AWS Cloud With DevOps Specialization

(Batches Start from 8th, 19th, 29th January 2024)

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 With DevOps”. 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, Docker, Kubernetes, Ansible, Jenkins (CI/CD), Terraform from Basics to Advance. If you want to become AWS Certified Solution Architect, REGex introduce this course for you.

Weekly Duration

20 Hours Per week

Location

Physical (Jaipur)
or 
Online (Google Meet)

Duration

8 Months

Participants

25 – 30 per Batch

What you will Learn

AWS

Linux

Python

Docker

Kubernetes

Ansible

Chef

Jenkins

Terraform

Openshift

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
  • Learn different Devops Tools like Docker, Kubernetes, Ansible, Terraform, Jenkins etc.

Study Material

  • E-Notes
  • Assignments per day
  • Weekly Tests
  • 50+ hours on demand Live Video Lectures
  • Offline Access of Lecture Videos & Notes
  • 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
  • Expertise in different Devops Tools like Docker, Kubernetes, Ansible, Terraform, Jenkins etc.
  • Min Annual Salary of cloud Architect is ₹5 LPA

Why Choose Us

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.

Placement Opportunities in Companies

You can get Internship/Training Opportunities to get placed in HP, DELL, Honeywell, Rightpoint, Frontdoor, Fractal and many more according to your performance.

Package Offered So Far

5 LPA
8 – 10 LPA
32 LPA

Placement Process

  • We’ll train you from first week and TEAM will analyze your performance according to your Assignments & projects.
  • It’s compulsory to complete 75 – 80% assignments and tests to get Placement Opportunities.
  • You will work on different projects with your team with Mentorship Support.
  • After Completion of 6.5th – 7th month, TEAM will guide you about resume making and Team will take your resumes and analyze it accordingly.
  • After this process you will get details about the further process of exam according to your performance and company’s requirement.
  • You will get Opportunities back to back from REGex End via a mail according to your performance.
 
Important Note: This is Placement Assured program and you will get 6 month more assistance after completion of the program. If you will successfully completed the program and still didn’t get placed within 6 months after completion then you will get 100% Fee refund with 9% interest from REGex.

Placed Students//Partnership

What People Tell About Us

Placed Students

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)

DevOps

  • DevOps Culture
  • Concepts and Practices
  • DevOps Tools
  • DevOps and Cloud

DevOps Continue

  • What and Why?
  • Ad-hoc Commands
  • Playbooks
  • Facts
  • Handlers
  • What and Why?
  • Basics
  • Tools used
  • Real world use-cases
  • Containers in Cloud
  • Introduction
  • Behind the scenes
  • Basics
  • Networking
  • Storage
  • Dockerfile
  • Managing Containers
  • Docker-compose
  • Introduction to Docker Swarm
  • Security
  • Introduction
  • Setup
  • What is CI/CD?
  • Jenkins GUI
  • Plugins
  • Jobs
  • Build Agents
  • SCM with Jenkins
  • Upstream and Downstream
  • Introduction to Jenkins CLI
  • Introduction
  • Basic Concepts
  • Pods
  • Replication controller and Replica-Sets
  • Deployment
  • Services
  • Kubernetes in Cloud
  • Networking
  • Storage
  • Scaling
  • Authentication
  • Introduction to IAAC
  • Understanding Terraform format
  • Variables
  • States
  • Loops
  • Terraform with AWS
  • Terraform IAM
  • Terraform S3
  • Terraform EC2
  • Modules
  • Introduction to OpenShift and its key features.
  • Understanding the architecture of OpenShift.
  • Installation of OpenShift cluster.
  • Configuring and managing OpenShift nodes.
  • Understanding containerization concepts.
  • Docker basics: images, containers, and Dockerfile.
  • Integration of Docker with OpenShift.
  • Deployment of applications on OpenShift.
  • Working with pods, services, and replication controllers.
  • Networking concepts in OpenShift.
  • Configuring routes, services, and ingress controllers.
  • Secure communication within an OpenShift cluster.
  • Role-based access control (RBAC) in OpenShift.
  • Monitoring and logging in OpenShift.
  • Backup and recovery strategies.
  • OpenShift updates and maintenance.
  • Introduction to Chef and its role in managing infrastructure
  • Key concepts: Nodes, Cookbooks, Recipes, and Resources
  • Installing and configuring Chef Server
  • Setting up Chef Workstation
  • Connecting nodes to Chef Server
  • Integration with AWS services
  • Creating and managing EC2 instances using Chef
  • Configuring networking, security groups, and other AWS resources
  • Integrating Chef with CI/CD pipelines
  • Automating deployments with tools like Jenkins or AWS CodePipeline
  • Rollback strategies and versioning
  • Managing complex infrastructures with Roles and Environments
  • Implementing custom resources and libraries
  • Chef best practices and troubleshooting techniques

Extra Sessions

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

Fee Structure

Indian Fee

Price: ₹59,999/- (Flat 75% off) => ₹50,000/-  
(Limited Period Special Offer)

International Fee

Price: $1200 (Flat 75% off) => $300
(Limited Period Special Offer)

Fee Can be Paid as No Cost EMI @2500/Month

Cashback Policy

  • You will get your Unique Referral Code after successful paid registration.
  • You will get ₹2000 Cashback directly in your account for each paid registration from your Unique Referral Code on monthly basis(After Closing Registrations of this program) .
  • For Example:- If we received 10 paid registration from your Unique Referral Code then you will receive ₹2000*10 = ₹20,000 on monthly basis.

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Enroll Now

(Batches Start from 8th, 19th, 29th January 2024)

*It will help us to reach more
*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*