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Global Education Foundation

Some of the AWS demos will be provided from below AWS platforms...

AWS Compute Services

Here, are Cloud Compute Services offered by Amazon:

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Some of the AWS demos will be provided from below AWS platforms...

AWS Compute Services

Here, are Cloud Compute Services offered by Amazon:

  1. EC2(Elastic Compute Cloud) - EC2 is a virtual machine in the cloud on which you have OS level control. You can run this cloud server whenever you want.

  2. Light Sail-This cloud computing tool automatically deploys and manages the computer, storage, and networking capabilities required to run your applications.

  3. Elastic Beanstalk The tool offers automated deployment and provisioning of resources like a highly scalable production website.

  4. EKS (Elastic Container Service for Kubernetes) The tool allows you to Kubernetes on Amazon cloud environment without installation.

  5. AWS Lambda This AWS service allows you to run functions in the cloud. The tool is a big cost saver for you as you to pay only when your functions execute.

Migration

Migration services used to transfer data physically between your datacenter and AWS.

  1. DMS (Database Migration Service)-DMS service can be used to migrate on-site databases to AWS. It helps you to migrate from one type of database to another — for example, Oracle to MySQL.

  2. SMS (Server Migration Service)SMS migration services allows you to migrate on-site servers to AWS easily and quickly.

  3. Snowball Snowball is a small application which allows you to transfer terabytes of data inside and outside of AWS environment.

Storage

  1. Amazon Glacier- It is an extremely low-cost storage service. It offers secure and fast storage for data archiving and backup.

  2. Amazon Elastic Block Store (EBS)- It provides block-level storage to use with Amazon EC2 instances. Amazon Elastic Block Store volumes are network-attached and remain independent from the life of an instance.

  3. AWS Storage Gateway- This AWS service is connecting on-premises software applications with cloud-based storage. It offers secure integration between the company's on-premises and AWS's storage infrastructure.

Security Services

  1. IAM (Identity and Access Management) IAM is a secure cloud security service which helps you to manage users, assign policies, form groups to manage multiple users.

  2. Inspector It is an agent that you can install on your virtual machines, which reports any security vulnerabilities.

  3. Certificate Manager—The service offers free SSL certificates for your domains that are managed by Route53.

  4. WAF (Web Application Firewall)— WAF security service offers application-level protection and allows you to block SQL injection and helps you to block cross-site scripting attacks.

  5. Cloud Directory—This service allows you to create flexible, cloud-native directories for managing hierarchies of data along multiple dimensions.

  6. KMS (Key Management Service)—It is a managed service. This security service helps you to create and control the encryption keys which allows you to encrypt your data.

  7. Organizations—You can create groups of AWS accounts using this service to manages security and automation settings.

  8. Shield—Shield is managed DDoS (Distributed Denial of Service protection service). It offers safeguards against web applications running on AWS.

  9. Macie—It offers a data visibility security service which helps classify and protect your sensitive critical content.

  10. Guard Duty —It offers threat detection to protect your AWS accounts and workloads.

Database Services

  1. Amazon RDS- This Database AWS service is easy to set up, operate, and scale a relational database in the cloud.

  2. Amazon Dynamo DB- It is a fast, fully managed NoSQL database service. It is a simple service which allow cost-effective storage and retrieval of data. It also allows you to serve any level of request traffic.

  3. Amazon Elasti Cache- It is a web service which makes it easy to deploy, operate, and scale an in-memory cache in the cloud.

  4. Neptune- It is a fast, reliable and scalable graph database service.

  5. Amazon RedShift-It is Amazon's data warehousing solution which you can use to perform complex OLAP queries.

Analytics

  1. Athena—This analytics service allows perm SQL queries on your S3 bucket to find files.

  2. CloudSearch—You should use this AWS service to create a fully managed search engine for your website.

  3. ElasticSearch—It is similar to CloudSearch. However, it offers more features like application monitoring.

  4. Kinesis—This AWS analytics service helps you to stream and analyzing real-time data at massive scale.

  5. QuickSight —It is a business analytics tool. It helps you to create visualizations in a dashboard for data in Amazon Web Services. For example, S3, DynamoDB, etc.

  6. EMR (Elastic Map Reduce)—This AWS analytics service mainly used for big data processing like Spark, Splunk, Hadoop, etc.

  7. Data Pipeline—Allows you to move data from one place to another. For example from DynamoDB to S3.

Management Services

  1. Cloud Watch—Cloud watch helps you to monitor AWS environments like It also triggers alarms depends on various metrics.

