Free Download [AWS Projets ]- 7 AWS Projects to Supercharge Your Portfolio
Published 11/2023
Created by AI Sciences,AI Sciences Team
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 40 Lectures ( 3h 18m ) | Size: 1.84 GB
[AWS Projets ]- Accelerate Your Amazon Web Services (AWS) Mastery: Dive into Hands-On Projects for Cloud Expertise!
What you'll learn
Hands-on Experience with AWS Services
Practical Skills in Building Real-World AWS Projects
Insights into Cloud-Based Data Processing and Analysis
Working with programming language on aws cloud
Requirements
Basic AWS is required that you can get from out "AWS Fundamentals course"
Description
Course Description:Welcome to the "Top 7 Projects for Beginners," an immersive series of projects meticulously designed to provide you with invaluable hands-on experience and expertise in AWS cloud services. This course is tailored to be an ideal launchpad for beginners keen on delving into the dynamic realm of cloud computing and AWS.Project 1: File Upload Notification System In this inaugural project, you will construct a sophisticated system that monitors an S3 bucket for newly uploaded files. It seamlessly triggers a Lambda function to process these files, sends out notifications using SNS, and diligently stores essential metadata in an SQS queue for subsequent processing.Key Focus Areas: a. S3 Event Trigger b. Lambda c. SQS d. SNS e. Integration of S3 with other servicesProject 2: Serverless Data Analysis Platform Project 2 revolves around crafting a cutting-edge serverless data analysis platform. It empowers Lambda functions to access and analyze data from both a public RDS database and a private RDS database, with the results elegantly stored in an S3 bucket.Key Components: a. RDS b. Lambda c. S3 d. VPC and subnetsProject 3: Sales Analytics Dashboard for Global Energy Industry In the third project, you will embark on the journey of developing a comprehensive dashboard using Amazon QuickSight, which will provide invaluable insights into sales based on various attributes.Key Component: a. QuickSightProject 4: Data Ingestion and Extraction Pipeline for Redshift Project 4 is all about constructing a robust data pipeline that facilitates seamless data loading from Amazon S3 into Amazon Redshift. This pipeline boasts the ability to handle both compressed and uncompressed files, unload encrypted data files from Redshift back to S3, and offers the flexibility to unload data in delimited or fixed-width formats as needed.Key Components: a. S3 b. RedshiftProject 5: Conditional Workflow State Machine The fifth project involves the creation of an AWS Step Functions state machine that not only performs basic arithmetic but also orchestrates intricate conditional workflows based on the outcome. It's a deep dive into building conditional workflows using AWS Step Functions.Key Components: a. Step Function b. LambdaProject 6: Real-time IoT Data Ingestion and Analysis with AWS Kinesis and IoT Core Project 6 offers an end-to-end exploration of real-time IoT data ingestion utilizing AWS Kinesis and AWS IoT Core. You will configure IoT devices, stream data to AWS, and archive this data in an S3 bucket.Key Components: a. IoT Core b. Kinesis Firehose c. S3 d. LambdaProject 7: Seamless On-Premises to AWS RDS Database Migration with AWS DMS The final project is centered around the seamless migration of an on-premises database to an AWS Relational Database Service (RDS) instance, all orchestrated by the AWS Database Migration Service (DMS). This migration promises improved data management, scalability, and availability while prioritizing data integrity and minimizing business disruptions.Key Components: a. RDS b. DMS c. EC2 d. SSMSWho Should Enroll:Aspiring Cloud EnthusiastsDevelopers Exploring AWSBusiness Professionals Interested in Cloud TechnologyPrerequisites:No prior experience with AWS is mandatory, although a basic understanding of programming concepts will be advantageous.What You'll Gain:Hands-on Experience with AWS ServicesPractical Skills in Building Real-World AWS ProjectsInsights into Cloud-Based Data Processing and AnalysisEmbark on this enriching journey to explore AWS through hands-on projects, and equip yourself with the knowledge and skills needed to embark on your cloud computing adventure!
Who this course is for
Aspiring Cloud Enthusiasts
Developers Exploring AWS
Business Professionals Interested in Cloud Technology
Students Pursuing Tech Careers
Tech Enthusiasts and Hobbyists
Career Changers
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