Brochure for geekonik AWS FINAL
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Table Of 
Content
• About the course
• Keys features of the AWS cloud job 
ready program
• Participation and certification 
alignment
• Learning path visualization
• Who should enroll
• Courses
• Networking essentials
• Basic Red Hat/Centos 
administration and shell 
scripting
• Advanced Red 
Hat/Centos 
administration
• Ubuntu administration
• AWS solution architect 
associate
• AWS sysops associate
• AWS data base 
migration
• Fully automated CI/CD pipeline 
using Jenkins, Kubernetes, 
Docker
• Projects and prospects
• Tools and services covered
• Certification
• Classwrowomw l.egvel eimkmoenrsikio.nco +91 
• Corpmorate training 8218500370
Key Features
• 92+ hours of Led live online 
class & recorded sessions • 16+ in-demand tools 
and skills.
• Easy monthly 
installments 
available. • 8 to 9 Months 
program.
• Get Certified.
• Live 
Internship.
• 1:1 Free Unlimited Doubt 
clearing Session
• 100% Placement 
Assistance
• 1:1 Personalised Mentorship
• Real-world Projects & 
Case Studies.
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Participation and
Certifications 
Alignment
This AWS job ready 
program is aligned 
to curriculum of 
Amazon Web 
Services and
we are the
 registered training 
provider for this 
program.
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Learning 
•PNaetwtohrking Essential: 7 hours
• Red hat/Centos Linux basic administration/shell
• Scripting: 35 hours
• Red hat/Centos Linux advanced administration: 20 
hours
• Ubuntu Distribution administration: 7 hours
• AWS solution architect associate: 40 hours
• AWS database migration: 4 hours
• AWS sysops administrator: 40 hours
• Fully automated CI/CD pipeline using Jenkins, 
Kubernetes, GitHub
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able to get well versed into these 
sections:
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• Ensure that you are fully proficient in 
identifying AWS terminologies, concepts, 
benefits and deployment options to meet 
your business requirements.
• Understand the Linux architecture in complete 
detail.
• You will be prepared to get a job as an 
experienced Linux administrator
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• Implement AWS security and testing, and become an 
expert in AWS components such as S3, Dynamo DB, 
and CloudFormation.
• Get an overview of AWS DMS, how the AWS 
Schema Conversion tool works, and
types of AWS Database Migration Services.
• Deploy, manage and operate scalable, highly available, 
and fault-tolerant systems on AWS. Select the 
appropriate AWS service based on data, compute, 
database, or security requirements
• Deploy a fully automated CI/CD pipeline using 
various tools like Jenkins, kubernetes, docker, etc.
• Monitor the applications using various monitoring 
tools like prometheus and grafana.
• Build a complete AWS architecture and perform 
automation on it using terraform and ansible.
Who should Enroll in this 
program:
This program caters to those who are hoping to enter the cloud 
industry. The following roles and disciplines are ideal for this 
course:
• Fresh graduates who are intent on taking the plunge 
into the job market.
• Any professionals who are working in either technical 
or non-technical job roles and wantto shift to cloud 
domain
• Experienced desktop support, systemadministrator, 
system engineer, software engineer who wants to shift 
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STEP 1:
Networking Essential
This Network-Essentials Training Course will introduce 
you to the fundamentals of how networking works. The 
training will account on all the fundamentals of 
networks that are important for learning VPC in AWS 
structure. Not only it is about VPC but it is also 
mandatory for someone who is working on AWS 
architecture to be well versed with the knowledge of in 
and out of the network as that person is responsible for 
handling overal architecture of AWS.
Key Learning Objectives
By the end of networking essentials training, we will able to:
• Know about the fundamentals of networking and 
how internet works.
• Know about the implementation of OSI model 
and TCP/IP model.
• Know about how DNS and DNCP works in real 
time environment.
• Know about the working of how packet actually travel 
while crossing any network.
