AWS Certified Specialist

with

real-time project

(SOA-C02 & SA-A)

AWS Certified Specialist is combination of AWS Certified System Operations Administrator and AWS Certified Solution Architect.

One must have advanced skills to win the competition, so I have created customized suite of course which is combination of AWS Certified SysOps Admin, AWS Certified Solution Architect and some services from AWS Certified Developer aswell which makes unique.

please watch the video to get course overview

Register at below farm and get a call back from our trainer

Module 01 - Prerequisites

  • Being AWS administrator or AWS architect, you will be working on Infra components like AWS EC2, VPC, EBS EFS, ELB, AutoScaling, CloudWatch, RDS, VPN, Cloud Config, Cloud Trail etc..​


  • None of the cloud providers have groundbreaking innovations into Infa components, for example AWS EC2 concepts are built upon server hardware concepts, VPC concepts are built upon TCP/IP Networking concepts.​


  • To get job and to and long-lasting career, It is quite important you understand fundamentals.


Module 02 - Cloud Computing Fundamentals

  • New to the cloud ? this module teaches you basic cloud concepts. this module even introduces you context of cloud and complete evaluation from traditional datacenter to the cloud computing.

  • This module teaches you on how to apply scenario based knowledge to book / interview definitions.

  • This module teaches you on how cloud provides better High availability, scalability, elasticity, agility, fault tolerance and Disaster recovery compared to traditional Datacenter deployments.

Theory - Topics

  • Context of Cloud Computing

  • Cloud Computing Book Definition

  • Cloud Computing Essential Qualities

  • Cloud Service Delivery Models

  • Cloud Service Deployment Models

  • Compliance

  • Economics of sale

  • CapEx vs OpEx

Module 03 - AWS Fundamentals - Introduction to AWS

  • AWS fundamentals is building block to understand any specialized or advanced certifications like admin, developer, database, AI, ML etc..

  • fundamentals like global infrastructure is used across all the profiles of aws personnel

  • fundamentals like shared security model, licensing, creating free account and accessing services using different management tools like portal, cli is key and you will be very much familiar by the end of the module.

Theory

  • Introduction to AWS

  • AWS History

  • AWS Certification Path Explained

  • AWS Global Infrastructure

      • Regions and Availability Zones

      • AWS Edge Locations

  • Security

      • Physical Access & Security Certification

      • Shared Security Responsibility

      • Identity and Access Management (IAM)

LAB

Explore AWS documentation

Module 04 - AWS Fundamentals - Getting started with AWS

  • This module provides a streamlined overview of many AWS services, and guides you with hands-on exercises to deploy your very first services for free.

  • from creating free signup to licensing models, account types, support modules you will complete understanding also managing AWS using different GUI and CLI tools

Theory

  • AWS Services Portfolio

      • Overview of Services

      • Typical use cases

  • The AWS Free Tier

      • How to Sign up for the Free Tier

  • AWS Platform Management Options

      • GUI, CLI, Mobile App & SDK

  • AWS Support and SLA

LAB

    1. Log into AWS Management Console

    2. Review support page and learn how to submit support request

    3. Review profile information and review billing information

    4. Review free tier and understand how to check your free tier utilization

    5. Navigate between Regions and Availability Zones

    6. Navigate between different services

    7. identify notification and announcements from aws

    8. Customize the home console

    9. Connect through aws cli, fire sample commands

Module 05 - Server Evaluation & AWS Compute Options

  • AWS compute is key corner stone of aws cloud, aws administrators will spend most of their time working on compute services.

  • aws compute is also most popularly used service across the industry, this module will help you gain deep dive understanding and hands-on experience of the compute services.

Theory

  • Server Evaluation

  • Virtualization

  • AWS Virtual Machines

  • AWS Container Instances

  • AWS Kubernetes

  • AWS EB Service

  • AWS Lambda

Ability

AWS offers IaaS and PaaS primarily, it has at least 9 compute options. being AWS administrator or AWS architect you should be able to take decision on which compute option to use with proper justification.

Module 06 - AWS EC2

  • In this module you will learn virtual server concepts, hardware configuration options and pricing options.

  • you will also learn lifecycle activities like creating, resizing, deleting, updating windows and linux virtual machines.

  • you will also use command line options like AWS CLI to create and manage AWS EC2

Theory

  • Server Evaluation

      • What is Server ?

      • Difference between end user devices vs Servers?

