+91-8594840567 / +91-7760678612 hr@sdlctraining.in

SDLC Training institute based in Marathahalli Bengaluru offers the best AWS course training, read the entire article to further understand the importance of the subject and why you should get trained from us to sky rocket your career to next level.


We have also provided valuable content about Amazon Web Services to any one searching about it online to know what it is all about and we hope you receive something of value from our blog post, read on.


What Is AWS Course?


Amazon Web Services (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.


These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools.


So you will be trained on all these aspects of AWS in the AWS course offered by SDLC training institute based in marathahalli, bengaluru.


AWS Jobs In Bangalore

aws jobs in bangalore


There are over 9,500 jobs available in bengaluru for Amazon Web Services, so get trained from SDLC training institute and grab this golden job opportunity to work in an MNC with a significant package.


SDLC provides AWS training with placement and SDLC is a AWS authorized training partner in Bangalore with close to a decade of experience providing IT training.


SDLC training provides best AWS course in Bangalore along with AWS course online and the amazon web services training cost price is negotiable, Just Call Us : 8494840567, 9611546204 for Best AWS training in Marathahalli, Bangalore.


AWS Tutorial For Beginners

best aws tutorial for beginners bangalore sdlc

Get the best MEAN Stack tutorial for beginners both online and offline with lifetime support from SDLC training institute based in Bengaluru.


Amazon Web Services Logo


aws logo transparent

amazon aws logo








Above we have put up the logo of Amazon Web Services, with two options to choose from, we hope you find it useful in your projects.


AWS Services List

aws services list


Here we have listed almost all the services offered by AWS until now, as they keep updating their services by adding new one we will doing the same in this article as well.


Analytics: Amazon Athena, CloudSearch, Elasticsearch Service, EMR, Kinesis, Managed Streaming for Apache Kafka, Redshift, QuickSight, AWS Data Exchange, Data Pipeline, Glue, Lake Formation.


Application Integration: AWS Step Functions, Amazon AppFlow, Amazon EventBridge, Managed Workflows for Apache Airflow, Amazon MQ, Simple Notification Service (SNS), Simple Queue Service(SQS), Amazon AppSync


AWS Cost Management: AWS Cost Explorer, Budgets, Cost and Usage Budgets, Reserved Instance Reporting, Savings Plans


Blockchain: Amazon Managed Blockchain, Quantum Ledger Database (QLDB)


Business Applications: Alexa for Business, Amazon Chime, Honeycode, WorkDocs, WorkMail



Compute: Amazon EC2, Auto Scaling, Lightsail, AWS Batch, Elastic Beanstalk, Lambda, Outposts, Serverless Application Repository. Snow Family, Wavelength, VMware Cloud on AWS


Containers: Amazon Elastic Container Registry, Elastic Container Service, ECS Anywhere, Elastic Kubernetes Service, EKS Anywhere, EKS Distro, App2Container, Fargate, Red Hat OpenShift Service on AWS


Customer Engagement: Amazon Connect, Pinpoint, Simple Email Service(SES)


Database: Amazon Aurora, Aurora Serverless v2, DynamoDB, ElastiCache, Keyspaces(for Apache Cassandra), Neptune, Quantum Ledger Database(QLDB), Amazon RDS, RDS on VMware, Redshift, Timestream, Database Migration Service, Glue


Developer Tools: Amazon CodeGuru, Corretto, AWS Cloud Development Kit(CDK), Cloud9, CloudShell, CodeArtifact, CodeBuild, CodeCommit, CodeDeploy, CodePipeline, CodeStar, Command Line Interface, Device Farm, Fault Injection Simulator, Tools and SDKs, X-Ray


End User Computing: Amazon AppStream 2.0, WorkDocs, WorkLink, WorkSpaces


Front-End Web & Mobile: AWS Amplify, Amazon API Gateway, Location Service, Pinpoint, AppSync, Device Farm


Game Tech: Amazon GameLift, Lumberyard


Internet of Things: AWS ioT Core, Greengrass, IoT 1-Click, IoT Analytics, IoT Button, IoT Device Defender, IoT Device Management, IoT Events, IoT SiteWise, IoT Things Graph, Partner Device Catalog, FreeRTOS


Machine Learning: Amazon SageMaker, Augmented AI, CodeGuru, Comprehend, DevOps Guru, Elastic Inference, Forecast, Fraud Detector, Kendra, Lex, Lookout for Equipment, Lookout for Metrics, Lookout for Vision, Monitron, Personalize, Polly, Rekognition, SageMaker Data Wrangler, SageMaker Ground Truth, Textract, Translate, Transcribe, AWS Deep Learning AMIs, Deep Learning Containers, DeepComposer, DeepLens, DeepRacer, Inferentia, Panorama, PyTorch on AWS, Apace MXNet on AWS, TensorFlow on AWS


