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Cloud Computing Careers and Certifications: First Steps


From the course: Cloud Computing Careers and Certifications: First Steps

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  • Course details

    Do you want to start a career in cloud computing, but don't know where to begin? If so, this course can help by providing an ideal foundational mapping of the career paths and certifications that IT professionals should consider if they're interested in transitioning to cloud computing. Instructor and cloud architect Lynn Langit covers a variety of career paths, including IT pro, developer, analyst, and architect roles. Throughout the course, she focuses on the major cloud platforms—AWS, Microsoft Azure, Google, and Alibaba—discusses certifications available for each, and explores the future of cloud computing careers.


    • Click here to view Lynn Langit’s instructor page

      Lynn Langit

      CEO Lynn Langit Consulting LLC

      Lynn Langit is a cloud architect who works with Amazon Web Services and Google Cloud Platform.

      Lynn specializes in big data projects. She has worked with AWS Athena, Aurora, Redshift, Kinesis, and the IoT. She has also done production work with Databricks for Apache Spark and Google Cloud Dataproc, Bigtable, BigQuery, and Cloud Spanner.

      Lynn is also the cofounder of Teaching Kids Programming. She has spoken on data and cloud technologies in North and South America, Europe, Africa, Asia, and Australia.

    Skills covered in this course

  • Moving towards the cloud

    - [Instructor] Another type of set of skills in the IT Pro Operations category is that of monitoring, and it might sound a little bit mundane. I mean who does like to read log files? Well, I do, and the reason for that is as more and more of the services that you are going to work with on the cloud have a higher level of abstraction, you have less and less access where you can simply SSH or connect to a virtual server for example as admin, and an example of this is the movement toward serverless compute. Implemented in vendor clouds, in technologies such as AWS Lambda, in these environments the ability to interpret logs, whether they're from production systems and that's called observability or the ability to work side-by-side with your developers during the phase where the applications are being developed, and setup metrics around load testing and other types of testing is really critical to the application running correctly. Now some companies I work with have a formal set of…

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