AWS DevOps Engineer – Professional

aws

AWS DevOps Engineer – Professional

Duration

80 hrs.

Level

Intermediate

This 80hrs (Lectures + hands-on Lab) AWS DevOps Engineer Professional training is designed to empower you with the knowledge, skills, and expertise required to provision, configure, and manage a wide range of AWS services and resources to support your DevOps workflows. This includes mastering infrastructure as code (IaC) using tools like AWS CloudFormation and Terraform. This course will provide candidates with a comprehensive foundation to gain expertise on Amazon ECS and EKS, serverless computing with AWS Lambda, optimizing application scalability and reliability, understanding collaboration, automation, CI/CD, and accomplish their day-to-day job and AWS DevOps Engineer Professional certification. This is a lab-intensive course and objectives are accomplished through hands on learning.

Introduction

This 80hrs (Lectures + hands-on Lab) AWS DevOps Engineer Professional training is designed to empower you with the knowledge, skills, and expertise required to provision, configure, and manage a wide range of AWS services and resources to support your DevOps workflows. This includes mastering infrastructure as code (IaC) using tools like AWS CloudFormation and Terraform. This course will provide candidates with a comprehensive foundation to gain expertise on Amazon ECS and EKS, serverless computing with AWS Lambda, optimizing application scalability and reliability, understanding collaboration, automation, CI/CD, and accomplish their day-to-day job and AWS DevOps Engineer Professional certification. This is a lab-intensive course and objectives are accomplished through hands on learning.

The key to a high success rate is based on the program’s objectives as follows:

  • Course contents are based on AWS course outlines.
  • Dedicated Monitoring to evaluate and report candidate’s progress.
  • Extensive hands-on lab exercises.
  • Industry acclaimed, experienced and certified instructors.

  • Project manager can be assigned to track candidate’s performance.
  • Curriculum based on course outlines defined by Microsoft.
  • This Instructor-led classroom course is designed with an aim to build theoretical knowledge supplemented by ample hands-on lab exercises.
  • Facility of Lab on cloud available.
  • Courseware includes reference material to maximize learning.
  • Assignments and tests to ensure concept absorption.
  • Courseware includes reference material to maximize learning.
  • Repeating of lectures allowed (On approval basis)
  • Candidates can attend lectures online.

  • Explore the AWS ecosystem and its relevance to DevOps practices.
  • Learn about AWS global infrastructure, regions, and availability zones.
  • Create, manage, and deploy AWS resources using AWS CloudFormation.
  • Provision, configure, and manage EC2 instances.
  • Use advanced AWS services, such as serverless computing, machine learning, and artificial intelligence.
  • Centralize and analyze logs with Amazon CloudWatch Logs and AWS CloudTrail.
  • Use machine learning to automate tasks and make predictions.
  • Explore serverless architectures.
  • Recognize the significance of collaboration, automation, and continuous integration and delivery (CI/CD) in DevOps.
  • Understand the concept of serverless computing.
  • Implement security best practices in AWS, including identity and access management (IAM).
  • Stay up to date on new AWS services and tools.
  • Analyze and troubleshoot cloud solutions.
  • Apply DevOps and AWS skills to real-world use cases and challenges.
  • Work on a comprehensive course project that encompasses key DevOps and AWS principles.

The AWS DevOps Engineer Professional Course is structured to equip candidates with the essential skills and knowledge needed to excel in automating solutions with CI/CD and serverless architecture within the AWS cloud environment. This comprehensive course is divided into several key modules, each focused on a critical aspect of AWS DevOps Engineering. The following topics are general guidelines to better reflect the contents of the course and for clarity purposes, the guidelines below may change at any time without notice.

Introduction to DevOps and AWS:

  • Understanding DevOps principles and practices.
  • Exploring the role of DevOps in modern software development.
  • Introduction to AWS services and their relevance to DevOps.

Infrastructure as Code (IaC) with AWS:

  • Core AWS services, including EC2, S3, RDS, and Principles of infrastructure as code (IaC) and its importance in DevOps.
  • Using AWS CloudFormation for provisioning and managing AWS resources.
  • Creating, deploying, and updating AWS resources with CloudFormation.

