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
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
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
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
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
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
MODULE 1: INTRODUCTION
Introduction to Cloud Computing
Why Cloud Computing?
Benefits of Cloud Computing
Types of Cloud Computing
Introduction to AWS
Regions and Availability Zones – How to choose the right one
MODULE 2: ELASTIC COMPUTE CLOUD (EC2)
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
MODULE 3: AMAZON ELASTIC BLOCK STORE (EBS)
Creating and deleting volumes
Attaching and detaching volumes
Mounting and Un mounting the attached volume
Creating volumes from snapshots
MODULE 4: SIMPLE STORAGE SERVICE (S3)
Creating and deleting buckets
Adding objects to buckets
Bucket Permissions / Versioning / lifecycle
MODULE 5: CLOUD WATCH
Monitoring the AWS Service Health Dashboard
Using Cloud watch for Monitoring
Setting up your metrics
Setting up notifications
Creating Alarms/ Events
MODULE 6: ELASTIC LOAD BALANCER (ELB)
Creating the ELB
Installing the SSL
Load Balancing with EC2
MODULE 7: IDENTITY AND ACCESS MANAGEMENT (IAM)
IAM Console and Sign in
Identities ( User, Group, Roles)
Permissions and policies
MODULE 8: DATABASE IN AWS –RELATIONAL DATABASE SERVICE (RDS) AND NOSQL DATABASE
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
MODULE 9: VIRTUAL PRIVATE CLOUD (VPC)
VPC Wizard Scenarios for Amazon VPC
Your VPC and Subnets
Your Default VPC and Subnets
Security in Your VPC
Networking in Your VPC
MODULE 10: AUTO SCALING
Get Set Up With Auto Scaling Interfaces
Get Started with Auto Scaling Using the Console
Maintain a Fixed Number of Running EC2 Instances
MODULE 11: AMAZON CLOUD FRONT
How Cloud Front Delivers Content
Locations and IP Address Ranges of Cloud Front Edge Servers
Working with Distributions
Working with Objects
MODULE 12: SIMPLE QUEUE SERVICES /SIMPLE NOTIFICATION SERVICE/SIMPLE WORKFLOW
Setting up Amazon SNS
Verifying Email Addresses and send notification on that
MODULE 13: AWS SECURITY MANAGEMENT
Access Control List
MODULE 14: ROUTE 53
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
MODULE 15: AWS CLOUD OBJECT AND STORAGE
Creating simple storage service (S3)
S3 Version control and lifecycle
Content delivery network
MODULE 16: AWS SERVICE OVERVIEW
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 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
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.