. The course assumes you understand basic concepts like IP addresses, ports, and the client-server model. If those terms are unfamiliar, spend an hour reading about TCP/IP basics first. It'll make the projects significantly more intuitive.
Is the certificate worth anything?
Udemy certificates of completion aren't industry credentials — no employer will hire you because of one. What's worth something is the portfolio you build: GitHub repos containing your ten working applications, with READMEs explaining what each one does and how to run it. That's what interviewers actually care about.
How long does it take to complete?
The course is self-paced. Most learners finish the video content in 8-12 hours, but actually completing all ten projects and experimenting with the code takes longer. Budget two to three weekends if you want to genuinely absorb it rather than just watch.
What Python libraries does the course use?
The course focuses on Python's standard library — primarily the socket, struct, threading, and subprocess modules. You'll also use paramiko for SSH interactions. These are solid fundamentals that underpin more advanced libraries like Netmiko and Scapy.
Is this course enough to get a network automation job?
Not by itself. Entry-level network automation roles typically want familiarity with Ansible or Terraform, version control (Git), and some experience with a real environment. This course is a strong starting point — it gives you working code and conceptual understanding — but you'll need to supplement with framework-focused content and hands-on practice in a home lab or cloud environment.
Bottom Line
The Build 10 Network Applications with Python course is worth taking if you're a network engineer who wants to start scripting, or a Python developer who wants to understand how network communication actually works at the socket level. It's project-based, uses real emulation environments, and costs nothing.
Its limits are clear: this isn't a path to Ansible or DevNet certification on its own. It doesn't cover modern async networking patterns or production-grade automation frameworks. But as a foundation — a way to stop reading about sockets and start writing code that actually uses them — it delivers exactly what it promises.
Enroll, build all ten projects, push them to GitHub, and use this as the jumping-off point for deeper automation work. At free, there's no rational argument against it for anyone even mildly interested in network programming.