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AWS DevOps Certification BootCamp – Level 4


Duration: 4 Days


This is an advanced course on AWS covering various deployment management and developer services with hands on lab exercises. This course assumes the candidate is already familiar with AWS and has practical experience to work with different AWS services.

Another aim of the course is to help you prepare for the AWS Certified DevOps Engineer - Professional Level Exam.

Why get an AWS Professional Certification?

  • There are very few people globally who have Professional Level Certification. So this course provides you an opportunity to prepare for Professional Level Certification Exam and be part of that group.
  • AWS Certification will help you achieve
      • The ability to demonstrate skills, knowledge and expertise in designing and deploying projects on the AWS platform.
      • Recognition and visibi...Read more



  • To achieve in-depth knowledge of advanced capabilities of AWS with deployment and automation
  • To understand the design patterns and manage the application deployments with minimal downtime.
  • To attain skills to clear the AWS Certified DevOps Engineer Certification Exam at Professional Level.

Who Should Attend

  • IT Professionals who want to take full advantage of deployment management and developer tools provided by AWS
  • IT Professionals who want to clear the AWS Certified DevOps Engineer Certification – Professional Exam.
  • People who are already AWS Certified Developer or AWS Certified SysOps Administrator at Associate Level & want to pursue higher certifications.


This is NOT a beginners AWS class. Prior experience with AWS is necessary.

  • Hand-on experience in S3, EC2, ELB, RDS, Auto-Scaling, VPC, IAM, DynamoDB, ElastiCache, EMR, RedShift, Data-Pipeline, Elastic BeanStalk (This knowledge can be acquired by attending  AWS Level-2  and AWS Level-3 courses offered by CloudThat).
  • AWS SysOps Associate Level Certification OR AWS Developer Associate Level Certification is mandatory to attend this training.

Course Outline

Here is the abbreviated version of course outline. Contact us for more information.

Day 1

    1. Introduction to DevOps
      • Fundamentals of DevOps
      • Continuous Integration
      • Continuous Build
      • Continuous Deployment
      • Deployment Strategies
    2. Advance EC2
    3. Advance Auto Scaling
    4. Hands-on Lab: Manage rolling updates with Auto Scaling and CloudFormation
    5. CloudFormation
      • Bootstrapping the instances using cfn-init
      • Wait Conditions
      • Nested Stacks
      • Rolling stack updates using Auto Scaling
    6. Hands-on Lab: Manage rolling updates with Auto Scaling and CloudFormation

Day 2

    1. Introduction to RedShift
      • RedShift Clusters / Cluster Types
      • Data Modeling
      • Security & Authorization
      • RDS vs RedShift
      • Use Cases
    2. Introduction to AWS Lambda
    3. Simple Notification Service
      • Introduction
      • Delivery Methods
    4. Simple Workflow service
      • SWF  Domains
      • Deciders / Workers
      • Workflow Lifecycle
      • Use Cases
    5. AWS Elastic Beanstalk
      • Introduction
      • Applications
      • Environments
      • Managing Deployments
      • Bootstrapping packages on the stack
    6. Hands-on Lab : Installing the application and creating multiple environments
    7. Advance SQS
      • Messages Receiving Order
      • Distributed Queues
      • Dead Letter Queue
      • Message Lifecycle
      • Integration with SNS
    8. Use Cases of SQS, SWF and SNS
    9. IAM
      • Cross-Account Access
      • Consolidated Billing
      • Role based Access Control
      • Federation

         10. Hands-on Lab: Web Identity Federation


Day 3

    1. Code Deploy
      • Introduction
      • Key Concepts
      • Repositories
      • Deployment Workflow
      • AppSpec Files
    2. Continuous Delivery and Integration with AWS Code Pipeline
      • Code Pipeline
      • Workflow using Code Pipeline
      • Integration with other AWS Services
    3. Hands-on Lab: Update the application on Beanstalk using Code Pipeline and Code Deploy
    4. Kinesis
      • Introduction
      • Kinesis Firehose
      • Kinesis vs SQS
    5. Advance CloudWatch
      • CloudWatch Logs
      • CloudWatch log aggregation capabilities
    6. Hands-on Lab: Streaming logs to store in S3 using Kinesis

Day 4

    1. OpsWorks
      • Introduction
      • Terminology
      • OpsWorks Events
      • OpsWorks Permissions
      • Rolling Deployments
      • Best Practices
    2. Hands-on Lab: Managing deployments using OpsWorks
    3. Architectural Discussion

Career Path

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About The Trainer

Himanshu Sachdeva
Senior Cloud Solutions Architect

2204524-12Himanshu has been developing/architecting IT applications for over 9 years & is working in cloud computing domain for about 5 years. He holds expertise in various cloud platforms including Amazon Web Services,, Google App Engine, etc. and has designed large & complex applications for some of the major international companies. He was involved in algorithmic research during earlier part of his career & carries strong foundation in field of computing. Himanshu is very passionate about technology & keeps himself abreast of latest tech trends.


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Bhavesh Goswami
Co-Founder & CEO

2204524-12Bhavesh Goswami the Co-Founder & CEO of CloudThat Technologies, is a leading expert in Cloud Computing space with over a decade of experience. He was in the initial development team of Amazon Simple Storage Service (S3) at Amazon Web Services (AWS) in Seattle. He honed his Cloud Computing skills at Amazon where he helped ship the first version of S3 in 2006. Later he moved to Microsoft after over three years at Amazon to take up the challenge to help manage Cosmos, the Cloud storage and Big Data computational engine that power all of the Microsoft’s Online Services, including Bing.

 In 2010, after living in USA over 10 years, he came to India in search of a challenge. He realized that the rapidly changing technology landscape and the busy schedule of IT professionals were not conducive to acquire new skills. Thus, he started CloudThat Technologies, a company focused on quickly empowering professionals & corporates on Cloud & Big Data through training & consulting services. He has personally trained over 1000 people on various Cloud technologies like AWS, Microsoft Azure, Google App Engine and more since early 2012.

Bhavesh has spoken at various Cloud and Big Data conferences and events like ‘7th Cloud Computing & Big Data’ and have been the Key Note Speaker at ‘International Conference on Computer Communication and Informatics’. He has authored numerous research papers and patents in various fields. He is passionate about technology and keeps the company up to date on latest Cloud technologies & market trends.

 Bhavesh earned MS in Computer Science from University of South Florida, where he was awarded Scholarships for Teaching Assistantship and Research Assistantship in 2003. He gained his Bachelor of Engineering in Information Technology from Nirma University in 2001.

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Other Details


For latest batch dates, fees, location, technical queries and general inquiries, contact our sales team at: +91 8880002200 or email at

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