Management & Governance: Amazon CloudWatch, AWS Auto Scaling, Chatbot, CloudFormation, CloudTrail, Command Line Interface, Compute Optimizer, AWS Config, Control Tower, Console Mobile Application, Distro for OpenTelemetry, License Manager, Management Console, Managed Services for Grafana, Prometheus, AWS OpsWorks, Organizations, Personal Health Dashboard, Proton, Service Catalog, Systems Manager, Trusted Advisor, Well-Architected Tool


Media Services: Amazon Elastic Transcoder, Interactive Video Service, Kinesis Video Streams, Elemental MediaConnect, MediaConvert, MediaLive, MediaPackage, MediaStore, MediaTailor, Appliances & Software


Migration & Transfer: AWS Migration Hub, Application Discovery Service, Database Migration Service, DataSync, Server Migration Service, Snow Family, Transfer Family, CloudEndure Migration, Migration Evaluator


Networking & Content Delivery: Amazon VPC, API Gateway, CloudFront, Route 53, PrivateLink, App Mesh, Cloud Map, Direct Connect, Global Accelerator, Transit Gateway, Load Balancing


Quantum Technologies: Amazon Braket


Robotics: AWS RoboMaker


Satellite: AWS Ground Station


Security, Identity & Compliance: AWS Identity & Access Management, Cognito, Detective, GuardDuty, Inspector, Macie, Artifact, Audit Manager, Certificate Manager, CloudHSM, Directory Service, Firewall Manager, Key Management Service, Network Firewall, Resource Access Manager, Secrets Manager, Security Hub, Shield, Single Sign-On, WAF


Serverless: AWS Lambda, Amazon API Gateway, DynamoDB, EventBridge, Simple Notification Service(SNS), Simple Queue Service(SQS), Simple Storage Service (S3), AWS AppSync, Fargate, Step Functions


Storage: Amazon Simple Storage Service(S3), Elastic Block Store(EBS), Elastic File System(EFS), FSx for Lustre, FSx for Windows File Server, S3 Glacier, Backup, Snow Family, Storage Gateway, CloudEndure Disaster Recovery


VR & AR: Amazon Sumerian


What is Amazon Web Services?

Amazon web service is a platform that offers flexible, reliable, scalable, easy-to-use and cost-effective cloud computing solutions.

AWS is a comprehensive, easy to use computing platform offered by Amazon. The platform is developed with a combination of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings.


AWS Job Oriented Companies Hiring in India


Here we have listed top 10 companies hiring for AWS trained candidates, we hope you get placed among one of this reputed companies, once you get trained from SDLC training, we believe you definitely will


McAfee Software (India) Pvt. Ltd

Global Logic India Ltd

Doubleslash Software Solutions Pvt Ltd

Amdocs Development Center India Pvt. Ltd.

Model N India Software Pvt. Ltd.

Diverse Lynx

EPAM Systems India Private Limited


US Technology International Pvt Ltd

Guidehouse India Private Limited


Which Course Is Better AWS or DevOps ?

which course is better aws or devops





AWS is a platform which offers various services to help customers concentrate only on their application (product), while managing software and other entities required to run your application is all done by AWS.


All you have to do is create an AWS account, select the services, configure them to create an infrastructure and deploy your application


DevOps is the one which builds a bridge between the development and operation teams for faster release of products to market.


It makes use of set of tools like jenkins, Nagios, puppet, chef, Ansible and many more to support its lifecycle of commit, Build, deploy pipeline.


All you have to do is integrate these tools, deploy your application via pipeline


Both these terminologies are used for quicker development of product along with ease and proper management. So I would suggest you to learn both and become a AWS Certified DevOps Engineer


There is no proper comparison between DevOps and AWS as DevOps is a methodology to automate every aspect of our software delivery Lifecycle


And AWS is part of DevOps Lifecycle it’s used mostly to provide the infrastructure to deploy or test our application,

You can understand it this way that whenever a Software is created there various stages


Writing, Testing, Deploying, Monitoring, Providing feedback

On a software and DevOps methodology is used to automate all these steps by using various DevOps Tools like Git, Docker, Kubernetes, Ansible, Jenkins, Jira, SonarQube, Splunk etc.


AWS is also used in DevOps to provide infrastructure to deploy our application,

And now a days AWS is much more than Infrastructure provider, it also provide some tools of DevOps which are created by AWS itself like “CodeDeploy”, “CodePipeline”, “CodeCommit” etc.


AWS is also used most of the time in DevOps as most of the DevOps tool provide easy integration with AWS as there are so many predefined modules and Plugins available for AWS integration with other Tools.


So I will suggest that the right Question will be “How easy it become to apply DevOps Methodology using AWS”.


AWS Course Content

aws course content






  • Introduction to Cloud Computing

  • Why Cloud Computing?

  • Benefits of Cloud Computing

  • Types of Cloud Computing

  • Public Cloud

  • Private Cloud

  • Hybrid Cloud

  • Introduction to AWS

  • Regions and Availability Zones – How to choose the right one


  • Instance Types

  • Amazon Machine Images (AMI)

  • Launching an instance – How to choose the right instance type

  • Security via Key Pairs

  • Working with the Security Group

  • Assigning Elastic IPs

  • Logging into the instance

  • Choosing the right AMI

  • Creating your own AMI


  • Creating and deleting volumes

  • Attaching and detaching volumes

  • Mounting and Un mounting the attached volume

  • Creating snapshots

  • Creating volumes from snapshots


  • Creating and deleting buckets

  • Adding objects to buckets

  • Getting objects

  • Deleting objects

  • Bucket Permissions / Versioning / lifecycle


  • Monitoring the AWS Service Health Dashboard

  • Using Cloud watch for Monitoring

  • Setting up your metrics

  • Setting up notifications

  • Creating Alarms/ Events


  • Creating the ELB

  • Health Checks

  • Installing the SSL

  • Load Balancing with EC2


  • IAM Console and Sign in

  • Identities ( User, Group, Roles)

  • Security Credentials

  • Permissions and policies


  • Selecting the Engine

  • Configuring the Database Engine

  • Creating your Database

  • Setting up automatic backups

  • Authorizing access to the DB via DB Security Groups

  • NoSQL –DynamoDB , Redshift


  • VPC Wizard Scenarios for Amazon VPC

  • Your VPC and Subnets

  • Your Default VPC and Subnets

  • Security in Your VPC

  • Networking in Your VPC


  • Get Set Up With Auto Scaling Interfaces

  • Get Started with Auto Scaling Using the Console

  • Maintain a Fixed Number of Running EC2 Instances

  • Dynamic Scaling

  • Scheduled Scaling


  • How Cloud Front Delivers Content

  • Locations and IP Address Ranges of Cloud Front Edge Servers

  • Working with Distributions

  • Working with Objects


  • Setting up Amazon SNS

  • Verifying Email Addresses and send notification on that


  • Access Control List

  • NATs

  • Security groups


  • Registering Domain Names

  • Configuring Amazon Route 53 as Your DNS Service

  • Working with Public/Private Hosted Zones

  • Working with Resource Record Sets

  • Using Traffic Flow to Route DNS Traffic

  • Health Checks and DNS Failover


  • Creating simple storage service (S3)

  • S3 Version control and lifecycle

  • Content delivery network

  • Cloud front.


  • Architecting for the AWS Cloud Best Practices

  • Overview of Security Processes

  • Storage Options in the Cloud

  • Objectives of the course

  • To gain fundamental understanding of AWS cloud technologies

  • Be able to start a Windows or Linux server in the cloud with its own private address

  • Be able to startup a CRM / Word Press / etc. website hosted in cloud

  • Be able to start a highly scalable MySQL or Oracle database in the cloud.

  • Be able to setup a load-balancer in the cloud

  • Be able to understand the redundancy, fault-tolerance and high availability requirements of a web application


AWS Course Details Including AWS Course Fees Details

Demo Class : Free Demo Session, Flexible Timings

Free Class : Attend 3 Free Classes to check training Quality

Regular : 2 Hours per day

Fast Track : 2 – 3 Hours per day: 10 days

Weekdays : Available

Weekend : Available

Online Training : Available

Class Room Training : Available

Course Fee : Talk to our Customer Support

Duration : 30 Hours

Call Us: 8494840567, 9611546204



AWS Certification

aws certification


AWS Certifications enable you to gain recognition for your knowledge and skills in working with AWS services.


Additionally, preparing for certification requirements provides an opportunity to expand your expertise working with AWS services.


You will receive a certification credential which is a logo badge and title that may be used in business cards and other collateral to show that you are AWS Certified.


AWS provides cloud computing services that enable a business to build sophisticated and scalable applications.


Therefore knowledge about these services and learning how to work with them on the Cloud is crucial for businesses and Professionals who are or will be working on the cloud.


Learn AWS from SDLC Training

  • Get 100% Job Guarantee Program | 5 + Lakhs per Annum Salary Packages

  • 3 to 4 month plus training according to student knowledge

  • Become a job ready AWS expert

  • Every week we will be starting fresh batches,

  • Limited Number of Seats is Available, so register now

  • Program Duration will be 6 to 8 Hours a Week

  • Learning Format will be Both Online and Classroom.

  • World Class Online Classes

  • Live Class Recording will be provided

book a demo class for aws sdlc








Important Features

  • Industry Recognized Certifications

  • Duration is based on learning of student

  • Expert training quality

  • Projects Suitable for Present Industry Requirements

  • Lifetime access to high quality course content

  • In demand industry tools and skills

  • Group Discussions for Deeper Learning

  • 24*7 Online and Classroom Assistance Available

Why SDLC training Institute is The Best AWS Training Institute in Bangalore with Placement

  • Because we provide full practical and full real-time training.

  • Assessment will be conducted for each module,

  • Resume preparation with project explanation

  • Will be conducting interview after course completion.

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