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.
CEO Lynn Langit Consulting LLCLynn 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
Moving towards the cloud“
- [Instructor] I always like to say the cloud moves, and it moves fast. So let me give you a view into what I see coming in the future that'll help you be ready in your career. So on these four pillars, you're going to want to always pay attention to emerging technologies, 'cause that's going to lead you to career options. I'm going to emphasize the importance of cost management, because this is an area kind of like security, but I think even greater, that is just a goldmine of opportunity for you to differentiate yourself and make yourself more valuable in your cloud career. I'm going to talk about professional development and talk about communities. So as of this recording, the future technologies that I see that there is just incredible demand and not enough supply for cloud professionals are around these four areas, building data lakes, both relational and Spark computation on top of them. Internet of Things, cloud-controlled IoT, usually mobile device applications. API programming, sometimes called server lists, or functions as a service. So Amazon Lambda is the market leader here. But all the players now have multiple offerings that are called server lists for both compute and data, Google Big Query is another example of this. And the hottest of hot is machine learning. So machine learning, particularly with deep neural networks. So now I'm going to map these emerging technologies to career paths. For Internet of Things, careers are Cloud DevOps, you have to secure all the devices and make sure they're up and running, and Cloud Security Expert. For API and data lake, it's Cloud Application Developer and Cloud Data Pipeline Developer. For machine learning, it's Cloud Data Scientists, or more commonly now, Cloud Machine Learning Developer. For patterns and distributed systems, this isn't really emerging, it's just that more and more the systems I'm building are more complex because they're using micro services architectures, it's Cloud Architect.
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