AWS BUNDLE- Master COMPLETE Amazon Web Services from Udemy

In this course, you would be learning a wide range of tools and services available on Amazon Web Services (also know as AWS for short). You will be learning all the available services under catalog, and things we can do with each service provided with platform and Infrastructure categories. This is a Bundle course, with very large learning content spanning more then 17 hours. So take time to learn and practice, and we are here to support you in your learning adventure on AWS. And if you dedicate your time in learning AWS skills and practice them accordingly, you could simply learn AWS in 30 days.

If you are preparing for any kind of AWS Certifications, then you can take this course to build up your overall skills on wide range of tools and services in almost all the categories available on AWS. On completing this course, you would be very confident on your AWS cloud skills.

What is AWS?

AWS or Amazon Web Services is one of the leading cloud computing platform where you can use a wide array of cloud services to create and manage almost anything from database to machine learning models and much more.

You will be learning each of them in some depth building practical demonstration, and certain projects on topics like Lambda At later parts we would develop and deploy our test applications on AWS.

This course covers wide range of AWS services including-

STORAGE Services- S3, Glacier

What's inside

Learning objectives

On completion of this course you would be able to develop and deploy your applications over amazon cloud- amazon web services.
Having command over all the options, services and tools available.
You could develop mobile, web, iot, ai, and other applications.

Learn to create an object storage, alexa chatbot, devops toolchain, etc
You would learn about various machine leaning, devops, security and other services
You would also learn about mobile, analytics, compute, storage, database and other cloud services

On completion of this course you would be able to develop and deploy your applications over amazon cloud- amazon web services.
Having command over all the options, services and tools available.
You could develop mobile, web, iot, ai, and other applications.
Learn to create an object storage, alexa chatbot, devops toolchain, etc
You would learn about various machine leaning, devops, security and other services
You would also learn about mobile, analytics, compute, storage, database and other cloud services

Syllabus

Introduction

AWS Introduction

Create an account

Compute

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers a wide range of AWS services, which is helpful for learners preparing for AWS certifications and those seeking to build a broad skillset

Includes practical demonstrations and projects on topics like Lambda, which allows learners to apply their knowledge and build real-world skills

Explores services like S3 and Glacier, which are fundamental for anyone working with data storage solutions on the AWS platform

Features sections on DevOps tools and practices on AWS, which are essential for modern application development and deployment workflows

Includes sections on creating Docker images and working with AWS Fargate and ECS, which are valuable skills for containerization and orchestration

Spans over 17 learning, which may require learners to dedicate significant time and effort to fully grasp the concepts and complete the practical exercises

Reviews summary

Comprehensive aws bundle for beginners

According to learners, this course offers a broad coverage of many AWS services, making it a good starting point for those new to the cloud platform. Students found the practical demonstrations helpful for hands-on learning and appreciated the overall value given the amount of content. However, a significant number of reviews indicate that some content is outdated due to rapid AWS changes, and the breadth often comes at the cost of lacking depth needed for advanced understanding or certification preparation. While it provides a solid foundation, some novices found it challenging or overwhelming initially.

Provides a solid foundation for novices.

"A good starting point if you're completely new to AWS and want an overview."

"Helped me get comfortable with the basics of cloud and AWS services."

"Decent introduction to the AWS ecosystem and its vast array of offerings."

"It serves well as a gentle entry into the world of cloud computing with AWS."

Includes useful hands-on demonstrations.

"The hands-on demos were very helpful to follow along and see things in action."

"Appreciated the practical exercises included for different services."

"I learned best by doing the projects and demos provided in the course."

"The practical segments solidified my understanding better than just lectures."

Covers a wide range of AWS services.

"The course covers a vast number of AWS services, great overview."

"Loved getting exposure to so many different parts of AWS."

"Good for seeing the breadth of what AWS offers."

"It touches upon nearly all major AWS services, giving a good bird's-eye view."

Maintenance needed for current AWS state.

"The course needs regular maintenance to keep up with AWS's frequent changes."

"Instructor responsiveness to update content seems slow."

"It would be significantly improved with refreshed videos reflecting the current console."

"Keeping this kind of bundle current is a challenge, and it shows in some sections."

Surface-level coverage for many topics.

"Doesn't go deep enough for certification prep or real-world complex use cases."

"While it covers many services, the depth on each is quite limited."

"Some topics felt rushed and needed more in-depth explanation and advanced examples."

"If you need to master a specific service, this course only provides an introduction."

Some lectures need significant updates.

"Some sections are outdated, the AWS interface has changed significantly from the videos."

"Needs significant updates, many examples and console walkthroughs don't work anymore because AWS UI evolved."

"Found myself struggling because the UI in videos is different from the current AWS console."

"The rapid pace of AWS updates means parts of this course are unfortunately no longer current."

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 AWS BUNDLE- Master COMPLETE Amazon Web Services with these activities:

Review Cloud Computing Fundamentals

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Solidify your understanding of cloud computing fundamentals to better grasp AWS-specific implementations.

Browse courses on Cloud Computing Fundamentals

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Review the core concepts of cloud computing, including IaaS, PaaS, and SaaS.
Research the benefits and drawbacks of cloud computing.
Familiarize yourself with common cloud computing terminology.

Read 'AWS Certified Cloud Practitioner Study Guide'

Show steps

Supplement your learning with a comprehensive study guide to reinforce key concepts and prepare for potential AWS certifications.

View AWS Certified Cloud Practitioner Study Guide... on Amazon

Show steps

Obtain a copy of the 'AWS Certified Cloud Practitioner Study Guide'.
Read the chapters relevant to the course syllabus.
Complete the practice questions and review the answers.

Practice AWS CLI Commands

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Reinforce your understanding of AWS services by practicing common AWS CLI commands.

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Set up the AWS CLI on your local machine.
Practice commands for creating, managing, and deleting EC2 instances.
Practice commands for managing S3 buckets and objects.
Practice commands for deploying Lambda functions.

Four other activities

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Follow AWS DevOps Tutorials

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Enhance your DevOps skills on AWS by following guided tutorials on topics like CI/CD pipelines and infrastructure as code.

Show steps

Search for AWS DevOps tutorials on the AWS website or other reputable sources.
Choose a tutorial that covers a topic of interest, such as setting up a CI/CD pipeline with CodePipeline.
Follow the tutorial step-by-step, paying attention to the details.
Experiment with the tutorial and try to adapt it to your own use case.

Create a Blog Post on AWS Security Best Practices

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Deepen your understanding of AWS security by researching and writing a blog post on best practices.

Show steps

Research AWS security best practices, including IAM, VPCs, and encryption.
Outline the key topics to cover in your blog post.
Write a clear and concise blog post explaining the best practices.
Include examples and diagrams to illustrate the concepts.

Deploy a Simple Web Application on AWS

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Apply your knowledge by deploying a simple web application using various AWS services.

Show steps

Choose a simple web application to deploy (e.g., a static website or a basic Flask app).
Set up an EC2 instance or use Elastic Beanstalk to host the application.
Configure a load balancer and auto-scaling group for high availability.
Use S3 to store static assets.
Set up a CI/CD pipeline using AWS CodePipeline.

Read 'Programming AWS Lambda'

Show steps

Expand your knowledge of AWS Lambda with a dedicated book that covers advanced topics and real-world use cases.

View Putting Knowledge to Work on Amazon

Show steps

Obtain a copy of 'Programming AWS Lambda'.
Read the chapters relevant to serverless computing and Lambda function development.
Experiment with the code examples provided in the book.

Career center

Learners who complete AWS BUNDLE- Master COMPLETE Amazon Web Services will develop knowledge and skills that may be useful to these careers:

Cloud Engineer

A cloud engineer designs, implements, and manages cloud computing systems. This course provides a broad overview of Amazon Web Services, which is essential for any cloud engineer who wants to work with the AWS platform. You will learn to use various tools and services such as EC2, Elastic Beanstalk, Lambda, and S3. Learning how to deploy applications, manage virtual machines, and work with containers and databases are all necessary parts of a cloud engineer's job. The course's practical exercises, including project development, align well with the hands-on nature of a cloud engineer's work.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

A DevOps engineer works to integrate software development and IT operations, streamlining the software development lifecycle. This course is particularly beneficial as it covers DevOps tools and practices on AWS. The course teaches the creation of DevOps toolchains, the use of AWS Code Pipeline, and the application of AWS Lambda for serverless functions. A DevOps engineer should be familiar with deploying applications, managing infrastructure, and implementing continuous integration and continuous delivery solutions, all of which are covered within the practical components of the course.

See salaries and explore the career path for DevOps Engineer

Solutions Architect

A solutions architect designs and oversees the implementation of technical solutions to meet business requirements. A comprehensive understanding of AWS services, as provided in this course, is essential. The course's content, including compute, storage, database, and analytics services, allows a solutions architect to choose the right tools for a given project. The course's coverage of deploying applications and designing infrastructure enhances the ability of a solutions architect to plan and manage a complete system architecture, especially within the AWS ecosystem. This role may require an advanced degree.

See salaries and explore the career path for Solutions Architect

Cloud Consultant

A cloud consultant advises clients on how to best use cloud technologies to meet their business goals. This course helps build a strong foundation in AWS, enabling a Cloud Consultant to make informed recommendations. The breadth of services covered, from compute and storage to databases and machine learning, provides a consultant with the necessary knowledge. The practical projects in this course, such as developing and deploying various applications and integrations, would be helpful in shaping a consultant's insight into real-world cloud deployments. This role may require an advanced degree.