      • Server Evaluation

  • AWS Compute Options

      • EC2, Lightsail, ECS, EKS, Lambda, Batch Elastic Beanstalk, Serverless Application repository

  • AWS EC2 Service

      • Introduction to EC2

      • Instance Types

      • Instance Price Options

      • Tenancy Options

  • Amazon Machine Image (AMI)

      • Sources of AMI

      • AMI Storage Options

LAB

  1. Explore EC2 Management Console

  2. Create Linux Instance and Connect to it (ec2-user)

      1. created key pair

      2. converted pem into ppk

  3. Create Windows Instance and Connect to it

      1. use pem file to get windows password

  4. see metadata information

  5. work with tags

  6. Working with Filters

  7. Public IP, Private IP, and EIP

  8. Termination Protection

  9. how to change instance type

Module 07 - AWS Container Instances & Kubernetes

  • no doubt, industry is running after microservices, aws container instances and kubernetes are key concepts

  • in this module you will understand how servers evolved to containers and kubernetes.

  • you will also gain deep conceptual knowledge of aws containers and kubernets with hands on.

Theory

  • Create aws container instances

  • control what happens on your container exits

  • use environment variables

  • Attach data volume for data persistance

  • basic troublshooting

  • Introduction to Kubernetes

  • How aws kubernetes service works

  • when to use aws kubernetes service

LAB

  • Run aws Container Instances

  • Control restart behavior

  • Set environment variables

  • use data volumes

  • troubleshoot aws container instances

Module 08 - AWS Elastic Beanstalk

  • Elastic Beanstalk is an PaaS offerings of AWS

  • AWS EB service making developers life easy and it is reducing cost of running applications in the cloud.

  • organizations are looking for personnel with App service and cloud service, this module will add that value to your profile.

Theory

  • Introduction to Elastic Beanstalk (EB)

  • EB Terminology

  • Components of EB

  • Benefits of Elastic Beanstalk (EB)

  • How EB Works

LAB

  1. Explore EB Management console

  2. create sample applicaiton env - single instance

    • same php code

    • upload version 2 (switch between the versions of app code)

  3. Route53 Host A enntry (eb.kurela.in)

  4. Create new applicaton environment

  5. loadbalanced and autoscal env

  6. creating multi app env (Testing & Production)

  7. swaping URLS

Module 09 - AWS EBS Storage

  • In this module you will understand storage options for aws ec2 instances.

  • In this module you will identify the features and capabilities of each type of disk storage to ensure your application performance optimally.

  • you will make architectural decisions on magnetic disks and SSDs.

Theory

  • Fundamentals of Storage

  • AWS Storage Options

  • Introduction to AWS EBS

  • Benefits of AWS EBS

  • Use cases of AWS EBS

  • What's New with EBS

  • EBS Volume Types

  • EBS Elastic Volumes

  • AWS EBS Snapshot DLM

  • AWS EBS Free tier

  • EBS & Snapshot LAB

LAB

  1. Create EBS Volume

  2. Delete EBS Volume

  3. Attach volume to EC2 Instance and create file system

  4. Extend the volume and configure the same in OS

  5. Copy EBS Volume to different location

  6. EBS Snapshot

  7. write snapshot lifecycle policy (DLM)

Module 10 - AWS S3 Storage

  • In this module, you will learn how to manage object storage option of aws cloud.

  • almost all aws customers uses S3 storage so it is surely critical service to learn and to get hands-on.

  • In this module you will gain very good understanding on basic features like buckets, regions, objects, keys durability, data consistency etc..

  • In this module you will gain deep dive knowledge into different S3 storage classes like standard, IA, RRS, Glacier etc..

  • In this module you will gain deep dive knowledge and hands-on experience on to advanced features like lifecycle management, encryption, versioning etc.

Theory

  • Introduction to S3 & Use cases

  • Basics of Amazon S3

      • Buckets, Regions, Objects, Key, Object URL, Amazon S3 Operations, REST Interface, Durability and Availability, Data Consistency, Access Control, Static Website Hosting

  • S3 Storage Classes

      • S3 Standard, S3 Standard-Infrequent Access (IA), S3 Reduced Redundancy Storage (RRS), Glacier

  • Amazon S3 Advanced Features

      • Object Lifecycle management, Encryption, Versioning, Cross-Region Replication, Logging, Event Notification

LAB

  1. Create / Delete S3 Bucket

  2. upload an object

  3. Delete an object

  4. access the object using unique url

  5. make an object publicly accessible

  6. Create bucket IAM policy and apply to bucket

  7. convert bucket to static website

  8. enable versioning

  9. write sample lifecycle management policy

  10. Transfer Acceleration

  11. Cross region replication

Module 11 - AWS File Storage (file storage)

  • In this module you will learn about cloud-based file share for storing sharing files to apps.

  • file shares are one of the most commonly used service among AWS EC2 service and on-premises apps.

Theory

  • Introduction to AWS EFS Storage

  • use cases of file storage

  • security of file storage

LAB

  1. Create an Ubuntu 14 / 16 / 18 EC2 instance

  2. create efs mount (make sure security group is configured to allow communication )

  3. mount efs volume and write files into it

Module 12 - AWS VPC part 1

Networking is on of my favorite subjects as I follow it from the very roots of networking and I am VMware NSX certified which is building blocks of network virtualization and no doubt any cloud provider uses same CIDR and network virtualization concepts. I am sure that my experience will come at great use to make you understand aws networking concepts.

Theory

  • Introduction to VPC

  • VPC concepts and terminologies

      • SUBNETS (Public & Private)

      • Security groups and NACLs

      • Routing tables

      • VPC Endpoints

      • DHCP Sets and DNS

      • NAT

LAB

  1. Explore VPC Mgmt console

  2. default VPC configuration details

  3. Test the security group functionality

  4. Test the functionality of NACL

Module 13 - AWS VPC part 2

  • In this module you will learn deep dive networking concepts like peering, VPN and direct connect

  • In this module you also be doing hands-on labs of live peering and site to site vpn configuration

Theory

  • Internet Gateways

  • VPC Peering

  • VPN Connections

  • PCI DSS Compliance

  • VPC Limits

  • VPC Pricing

  • Different Ways to create VPC

LAB

  1. Create VPC using Wizard

    1. checking connectivity issues

      1. SG, NACL,IGW, Route Table

  2. Create VPC using Custom method

    1. checking connectivity issues

      1. SG, NACL,IGW, Route Table

      2. Created IGW and configured route table

      3. Created NAT GW and configured route table

      4. Create private subnet, NAT Gateway, route table and made necessary route entries

  3. VPC Peering

    1. build peering connection between two VPCs

    2. create two ec2 instances in each VPC and test connection

  4. VPN Connectivity

Module 14 - AWS Monitoring, SNS, CloudTrail

  • no matter how important the services are but the question is, are they being monitored ? what parameters / metrics are being monitored ? this module help you understand aws monitoring in deep and make setup matured monitoring solution for all your organization applications.

  • notifications are as important as monitoring so we will setup notifications to alert upon event.

  • In this module we will also setup log collection from different services like ec2 and analyze the logs.

Theory

  • SNS

  • CloudWatch

      • Monitoring Concept

      • An overview of CloudWatch

      • Concepts and terminologies

      • CloudWatch Features

      • Limits and Costs

  • Trusted Advisor

  • AWS Config

      • How it Works

  • AWS CloudTrail

      • How it Works

LAB

  1. Create SNS Subscription

  2. Explore CloudWatch Console

            • CW Logs

            • CW Metri

            • CW Ala

  3. Create an EC2 instance

            • Configure Detailed monitoring

            • Configure cpu alarm with notification

            • sudo yum install stress -y

            • sudo stress --cpu 90 --timeout 500

  4. Create Billing Alarm

  5. Create Dashboard

  6. Custom Metrics

  7. CW Logs Create Log Stream

  8. Cloud Trail

  9. Config

Module 15 - AWS High Availability Options

  • In this module you will learn about aws high availability options and take architectural decisions.

  • In this module you will learn about aws fault tolerance options and take architectural decisions.

  • in this module you will be setting up realtime working application for high availability and fault tolerance.

Theory

  • Introduction to Load Balancer

  • Introducing the Elastic Load Balancer

  • Benefits of ELB

  • Types of ELBs

      • ALB

      • NLB

      • CLB

  • Comparison of ELBs

  • Listener

  • ELB Configuration Options

  • Load Balancer Capacity Units (LCU)

  • Elastic Load Balancer Pricing

LAB

  1. create two EC2 Instance in each AZ

  2. Install Sample Application

  3. Create ELB (ALB)

    • register both EC2 instances

    • fail-over / failback

Module 16 - AWS Scalability Options

  • In this module you will learn AWS scale out and scale up options.

  • In this module you will be able to take architectural decisions on what scaling option to choose in a given application scenario.

  • In this module you will be setting up realtime working application with automatic scale out and scale in with AWS autoscaling

Theory

  • Context of AutoScaling

  • Introduction to Auto Scaling

  • Benefits of Auto Scaling

  • Auto Scaling components

      • Auto Scaling Groups

      • Launch Configurations

      • Scaling Policies

  • AutoScaling & ELB

LAB

  1. Create Launch Configuration

    • Create an AMI

  2. Create AutoScaling Group

    • configure Scaling Policy

  3. Test manual scaling

  4. Test

    • Simulate load do scale out

    • Simulate load do scale In

Module 17 - AWS DNS with Route53

  • DNS is how we remember and get connected to any website on the internet.

  • In this module you will learn how AWS Route53 is configured for different services and applications like AWS ec2, eb etc..

  • In this module you will be configuring DNS for live web application using godaddy and AWS Route 53.

Theory

  • DNS Overview

  • Introducing Amazon Route53

  • Hosted Zone

  • Resource Record Set

  • Routing traffic to AWS Resources

  • Routing Policy

  • Health Checks

LAB

  1. Explore Route53 Mgmt console

  2. Create Private Hosted Zone (google.com)

  3. Create two EC2 instances

  4. Create two host a records with private ips

      • check name resolution

  5. Create Public Hosted Zone(godaddy)

      • Check name resolution

  6. Create Health check - Failover Routing Policy

      • Primary server in Mumbai

      • Secondary server in Singapore

Module 18 - AWS IAM

  • Authentication, Authorization and Role Based Access Control is one of the critical function of IT in any organization.

  • AWS offers more secure and reliable service called IAM for user management.

  • In this module you will learn on how to create and manage single user & group, bulk users & groups.

  • In this module you will also learn on how to configure RBAC on realtime environment.

  • In this module you will learn programmatic access between aws services .

  • Introduction to IAM

  • Principals, Root, IAM and Roles

  • Roles and Security tokens

  • Authentication

  • Authorization

  • MFA

  • Permission Conflicts

LAB

  1. Explore IAM console

  2. modify the default password policy

  3. enable MFA for root account

  4. Create IAM User check permissions

  5. Create Group check permissions

  6. Create policy document and simulate permissions conflict, version control

  7. Create Access Keys and access through CLI

  8. working with roles

Module 19 - AWS CloudFormation

  • JSON is the unified language of all cloud providers today, aws provides cloudformation to support automation of workload deployment.

  • In this module you will learn creating, updating and deploying workloads using aws cloudfromation.

  • In this module you will learn creating a template from existing realtime working application.

  • AWS CloudFormation is one of the key areas to win the AWS Interviews.

Theory

  • Introduction to CloudFormation (IaaC)

  • Features and Benefits

  • CF Concepts

  • Different Ways of creating stacks/templates

  • How it Works ?

LAB

  1. Create templates

  2. Deploy templates

  3. Provide parameters

  4. Creating a template from a existing deployment

  5. Using AWS Quick start template

Module 20 - AWS Analytics (Kinesis, EMR & Data Pipeline)

  • Analytics present challenges to AWS admins to ingest realtime streaming data and performing analytics in them.

  • aws gives suite of ready to use services which helps organizations be good at insights of data.

  • this model gives you high level understanding of services like Kinesis, EMR and Data Pipeline.

Theory

  • Amazon Kinesis

      • Overview

      • Amazon Kinesis Firehose

      • Amazon Kinesis Streams

      • Amazon Kinesis Analytics

      • Use Cases

  • Amazon EMR (Elastic MapReduce)

      • Hadoop Distributed File System (HDFS)

      • EMR File System (EMRFS)

      • Use Cases

  • AWS Data Pipeline

      • Overview

      • Use Cases

LAB

  1. There are no labs in this module

Module 21 - AWS Lambda

  • Microservices are most simplified compute options available across cloud providers.

  • AWS offers Lambda that supports multiple programming languages and zero admin overhead.

  • AWS Lambda is also most cost effective and highly secure service.

Theory

  • Introduction to Lambda

  • Lambda Functions

  • Supported Platforms

  • Lambda Limitations

  • How it works

  • Lambda Use cases

  • Lambda Pricing

LAB

  1. Lambda Canary Function

    • Configure CloudWatch Schedule

    • Modify the python functions

    • Adjust function settings

    • Configure a default test

    • Review our function results

Module 22 - Coupled & Decouple Systems, SQS, SWF

  • In this module you will understand application architectures like tightly coupled and loosely coupled systems.

  • In this module you will also understand services offered by AWS to design and implement tightly / loosely coupled systems.

  • In this module you will also understand work flow service that coordinate work across different components of aws also other environments like azure / on-prem

Theory

  • Coupled & Decouple systems

  • SQS

      • Message Attributes

      • Long Polling

      • Dead Letter Queues

  • SWF

      • Workflows

      • workflow domains

      • workflow history

      • Tasks

  • CloudFront

      • Introduction to CloudFront

      • Distributions

      • Origins

      • Cache Control

LAB

  1. There are no labs in this module

Module 23 - AWS Other Important Services

  • being AWS Admin or Architect you should know maximum no of services so this module help you understand some of ready to use in memory database options like ElasticCache, Redis and Memcached.

  • In this module you will also understand easy to integrate search as a service option called CloudSearch.

  • In this module you will also understand log analytics service called ElasticSearch etc.

Theory

  • AWS ElastiCache

      • Benefits of EC

      • Redis & Memcached

  • AWS CloudSearch

  • AWS Elastic Search

  • Cloud HSM

  • AWS OpsWork

LAB

  1. there are no labs in this module

Module 24 - AWS Databases with RDS

  • Now a days databases are being provided as PaaS, AWS RDS is a PaaS offering that offers different database engines like SQL, MySQL, Aurora etc.

  • In this module you gain deep dive understanding on different databse offerings of aws cloud.

  • In this module you will deploy database, setup monitoring, configure backup, design high availability and scalability.

  • you will be able to take architectural decisions on IaaS Database vs PaaS Database.

Theory

  • An overview Database

  • Relational Database (RDBMS)

  • Data Warehouse

  • NoSQL Databases

  • Amazon RDS & Database Engines

      • Operational Benefits

      • License

  • Amazon Aurora

  • Amazon RedShift

  • Amazon DynamoDB

  • RDS Read Replicas

  • Instance State and admin tasks

      • Creating, Modifying, Backing up DB, creating Read Replicas, Cleaning the Databases

LAB

  1. create mysql db instance

  2. connect to db using an ec2

  3. create table, insert records

  4. check automated backup copies, how to restore them

  5. create read replica check if you can add records

  6. check the replication speed

  7. also create private hosted zone and create c name records

Module 25 - Realtime Project

  • This is where you put things together, this is where you apply knowledge learned in all services will be applied to setup application.

  • we will be using most of the aws services to setup working application environment.

  • In this module you will learn how to check dependency between the services.

  • In this module you will work to build highly available, highly scalable and cost effective applications in AWS Cloud.

  • This module helps in answering most of the interview questions.

  • This module helps in preparing AWS CV with realtime project.

Module 26 - Certification, CV & Interview Preparation

Theory

  • This course offers 100% certification guarantee.

  • you will have direct access to trainer and we will help you prepare winning CV.

  • ultimate target of this course is to help you clear interviews in a practical way.

    • HR call attending tips

    • Interview call attending tips


Frequently Asked Questions

What are the Pre-requisites to attend this Course?

to learn AWS admin it is advised that you know / experience infrastructure fundamentals that includes following but not limited to.

  • Server Hardware Fundamentals

  • OS (Windows / Linux) Concepts

  • Basic Networking concepts

  • Basic Storage concepts

  • Monitoring and Backup

  • Virtualization

Who Can attend this course?

  • Anybody with 15 Years of fulltime education (any graduation, any engineering and any medium)

  • Anybody with prior experience in IT as system admin, virtualization admin, network, storage, backup admin etc

  • Anybody with Non IT experience and wanted to get into IT / Cloud

  • Anybody with gap after education or after previous employment.

Do I need to know any programming language to attend this course?

  • No programming skill is not needed, basic knowledge of topics mentioned in question no 1 is enough.

Do you teach Realtime Scenarios / Realtime Projects in this training?

  • Every single session is a real time scenario

  • it also includes realtime projects that helps clear aws interviews

Do you support in preparing CV?

  • Yes, we have unique style to prepare winning CV

Do you provide placements?

  • Yes, we have JAP (Job Assistance Program) in which we recommend your profile to our clients and also we support you for your regular interviews.

  • you can take note of interview questions and can engage trainer directly

Do I get recorded videos of the course?

  • no for all the sessions by default, however you will get temp access to requested topics on-demand

What if I miss to attend the class?

  • you will get access to recorded video for a week of time.

How to practice LAB ? what software / hardware needed ?

  • all cloud providers (AWS / Azure / Google ) provides 12 Months free access to cloud, with which you will be able to practice all your labs free of cost.

  • you need basic internet connection and basic laptop (i3 cpu / 4gb ram).

Still have questions ? Call / WhatsApp @ +91-7680075550

or register below