Description
AWS Projects Course – 7 AWS Projects to Optimize Your Portfolio Welcome to Top 7 Projects for Beginners, a comprehensive collection of projects carefully curated to give you valuable hands-on experience and expertise on AWS cloud services. This course is designed to be an ideal starting point for beginners who want to explore the dynamic field of cloud computing and AWS.
Project 1: File Upload Notification System In this introductory project, you will build a complex system that monitors an S3 bucket for newly uploaded files. It seamlessly starts a Lambda function to process these files, sends notifications via SNS, and stores the necessary metadata in an SQS queue for further processing.
Project 2: Serverless Data Analytics Platform Project 2 is about building an advanced serverless data analytics platform. It enables Lambda functions to access and analyze data from a public RDS database and a private RDS database, with the results neatly stored in an S3 bucket.
Project 3: Sales Analytics Dashboard for the Global Energy Industry In the third project, you will begin developing a comprehensive dashboard using Amazon QuickSight that provides valuable insights into sales based on various attributes.
Project 4: Data Migration and Extraction Pipeline for Redshift Project 4 is about building a robust data pipeline that enables seamless loading of data from Amazon S3 into Amazon Redshift. This pipeline can handle both compressed and uncompressed files, upload encrypted data files from Redshift to S3, and provides the flexibility to output data in delimited or fixed-width formats as needed.
Project 5: Conditional Workflow State Machine The fifth project involves building an AWS Stage Function state machine that not only performs basic calculations but also coordinates complex conditional workflows based on the result. This is a deep dive into building conditional workflows using AWS Stage Functions.
Project 6: Real-time IoT data collection and analysis using AWS Kinesis and IoT Core. Project 6 provides a comprehensive investigation of real-time IoT data consumption using AWS Kinesis and AWS IoT Core. You configure IoT devices, stream data to AWS, and archive that data in an S3 bucket.
What you will learn in the AWS Projects – 7 AWS Projects to Supercharge Your Portfolio course
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Practical experience with AWS services
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Practical skills in building real AWS projects
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Insights into cloud-based data processing and analysis
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Working with programming languages in the AWS Cloud
This course is suitable for people who
- Cloud enthusiasts
- Developers explore AWS
- Business people interested in cloud technology
- Students who want to pursue technical careers
- Technology and entertainment enthusiasts
- Job change
Course Details AWS Projects – 7 AWS Projects to Expand Your Portfolio
- Editor: Udemy
- Lecturer: AI Science
- Training level: beginner to advanced
- Training duration: 3 hours and 18 minutes
- Number of courses: 40
Course Topics AWS Projects – 7 AWS Projects to Optimize Your Portfolio
AWS Projects Course Prerequisites – 7 AWS Projects to Optimize Your Portfolio
- Basic AWS knowledge is required, which you can learn in our AWS Foundations course.
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