This course covers a wide range of essential topics, including networking fundamentals, System service management, and secure remote access via SSH. You'll gain proficiency in software package management using tools like apt, yum, and dnf, and learn to schedule tasks efficiently with cron and system timers. Dive into process management, understanding how to handle background jobs and manage process priorities. Additionally, explore Linux logging to effectively monitor and troubleshoot your systems. With hands-on labs and real-world scenarios, this course equips you with the practical skills and confidence needed to manage Linux environments efficiently.
In this module you'll learn about day to day Linux management tasks. That includes different topics. We'll start covering networking and the System manager of everything that runs on Linux. Next, you'll learn how to manage software on Linux. Then we'll have a look at SSH and time. Two pretty import…
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Pearson is in Tier 4: commercial training companies and platform-made courses of our institution ranking (60/100).
An introduction to cybersecurity for technical and non-technical audiences alike. Learn how to secure your accounts, data, systems, and software against today’s threats and how to recognize and evaluate tomorrow’s as well, both at home and at work. Learn how to preserve your own privacy. Learn to v…
Harvard University · edX
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Harvard University · edX
This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Harvard University · edX
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