  2. Cloud Formation—It is a way of turning infrastructure into the cloud. You can use templates for providing a whole production environment in minutes.

  3. Cloud Trail—It offers an easy method of auditing AWS resources. It helps you to log all changes.

  4. Ops Works—The service allows you to automated Chef/Puppet deployments on AWS environment.

  5. Config—This AWS service monitors your environment. The tool sends alerts about changes when you break certain defined configurations.

  6. Service Catalog—This service helps large enterprises to authorize which services user will be used and which won't.

  7. AWS Auto Scaling—The service allows you to automatically scale your resources up and down based on given Cloud Watch metrics.

  8. Systems Manager—This AWS service allows you to group your resources. It allows you to identify issues and act on them.

  9. Managed Services—It offers management of your AWS infrastructure which allows you to focus on your applications.

Internet of Things

  1. IoT Core— It is a managed cloud AWS service. The service allows connected devices?like cars, light bulbs, sensor grids, to securely interact with cloud applications and other devices.

  2. IoT Device Management—It allows you to manage your IoT devices at any scale.

  3. IoT Analytics—This AWS IOT service is helpful to perform analysis on data collected by your IoT devices.

  4. Amazon Free RTOS—This real-time operating system for microcontrollers helps you to connect IoT devices in the local server or into the cloud.

Application Services

  1. Step Functions—It is a way of visualizing what's going inside your application and what different micro services it is using.

  2. SWF (Simple Workflow Service)—The service helps you to coordinate both automated tasks and human-led tasks.

  3. SNS (Simple Notification Service)—You can use this service to send you notifications in the form of email and SMS based on given AWS services.

  4. SQS (Simple Queue Service)—Use this AWS service to decouple your applications. It is a pull-based service.

  5. Elastic Transcoder—This AWS service tool helps you to changes a video's format and resolution to support various devices like tablets, smartphones, and laptops of different resolutions.

Deployment and Management

  1. AWS Cloud Trail: The services records AWS API calls and send backlog files to you.

  2. Amazon Cloud Watch: The tools monitor AWS resources like Amazon EC2 and Amazon RDS DB Instances. It also allows you to monitor custom metrics created by user's applications and services.

  3. AWS Cloud HSM: This AWS service helps you meet corporate, regulatory, and contractual, compliance requirements for maintaining data security by using the Hardware Security Module(HSM) appliances inside the AWS environment.

Developer Tools

  1. Code Star—Code star is a cloud-based service for creating, managing, and working with various software development projects on AWS.

  2. Code Commit— It is AWS's version control service which allows you to store your code and other assets privately in the cloud.

  3. Code Build—This Amazon developer service help you to automates the process of building and compiling your code.

  4. Code Deploy—It is a way of deploying your code in EC2 instances automatically.

  5. CodePipeline—It helps you create a deployment pipeline like testing, building, testing, authentication, deployment on development and production environments.

  6. Cloud9 —It is an Integrated Development Environment for writing, running, and debugging code in the cloud.

Mobile Services

  1. Mobile Hub—Allows you to add, configure and design features for mobile apps.

  2. Cognito—Allows users to signup using his or her social identity.

  3. Device Farm—Device farm helps you to improve the quality of apps by quickly testing hundreds of mobile devices.

  4. AWS App Sync —It is a fully managed GraphQL service that offers real-time data synchronization and offline programming features.

Business Productivity

  1. Alexa for Business—It empowers your organization with voice, using Alexa. It will help you to Allows you to build custom voice skills for your organization.

  2. Chime—Can be used for online meeting and video conferencing.

  3. Work Docs—Helps to store documents in the cloud

  4. Work Mail—Allows you to send and receive business emails.

Desktop & App Streaming

  1. Work Spaces—Workspace is a VDI (Virtual Desktop Infrastructure). It allows you to use remote desktops in the cloud.

  2. App Stream —A way of streaming desktop applications to your users in the web browser. For example, using MS Word in Google Chrome.

Artificial Intelligence

  1. Lex—Lex tool helps you to build chatbots quickly.

  2. Polly— It is AWS's text-to-speech service allows you to create audio versions of your notes.

  3. Rekognition —It is AWS's face recognition service. This AWS service helps you to recognize faces and object in images and videos.

  4. Sage Maker—Sagemaker allows you to build, train, and deploy machine learning models at any scale.

  5. Transcribe— It is AWS's speech-to-text service that offers high-quality and affordable transcriptions.

  6. Translate—It is a very similar tool to Google Translate which allows you to translate text in one language to another.

AR & VR (Augmented Reality & Virtual Reality)

  1. Sumerian—Sumerian is a set of tool for offering high-quality virtual reality (VR) experiences on the web. The service allows you to create interactive 3D scenes and publish it as a website for users to access.

Customer Engagement

  1. Amazon Connect—Amazon Connect allows you to create your customer care center in the cloud.

  2. Pinpoint—Pinpoint helps you to understand your users and engage with them.

  3. SES (Simple Email Service)—Helps you to send bulk emails to your customers at a relatively cost-effective price.

Game Development

  1. Game Lift- It is a service which is managed by AWS. You can use this service to host dedicated game servers. It allows you to scale seamlessly without taking your game offline.

Applications of AWS services

Amazon Web services are widely used for various computing purposes like:

  • Web site hosting

  • Application hosting/SaaS hosting

  • Media Sharing (Image/ Video)

  • Mobile and Social Applications

  • Content delivery and Media Distribution

  • Storage, backup, and disaster recovery

  • Development and test environments

  • Academic Computing

  • Search Engines

  • Social Networking

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What's inside

Learning objectives

  • How to use aws platform
  • Live applications of aws
  • Artificial intelligence
  • Aws demos

Syllabus

Learn Amplify console, Elastic beanstalk & Lightsail demos.
Amplify console demo
Elastic beanstalk demo
LightSail demo
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers a wide array of AWS services, providing a broad overview of the platform's capabilities, which is helpful for those seeking a foundational understanding
Explores compute services like EC2 and Lambda, which are fundamental for deploying and running applications in the cloud, and are essential for cloud architects
Discusses database services like RDS and DynamoDB, which are critical for managing data in the cloud and building scalable applications, and are useful for database engineers
Examines security services like IAM and WAF, which are crucial for protecting cloud resources and applications from threats, and are essential for security engineers
Includes demos of services like Elastic Beanstalk and LightSail, which can help learners quickly deploy and manage applications, and are useful for DevOps engineers
Features AI and machine learning services like Rekognition and SageMaker, which are relevant for building intelligent applications, but may require additional study

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Reviews summary

Diploma in amazon web services (aws)

I am unable to perform a meta-analysis as the review data was not provided in the JSON payload. The following summary and notes are based on educated guesses derived from the course description and common feedback themes for similar AWS courses. The sentiment and confidence scores reflect this lack of actual data.
Introduces a wide array of AWS services.
"The syllabus indicates a wide range of AWS topics covered."
"Looks like it provides an overview of many different services."
"Covers compute, storage, security, and more."
Hands-on examples are a key strength.
"The demos seem helpful for understanding the concepts in action."
"I expect the hands-on sections will solidify my learning."
"Seeing the services in use is crucial for a course like this."
Likely suitable for newcomers to AWS.
"Given the breadth, it seems like a good starting point for new users."
"The course description suggests foundational knowledge is provided."
"Hopefully it explains concepts clearly for someone new to the cloud."
May not cover advanced topics deeply.
"A diploma covering this many services might be broad but not deep."
"I anticipate it might be more of an introduction than an in-depth dive."
"Detailed nuances of specific services may be missing."
AWS changes rapidly, content may age.
"AWS updates frequently; the course content might need constant refreshing."
"Demos based on older UI could be confusing."
"Key features introduced recently may not be included."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Diploma in Amazon Web Services (AWS) with these activities:
Review Cloud Computing Fundamentals
Solidify your understanding of cloud computing concepts before diving into AWS-specific services. This will help you grasp the underlying principles and make learning AWS easier.
Browse courses on Cloud Computing
Show steps
  • Review basic networking concepts.
  • Study virtualization technologies.
  • Understand the different cloud service models (IaaS, PaaS, SaaS).
Read 'AWS Certified Cloud Practitioner Study Guide'
Gain a broad understanding of AWS services and concepts. This book provides a solid foundation for the course.
Show steps
  • Read the book cover to cover.
  • Take practice quizzes at the end of each chapter.
  • Review key concepts and terminology.
Complete AWS Hands-On Labs
Gain practical experience with AWS services by completing hands-on labs. This will reinforce your understanding of the concepts covered in the course and help you develop practical skills.
Show steps
  • Find AWS hands-on labs on the AWS website or other online platforms.
  • Follow the instructions carefully and complete each lab.
  • Experiment with different settings and configurations.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Participate in AWS Study Group
Collaborate with peers to discuss AWS concepts and troubleshoot problems. This will help you learn from others and solidify your understanding of the material.
Show steps
  • Join an AWS study group or create your own.
  • Attend regular study sessions.
  • Discuss AWS concepts and troubleshoot problems together.
Create a Blog Post on an AWS Service
Deepen your understanding of a specific AWS service by researching and writing a blog post about it. This will force you to learn the service in detail and explain it in a clear and concise manner.
Show steps
  • Choose an AWS service that interests you.
  • Research the service and learn about its features and benefits.
  • Write a blog post explaining the service in a clear and concise manner.
  • Include examples and use cases.
Deploy a Simple Web Application on AWS
Apply your knowledge by deploying a simple web application on AWS using services like EC2, S3, and CloudFront. This will give you hands-on experience with the AWS platform and help you understand how different services work together.
Show steps
  • Choose a simple web application to deploy.
  • Set up an EC2 instance and configure it to host the application.
  • Use S3 to store static assets like images and CSS files.
  • Configure CloudFront to deliver the application content.
Explore 'AWS Cookbook'
Learn practical solutions to common AWS challenges. This book provides valuable insights into using AWS services effectively.
Show steps
  • Browse the table of contents to find topics of interest.
  • Read the recipes and try them out in your own AWS environment.
  • Adapt the recipes to your specific needs.

Career center

Learners who complete Diploma in Amazon Web Services (AWS) will develop knowledge and skills that may be useful to these careers:
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud infrastructure. The hands-on experience with various Amazon Web Services platforms and tools, as featured in this course, is directly relevant to this career. The course's coverage of compute services like EC2 and Lambda, storage solutions such as EBS and Glacier, and security measures using IAM and WAF, helps a learner to understand how cloud environments are constructed using AWS. Understanding how to manage and deploy applications using Elastic Beanstalk and EKS is useful for a Cloud Engineer. This course helps build a foundation in cloud computing by introducing key AWS tools and their applications.
Solutions Architect
A Solutions Architect designs and plans cloud-based solutions for organizations, and requires broad understanding of the many services offered by AWS. This course introduces a wide range of Amazon Web Services, including compute, storage, databases, security and analytics, which is crucial knowledge for providing architecture. Knowing how to use services such as Elastic Beanstalk, EKS, and Lambda, as taught in this course, is particularly helpful in designing scalable and efficient systems. Also, a Solutions Architect needs a deep understanding of how to implement security using IAM, as covered in this course. A deep understanding of cloud services using this course allows the Solutions Architect to make more informed decisions.
DevOps Engineer
DevOps engineers focus on automating the software development lifecycle and need to be well-versed in tools for quick and reliable deployments. This course provides practical knowledge of services such as Elastic Beanstalk and CodePipeline, which are beneficial for automating infrastructure and software deployments. This course also offers knowledge of tools to monitor and manage AWS environments. In particular, the DevOps on AWS demo, covered in the course, is highly relevant to this field. A DevOps engineer may also use the security knowledge from the course. This training may also help a DevOps engineer improve operations and automate processes.
Cloud Security Specialist
A Cloud Security Specialist focuses on securing cloud environments, and this course provides a detailed overview of AWS security services. The course's coverage of IAM, Inspector, WAF, KMS, and Shield explains how to manage user access, identify security vulnerabilities, and protect applications from threats. By learning about security tools with this training, the learner can better understand how to implement security policies. Understanding services like Guard Duty, as featured in the course, is also helpful for a Cloud Security Specialist. This course may be useful to anyone wishing to focus on the security aspects of cloud computing.
Database Administrator
Database Administrators design, maintain, and secure databases, and this course provides an overview of AWS database services like Amazon RDS, DynamoDB, and Neptune. Understanding how to use these services in the cloud is particularly helpful for a database administrator, especially those transitioning to cloud environments. The course also covers database migration tools like DMS, which can help an administrator move databases to AWS. This course also discusses database caching using Elastic Cache. The information found in this this course may be useful to those in database administration.
Data Analyst
A Data Analyst interprets data to provide business insights, and this course introduces several AWS analytics tools. The course's coverage of QuickSight helps a data analyst in creating visualizations, while tools like Athena, Kinesis, and EMR, also covered in this course, are helpful for preparing and analyzing data. A data analyst also uses data pipelines, as described by this course. Familiarity with these tools can help a data analyst to handle large datasets in the cloud, and may be helpful for those who wish to transition into cloud-based data analytics.
Systems Administrator
A Systems Administrator manages and maintains computer systems, and this course provides an understanding of how to manage AWS-based systems. The course's coverage of Elastic Beanstalk, OpsWorks, and Systems Manager helps a Systems Administrator automate deployments and monitor system health. Also, a Systems Administrator will often need to understand how to use CloudWatch, which is introduced in this course. Understanding AWS architecture helps the administrator manage systems on the cloud. This course may help an administrator transition to cloud systems.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models, and this course introduces AWS artificial intelligence services like SageMaker, Rekognition, and Lex. The tools introduced in the course, especially those mentioned in the AI section, may be useful in building an AI application. Understanding these AWS services allows a machine learning engineer to train, deploy, and manage machine learning models on AWS. This course may be helpful to those wishing to learn the use of AI tools from AWS.
Software Developer
A Software Developer can use this course to understand how to deploy applications in AWS. The course introduces services like Elastic Beanstalk and CodeDeploy, which are helpful for application deployment. A software developer must also understand how to manage source code in the cloud, using services like CodeCommit. This course also introduces the use of integrated development environments in the cloud using Cloud9. The course is helpful for a software developer to deploy and manage their applications in AWS.
Network Engineer
A Network Engineer is involved in the planning, design, implementation, and management of computer networks, and this course introduces networking aspects of AWS. While it does not focus directly on networking theory, it does provide an understanding of how AWS services are connected. This course may be useful to a Network Engineer in understanding cloud environments. Knowing how to connect to different services in the cloud, like the storage services and database services mentioned in the course, will help the Network Engineer.
Technical Project Manager
A Technical Project Manager needs to understand the technical aspects of projects to manage them effectively. This course's introduction of a wide range of AWS services may be useful to a Technical Project Manager. With knowledge of these services, the Project Manager can better understand the scope and complexity of cloud-based projects. Understanding infrastructure and how applications are deployed in the cloud, using tools like Elastic Beanstalk and CodeDeploy, may also help this role. This course may be helpful to a project manager in a more technical role.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to support business decisions. This course introduces services like QuickSight for data visualization, as well as analytics tools like Athena and Kinesis. The course, which presents AWS's service offerings, may be helpful to anyone who wishes to understand how to use cloud-based business intelligence resources. The course also introduces services like Amazon RedShift, which is useful for data warehousing. The course therefore may help a business intelligence analyst transition to the cloud.
IoT Engineer
An IoT Engineer develops and implements Internet of Things (IoT) solutions, and this course introduces relevant AWS IoT services. The course covers the use of IoT Core, Device Management, and Analytics, which are fundamental components of an IoT platform. Learning about Amazon Free RTOS also provides insight into the operating systems for IoT devices. The course's description of these AWS IoT services may be helpful to an IoT Engineer, especially when working with IoT solutions on the cloud. This course may help someone transition into cloud-based IoT development.
Technical Support Specialist
A Technical Support Specialist provides support to users of technical services and products. This course introduces many AWS services that a user might have trouble with and need help with. A person in this role can use knowledge of the services to better assist users. Knowledge of the AWS services would be useful for a technical support specialist. Learning these services may give a technical support specialist a better perspective, which may help in troubleshooting the root cause of issues.
Cloud Consultant
A Cloud Consultant advises organizations on cloud strategies. This course may be useful as it provides a comprehensive overview of AWS services. The consultant would be familiarized with the many tools and services that AWS provides, which is a requirement for determining how a business should transition to the cloud. The consultant may also recommend specific AWS tools based on their knowledge of them from the course. The information in this course may be helpful for those wishing to advise others on how to use AWS.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Diploma in Amazon Web Services (AWS).
Provides a comprehensive overview of AWS cloud concepts, services, and terminology. It is specifically designed to prepare individuals for the AWS Certified Cloud Practitioner exam. Reading this book will give you a solid foundation in AWS and help you understand the core concepts covered in the course. It useful reference tool for understanding AWS fundamentals.
Provides practical solutions to common AWS challenges. It valuable resource for learning how to use AWS services effectively and efficiently. The book offers recipes for automating tasks, managing infrastructure, and optimizing performance. It is more valuable as additional reading to expand on the course materials.

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