• Know about how to troubleshoot the network and server and 
if they are not working properly.
• Being a AWS architect it is mandatory to know how 
infrastructure work and hence it is a first stage to 
be a successful cloud administrator.properly.
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Key Learning 
O• Lbessjoen c1. tInitvroedusction to Networking essentials
• .lesson 2. Subnetting class A, class B and class C
• Lesson 3. Detailed OSI model and TCP/IP model
• Lesson 4. Practical implementation of TCP/IP model
• Lesson 5. Routing methodology, firewall and DHCP
complete architecture
• Lesson 6. DNS complete architecture and 
practical implementation
• Lesson 7. Troubleshooting using ping, 
NSlookup, traceroute
• Lesson 8. How packet travel from one pc to another 
pc when we type google.com on browser
STEP 2:
RED HAT/CENTOS LINUX BASIC 
ADMINISTRATION/SHELL 
SCRIPTING
The training will help you to introduce to the basic fundamentals of 
how Linux operating system works. This is one of the most 
important part of any cloud environment as without learning how 
to work on Linux, we can’t actually work, most importantly on 
cloud environment especially AWS, company is using Linux 
operating system in their server. The course will help you to know 
how to manage Red hat or centos Linux operating system in a full-
fledged manner. The course will also help you to understand how 
to automate the task in any operating system as it is one of the 
most important part of any company.
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Key Learning 
O• Bbe ajbele cto tciomvpeletsely manage the functioning of 
basic operation of Red Hat and Centos operating 
system
• Be able to know how to automate the task so as to lower down 
the burden on the ndividual for performing the same task again 
and again.
• Be able to handle file handling, user management, group
management, security and other part of the server.
• Be single handedly responsible for working and managing 
the Server in the AWS infrastructure as a responsible 
server administrator.
Course Curriculum
• Lesson1. Linux boot process concept
• Lesson2. Install, configure and monitor kernel modules
• Lesson3. Configure and verify network connection 
parameters
• Lesson4. Manage storage in a Linux environment
• Lesson5. Conduct software installations, configurations 
updates and
removals
• Lesson7. Understanding devices in Linux
• Lesson6. Linux graphical user interface
• Lesson8. Manage users and groups
• Lesson9. Automate schedule and jobs
• Lesson10. Create modify and redirect files
• Lesson11. Manage services
• Lesson12. File and directory permissions
• Lesson13. Context -based permission
• Lesson14. Access and authentication configuration
• Lesson15. Security best practices and system hardening
• Lesson16. Logging services
• Lesson17. Firewall in Linux
• Lesson18. Bwacwkuwp, .regsetoree kanodn ciokm.pcreoss file+s 91 
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• Lesson19. Analyse system properties
• Lesson20. Troubleshoot user and hardware issues
• Lesson 21. Deploy and execute basic bash script
• Lesson22. Version control using Git and GitHub
STEP 3:
Red HAT/CENTOS 
Advance Administration
The training will help you to perform all the advanced 
administration of Linux operating system. It will get 
student well versed in managing services that are 
required to become a well-trained server administrator. 
Our main aim is to get student practically strong in all 
aspect of automation and Linux Administration, hence 
this training will fulfil all the criteria. The training is in 
continuation with the latest syllabus of RHCE, we will 
cover automation using ansible as a language.
Key Learning Objectives
• With the help of training, students will be able to learn all the 
advance way of administering Linux services like DNS, samba, 
NFS and so on.
• The students will get the knowledge of how to automate 
any environment, and how to deploy the servers within no 
time.
• The course will act as one of the most important part of dealing 
with the job market.
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Course 
•CLeussronr1:i Scysuteml ucomnfiguration and management
• Lesson2: Network services
• Lesson3: HTTP/HTTPS services
• Lesson4: DNS
• Lesson5: NFS
• Lesson6: SMB
• Lesson7: SMTP
• Lesson8: SSH
• Lesson10: NTP
• Lesson11: Database services
• Lesson12: Understand core component of Ansible
• Lesson13: Install and configure an ansible
• Lesson14: Configure ansible manage nodes
• Lesson14: Script administration tasks
• Lesson15: Create Ansible play and playbooks
• Lesson16: Use ansible modules and system administration 
tasks
• Lesson17: Create and use templates to create customized
configuration files
• Lesson18: Create and work with roles
• Lesson19: Managing parallelism
• Lesson20: Protect sensitive Data in playbooks with ansible 
vaults.
STEP 4:
UBUNTU 
Distribution 
Administration
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The training will help you to learn how to 
work on ubuntu distribution of Linux. The 
distribution is important when we need to 
work on DevOps part like Kubernetes. 
Functioning is same as just of red hat/centos 
but what differs is the syntax that is used to 
Kpeerfoyrm L thee taasrkn. ing 
•OAfbterj tehec tratiniivnge stsudents will be able to perform all kind 
of administrative task on ubuntu distribution.
• Most of the things which they have learned to work on 
Reh hat /  Centos, those services are applicable here also 
its just the way of dealing with these services changes 
hence students will be able to, learn how to implement 
them after learning basic functionality of Ubuntu.
• Students will become more confident while working on 
Kubernetes, if they have idea of how to work on ubuntu 
effectively and efficiently.
Course Curriculum
• Lesson1: Ubuntu desktop
• Lesson2: Ubuntu server
• Lesson3: File management in ubuntu desktop
• Lesson4: Installation, configuration and management
• Lesson5: User and group management
• Lesson6: Introduction to LEMP stack
• Lesson7: Installing a LEMP stack on Linux
• Lesson8: Configuring the Nginx server
• Lesson9: Configuring and customizing log files
• Lesson10: Working with PHP on LEMP stack
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Course 
C• Luesrsorn1i.c Aruchilteuctumre 101
• Lesson2. Aws Architecture 101
• Lesson3. AWS product fundamentals
• Lesson4. IAM (Identity and Access Management)
• Lesson5. Multi Account Management and 
Organisation
• Lesson6. Server based compute fundamentals
• Lesson7. Server based compute intermediate
• Lesson8. Server based compute advanced
• Lesson9. Serverless compute
• Lesson10. Container based microservices
• Lesson11. VPC
• Lesson12. Advanced VPC
• Lesson13. Global DNS Fundamental
• Lesson13. Global DNS Fundamental
• Lesson14. Global DNS advanced
• Lesson15. S3 architecture and features
• Lesson16. S3 performance and resilience
• Lesson17. CloudFront
• Lesson18. EFS file systems
• Lesson19. Database sections
• Lesson19. Load Balancing and Autoscaling
• Lesson21. VPN and direct connect
• Lesson22. Identity federation and SSO
• Lesson23. Application integration
• Lesson23. Analytics
• Lesson25. Logging and monitoring
• Lesson26. Operations and deployment
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STEP 5:
AWS Database Migration
This course will demonstrate the key 
functionality of AWS Database Migration Service 
(DMS) and
will help you understand how to easily and
securely move databases into the AWS cloud platform 
to take advantage of the cost savings
and scalability of AWS.
Key Learning Objectives
By the end of the training, you will be able to:
• Understand the working of how AWS schema conversion 
tool works.
• Get fully versed with how to implement data base service.
• Get practical hands-on data base migration technique.
Course Curriculum
• Lesson1: Overview
• Lesson2: Overview of AWS DMS
• Lesson3: Schema Conversion Tool
• Lesson4: database Migration service
• Lesson5: AWS database migration service review
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STEP 6:
AWS Sysops Associate
This AWS SysOps training is a prerequisite to work best 
in DevOps field. You will learn how to migrate on-
premise applications to AWS, control the flow of data to 
and from AWS, implement operational cost controls, and 
enhance your ability to efficiently leverage AWS 
resources and services, learning monitoring and logging, 
automating AWS infrastructure.
Key Learning Objectives
By the end of the training, you will be able to:
• Deploy, manage and operate, scalable, highly available, 
and fault-tolerant systems on AWS.
• Migrate an existing on-premises application to AWS.
• Ensure data integrity and data security on AWS 
technology.
• Understanding how to perform monitoring and logging in 
detail.
• How to automate the AWS infrastructure using 
terraform.
• Select the appropriate AWS service based on compute data 
or security requirements.
• Identify appropriate use of AWS operational best 
practices.
Course Curriculum
• Lesson1: Monitoring and reporting
• Lesson2: Deployment and provisioning
• provisioning Lesson3: High availability
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• Lesson4: Security and Compliance
• Lesson5: Deploying to AWS with automation using Ansible 
and terraform
• terraform Lesson6: Prometheus monitoring tool deep dive
STEP 7:
Building a CI/CD Pipeline using 
Jenkins, Kubernetes, Docker and 
GitHub
The training will train you in one of the most important 
skills of the market. This will open a door to DevOps 
world. You will be able to fully work in the department 
of automation and development. The training will make 
you a real leader in the market of emerging technology. 
It will help you to work on the various tools that are 
required by any experienced DevOps engineer to 
process the work of development, testing and 
deployment.
Key Learning Objectives
After getting fully trained in this training you will be able to:
• Student will be able to able to know complete in and 
out of Devops world .
• Student will be able to orchestrate the container world.
• Student will be able to work on CI/CD pipeline and perform 
all automation task related to continuous integration and 
continuous deployment using Jenkins.
• Student can handle all the work related to development, 
testing
and deployment required in the field of Devops 
engineering.
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Course 
Curriculum 
• Lesson1: Installation of GIT
•GLeistsoHn2: uBasbics of Using GIT
• Lesson3: Tags, branching, merging and reverting
• Lesson4: Gits logs and auditing
• Lesson5: Cloning repositories
• Lesson6: Push, pull and tracking remote 
repositories
• Lesson7: Setting up a Gitlab server
Implementing Full CI/CD Pipeline 
Using Jenkis, Docker and Kubernetes
• Lesson1: Build Automation using GIT and 
Gradle
• Lesson2: Continuous Integration
• Lesson3: Continuous Delivery
• Lesson4: Container Optimization
• Lesson5: Orchestration using Kubernetes
• Lesson6: Monitoring
• Lesson7: Self-healing
• Lesson8: Auto scaling
• Lesson9: Canary testing
• Lesson10: Fully automated deployment
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Booting 
Scenario
Create an environment in which we will perform various 
scenarios related to the booting of the Linux operating system 
with errors and exception handling.
Building Automation
Creating build automation with gradle, installing Jenkins, 
building an app as a  free style Jenkins project.
Building a CI/CD pipeline with Jenkins
Building a  Jenkin pipeline and implementing 
automated deployment through a Jenkin pipeline.
Dockrizing Jenkin Pipeline
Here we will dockerize an app and deploy a  docker container 
with Jenkin pipelines.
Deployment using Kubernetes
Here we will learn how to deploy with Kubernetes with 
Jenkins Pipelines and monitor using Grafana and 
Prometheus.
Self-Healing, AutoScaling and 
Canary Testing
Here we will work on how to prepare self-healing app in Kubernetes 
with autoscaling feature on and then also performing canary 
testing on it using Jenkins.
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Underlying Infra-
Challenges
Resize the existing cluster size in order to meet the 
infrastructure requirements of an already running application 
in production and auto scale the application in terms of 
replica sets and deployments.
Deploy Laravel or any Application in
Docker Container
Here students will learn how to containerize the 
Laravel application using docker image and how 
to deploy it using docker-compose in production 
environment.
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Tools and Services 
Coverd
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