- Build Automation
- scripting
- Devops
- Python Programming
- Computer Programming
- Data Type
- For Loop
- Control Flow
- Programming Tool
- Software Engineering
- Data Structure
- inheritance (object-oriented programming)
Python Scripting for DevOps 특화 과정
Learn to develop and deploy software using Python. This specialization will provide you with foundation in the fundamentals of programming, including knowledge and skills essential for a career in software engineering, information technology and data science.
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배울 내용
Develop computer programs that utilize classes and objects to solve business and mathematical problems
Develop computer programs that utilize classes and objects to solve business and mathematical problems
귀하가 습득할 기술
이 전문 분야 정보
응용 학습 프로젝트
In the Python Scripting for DevOps Specialization, the hands-on labs in each course will allow you to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson. These labs are browser-based and do not require a local environment to be installed.
This specialization is for anyone interested in learning more about computer programming.
This specialization is for anyone interested in learning more about computer programming.
특화 과정 이용 방법
강좌 수강
Coursera 특화 과정은 한 가지 기술을 완벽하게 습득하는 데 도움이 되는 일련의 강좌입니다. 시작하려면 특화 과정에 직접 등록하거나 강좌를 둘러보고 원하는 강좌를 선택하세요. 특화 과정에 속하는 강좌에 등록하면 해당 특화 과정 전체에 자동으로 등록됩니다. 단 하나의 강좌만 수료할 수도 있으며, 학습을 일시 중지하거나 언제든 구독을 종료할 수 있습니다. 학습자 대시보드를 방문하여 강좌 등록 상태와 진도를 추적해 보세요.
실습 프로젝트
모든 특화 과정에는 실습 프로젝트가 포함되어 있습니다. 특화 과정을 완료하고 수료증을 받으려면 프로젝트를 성공적으로 마쳐야 합니다. 특화 과정에 별도의 실습 프로젝트 강좌가 포함되어 있는 경우, 다른 모든 강좌를 완료해야 프로젝트 강좌를 시작할 수 있습니다.
수료증 취득
모든 강좌를 마치고 실습 프로젝트를 완료하면 취업할 때나 전문가 네트워크에 진입할 때 제시할 수 있는 수료증을 취득할 수 있습니다.

이 전문 분야에는 4개의 강좌가 있습니다.
Introduction to Python Scripting for DevOps
This course is the first course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the five main concepts in procedural programming: user input, console output, variable declaration and assignment, decision branching and iteration. Labs will allow you to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
Python Scripting: Dates, Classes and Collections
This course is the second course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the four main concepts in programming: Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
Python Scripting: Files, Inheritance, and Databases
This course is the third course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the three main concepts in programming: Files, Inheritance and external libaries. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
DevOps and Build Automation with Python
This course is the final course in a series that aims to prepare you for a role working as a programmer. In this course we will look at several automation concepts in DevOps with Python. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
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LearnQuest
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
자주 묻는 질문
환불 규정은 어떻게 되나요?
하나의 강좌에만 등록할 수 있나요?
재정 지원을 받을 수 있나요?
해당 강좌를 무료로 수강할 수 있나요?
이 강좌는 100% 온라인으로 진행되나요? 직접 참석해야 하는 수업이 있나요?
전문 분야를 완료하는 데 얼마나 걸리나요?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
전문 분야를 완료하면 대학 학점을 받을 수 있나요?
What will I be able to do upon completing the Specialization?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.