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Coursera - IBM Applied DevOps Engineering Professional Certificate - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Coursera - IBM Applied DevOps Engineering Professional Certificate (/Thread-Coursera-IBM-Applied-DevOps-Engineering-Professional-Certificate) |
Coursera - IBM Applied DevOps Engineering Professional Certificate - OneDDL - 01-10-2024 ![]() Free Download Coursera - IBM Applied DevOps Engineering Professional Certificate Last updated 1/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 241 Lessons ( 24h 46m ) | Size: 3.45 GB Advance your career to high demand field of DevOps. Build on your software development skills with the latest DevOps concepts, tools, and technologies to get job ready in less than 3 months. What you'll learn Write quality agile user stories, estimate and assign story points to them, and track stories using a kanban board on ZenHub Develop RESTful Python microservices, test with TDD methods, practice CI/CD, and deploy using serverless and container technologies like Kubernetes Develop and execute unit tests with test driven development (TDD) methods including coverage reports, factories, fakes, and mock objects Gain technical experience through hands on labs and projects and build a portfolio to demonstrate your job readiness Skills you'll gain Representational State Transfer (REST) Cloud Applications Openshift Microservices serverless Software Testing Test-Driven Development Behavior-Driven Development Test Case Automated Testing CI/CD agile Devops TDD/BDD Cloud Native Continuous Integration Continuous Development Infrastructure As Code Automation Observability Telemetry Monitoring logging Tracing Docker Kubernetes Containers Kanban Zenhub Scrum Methodology Agile Software Development Sprint Planning Open Web Application Security Project (OWASP) security Cloud Computing Gain the in-demand skills to advance from programming to DevOps engineering. In this program, you'll learn the latest DevOps practices, tools, and technologies from experts at IBM to get job-ready in less than 3 months. Almost every company is looking to become more Agile and shorten software development cycles, creating a high demand for DevOps Engineers! DevOps professionals are skilled in both software development and operations, and have a working knowledge of coding and infrastructure management. This program is ideal for existing software and IT professionals who want to level up their careers with modern development practices and skills. It requires knowledge of software engineering fundamentals, at least 1 programming language (preferably Python), Linux Commands and Scripts, and Git/Github. You'll master the latest DevOps practices, Agile methodologies, and Cloud Native technologies such as Scrum, Containers, Docker, Kubernetes, OpenShift, Microservices, REST, Serverless, Test Driven Development (TDD), Continuous Integration and Continuous Deployment (CI/CD), Application Security and Monitoring. You will practice hands-on with tools used by professionals, giving you job-ready experience. When you complete the program, you'll have a portfolio of projects to demonstrate your proficiency and a Professional Certificate from IBM. You'll also gain access to exclusive career support, resume building, job search and interview prep resources. Applied Learning Project Each course in this professional certificate includes hands-on labs and real-world projects to build your DevOps portfolio such as creating and executing an Agile plan using ZenHub building and deploying an application with Kubernetes and horizontal pod scaling developing a web application with microservices and deploying it on cloud using serverless a capstone project where you write a RESTful Flask microservice and automate its testing with the Python Nose package while practicing agile principles and deploy using Kubernetes/OpenShift and a Tekton CI/CD pipeline Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |