AWS Cloud

(Batches Start from 14th & 28th November 2022)

About The Program:

With the belief to build a healthy ecosystem as per the Industry Standards REGex Software brings a Industrial Training/Internship Program on “AWS Cloud”. We organize Industrial Training/Internship Program for improving the knowledge and skills of the Students/Professionals, so that they can become expert in the field of AWS Cloud and get their Dream Job in Software Development Field in Big MNCs.

REGex Software Services’s AWS Cloud course is a valuable resource for beginners and experts. This course will introduce you to Connecting, Managing, Deploying and Updating Cloud from Basics to Advance. If you want to become AWS Certified Solution Architect, REGex introduce this course for you.

Timing

Offline: 04:00 PM – 06:00 PM //
05:00 PM – 07:00 PM
Online: 09:00 PM – 11:00 PM

Location

Jaipur
or 
Google Meet

Duration

45 – 50 Days

Participants

30 per Batch

What People Tell About Us

What you will Learn

  • AWS Foundations and Services
  • AWS Security & Costs
  • AWS Cloud Services Overview
  • Compute Services Design, Implementation & Management
  • Identity and Access Management (IAM)
  • Auto Scaling Solutions
  • Virtual Network Services – DNS

  • AWS Application Deployment
  • AWS Database Design & Deployment
  • Additional AWS Services

Study Material

  • E-Notes
  • Assignments per day
  • Weekly Tests
  • 80+ hours on demand Live Video Lectures
  • 24*7 Mentorship Support
  • Working on Live Projects

Output

  • Able to think out of the box
  • Work on multiple projects and Opportunity to get Internship in REGex or in any other Other company through us
  • Become ready for AWS Solution Architect Certification
  • Min Annual Salary of cloud Architect is ₹6.6 LPA

Live Sessions

Live Sessions by Expertise Trainers and Access of Recorded Session is also available

Live Projects

Get a chance to work on Industry Oriented Projects to implement your learning

24*7 Support

24*7 Mentorship Support available for all Students to clear all of your doubts

Opportunities

REGex provides Internship / Job opportunities to the best Students in different Companies.

Our Students Placed In

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Course Content

Linux & Python

  • Introduction to LINUX Operating System and Basic LINUX commands
  • Operating System
  • Basic LINUX Commands
  • LINUX File System
  • File Types
  • File Permissions
  • File Related Commands
  • Filters
    o Simple Filters
    o Advanced Filters
  • Python Basics
  • Data Types
  • OOPS Concept
  • Functions
  • Conditional Statement & Loops
  • Python Libraries

AWS Solution Architect

1. Design Secure Architectures Task Statement

  • Access controls and management across multiple accounts
  • AWS Identity and Access Management [IAM], AWS Single Sign-On [AWS SSO]
  • AWS global infrastructure (for example, Availability Zones, AWS Regions)
  • AWS security best practices (for example, the principle of least privilege)
  • The AWS shared responsibility model Skills in:
  • Applying AWS security best practices to IAM users and root users (for example, multi-factor authentication [MFA])
  • Designing a flexible authorization model that includes IAM users, groups, roles, and policies
  • Designing a role-based access control strategy (for example, AWS Security Token Service [AWS STS], role switching, cross-account access)
  • Designing a security strategy for multiple AWS accounts (for example, AWS Control Tower, service control policies [SCPs])
  • Determining the appropriate use of resource policies for AWS services
  • Determining when to federate a directory service with IAM roles Task Statement
  • Application configuration and credentials security
  • AWS service endpoints
  • Control ports, protocols, and network traffic on AWS
  • Secure application access
  • Security services with appropriate use cases (for example, Amazon Cognito, Amazon GuardDuty, Amazon Macie)
  • Threat vectors external to AWS (for example, DDoS, SQL injection) Skills in:
  • Designing VPC architectures with security components (for example, security groups, route tables, network ACLs, NAT gateways)
  • Determining network segmentation strategies (for example, using public subnets and private subnets)
  • Integrating AWS services to secure applications (for example, AWS Shield, AWS WAF, AWS SSO, AWS Secrets Manager)
  • Securing external network connections to and from the AWS Cloud (for example, VPN, AWS Direct Connect)
  • Data access and governance
  • Data recovery
  • Data retention and classification
  • Encryption and appropriate key management Skills in:
  • Aligning AWS technologies to meet compliance requirements
  • Encrypting data at rest (for example, AWS Key Management Service [AWS KMS])
  • Encrypting data in transit (for example, AWS Certificate Manager [ACM] using TLS)
  • Implementing access policies for encryption keys
  • Implementing data backups and replications
  • Implementing policies for data access, lifecycle, and protection
  • Rotating encryption keys and renewing certificates

2. Design Resilient Architectures

  • API creation and management (for example, Amazon API Gateway, REST API)
  • AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon Simple Queue Service [Amazon SQS], Secrets Manager)
  • Caching strategies
  • Design principles for microservices (for example, stateless workloads compared with stateful workloads)
  • Event-driven architectures
  • Horizontal scaling and vertical scaling
  • How to appropriately use edge accelerators (for example, content delivery network [CDN])
  • How to migrate applications into containers
  • Load balancing concepts (for example, Application Load Balancer)
  • Multi-tier architectures
  • Queuing and messaging concepts (for example, publish/subscribe)
  • Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda)
  • Storage types with associated characteristics (for example, object, file, block)
  • The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS], Amazon Elastic Kubernetes Service [Amazon EKS])
  • When to use read replicas
  • Workflow orchestration (for example, AWS Step Functions)
  • AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53)
  • AWS managed services with appropriate use cases (for example, Amazon Comprehend, Amazon Polly)
  • Basic networking concepts (for example, route tables)
  • Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby, active-active failover, recovery point objective [RPO], recovery time objective [RTO])
  • Distributed design patterns
  • Failover strategies
  • Immutable infrastructure
  • Load balancing concepts (for example, Application Load Balancer)
  • Proxy concepts (for example, Amazon RDS Proxy)
  • Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment)
  • Storage options and characteristics (for example, durability, replication)
  • Workload visibility (for example, AWS X-Ray) Skills in:
  • Determining automation strategies to ensure infrastructure integrity
  • Determining the AWS services required to provide a highly available and/or fault-tolerant architecture across AWS Regions or Availability Zones
  • Identifying metrics based on business requirements to deliver a highly available solution
  • Implementing designs to mitigate single points of failure
  • Implementing strategies to ensure the durability and availability of data (for example, backups)
  • Selecting an appropriate DR strategy to meet business requirements
  • Using AWS services that improve the reliability of legacy applications and applications not built for the cloud (for example, when application changes are not possible)
  • Using purpose-built AWS services for workloads

3. Design High-Performing Architectures

  • Hybrid storage solutions to meet business requirements
  • Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS])
  • Storage types with associated characteristics (for example, object, file, block) Skills in:
  • Determining storage services and configurations that meet performance demands
  • Determining storage services that can scale to accommodate future needs
  • AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate)
  • Distributed computing concepts supported by AWS global infrastructure and edge services
  • Queuing and messaging concepts (for example, publish/subscribe)
  • Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling)
  • Serverless technologies and patterns (for example, Lambda, Fargate)
  • The orchestration of containers (for example, Amazon ECS, Amazon EKS) Skills in:
  • Decoupling workloads so that components can scale independently
  • Identifying metrics and conditions to perform scaling actions
  • Selecting the appropriate compute options and features (for example, EC2 instance types) to meet business requirements
  • Selecting the appropriate resource type and size (for example, the amount of Lambda memory) to meet business requirements
  • AWS global infrastructure (for example, Availability Zones, AWS Regions)
  • Caching strategies and services (for example, Amazon ElastiCache)
  • Data access patterns (for example, read-intensive compared with write-intensive)
  • Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
  • Database connections and proxies
  • Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
  • Database replication (for example, read replicas)
  • Database types and services (for example, serverless, relational compared with non-relational, in-memory)
  • Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator)
  • How to design network architecture (for example, subnet tiers, routing, IP addressing)
  • Load balancing concepts (for example, Application Load Balancer)
  • Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink)
  • Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon QuickSight)
  • Data ingestion patterns (for example, frequency)
  • Data transfer services with appropriate use cases (for example, AWS DataSync, AWS Storage Gateway)
  • Data transformation services with appropriate use cases (for example, AWS Glue)
  • Secure access to ingestion access points
  • Sizes and speeds needed to meet business requirements
  • Streaming data services with appropriate use cases (for example, Amazon Kinesis) Skills in:
  • Building and securing data lakes
  • Designing data streaming architectures
  • Designing data transfer solutions
  • Implementing visualization strategies
  • Selecting appropriate compute options for data processing (for example, Amazon EMR)
  • Selecting appropriate configurations for ingestion
  • Transforming data between formats (for example, .csv to .parquet)

4. Design Cost-Optimized Architectures

  • Access options (for example, an S3 bucket with Requester Pays object storage)
  • AWS cost management service features (for example, cost allocation tags, multi-account billing)
  • AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
  • AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS)
  • Backup strategies
  • Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types)
  • Data lifecycles
  • Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
  • Storage access patterns • Storage tiering (for example, cold tiering for object storage)
  • Storage types with associated characteristics (for example, object, file, block)
  • AWS cost management service features (for example, cost allocation tags, multi-account billing)
  • AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
  • AWS global infrastructure (for example, Availability Zones, AWS Regions)
  • AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
  • Distributed compute strategies (for example, edge processing)
  • Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
  • Instance types, families, and sizes (for example, memory optimized, compute optimized, virtualization)
  • Optimization of compute utilization (for example, containers, serverless computing, microservices)
  • Scaling strategies (for example, auto scaling, hibernation)
  • AWS cost management service features (for example, cost allocation tags, multi-account billing)
  • AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
  • Caching strategies
  • Data retention policies
  • Database capacity planning (for example, capacity units)
  • Database connections and proxies
  • Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations)
  • Database replication (for example, read replicas)
  • Database types and services (for example, relational compared with non-relational, Aurora, DynamoDB)
  • AWS cost management service features (for example, cost allocation tags, multi-account billing)
  • AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
  • Load balancing concepts (for example, Application Load Balancer)
  • NAT gateways (for example, NAT instance costs compared with NAT gateway costs)
  • Network connectivity (for example, private lines, dedicated lines, VPNs)
  • Network routing, topology, and peering (for example, AWS Transit Gateway, VPC peering)
  • Network services with appropriate use cases (for example, DNS)

Extra Sessions

Additinal Session on GIT, Linux, Docker, AWS Basics, Jenkins and many more for all students.

Fee Structure

Indian Fee

Price: ₹59999/- (Flat 75% off) => ₹14,999/- 

International Fee

Price: $1200 (Flat 75% off) => $300 

Fee can be paid in No Cost EMI @2500/month

Cashback Policy

  • You will get your Unique Referral Code after successful paid registration.
  • You will get ₹1500 Cashback directly in your account for each paid registration from your Unique Referral Code on 30th November, 2022(After Closing Registrations of this program) .
  • For Example:- If we received 10 paid registration from your Unique Referral Code then you will receive ₹1500*10 = ₹15,000 on 30th November, 2022.
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(Batches Start from 14th & 28th November 2022)

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**Extra off is applicable on 1 time payment only. Seats can be filled or Price can be increased at any time. Refund policy is not available*