Cloud Computing for Managers with AWS Cloud

Name: Cloud Computing for Managers with AWS Cloud
Rating: 4.7 (23 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

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
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
Buckets And Folders1:12
Demo and practice activity: S3 Create Bucket and upload files4:13
Data in the Bucket0:30
Compression and Encryption1:48
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
S3 Best Practices1:43
Things to Remember1:02
Test Your S3 Knowledge

Introduction1:05
What is serverless computing?1:45
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
Demo & Practice: SNS (Simple Notification Service)7:10
Amazon SQS2:15
Amazon SQS Continued0:49
Event Driven Systems2:50
Amazon Event Bridge1:57
AWS Lambda2:07
Dynamo DB2:46
Dynamo DB Continued1:07
Demo and Practice Excercises: Dynamo DB9:39
Amazon Redshift1:03
Redshift Spectrum1:58
Schema Conversion Tool(SCT)1:09
Redshift Serverless5:02
Redshift Serverless Costing2:26
Demo and Practice: Redshift Serverless using $300 credit16:29
Amazon EMR1:51
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
Things to Remember1:19
Test your knowledge of AWS Serverless Services

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
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: