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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.
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
About Pearson Video Training
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
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).
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01 - AWS Certified DevOps Engineer - Professional - Introduction.mp4
11 MB
02 - Learning objectives.mp4
5.8 MB
03 - 1.1 Get an overview of the certification.mp4
29.6 MB
04 - 1.2 Use exam study resources.mp4
22 MB
05 - 1.3 Review the exam guide.mp4
23.6 MB
06 - 1.4 Learn the exam strategy.mp4
31.5 MB
07 - 1.5 Learn the best practices of DevOps on AWS.mp4
20.8 MB
08 - 1.6 Learn the techniques to accelerate hands-on practice.mp4
35.7 MB
09 - 1.7 Understand important DevOps-related services.mp4
35.8 MB
10 - Learning objectives.mp4
6.2 MB
11 - 2.1 Apply concepts required to automate a CI_CD pipeline.mp4
35.9 MB
12 - 2.2 Determine source control strategies and implement them.mp4
32 MB
13 - 2.3 Apply concepts required to automate and integrate testing.mp4
28.7 MB
14 - 2.4 Apply concepts required to build and manage artifacts securely.mp4
23.8 MB
15 - 2.5 Determine deployment...them using AWS Services.mp4
26.5 MB
16 - Learning objectives.mp4
21 MB
17 - 3.1 Determine deployment services based on deployment needs.mp4
23.5 MB
18 - 3.2 Determine application and.. based on business needs.mp4
24.9 MB
19 - 3.3 Apply security concepts in the automation of resource provisioning.mp4
32.3 MB
20 - 3.4 Implement lifecycle hooks on a deployment.mp4
23.9 MB
21 - 3.5 Apply concepts required to .. tools and service.mp4
30.3 MB
22 - Learning objectives.mp4
6.6 MB
23 - 4.1 Set up the aggregation, storage, and analysis of logs and metrics.mp4
32.5 MB
24 - 4.2 Apply concepts required to..management of an environment.mp4
49 MB
25 - 4.3 Apply concepts ..operating systems, infrastructures, and app.mp4
28.8 MB
26 - 4.4 Implement tagging and other metadata strategies.mp4
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