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Cloud Computing Careers and Certifications: First Steps

Programming languages

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.

    Instructor

    • 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

    For each course you will get

    • Exercise files and quizzes
    • Certificate of completion from LinkedIn
    • Offline and audio-only options
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  • Moving towards the cloud

    - [Instructor] A common question that I'm asked when students are trying to prepare for working with cloud skills is which programming language should I learn? And what I've done is I've grouped programming languages by task here. You can see on the left I have application programming and on the right I have configuration. Personally I do the majority of my professional work in Python these days. I've done some projects with JavaScript, with Node, and I've also done some work recently with Go but there are a number of languages such as Java or C Sharp which I see out there used frequently. The second bullet addresses data programming and in data programming the most important language to know is good old antsie SQL now in addition to SQL, more and more of the vendors are adding extensions to SQL and a recent example of this SQL ML that Google has added to their big query SQL as a service project which allows you to write SQL code to create certain types of machine learning models. Its…

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