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Regex Software

AWS Cloud With DevOps Internship and Training Program

(Batches Start in June, July & August 2025)

About The Program

At Regex Software, we offer a comprehensive AWS Cloud Specialisation with DevOps, designed to prepare learners for real-world roles in cloud engineering, infrastructure automation, and deployment pipelines. This course is one of the most in-demand Cloud and DevOps specialisation programs in Rajasthan, tailored for individuals who want to build scalable cloud-native applications and streamline development workflows using the latest DevOps practices.

Our training program provides in-depth knowledge of AWS cloud architecture, EC2, S3, IAM, VPC, Lambda, Docker, Jenkins, Terraform, Kubernetes, Git, and CI/CD pipelines. By combining powerful tools and hands-on lab experience, we ensure learners gain practical skills that top employers demand today.

Whether you’re an IT professional looking to upskill or a fresh graduate seeking a future-ready career, our DevOps and Cloud computing training in Jaipur is designed to meet your goals. You’ll learn how to deploy secure and scalable applications in the cloud, manage infrastructure as code, and automate the software delivery process efficiently.

The program also includes mock interviews, resume building, real-world projects, and career mentoring, helping you become job-ready from day one. With a focus on cloud transformation and DevOps culture, Regex Software’s AWS Cloud Specialisation is your gateway to joining the next generation of cloud experts.

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June Batches Dates

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

July Batches Dates

Batch 1: 07st July 2025
Batch 2: 14th July 2025
Batch 3: 21th July 2025
Batch 4: 28th July 2025

August Batches Dates

Batch 1: 04th August 2025
Batch 2: 11th August 2025
Batch 3: 18th August 2025
Batch 4: 25th August 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

Linux

Python

Docker

Kubernetes

Chef

Jenkins

Terraform

Ansible

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

IT Candidates

  • Minimum Package

4 LPA

  • Average Package

5 – 8 LPA

  • Highest Package

26 LPA

Non-IT Candidates

  • Minimum Package

3 LPA

  • Average Package

3.5 – 5 LPA

  • Highest Package

8 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

amazon
wipro
capgemini
google
microsoft
myntra
paytm
ibm
Cognizant
infosys
intel
hcl
hp
honeywell
oracle1
dell
fractal
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What People Tell About Us

Placed Students

Gunjan Saini National Instruments
Gunjan Saini
National Instruments
Prem Wipro & IBM
Prem
Wipro & IBM
Purnima ponrajkumar Indium software
Purnima ponrajkumar
Indium software
sonal Wipro
sonal
Wipro
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
Pratik Choubey TCS
Pratik Choubey
TCS
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
Sumodh c Sabu TCS
Sumodh c Sabu
TCS
Swati Accenture
Swati
Accenture
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
Riya Khanna HSBC
Riya Khanna
HSBC
Muskan Hewlett-Packard
Muskan
Hewlett-Packard
Praveen Jangid Celebal Tech
Praveen Jangid
Celebal Tech
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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)

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 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

Download Program Brochure

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 June, July & August 2025)

*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*