AWS Elastic Compute Cloud (EC2) and Server Management:

  • AWS EC2 instance provisioning and management.
  • Auto-scaling for dynamic workloads and load balancing with Elastic Load Balancing (ELB).
  • Launching and managing EC2 instances, configuring auto-scaling, and setting up load balancers.

Serverless Computing with AWS Lambda:

  • Understanding serverless computing and the AWS Lambda service.
  • vent-driven architecture and serverless application design.
  • Developing, deploying, and testing serverless functions using AWS Lambda.

Security and Compliance in AWS:

  • AWS security best practices and identity and access management (IAM).
  • Network security with Virtual Private Cloud (VPC), security groups, and Network Access Control Lists (NACLs).
  • Configuring IAM roles, setting up VPCs, and implementing security groups.

Continuous Integration and Continuous Delivery (CI/CD):

  • CI/CD principles, pipeline design, and automation.
  • WS CodePipeline for building, testing, and deploying code changes.
  • Creating a CI/CD pipeline using AWS CodePipeline.

Monitoring, Logging, and Incident Response:

  • AWS monitoring and alerting with Amazon CloudWatch.
  • Centralized logging and analysis with Amazon CloudWatch Logs and AWS CloudTrail.
  • Incident response strategies and best practices.
  • Setting up CloudWatch alarms, centralizing logs, and analyzing AWS CloudTrail data.

Real-world Scenarios and Best Practices:

  • Real-world use cases of DevOps practices and AWS services.
  • Best practices for optimizing DevOps processes, including performance, reliability, and scalability.
  • Working on real-world scenarios and addressing common DevOps challenges.

Course Project:

  • Collaborative course project applying DevOps and AWS skills to design and deploy a robust DevOps pipeline.
  • Implementing and presenting the course project.

Followings labs will be performed by candidates during lab practice sessions:

  • Lab 1. AWS Account Setup and AWS CLI.
  • Lab 2. AWS Resource Provisioning with CloudFormation.
  • Lab 3. EC2 Instances and Auto Scaling.
  • Lab 4. Serverless Computing with AWS Lambda.
  • Lab 5. Network Security with VPC and Security Groups.
  • Lab 6. Identity and Access Management (IAM).
  • Lab 7. Building a CI/CD Pipeline with CodePipeline.
  • Lab 8. Monitoring and Alerting with CloudWatch.
  • Lab 9. Centralized Logging with CloudWatch Logs and CloudTrail.
  • Lab 10. Real-world Scenarios and Course Project.

  • Instructor led online training is an ideal vehicle for delivering training to individuals anywhere in the world at any time.
  • This innovative approach presents live content with instructor delivering the training online.
  • Candidates will be performing labs remotely on our labs on cloud in presence of an online instructor.
  • Rstforum uses microsoft lync engine to deliver instructor led online training.
  • Advances in computer network technology, improvements in bandwidth, interactions, chat and conferencing, and realtime audio and video offers unparalleled training opportunities.
  • Instructor led online training can helps today’s busy professionals to perform their jobs and upgrade knowledge by integrating self-paced instructor led online training in their daily routines.

  • Minimum batch size required for batch is 10 participants in the this course.
  • The RST Forum reserves the right to cancel/postpone the class.
  • Course schedule will be provided before commencement of the course.
  • Certificate of participation will be awarded to participants with a minimum 90% attendance.
  • All attendees are to observe the Copyright Law on intellectual properties such as software and courseware from respective vendors.
  • The RST Forum reserves the right to include external participants in the program either for the entire course or individual courses.
  • The RST Forum reserves the right to change/alter the sequence of courses. RST FORUM published Book would be given at 50% discounted rate to the forum students.

Labs on cloud

SunPlus forum uses cloud computing to efficiently provide “Platform As A Service” (PAAS) to its students enabling them to quickly access Technology Racks over the internet and practice lab exercise from home These Racks are populated with latest equipment’s required for practical exercise’s.

Web Forums

Our web based forum allows its users to ask, hundreds of technical experts about their technology and certification problem. SunPlus forum is a tight knit community of working professionals that provide timely help on technical, certification and design related queries.

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