Cloud Computing for Managers with AWS Cloud

Name: Cloud Computing for Managers with AWS Cloud
Rating: 4.7 (24 reviews)

Store data on cloud saving costs, query data without servers, implement alerts, explore machine learning tools on AWS

Created byGanapathi Devappa

Last updated 10/2024

English

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What you'll learn

Enhanced with Generative AI practice using Amazon Bedrock
Clearly explains what and why of cloud computing for beginners
Create a free account on AWS
Explore storage of data on AWS cloud and reduce cost using Lifecycle Policies
Hands on processing of data without servers using serverless tools like Athena, Redshift serverless, Lambda functions
Practice Big Data processing with EMR Serverless
Practice event driven processing using event-bridge
INTERVIEW PREP: Prepare for AWS interviews with 50 questions and answers
EXAM PREP: Practice for AWS Certified Practitioner exam with 65 sample questions with answers

Course content

7 sections • 113 lectures • 5h 30m total length

Introduction2:28
Course Structure1:31
What is cloud computing?1:53
Discover how cloud computing delivers IT resources and services over the internet, distinguishing on-premise versus cloud, and how vendors provide storage, CPUs, memory, network, security, backups, and isolation.
Why Cloud?3:27
Disadvantages of Cloud1:05
Analysis Problem1:09
Demo: Query Data in Minutes10:44
Cloud Solution Highlights1:50
Create an AWS Account for FREE4:39
AWS Cloud Storage: S3 a Quick Overview1:52
Demo: S3 For Beginners10:02
Regions and Availability Zones1:40
Summary0:58
Activities

Introduction0:59
Enterprise Data Lake2:32
S3 Storage2:08
Explore how AWS S3 stores data on the internet, enabling unlimited, pay-as-you-go cloud storage accessible from anywhere while decoupling data from compute and enabling serverless processing with tools like Athena.
Buckets And Folders1:12
Explore how to structure data in s3 with buckets and folders, including unique bucket names, regional placement, cross-region replication, and object storage costs, featuring practical bucket demos.
Demo and practice activity: S3 Create Bucket and upload files4:13
Create an S3 bucket, add a Sales folder, upload a file, generate a presigned URL for access, and practice deleting objects to finish the S3 demo.
Data in the Bucket0:30
Compression and Encryption1:48
Compress data to cut storage costs, using Parquet or ORC before uploading to S3. Encrypt with 128/256 keys via AWS managed or CMEK, and safeguard keys.
Problems with Data : I overwrote/deleted a file2:10
Demo and Practice Activity: S3 versions6:20
Save S3 Costs with Storage Classes5:23
Archived Objects1:58
Outposts1:00
S3 Lifecycle1:15
Demo and Practice Activity: Save Costs on S315:17
Storage Formats5:32
Compare json, parquet, and orc storage formats to understand schema, compression, and predicate pushdown, and learn how csv's lack of schema affects data handling.
S3 Best Practices1:43
Enforce cloud storage discipline with organization-wide controls and regular audits to track S3 data and costs, and apply lifecycle policies that move aged data to cheaper storage or archive.
Things to Remember1:02
Test Your S3 Knowledge

Introduction1:05
Explore how serverless enables quick cloud adoption with AWS, using Athena, Glue, EventBridge, Lambda, DynamoDB, and Redshift serverless for big data processing.
What is serverless computing?1:45
Explore how serverless processing on AWS eliminates server provisioning. Scale automatically to petabytes of data, and pay only for data processed or run time.
AWS Athena2:05
Athena Datasources1:23
Athena SQL1:18
Unloading Data with Athena1:07
Partitioning Tables in Athena0:52
AWS Glue1:37
Glue Data Catalog0:38
Amazon SNS1:37
Amazon Simple Notification Service enables pub-sub messaging with publishers and subscribers via a named topic. It supports email, sms, and lambda integrations with a serverless, secure, durable, pay-as-you-go model.
Demo & Practice: SNS (Simple Notification Service)7:10
Amazon SQS2:15
Amazon SQS Continued0:49
Explore how Amazon SQS organizes messages into queues, with producers adding messages and consumers retrieving and deleting them. Understand message retention from four days up to fourteen days.
Event Driven Systems2:50
Amazon Event Bridge1:57
AWS Lambda2:07
Dynamo DB2:46
Discover DynamoDB, a real-time NoSQL document database with Json objects and a primary key, delivering subsecond latency and simple operations to create tables, put items, get items, and update items.
Dynamo DB Continued1:07
Explore how DynamoDB stores data as items in tables, with varying fields per item, unlike fixed relational columns, and queries like French cuisine or online orders.
Demo and Practice Excercises: Dynamo DB9:39
Amazon Redshift1:03
Redshift Spectrum1:58
Schema Conversion Tool(SCT)1:09
Redshift Serverless5:02
Learn Redshift serverless, paying only for storage and compute when queries run, with auto-scaling RPUs, zero-cost idle periods, and snapshot-based migration.
Redshift Serverless Costing2:26
Demo and Practice: Redshift Serverless using $300 credit16:29
Amazon EMR1:51
Move your in-house Hadoop and Spark workloads to the cloud with AWS EMR, spin up on-demand clusters, and pay only for use while running jobs on S3.
Amazon EMR Serverless1:48
Demo and practice: Amazon EMR Serverless17:56
AWS Step Functions2:08
Demo and Practice: AWS Event Bridge with Lambda Function16:54
Set up an event-driven processing pipeline by configuring S3 to publish events to AWS EventBridge and trigger a Lambda function, then monitor via CloudWatch logs.
Things to Remember1:19
Test your knowledge of AWS Serverless Services

