Python Programming For Network Engineers
Control Routers like a god with Python

What you will learn
Program using all the fundamentals of Python as needed for Network Engineers.
Use For Loops, Conditionals different data types to create code for Network Automation
Why take this course?
🌟 Python Programming for Network Engineers: Control Routers like a God with Python! 🌟
Course Overview:
Are you ready to elevate your networking skills using the power of Python? Whether you're a beginner programmer or a network engineer looking to automate and streamline your tasks, this course is your golden ticket! Taught by Andrew Schlegel, a seasoned University instructor and Industry professional with 20 years of engineering experience, this course is tailored specifically for Network Engineers. It's an opportunity to learn the essential Python fundamentals that directly apply to network programming in a clear, concise, and hands-on manner.
Why This Course?
- Tailored Content: This course is designed with networking knowledge in mind, ensuring that the Python programming concepts you'll learn are relevant and applicable to your field.
- Beginner-Friendly: Although challenging, this course is crafted for beginning programmers with a foundational understanding of networking principles.
- Expert Instruction: Learn from Andrew Schlegel, who has been teaching network engineering and programming at the University level, and brings real-world experience to his teaching methodology.
What You'll Gain:
- Non Network Engineer: Acquire basic Python programming skills and learn how to interact with networking equipment like Routers and Switches.
- Network Engineer: Expand your CCNA skills by learning advanced techniques to automate network tasks, configurations, and troubleshooting using Python.
Course Highlights:
- Hands-On Experience: Engage with 3 major programming projects that will solidify your understanding of Python in a networking context.
- Python Simplified: Learn only the Python fundamentals necessary for network programming, avoiding unnecessary complexity and ensuring you stay focused on what's important.
- Exclusive Resources: Benefit from exclusive materials provided by Andrew Schlegel, including guides to connect Python with GNS3, a powerful open-source network simulation tool.
Course Features:
- Focused Learning: This course emphasizes Python fundamentals as they relate to Network Engineering, ensuring efficient and targeted learning.
- Stay Ahead of the Curve: With new course material being added and updated regularly, you'll always have access to cutting-edge information in this rapidly evolving field.
- Free Software: No additional costs for software; all you need is provided, including GNS3, which allows you to control routers with Python on your own virtual network!
Success Stories:
- Andrew's students in Seattle have consistently landed top IT positions at major companies like Cisco, Microsoft, Costco, and College IT departments, proving the effectiveness of his teachings.
Join Us Now!
Don't miss this opportunity to join a course that offers unparalleled value and is designed to take your network engineering skills to the next level. With Python, you'll control routers like a god, making complex tasks seem simple. Enroll today and start your journey towards becoming a networking expert with the power of Python at your fingertips! 🚀
Note: As this course is new, Andrew is committed to working out any issues over the next few weeks and continuously improving the material to ensure the best learning experience possible. Don't wait to start mastering Python for network engineering—your future self will thank you! 📚✨
Screenshots




Our review
👩🏫 Overview of Course Rating and Feedback:
Global Rating: 4.05/5
Based on the recent reviews, the course has received a high level of satisfaction from learners, with most finding it informative and beneficial for their professional development. The average rating indicates a strong recommendation from the student community.
Pros:
-
Content Quality: Most reviewers found the content to be well-explained with clear examples and practical applications, especially for those who already had some background in networking and Python programming.
-
Learning Outcomes: Many students appreciated the ability to understand the material and apply it to their work as network engineers. The course was commended for its potential to give a "big picture" of what Python can do for networking tasks.
-
Instructor's Approach: The instructor received praise for his explanation style, with several students highlighting the clarity and effectiveness of his teaching methods. Some even pointed out extra support provided by the instructor, such as remote demos and extended help sessions.
-
Real-World Application: A significant number of reviews mentioned the course's relevance to real-world scenarios faced by network engineers, with some students reporting immediate benefits in their professional roles after applying what they learned.
-
Engagement and Interaction: The interactive elements like quizzes and hands-on projects were well-received as tools that helped reinforce understanding.
-
Personal Growth: Some learners reported that the course not only improved their Python skills but also provided insights into best practices in automation and network engineering.
Cons:
-
Content Relevance: A few students expressed disappointment that the course did not meet their expectations for advanced or specific networking applications of Python, particularly in areas such as SNMP, SSH, and more complex automation tasks.
-
Pacing and Presentation: Some learners felt that certain sections started off too basic or moved slowly, which could potentially be improved for a more efficient learning experience.
-
Knowledge Check Tests: A reviewer pointed out that the knowledge check tests were not always aligned with the course content covered at that point in the curriculum, suggesting that these assessments might not accurately reflect the learner's understanding of the material.
-
Course Flow and Structure: Some feedback indicated that the flow of the course could be improved to enhance the learning experience by addressing potential issues upfront and streamlining the knowledge transfer process.
Updates and Additional Insights:
-
Remote Demonstrations: At least one instructor went above and beyond by providing remote assistance, which was highly appreciated by the student who benefited from this personalized support.
-
Career Advancement: A few learners reported that the skills acquired from the course directly contributed to their professional success, including passing certification exams and successfully managing network upgrades.
Conclusion: Overall, the course is well-regarded among learners, with many finding it valuable for enhancing their Python skills in a networking context. However, there is room for improvement in ensuring that the content aligns with the expectations of advanced network engineers looking to leverage Python in their work.