See salaries and explore the career path for Cloud Consultant

Backend Developer

A backend developer builds and maintains the server side of applications. This course helps backend developers gain experience with AWS services that are frequently used in backend development. The course covers creating backends for mobile apps, deploying web applications with tools like Elastic Beanstalk, and working with databases such as DynamoDB and RDS. The practical experience gained with deploying and managing applications on AWS is essential for any backend developer working in a cloud environment.

See salaries and explore the career path for Backend Developer

Systems Administrator

A systems administrator manages and maintains computer systems, including servers and networks. This course helps a systems administrator gain practical experience with managing systems on AWS. The course includes how to create and manage EC2 instances, configure virtual private clouds, and use services for compute, storage, database management and more. The hands-on experience the course provides with creating infrastructure within the AWS environment, and deploying different services is highly beneficial to someone in this role.

See salaries and explore the career path for Systems Administrator

Data Engineer

A data engineer designs, builds, and manages the infrastructure to support data analysis and machine learning. This course may be useful as it introduces several AWS services that are important in the data space including S3, Kinesis, and EMR. This course also provides training in the use of AWS Quicksight for data visualization and analysis. While the course is broad in scope, data engineers working in the AWS cloud may find the experience of deploying AWS services of value. This role may require an advanced degree.

See salaries and explore the career path for Data Engineer

Software Developer

A software developer designs, develops, and tests software applications. This course helps software developers in using AWS as a cloud platform for their work. Through this course, software developers can learn how to deploy applications, work with various AWS services, and create the necessary development and deployment environment on AWS. The practical experience of working with the various tools and services in this course may be beneficial to a software developer who wants to move into cloud based development.

See salaries and explore the career path for Software Developer

Database Administrator

A database administrator is responsible for the performance, integrity and security of a database. This course may be useful to a database professional who works with Amazon Web Services, as it reviews key AWS database services. The course teaches how to create and manage tables in DynamoDB, build RDS databases, and work with ElastiCache. This course will help a database administrator learn how to deploy database systems within the AWS cloud environment.

See salaries and explore the career path for Database Administrator

IT Project Manager

An IT project manager plans, executes, and oversees IT projects. This course may be useful as it provides a broad overview of how projects are deployed and developed within AWS. The course content introduces different services and tools available on AWS, and an IT project manager may find that the course provides insight on the scope, complexity, and requirements of working within the AWS cloud environment. This course helps an IT project manager understand the technical aspects of projects that utilize AWS.

See salaries and explore the career path for IT Project Manager

Network Engineer

A network engineer designs, implements, and maintains computer networks. This course may be useful to a network engineer who works with cloud based networking. The course includes training on how to configure virtual private clouds (VPCs) in AWS. The course material also includes training on how to utilize AWS services in the context of deploying a full application from the ground up. This will help a network engineer to understand how their work fits into an application deployment on the AWS platform.

See salaries and explore the career path for Network Engineer

Technical Support Specialist

A technical support specialist provides technical assistance to users of computer systems. This course may be useful as it provides a broad survey of many Amazon Web Services. The course is structured around hands-on practical applications utilizing the AWS ecosystem, which means that a technical support specialist can experience what it's like to deploy and configure many common AWS services. This course will help one in a technical support role understand common issues that users face when working with AWS.

See salaries and explore the career path for Technical Support Specialist

Web Developer

A web developer creates and maintains websites and web applications. This course may be useful as it demonstrates how to deploy web applications using AWS services such as EC2 and Elastic Beanstalk. The course includes a walk through on building and deploying web applications within the AWS environment. A web developer will gain insight and understanding of how to deploy apps on this popular cloud platform.

See salaries and explore the career path for Web Developer

Automation Engineer

An automation engineer develops and implements automated systems to increase efficiency. This course may be useful since it provides a broad introduction to serverless functions using AWS Lambda, and covers how to build and deploy infrastructure using tools such as CloudFormation. An automation engineer may be interested in the course as a way to learn how to leverage the AWS platform to automate different aspects of a projects or the software development life cycle.

See salaries and explore the career path for Automation Engineer

Machine Learning Engineer

A machine learning engineer develops and deploys machine learning models. This course may be useful as it introduces AWS services for Machine Learning. The course mentions learning about machine learning tools and other services. A machine learning engineer may find value in the course, especially in learning how to deploy models or build supporting infrastructure on the AWS platform for machine learning. This role may require an advanced degree.

See salaries and explore the career path for Machine Learning Engineer

AWS BUNDLE- Master COMPLETE Amazon Web Services

What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive aws bundle for beginners

Activities

Career center

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