AWS Advanced from Coursera

Welcome to the AWS Advanced course!

The "AWS Advanced" course is designed for AWS professionals aiming to deepen their expertise beyond the fundamentals of Amazon Web Services. Building upon the foundational knowledge covered in basic AWS courses, this advanced course delves into intricate scalability, load balance, messaging integration, monitoring, and management for mastering AWS environments.

This course assumes a solid understanding of core AWS services, such as EC2, S3, IAM, and VPCs.

By the end of this course, you'll be proficient in:

- Mastering auto-scaling and load-balancing techniques for dynamic resource management.

- Leveraging a multitude of AWS services for diverse cloud solutions.

- Implementing monitoring and logging solutions with CloudWatch, CloudTrail, and OpsWorks.

- Architecting serverless applications with AWS Lambda, API Gateway, and Cognito.

This course combines engaging videos, demos, knowledge checks, and readings to provide you with a comprehensive learning experience.

What's inside

Syllabus

Messaging and Integration

This module covers AWS messaging services and deployment tools, enabling efficient communication and resource deployment in AWS environments. By the end of the module, learners will gain practical experience, enhancing their skills in AWS resource management.

Scalability and Load Balancing

This module explores auto-scaling, load balancing with ELB, and storage options like Amazon EBS and EFS. By the end of this module, learners will gain hands-on experience in implementing auto-scaling, configuring load balancers, and understanding storage solutions for scalable AWS deployments.

Monitoring and Management

This module covers AWS CloudWatch fundamentals and monitoring services like CloudTrail, OpsWorks, and Trusted Advisor. By the end of this module, learners will gain practical skills in implementing monitoring solutions and managing AWS resources for enhanced security and performance.

Serverless Computing

This module covers serverless computing with Lambda, API Gateway, and AWS Cognito, alongside the Well-Architected Framework. By the end of the session, learners will gain hands-on experience in building serverless applications and designing efficient cloud architectures.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Ideal for AWS professionals seeking advanced knowledge beyond the basics

Provides hands-on experience in diverse AWS services and deployment tools

Covers advanced topics such as auto-scaling, load balancing, and serverless computing

Features a comprehensive curriculum with engaging videos, demos, and knowledge checks

Course materials require a solid understanding of core AWS services

Prerequisites may present challenges for beginners or learners lacking AWS experience

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 Advanced with these activities:

Review Networking Fundamentals

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Refresh your understanding of basic networking concepts to strengthen your foundation for advanced AWS concepts.

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Revisit OSI Model and TCP/IP stack
Review network addressing and subnetting
Understand network protocols and their functions
Explore network security concepts (firewalls, intrusion detection systems)
Read articles or watch videos on current networking trends

Review Cloud Computing Basics

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This activity will help you recall the core concepts of cloud computing and make learning AWS more effective.

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Read a book on cloud computing.
Go through a tutorial on AWS fundamentals.

Monitoring and Management with CloudWatch and CloudTrail

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Learn from industry experts through official AWS tutorials to deepen understanding of monitoring and management practices in AWS environments.

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Explore CloudWatch dashboard creation
Set up alerts to monitor AWS resource usage
Use CloudTrail to audit API calls

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AWS Case Study Group

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Join a study group to discuss AWS case studies and share knowledge with fellow learners, gaining diverse perspectives.

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Organize regular meetings with your study group
Select AWS case studies to analyze and discuss
Share your insights and experiences with the group
Collaborate on solutions to real-world AWS challenges

Practice navigating the AWS CLI

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Sharpen your command-line skills by practicing navigation in the AWS CLI, which is a command-line tool for managing AWS services.

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Install the AWS CLI
Configure your AWS credentials
List all AWS regions
Create a new EC2 instance

AWS CloudWatch Deep Dive

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Delve into AWS CloudWatch services for monitoring and logging, enabling you to proactively detect and resolve issues.

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Create and configure CloudWatch alarms and dashboards
Monitor EC2 instances, S3 buckets, and other AWS resources using CloudWatch
Analyze CloudWatch logs to troubleshoot and identify patterns
Set up CloudWatch notifications for real-time alerts

Auto Scaling and Load Balancing Practice

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Practice configuring and managing auto-scaling and load balancing to gain hands-on experience in optimizing AWS deployments.

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Review auto-scaling concepts and techniques
Set up an auto-scaling group with EC2 instances
Configure load balancers for distributing traffic
Test and monitor the auto-scaling and load balancing setup

Load Balancing and Auto Scaling Exercises

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Practice configuring and managing load balancers and auto scaling policies to ensure optimal resource utilization.

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Set up a load balancer with different configurations (e.g., round-robin, least connections)
Implement auto scaling rules for scaling up and down EC2 instances
Test and monitor the performance of your load balancing and auto scaling setups
Identify and troubleshoot common issues with load balancers and auto scaling

Practice deploying and scaling applications with AWS Elastic Beanstalk

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Gain proficiency in deploying and scaling applications on AWS by practicing with Elastic Beanstalk, a fully managed platform for deploying and scaling web applications.

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Create a new Elastic Beanstalk application
Deploy your application to Elastic Beanstalk
Scale your application up or down
Monitor your application's health

Create an AWS Lambda function

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Implementing a simple Lambda function for a real-world scenario will help solidify your understanding of serverless computing and event-driven architecture.

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Design the function's purpose and behavior
Write the code for the function in the language of your choice
Deploy the function to AWS
Test the function and observe its behavior

Serverless Computing Design Discussion

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Engage with peers to discuss real-world applications of serverless computing, validate design choices, and expand perspectives.

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Present a design proposal for a serverless application
Receive feedback and suggestions from peers
Refine the design and implementation plan

Serverless Application Design

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Develop a serverless application to reinforce your understanding of serverless computing concepts and best practices.

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Design a simple serverless application using Lambda and API Gateway
Implement authentication and authorization mechanisms
Deploy and test your serverless application
Monitor and debug the application using AWS logs and metrics
Optimize your serverless application for performance and cost

Build a serverless application with AWS Lambda

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Enhance your practical understanding of serverless computing by building a complete application with AWS Lambda, a serverless compute service.

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Create a new AWS Lambda function
Deploy your function to the cloud
Create an API Gateway to trigger your function
Test your application

Design and implement a monitoring and logging strategy for an AWS environment

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Develop a comprehensive strategy for monitoring and logging your AWS environment. This will help you identify and troubleshoot issues, as well as optimize performance.

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Identify the metrics and logs you need to collect
Configure CloudWatch to collect and visualize your metrics
Configure CloudTrail to log all API calls
Create alarms to notify you of potential issues

Career center

Learners who complete AWS Advanced will develop knowledge and skills that may be useful to these careers:

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AWS Advanced

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