DataCamp

Introduction to DevOps

Engineering and Technology

Short Description

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Long Description

Gain a comprehensive understanding of DevOps and its impact on software development productivity and collaboration. This course provides an introduction to DevOps, simplifying the complexities of modern software development environments and empowering you to take control. Through this course, you will receive a thorough overview of software development and learn the fundamental concepts behind DevOps, which you can then apply to real-life scenarios. Additionally, you will delve into the distinctions between DevOps, DataOps, and MLOps, while also exploring basic project management methodologies and software architecture concepts. Once you have established a solid foundation in these areas, you will progress to exploring key software infrastructure concepts, such as continuous integration and continuous delivery. Furthermore, you will familiarize yourself with essential DevOps tools and discover strategies for ensuring data quality and security. Upon completion of this introductory DevOps course, you will possess the knowledge necessary to enhance the quality of outputs and boost team productivity in nearly any software development project. Begin your journey into modern software development and immediately apply what you learn from day one.

Course Details

Duration
4 hours
Format
Short Course
Price
USD39.00
Course Link
More Information
DataCamp
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.