livelessons – AWS Certified DevOps Engineer – Professional

AWS 认证开发人员完整视频课程侧重于 AWS 认证开发运营工程师 – 专业考试。作为云计算市场份额的领导者，亚马逊及其 DevOps Professional 认证可让您证明您已经掌握了实施云的基本技能。

涵盖七个主要类别： AWS 认证开发运营工程师概述；SDLC自动化；配置管理和基础设施即代码；监控和记录；政策和标准自动化；事件和事件响应；和高可用性、容错和灾难恢复。该材料侧重于教授通过考试和成为 AWS 开发运营从业者所需的概念。

MP4 | Video: AVC 1280 x 720 | Audio: AAC 48 Khz 2ch | Duration: 03:21:57 | 6.12 GB
Genre: eLearning | Language: English

Nearly 4 Hours of Video Instruction

Cloud adoption is greater than ever. However, there is a shortage of skilled practitioners who not only can use the cloud, but can optimize it. DevOps is a catchall word for a series of behaviors that can dramatically increase the operational efficiency of the cloud. DevOps best practices include continuous integration, continuous delivery, Microservices, teamwork and collaboration, and monitoring.

This course covers the essentials of DevOps Professional on AWS and prepares a candidate to sit for the DevOps Professional Certification exam.

Description

The AWS Certified Developer Complete Video Course focuses on the AWS Certified DevOps Engineer – Professional Exam. The leader in cloud computing by market share, Amazon and their DevOps Professional certification allows you to demonstrate that you have mastered the essential skills of operationalizing a cloud.

Seven main categories are covered: AWS Certified DevOps Engineer Overview; SDLC Automation; Configuration Management and Infrastructure as Code; Monitoring and Logging; Policies and Standards Automation; Incident and Event Response; and High Availability, Fault Tolerance, and Disaster Recovery. The material focuses on teaching the concepts necessary to pass the exam and be competent as a DevOps practitioner on AWS.

About the Instructor

Noah Gift is a lecturer at UC Davis Graduate School of Management MSBA program, the Graduate Data Science program, MSDS, at Northwestern, the Data Science program at UC Berkeley, and the USF Health Informatics program. He is teaching and designing graduate Machine Learning, AI, Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students.

Noah has published nearly 100 technical publications, including books on subjects ranging from Cloud Machine Learning to DevOps. He has published more than100 technical publications, including three books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, a M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo. Currently, he consults startups and other companies on Machine Learning, Cloud Architecture and CTO-level consulting as the founder of Pragmatic AI Labs. His most recent book is Pragmatic AI: An Introduction to Cloud-Based Machine Learning(Pearson, 2018).

Skill Level
Intermediate

What You Will Learn
Perform DevOps tasks on AWS
Use SDLC automation to solve DevOps problems on AWS
Perform Monitoring tasks on the AWS platform
Use IaC (Infrastructure as Code) to deploy new environments
Optimize your score on the AWS DevOps Certification exam for the best outcome

Who Should Take This Course
DevOps Engineer who wants to understand how to operationalize Cloud workloads
Software Engineer who wants to ensure they have a mastery of DevOps terminology and practices on AWS
Machine Learning or Data Engineer who wants to solidify their knowledge on AWS DevOps practices
Product Manager who needs to understand the AWS DevOps lifecycle
Those new to DevOps and want to challenge themselves to obtain these skills in the cloud

Course Requirements

Prerequisites:
Experience developing code in at least one high-level programming language
Experience building highly automated infrastructures
Experience administering operating systems
Understanding of modern development and operations processes and methodologies