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AWS Advanced

LearnKartS

Welcome to the AWS Advanced course!

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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.

Enroll now

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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.
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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

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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
Refresh your understanding of basic networking concepts to strengthen your foundation for advanced AWS concepts.
Browse courses on Networking Fundamentals
Show steps
  • 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
This activity will help you recall the core concepts of cloud computing and make learning AWS more effective.
Browse courses on Cloud Computing Basics
Show steps
  • Read a book on cloud computing.
  • Go through a tutorial on AWS fundamentals.
Monitoring and Management with CloudWatch and CloudTrail
Learn from industry experts through official AWS tutorials to deepen understanding of monitoring and management practices in AWS environments.
Browse courses on CloudWatch
Show steps
  • Explore CloudWatch dashboard creation
  • Set up alerts to monitor AWS resource usage
  • Use CloudTrail to audit API calls
11 other activities
Expand to see all activities and additional details
Show all 14 activities
AWS Case Study Group
Join a study group to discuss AWS case studies and share knowledge with fellow learners, gaining diverse perspectives.
Show steps
  • 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
Sharpen your command-line skills by practicing navigation in the AWS CLI, which is a command-line tool for managing AWS services.
Browse courses on AWS CLI
Show steps
  • Install the AWS CLI
  • Configure your AWS credentials
  • List all AWS regions
  • Create a new EC2 instance
AWS CloudWatch Deep Dive
Delve into AWS CloudWatch services for monitoring and logging, enabling you to proactively detect and resolve issues.
Browse courses on CloudWatch
Show steps
  • 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
Practice configuring and managing auto-scaling and load balancing to gain hands-on experience in optimizing AWS deployments.
Browse courses on Auto-scaling
Show steps
  • 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
Practice configuring and managing load balancers and auto scaling policies to ensure optimal resource utilization.
Browse courses on Load Balancing
Show steps
  • 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
Gain proficiency in deploying and scaling applications on AWS by practicing with Elastic Beanstalk, a fully managed platform for deploying and scaling web applications.
Browse courses on AWS Elastic Beanstalk
Show steps
  • 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
Implementing a simple Lambda function for a real-world scenario will help solidify your understanding of serverless computing and event-driven architecture.
Show steps
  • 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
Engage with peers to discuss real-world applications of serverless computing, validate design choices, and expand perspectives.
Browse courses on Serverless Computing
Show steps
  • Present a design proposal for a serverless application
  • Receive feedback and suggestions from peers
  • Refine the design and implementation plan
Serverless Application Design
Develop a serverless application to reinforce your understanding of serverless computing concepts and best practices.
Browse courses on Serverless Architectures
Show steps
  • 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
Enhance your practical understanding of serverless computing by building a complete application with AWS Lambda, a serverless compute service.
Browse courses on Serverless Computing
Show steps
  • 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
Develop a comprehensive strategy for monitoring and logging your AWS environment. This will help you identify and troubleshoot issues, as well as optimize performance.
Browse courses on AWS Monitoring
Show steps
  • 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:

Reading list

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Course image
Effort
4 weeks of study, 2 hours/week
Level
Intermediate
Via
Coursera
Institution
LearnKartS
Instructor
LearnKartS
Session
August 12, 2024 - September 16, 2024
Language
English
Good to know
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
Share and help others discover this course.
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