AWS Cloud Specialization With DevOps Placement Guaranteed Program

AWS Cloud With DevOps Internship and Training Program

(Batches Start from April, May, June 2025)

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.

April Batches Dates

Batch 1: 07^thApril 2025Batch 2: 14^thApril 2025 Batch 3: 21^st April 2025Batch 4: 28^thApril 2025

May Batches Dates

Batch 1: 05^th May 2025Batch 2: 12^th May 2025Batch 3: 19^th May 2025Batch 4: 26^th May 2025

June Batches Dates

Batch 1: 02^nd June 2025Batch 2: 09^th June 2025Batch 3: 16^th June 2025Batch 4: 23^rd June 2025Batch 5: 30^th June 2025

Weekly Duration

20 Hours Per week

Location

Physical (Jaipur)or Online (Google Meet)

Duration

8 Months + 6 Months Support

Participants

25 – 30 per Batch

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
300+ 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

- At REGex Software, we are committed to providing a structured and results-driven training approach to ensure your career success.
  - 🔹 Training & Performance Analysis:
    - Your training will begin from day 1 of your joining, focusing on hands-on learning and practical implementation.
    - Our team will analyze your performance based on assignments, projects and weekly assessments from the second week onwards and we will provide weekly feedback to help you improve.
    🔹 Mandatory Criteria for Placement Opportunities:
    To be eligible for placement opportunities, you must meet the following criteria:
    ✅ 80% attendance in live training sessions.
    ✅ 80% completion and timely submission of assignments & projects.
    ✅ 80% attendance in assessments, including tests, mock interviews, HR interviews and group discussions.
    🔹 Resume Preparation & Placement Process:
    - Between 5.5 to 6 months, our team will provide guidance on resume building and evaluate your resumes accordingly.
    - After completing 75-80% of the program, you will receive details about the placement opportunities based on your performance and company requirements.
    - Placement opportunities will be provided continuously via email, calls and WhatsApp groups, depending on your performance.
    🔹 Placement Assurance & Refund Policy:
    - This is a Placement Assured Program, with an additional 6-month post-program assistance.
    - If you successfully complete the program but do not secure a placement within 6 months after program completion, you will receive a 100% fee refund with 9% interest.
    🔹 Our Commitment to Your Success:
    At REGex Software, Placement Assurance = Skills + Opportunities.
    We equip you with industry-relevant skills and provide continuous job opportunities based on your performance. However, it is the student’s responsibility to crack interviews and enhance their skills based on feedback.
    For additional support, we offer the flexibility to rejoin previous batches to reinforce concepts and improve understanding.We are dedicated to your career success! 🚀

Placed Students//Partnership

What People Tell About Us

Placed Students

Gunjan Saini National Instruments — Gunjan Saini
National Instruments

Purnima ponrajkumar Indium software — Purnima ponrajkumar
Indium software

Mohammad Atash Shaikh Wipro — Mohammad Atash Shaikh
Wipro

Ayush Kumar srivastava Sopra — Ayush Kumar srivastava
Sopra

Sourav Dash Tek System — Sourav Dash
Tek System

Simran Khatri Techmatrix jaipur — Simran Khatri
Techmatrix jaipur

Madhav Sharma Cognizant — Madhav Sharma
Cognizant

Rajkishor. P. Game Redington India Ltd — Rajkishor. P. Game
Redington India Ltd

Bhuvan Nucleus software — Bhuvan
Nucleus software

Akshay Kachave Talent Sikha — Akshay Kachave
Talent Sikha

Vasavi Uppala NCR coperation — Vasavi Uppala
NCR coperation

Ashish Chauhan wipro — Ashish Chauhan
wipro

Debarya Pal Accenture — Debarya Pal
Accenture

Vritika Vijay Kamra Larsen and toubro infotech — Vritika Vijay Kamra
Larsen and toubro infotech

Mihir Vatsa Infosys — Mihir Vatsa
Infosys

Divyansh Singh Sengar Infosys — Divyansh Singh Sengar
Infosys

Harsha Kumari Bank Of America — Harsha Kumari
Bank Of America

Vatan Gupta Accenture — Vatan Gupta
Accenture

Fardeen Khan Deloitte us — Fardeen Khan
Deloitte us

Divyanshi jain Deloitte — Divyanshi jain
Deloitte

Hritick goyal Ranjio — Hritick goyal
Ranjio

Nishant Kumar cognizant — Nishant Kumar
cognizant

Saquib Mansuri Circulants — Saquib Mansuri
Circulants

Dhanisha sharma TCS — Dhanisha sharma
TCS

Aditya Prasad Capgemini — Aditya Prasad
Capgemini

Sathvika Chekuri Barclays — Sathvika Chekuri
Barclays

Priyanshu Lasod Barclays Arcgate — Priyanshu Lasod
Barclays Arcgate

Jaya Mendhe Accenture — Jaya Mendhe
Accenture

Dipali Jp Morgan Chase & Co. — Dipali
Jp Morgan Chase & Co.

Meenal Hewlett-Packard — Meenal
Hewlett-Packard

Muskan Hewlett-Packard — Muskan
Hewlett-Packard

Praveen Jangid Celebal Tech — Praveen Jangid
Celebal Tech

Linux & Python

Linux

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

AWS Solution Architect

1. Design Secure Architectures Task Statement

Design secure access to AWS resources

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

Design secure workloads and applications

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)

Determine appropriate data security controls

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

Design scalable and loosely coupled 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)

Design highly available and/or fault-tolerant architectures

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

Determine high-performing and/or scalable storage solutions

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

Design high-performing and elastic compute solutions

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

Determine high-performing database solutions

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)

Determine high-performing and/or scalable network architectures

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)

Determine high-performing data ingestion and transformation solutions

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

Design cost-optimized storage solutions

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)

Design cost-optimized compute solutions

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)

Design cost-optimized database solutions

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)

Design cost-optimized network architectures

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 Essentials

DevOps Culture
Concepts and Practices
DevOps Tools
DevOps and Cloud

DevOps Continue

Configuration Management (Ansible)

What and Why?
Ad-hoc Commands
Playbooks
Facts
Handlers

Containers and Orchestration Introduction

What and Why?
Basics
Tools used
Real world use-cases
Containers in Cloud

Docker

Jenkins

Kubernetes

Hashicorp Terraform

Chef

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

Note: Content may Subject to Change by REGex as per Requirement

Extra Sessions

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

Fee Structure

Indian Fee (Physical)

Price: ₹60,000/-

Indian Fee (Online)

Price: ₹60,000/-

International Fee

Price: $1500

Fee Can be Paid as No Cost EMI @5000/Month

Cashback Policy

You will get your Unique Referral Code after successful paid registration.
You will get ₹2500 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 ₹2500*10 = ₹25,000 on monthly basis.

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(Batches Start from April, May, June 2025)

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AWS Cloud With DevOps Internship and Training Program

About The Program

April Batches Dates

May Batches Dates

June Batches Dates

Weekly Duration

Location

Duration

Participants

What you will Learn

AWS

Linux

Python

Docker

Kubernetes

Chef

Jenkins

Terraform

Ansible

What you will Learn

Study Material

Output

Why Choose Us

Live Sessions

Live Projects

24*7 Support

Opportunities

Placement Opportunities in Companies

Package Offered So Far

Placement Process

Placed Students//Partnership

What People Tell About Us

Placed Students

Course Content

Linux & Python

AWS Solution Architect

1. Design Secure Architectures Task Statement

2. Design Resilient Architectures

3. Design High-Performing Architectures

4. Design Cost-Optimized Architectures

DevOps

DevOps Continue

Extra Sessions

Fee Structure

Indian Fee (Physical)

Indian Fee (Online)

International Fee

Cashback Policy

Enroll Now

(Batches Start from April, May, June 2025)

Quick Links

What We Offer

Software Services

Address

B-35, 2nd floor next to vasantbahar colony, Gopalpura bypass, Jaipur

+91-9602880219, +91-7852071653

info@regexsoftware.com

+91-9602880219,
+91-7852071653