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Over 50% of all corporate data is stored in the cloud. As cloud computing becomes more and more ubiquitous, mastering at least one cloud platform is now crucial for data practitioners. In this course, you’ll get to grips with AWS—the market-leading cloud provider. You’ll also learn about its main core services, best practices to design AWS applications, and the benefits of using AWS for businesses.
This course is a great starting point to prepare you for the AWS Cloud Practitioner Certification.
Introduction to AWSFree
You have decided to learn more about the AWS cloud platform. Congratulations! Throughout this chapter, you will discover why AWS is a great set of tools for developers and data practitioners. You will expand your knowledge regarding the cloud provider, its history, and key figures demonstrating the platform's success.Why learn about AWS as a data practitioner?50 xpThe benefits of Cloud Computing for data practitioners100 xpWhy choose AWS as a cloud provider?100 xpAWS cloud offer and history50 xpAWS characteristics100 xpAWS history100 xpGetting started with AWS50 xpLow-level vs. high-level access means100 xpAccess methods vs. use cases100 xp
AWS value proposition and economics
So far, you have discovered some of the benefits of AWS compared to on-premises configurations. This chapter will walk you through a deep dive into the AWS value proposition and economics. AWS has designed a dedicated framework called the AWS cloud value framework, articulated around four pillars, to make it easier to convey and grasp its value proposition. Each lesson of this chapter is dedicated to one of those pillars.Total cost of ownership (TCO)50 xpCost categories100 xpAWS cloud value framework and TCO100 xpStaff productivity50 xpStaff areas of focus100 xpStaff productivity measuring and improving100 xpOperational resilience50 xpOperational resilience domains100 xpOperational resilience measuring and improving100 xpBusiness agility50 xpBusiness agility characteristics100 xpBusiness agility measuring and improving100 xpConvince MeetFoodies to migrate to AWS100 xp
Overview of AWS core services
Throughout this chapter, you will discover how AWS works on a more technical level. First, you will get a broad overview of AWS services, then you will focus on some of the core services covering compute, storage, database, networking, content delivery, management, security, and identity.AWS categories and compute services50 xpThe benefits of compute services100 xpHelp MeetFoodies use AWS compute services100 xpStorage and database50 xpThe benefits of storage and database services100 xpHelp MeetFoodies use AWS storage and database services100 xpNetworking and content delivery50 xpThe benefits of networking and content delivery services100 xpHelp MeetFoodies use AWS networking and content delivery services100 xpManagement, security and identity50 xpThe benefits of management, security and identity services100 xpHelp MeetFoodies use AWS management, security and identity services100 xpHelp MeetFoodies choose the right AWS services100 xp
The Well-Architected Framework
The AWS Well-Architected Framework provides a set of best practices to maximize the value of AWS. It is composed of five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. This chapter will help you grasp the underlying best practices of each pillar.What is the Well-Architected Framework and why does it matter?50 xpThe AWS Well-Architected Framework100 xpHelp MeetFoodies define the AWS Well-Architected Framework pillars100 xpOperational excellence50 xpOperational excellence best practices100 xpMeetFoodies and operational excellence100 xpSecurity and reliability50 xpSecurity and reliability best practices100 xpMeetFoodies, security and reliability100 xpPerformance efficiency and cost optimization50 xpPerformance efficiency and cost optimization best practices100 xpMeetFoodies, performace efficiency and cost optimization100 xpHelp MeetFoodies audit their AWS architecture100 xpWrap-up50 xp
Hatim Khouzaimi is a Senior Data Scientist holding a PhD in Machine Learning.
Hatim Khouzaimi is a Senior Data Scientist that holds a PhD in Machine Learning. He specializes in conversational agents but he also applied his knowledge to the financial industry as he worked as a High Frequency Trader at a major French bank. He is also an entrepreneur, co-founding a startup that helped companies harness the power of conversational agents (chatbots and voicebots). During this experience, he became an expert in AWS and built the solution of the company solely on this cloud. Today, he is a Machine Learning and Cloud Computing instructor.
What do other learners have to say?
I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.
Devon Edwards Joseph
Lloyds Banking Group
DataCamp is the top resource I recommend for learning data science.
Harvard Business School
DataCamp is by far my favorite website to learn from.
Decision Science Analytics, USAA