May 1, 2024
Updated May 11, 2025
22 minute read
Automation describes a wide range of technologies designed to reduce human intervention in processes. This is primarily achieved by predetermining decision criteria, establishing relationships between subprocesses, and defining related actions, then embedding these predetermined elements into machines and systems. In essence, automation involves the application of machines, software, and other technologies to perform tasks that were once done by humans, or to accomplish tasks that would be impossible for humans to do. The core idea is to enable systems to operate with minimal or no human input, often relying on programmed commands and automatic feedback control to ensure instructions are executed correctly.
Working in the field of automation can be incredibly engaging. Imagine designing systems that significantly improve efficiency and precision in manufacturing, or developing algorithms that power self-driving cars and smart home devices. The ability to see your creations directly impact how industries operate or how people live their daily lives is a powerful motivator. Furthermore, the interdisciplinary nature of automation, often blending robotics, artificial intelligence, and software development, means there's always something new to learn and apply.
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Find a path to becoming a Automation. Learn more at:
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Reading list
We've selected nine books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Automation.
This comprehensive handbook covers the entire field of robotics and automation, from the basics to the latest developments. It is an essential resource for anyone who wants to learn about this rapidly growing field.
Explores the impact of automation on the economy and society. It thought-provoking read for anyone who is interested in the future of work.
Teaches you how to use deep learning to automate tasks in a variety of domains, such as computer vision, natural language processing, and speech recognition.
Provides a comprehensive overview of automated machine learning, including its methods, algorithms, and applications.
Teaches you how to use Python to automate tasks in a variety of domains, such as web scraping, data analysis, and software testing.
Provides a gentle introduction to machine learning, including its concepts, algorithms, and applications. It great resource for anyone who wants to learn more about this field.
Teaches you how to use Scikit-Learn, Keras, and TensorFlow to build and train machine learning models.
Provides a comprehensive overview of reinforcement learning, including its theory, algorithms, and applications.
Provides a comprehensive overview of robotics, including its modelling, planning, and control. It valuable resource for anyone who wants to learn more about this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/360g9x/automatio