Introduction1:51
Google SRE1:45
AWS Monitoring Tools0:57
Amazon Cloud Watch2:24
Service Level Indicators1:34
Service Level Objectives1:43
Balance cost and revenue risk by distinguishing availability from durability, note S3's 99.999% durability, set minimum availability levels, and design proactive alerts that require concrete corrective actions.
Service Level Agreements1:07
Cloud Logging0:47
AWS X-Ray Service0:51
Analyze and debug distributed applications with AWS X-Ray to troubleshoot errors and slow performance, using a step-by-step view of requests and checkpoints to identify root causes in development and production.
Cloud Monitoring Alerts2:12
Cloud Monitoring Alerts - continued0:59
Pricing0:43
Best Practices2:29
Demo & Practice: Alarms9:53
Things to Remember1:00
Explore monitoring essentials by using logs, metrics, log-based metrics, dashboards, notification channels, and cloudwatch alarms; apply four golden signals: latency, traffic, errors, and saturation.
Test your knowledge of Monitoring on AWS

Introduction0:54
Amazon EC21:29
Machine Learning Tools on AWS10:41
Containerized Applications0:49
Amazon Elastic Kubernetes Service1:17
AWS Cloud Shell0:52
Workspaces1:26
Terraform1:09
Master infrastructure as code with Terraform to deploy and maintain AWS resources like virtual machines, redshift clusters, S3 storage buckets, Glue jobs, and event flow topics.
Demo AWS Machine Learning Tool: Polly1:11
Demo: AWS Machine Learning Tool: Translate2:18
Demo: AWS Machine Learning Tool: Rekognition2:24
AWS Sagemaker: A Machine Learning Platform1:16
An Introduction to Sagemaker, a tool to build, train and deploy machine learning models
Amazon Bedrock : Generative AI on the Cloud2:06
With OpenAI, generative AI models have become popular and every organization wants to make use of them to increase their productive and profits. Amazon has introduce Bedrock as a one stop solution for Generative AI where you can choose from many AI Foundation Models
Amazon Bedrock: Features and Benefits1:35
Let us look at the features and benefits of Amazon Bedrock
Amazon Titan : Generative AI Models5:55
Amazon Titan encompasses a series of foundation models suitable for various use cases.
Amazon Bedrock demo 1: Selecting a model3:35
Before using a foundation model, you need to request access to the model on Amazon bedrock .
Amazon Bedrock demo2: Using Playground to test a prompt2:15
You can use Amazon Bedrock playground to test a prompt using any foundation model.
Amazon Bedrock demo3: Using Foundation Model API4:35
With a few lines of code, you can test an Amazon Foundation Model API, that too in the Cloud Shell itself.
Amazon Bedrock demo4: Setup IAM permissions for Bedrock2:07
You need to grant permissions to the user or role for accessing Bedrock functionality
Thing to Remember0:34
Test you knowledge of miscellaneous tools on AWS
Course Conclusion1:45
What Next?1:16

AWS Practitioner Practice Test with 65 Questions
AWS Interview Questions: 75 Questions with Answers
Some of you may be looking for getting a better job after practicing AWS cloud. Some of you may be thinking of recruiting people with AWS experience. These interview questions will prepare you for both. Answers are also provided. Like an interview, these are subjective questions and are not multiple-choice object questions. Also the answers are not book answers but conversational answers. All the best.

Requirements

No programming experience required.
Some experience with software projects sufficient

Description

By the time you are done with this course, you will know specific tools on AWS cloud platform that will meet your business case. You will practice various AWS tools for storing data, processing data and analyzing data, set up a secure cloud platform and implement the best cloud practices. You will learn about the business case for using cloud, using various serverless tools on AWS cloud like Athena, Glue, Lambda functions, Dynamo DB, Redshift Serverless, EMR Serverless etc. You will secure your systems using Identity and Access Management policies, monitor your system using Cloud Watch and setup alerts and notifications through Email, learn about event driven systems using Event Bridge, save costs on storing data using S3 lifecycle policies and look at various machine learning tools on AWS like Rekognition. This course is focused on using serverless and fully managed services on AWS not on renting machines on AWS Cloud. You will also setup up a free account on AWS cloud, practice many tools with practical demos, enjoy learning with the activities and quizzes. As a bonus, an AWS Practitioner sample test with 65 questions (with answers) and 50 AWS cloud interview questions are included. After this course, you will be able to talk to your developers, architects and higher ups about implementing cloud solutions in your organization.

Who this course is for:

Managers migrating their inhouse systems to cloud or those who have moved their systems to cloud including big data systems
Beginners who are learning about AWS cloud and cloud computing
Developers who are exploring AWS tools
Architects who are designing cloud based systems with AWS

Cloud Computing for Managers with AWS Cloud

What you'll learn

Explore related topics

Course content

Introduction13 lectures • 43min

Storage on AWS Cloud17 lectures • 55min

Serverless31 lectures • 1hr 54min

Security on the cloud14 lectures • 36min

Monitoring and Alerts15 lectures • 30min

Miscellaneous22 lectures • 51min

Extra Content1 lecture0

Requirements

Description

Who this course is for: