AWS DevOps Engineering Training In Hyderabad

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AWS DevOps Engineering Course In Hyderabad

Batch Details

Trainer Name	Mr. Dinesh
Trainer Experience	10+Years
Timings	Monday to Friday (Morning and evening)
Next Batch Date	30-July-2025 AT 11:00 AM
Training Modes	Classroom & Online
Call us at	+91 9000360654
Email us at	awsmasters.in@gmail.com
For More Details at	For More Demo Details

AWS DevOps Engineering Institute In Hyderabad

Why choose us?

DevOps-Focused AWS Training Track
Trainers with CI/CD & Cloud Automation Expertise
Docker & Kubernetes Training on AWS
Infrastructure as Code (IaC) with Hands-On Projects
Deep Dive into Tools like CodePipeline, CloudFormation, ECS, EKS
Real-Time DevOps Lifecycle Implementation

Continuous Integration & Monitoring with AWS DevOps Suite
DevSecOps Principles & Practical Use Cases
Step-by-Step Interview Task Practice
Cloud-Native Architecture Implementation
DevOps Resume Projects for GitHub Portfolio
Certification & Career Mapping Support

AWS Devops Engineering In Hyderabad

Curriculum

Module 1 - Introduction to AWS & DevOps

What is AWS?
What is DevOps?
Need for DevOps in Cloud
DevOps Lifecycle
Benefits of AWS for DevOps

Module 2 - Version Control with Git & GitHub

Git Basics and Installation
Git Commands (clone, commit, push, pull, etc.)
Git Branching Strategies
GitHub Repositories & Collaboration

Module 3 - Linux Fundamentals for DevOps

Linux CLI Basics
File Management & Permissions
Bash Scripting Essentials
User and Group Management

Module 4 - AWS Core Services Overview

IAM (Users, Groups, Policies)
EC2, S3, VPC, RDS, CloudWatch
AWS Global Infrastructure

Module 5 - AWS Identity and Access Management (IAM)

IAM Users, Roles, Policies
MFA & Security Best Practices
Identity Federation & Cross-account Access

Module 6 - Networking in AWS (VPC)

Subnets, Route Tables, IGW, NAT
Security Groups vs NACLs
VPC Peering & VPN Gateways

Module 7 - Amazon EC2 Deep Dive

Launching & Configuring EC2 Instances
Key Pairs, EBS Volumes
AMIs, Snapshots, Elastic IPs
Auto Recovery

Module 8 - Amazon S3 and Storage Solutions

Bucket Policies, ACLs
Storage Classes & Lifecycle Policies
Versioning & Replication
S3 CLI Integration

Module 9 - Elastic Load Balancer (ELB) & Auto Scaling

Types of ELBs
Target Groups & Health Checks
Launch Templates & Auto Scaling Groups

Module 10 - Amazon CloudWatch & CloudTrail

Metrics, Alarms, Logs
Custom Dashboards
Event Rules & Notifications
Audit Trails using CloudTrail

Module 11 - Infrastructure as Code – Introduction to IaC

Importance of IaC in DevOps
IaC Tools Overview: CloudFormation, Terraform

Module 12 - AWS CloudFormation Basics

Stack & Template Concepts
Writing JSON/YAML Templates
Nested & Cross Stack References

Module 13 - Terraform for AWS (Part 1)

Installing Terraform
Providers, Variables, State Files
Writing Basic Terraform Scripts

Module 14 - Terraform for AWS (Part 2)

Modules and Reusability
Workspaces & Environments
Integrating with Git & CI/CD

Module 15 - Configuration Management with Ansible

Ansible Architecture & YAML
Inventory, Playbooks, Roles
Connecting Ansible to AWS EC2

Module 16 - Jenkins – CI/CD Tool Introduction

Jenkins Setup & Configuration
Jobs, Pipelines, Plugins
GitHub Integration

Module 17 - Jenkins Pipeline as Code

Scripted vs Declarative Pipelines
Multibranch Pipelines
Parameterized Builds

Module 18 - Continuous Integration with Jenkins & Git

CI Pipeline Design
Webhooks & Git Integration
Test Automation in CI

Module 19 - AWS CodeCommit, CodeBuild, CodePipeline, CodeDeploy

Overview of AWS DevOps Suite
Setting Up Repositories
End-to-End CI/CD Pipelines in AWS

Module 20 - Docker – Containerization

Docker Architecture
Images, Containers, Volumes, Networks
Dockerfile, Docker Compose

Module 21 - Docker Registry & DockerHub

Building & Pushing Images
Private Registry Setup
Security Best Practices

Module 22 - Container Orchestration with Kubernetes (EKS)

Kubernetes Architecture
Pods, Deployments, Services
Helm Charts & EKS Integration

Module 23 - AWS Elastic Kubernetes Service (EKS)

EKS Setup and Configuration
IAM Roles for Service Accounts (IRSA)
Logging, Monitoring EKS

Module 24 - Monitoring with Prometheus and Grafana

Prometheus Installation & Setup
Exporters & AlertManager
Grafana Dashboard Setup

Module 25 - Logging with ELK Stack (Elasticsearch, Logstash, Kibana)

ELK Architecture
Centralized Logging from AWS Resources
Visualizing Logs with Kibana

Module 26 - AWS Systems Manager (SSM)

SSM Agent, Run Command
Patch Manager
Session Manager (Secure EC2 Access)

Module 27 - Security Best Practices in AWS

Shared Responsibility Model
Encryption (KMS)
Security Hub, GuardDuty, Inspector

Module 28 - DevSecOps – Secure DevOps Practices

Secrets Management
Integrating Security in CI/CD
SAST & DAST in Pipelines

Module 29 - AWS Lambda & Serverless Concepts

Writing Lambda Functions
API Gateway Integration
Serverless Deployment Tools (SAM, Serverless Framework)

Module 30 - Building Serverless CI/CD Pipelines

CI/CD for Lambda Applications
Monitoring & Versioning
Deploying via SAM CLI

Module 31 - AWS RDS & Database DevOps

RDS Features & Backups
Multi-AZ, Read Replicas
Automated DB Deployments

Module 32 - Secrets and Parameter Store

AWS Secrets Manager
Systems Manager Parameter Store
Access Management

Module 33 - Blue/Green & Canary Deployments

Deployment Strategies
Rollback Scenarios
AWS CodeDeploy Configs

Module 34 - Multi-Account DevOps Strategy

AWS Organizations
SCPs, Cross Account Access
Centralized CI/CD Management

Module 35 - Cost Management & Billing

Cost Explorer & Budgets
Rightsizing & Optimization
AWS Trusted Advisor

Module 36 - High Availability & Disaster Recovery

Fault Tolerance Architecture
RTO & RPO in AWS
DR Strategies

Module 37 - Performance Tuning in AWS DevOps

EC2, RDS, Lambda Optimization
CDN & Caching (CloudFront)

Module 38 - Blueprints & Templates for Projects

Ready-to-use CI/CD Templates
Reusable Infrastructure Templates

Module 39 - Real-Time Project 1: Web App CI/CD on AWS

Source Control → CI → CD
Infrastructure with Terraform
Monitoring & Logging Setup

Module 40 - Real-Time Project 2: Containerized App with EKS

Docker → ECR → EKS
GitOps Workflow with ArgoCD
Alerting and Logging

Module 41 - GitOps Introduction

GitOps Principles
Tools (ArgoCD, FluxCD)
GitOps for EKS

Module 42 - ChatOps and Slack Integration

Jenkins + Slack
DevOps Notifications
Incident Management

Module 43 - Backup & Recovery Automation

AWS Backup Service
Custom Lambda Backup Scripts

Module 44 - AWS CLI & SDK Automation

CLI Scripting
Boto3 (Python SDK) for Automation
S3, EC2, Lambda Scripts

Module 45 - DevOps Metrics & KPIs

DORA Metrics
Deployment Frequency
Lead Time & MTTR

Module 46 - DevOps Interview Preparation

Real Interview Questions
Use Case-Based Discussions
Resume & GitHub Optimization

Module 47 - Hands-on Assignments

Weekly Lab Exercises
Real Scenarios
Problem Solving

Module 48 - Capstone Project

Design to Deployment
Team Collaboration
End-to-End Documentation

Module 49 - AWS DevOps Certification Guidance

AWS DevOps Engineer – Professional Overview
Sample Questions
Preparation Strategy

Module 50 - Mock Interviews & Career Coaching

Technical HR Rounds
Soft Skills Training
Career Roadmap & Opportunities

AWS DevOps Trainer Details

INSTRUCTOR

Mr. Dinesh

Expert & Lead Instructor

10+ Years Experience

About the tutor:

Mr. Dinesh, our AWS DevOps Engineering Trainer, brings over 10+ years of industry experience in cloud computing, DevOps automation, and IT infrastructure. With deep expertise in Amazon Web Services (AWS), he has successfully implemented end-to-end DevOps solutions for top MNCs and fast-growing startups across domains such as finance, healthcare, and e-commerce.

He specializes in teaching core AWS DevOps tools and services such as EC2, S3, CodePipeline, CodeDeploy, CloudFormation, IAM, CloudWatch, Lambda, and integrates popular DevOps tools like Git, Jenkins, Docker, Kubernetes, Terraform, and Ansible. His training approach focuses on hands-on labs, real-time projects, and production-ready CI/CD pipelines, ensuring that students gain practical, job-focused experience.

In addition to technical knowledge, Mr. Dinesh mentors students on resume building, AWS DevOps certification preparation, mock interviews, and career planning. His mission is to make every learner job-ready, confident, and capable of securing roles such as AWS DevOps Engineer, Cloud Engineer, SRE, or Automation Specialist in today’s cloud-driven IT landscape.

Why Join Our AWS DevOps Engineering Institute In Hyderabad

Key Points

Our sessions are led by seasoned AWS DevOps Engineers with over 10+ years of experience in top MNCs. You’ll gain insights not just from books but from actual real-time industry use cases.

We don’t just teach concepts—we train you to build, automate, and manage cloud infrastructure using AWS and DevOps tools through hands-on labs and real-world projects.

From Git, Jenkins, Docker, and Kubernetes to Terraform, Ansible, and AWS services like EC2, S3, Lambda, and CloudFormation—you’ll master it all under one structured program.

You’ll work on real-time scenarios that simulate industry environments, giving you confidence to handle job responsibilities from day one.

Whether you’re aiming for Cloud Practitioner, Solutions Architect, or DevOps Engineer certifications, we provide full support with materials, quizzes, and guidance.

We prepare you not only technically but also for job hunting—via mock interviews, resume building sessions, and recruiter-focused profile reviews.

Whether you’re a student, working professional, or career-switcher, our batch timings and hybrid learning options suit everyone’s lifestyle.

We believe quality training should be affordable. Get value-driven education with lifetime LMS access and installment-friendly fee plans.

Get support beyond training—interview scheduling, job referrals, and access to our hiring network to help you land your dream AWS DevOps role.

What is AWS DevOps Engineering ?

Objectives of the AWS DevOps Engineering Training In Hyderabad

To Provide learners with in-depth knowledge of AWS services and essential DevOps tools like Git, Jenkins, Docker, Kubernetes, and Terraform for real-world application.
Enable students to design and implement Continuous Integration and Continuous Deployment pipelines to automate software delivery workflows.
Train learners to create and manage cloud infrastructure using tools like AWS CloudFormation and Terraform, ensuring efficiency and consistency.
Guide participants through full-cycle project development including version control, deployment, monitoring, and scaling cloud applications.
Support learners with certification-focused training for AWS Cloud Practitioner, Solutions Architect, and DevOps Engineer to boost job-readiness.

Prerequisites of AWS DevOps Engineering Course

Familiarity with Linux/Unix or Windows OS is helpful, as most DevOps tools and AWS services are managed through the command line.
A basic understanding of IPs, DNS, HTTP/HTTPS, and firewalls will help in setting up and troubleshooting AWS services and cloud deployments.
Knowing any scripting language like Python, Bash, or Shell helps in automation tasks, writing deployment scripts, and working with DevOps tools.
Understanding how code moves from development to production helps you grasp CI/CD, testing, and version control concepts better.
Though not mandatory, prior exposure to core AWS services like EC2, S3, and IAM gives a head start in understanding DevOps in the cloud.

Who Should Learn AWS DevOps Engineering Course?

Ideal for B.Tech, B.Sc, and MCA graduates looking to enter the high-demand cloud computing and DevOps domain with strong career prospects.
Perfect for professionals who want to automate deployments, manage infrastructure, or shift into cloud-based development and DevOps roles.
Helps IT admins upgrade their skill set by learning cloud provisioning, automation tools, and infrastructure as code with AWS.
For existing DevOps professionals aiming to specialize in AWS-specific services, tools, and architecture for better roles and salary hikes.
Useful for individuals building their own products or managing cloud-based projects who need to handle AWS infrastructure efficiently.

AWS DevOps Engineering Training in Hyderabad

Course Outline

Understand the basics of cloud computing, AWS architecture, and the DevOps lifecycle. Learn how cloud and DevOps together streamline software delivery.

Master Git basics, branching strategies, and collaborative workflows using GitHub. Learn how to manage source code efficiently in DevOps pipelines.

Install and configure Jenkins for automating build and deployment pipelines. Integrate Jenkins with Git, Docker, and AWS for end-to-end CI/CD.

Learn how to create, manage, and deploy Docker containers. Understand Docker images, Dockerfile, and container orchestration basics.

Set up Kubernetes clusters on AWS using EKS. Learn how to manage containerized applications, perform scaling, rolling updates, and service discovery.

Automate infrastructure provisioning using Terraform and AWS CloudFormation templates. Write reusable and scalable IaC scripts for real-world scenarios.

Track application performance and monitor AWS services using CloudWatch. Set up logs, alarms, and visualization dashboards with ELK or Grafana.

Build automated CI/CD pipelines using native AWS tools. Learn how to manage source code, automate builds, and deploy applications in different environments.

Work on live DevOps projects hosted on AWS. Get hands-on with deployment pipelines, and prepare for AWS Certified DevOps Engineer exam with mock tests and guidance.

Aws DevOps Engineering Training In Hyderabad

Modes

Classroom Training

Daily Recorded Videos
One - One Project Guidence
Practical Application
Get support till you are placed
Mock Interviews
Well-Organized Syllabus

Online Training

Flexible Learning Schedule
Recorded Video access
Whatsapp Group Access
Doubt Clearing Sessions
Daily Session Recordings
Real-world Projects

Corporate Training

Live Project Training
On-site or Virtual Training Sessions
Doubt Clearing Sessions
Daily Class Recordings
Team-building Activities
Video Material Access

Aws DevOps Engineering Training In Hyderabad

Career Opportunities

01 AWS DevOps Engineer

You’ll be qualified for roles as an AWS DevOps Engineer, responsible for automating infrastructure, setting up CI/CD pipelines, and managing deployments in cloud environments.

02 Cloud Engineer (AWS)

Gain the skills to work as an AWS Cloud Engineer, handling scalable architecture, serverless computing, and cloud resource management across organizations.

03 Site Reliability Engineer (SRE)

With expertise in monitoring, automation, and system reliability, you can pursue roles as an SRE, ensuring high availability and performance of cloud-based applications.

04 Infrastructure as Code (IaC) Specialist

Your knowledge in Terraform and AWS CloudFormation will open doors to roles focused on automating and managing large-scale cloud infrastructure using code.

05 DevOps Consultant / Architect

You can work as a DevOps Architect or Consultant, helping companies design and implement DevOps strategies and cloud-native architectures using AWS services.

06 Opportunities in MNCs & Startups

Top MNCs, cloud-native startups, and consulting firms actively hire AWS DevOps professionals, offering high salaries, remote work options, and global opportunities.

AWS DevOps Engineering Training Institute In Hyderabad

Skills Developed

Cloud Infrastructure Management on AWS

You’ll gain hands-on skills in provisioning, configuring, and managing scalable AWS infrastructure using services like EC2, S3, VPC, IAM, and more.

DevOps Automation & CI/CD Pipelines

Master automation using tools like Jenkins, GitHub Actions, and AWS CodePipeline. You’ll be able to build reliable CI/CD pipelines for smooth code delivery.

Containerization & Orchestration

Learn how to containerize applications using Docker and orchestrate them with Kubernetes or AWS EKS—essential skills for modern cloud deployment.

Infrastructure as Code (IaC)

Develop the ability to write and manage infrastructure using Terraform and AWS CloudFormation, enabling scalable, repeatable, and version-controlled deployments.

Monitoring & Logging Systems

You’ll acquire skills in setting up performance monitoring, log analysis, and alerting using tools like AWS CloudWatch, Grafana, and ELK stack.

Problem Solving & Real-Time Deployment

Through real-world projects, you’ll sharpen your troubleshooting, deployment, and optimization skills—making you ready for live cloud production environments.

AWS DevOps Engineering Course Online

Certifications

This certification validates your expertise in designing and implementing AWS services to derive insights from data using analytics tools and data lakes.
Gain the foundational skills required to design scalable, cost-effective, and secure cloud solutions—essential for any data engineering role on AWS.
Though retired, concepts from this certification—like Redshift, EMR, and Kinesis—are still part of the training to ensure practical, job-relevant skills.
Covers the integration of data-driven applications with AWS services, focusing on serverless development, API interactions, and data processing pipelines.
The course also prepares you for complementary tools like Apache Spark, Airflow, or Snowflake certifications, depending on your career focus.

Companies that Hire From Amazon Masters

AWS DevOps Engineering Course In Hyderabad

Benefits

Gain practical experience by working on live data engineering projects using AWS services like Redshift, Glue, S3, Lambda, and EMR—bridging the gap between learning and doing.

AWS Data Engineers are in high demand across industries. This course prepares you for roles like Data Engineer, Big Data Engineer, and Cloud Data Architect with top companies.

The training covers end-to-end data pipeline creation, ETL processing, data warehousing, and analytics—aligned with real-time use cases from modern data teams.

Get complete guidance to clear key AWS certifications like Data Analytics – Specialty and Solutions Architect – boosting your professional credibility and job prospects.

Benefit from resume preparation, mock interviews, and job referrals in the Hyderabad job market, with mentorship from experienced AWS data professionals.

Choose between classroom or online sessions with access to recorded content and lab exercises, allowing you to learn at your own pace and revisit topics anytime.

AWS DevOps Engineering Course

Placement Opportunities

AWS DevOps Engineering Course

Market Trend

Massive Growth in Cloud Adoption

Companies across sectors are rapidly migrating to the cloud, and AWS continues to dominate the market—creating a strong demand for skilled DevOps engineers familiar with AWS services.

DevOps Roles Among Top-Paid in IT

AWS DevOps roles consistently rank among the highest-paying jobs in tech, thanks to the specialized skill set that blends cloud computing, automation, and software delivery.

CI/CD is Now a Standard Practice

Organizations now consider Continuous Integration and Continuous Deployment (CI/CD) as essential. Skilled professionals who can build and manage CI/CD pipelines on AWS are highly valued.

Shift Toward Serverless & Automation

There’s a rising trend in using AWS Lambda, Fargate, and other serverless tools. Companies want DevOps engineers who can automate infrastructure and reduce manual operations.

Hybrid & Multi-Cloud Skills in Demand

While AWS leads the cloud market, knowledge of how to integrate AWS with other platforms (Azure, GCP) is a huge plus, giving AWS DevOps engineers an edge.

Increased Focus on Security & Compliance

As cloud adoption grows, security becomes a top priority. AWS DevOps Engineers are expected to implement secure CI/CD pipelines and ensure compliance using tools like IAM and CloudTrail.

Job Market is Expanding Globally

From Hyderabad to Silicon Valley, the demand for AWS DevOps professionals is global. Remote work opportunities are also increasing for certified engineers with hands-on experience.

Certifications Driving Hiring Decisions

AWS certifications, especially DevOps Engineer – Professional, are increasingly becoming a hiring filter. Certified candidates stand out in competitive job markets and secure better roles.

1. What is AWS DevOps Engineering?

AWS DevOps Engineering combines AWS cloud services with DevOps practices to automate and streamline software development, testing, and deployment processes.

2. Who is this course suitable for?

This course is ideal for developers, sysadmins, testers, fresh graduates, and IT professionals looking to build a career in cloud automation and DevOps.

3. Do I need prior AWS knowledge?

Basic AWS knowledge is helpful but not mandatory. We cover all foundational AWS concepts as part of the training.

4. Do I need programming knowledge for this course?

Basic knowledge of scripting (Python, Bash) is recommended but not mandatory. We provide support for beginners.

5. How long is the AWS DevOps Engineering course?

The course typically spans 8–10 weeks, depending on the batch schedule (weekday or weekend).

6. Is the training online or classroom-based?

We offer both online live classes and classroom training in Hyderabad.

7. Do I get lifetime access to course materials?

Yes, you will receive lifetime access to LMS with recordings, notes, code files, and assessments.

8. What if I miss a session?

All sessions are recorded. You can access the missed sessions anytime on our LMS.

9. Is this course beginner-friendly?

Yes. It starts from fundamentals and moves toward advanced AWS and DevOps concepts.

10. Will there be a demo class?

Yes, we offer a free demo session to help you evaluate our training approach and trainer expertise.

11. What AWS services are covered in the course?

EC2, S3, IAM, Lambda, CloudFormation, CodePipeline, CodeBuild, CodeDeploy, CloudWatch, and more.

12. What DevOps tools are covered?

Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, and ELK Stack.

13. Will I build real-time projects?

Yes, you will work on 2-3 live projects that include CI/CD pipelines and cloud automation on AWS.

14. Is Linux taught as part of the course?

Yes. We cover basic to intermediate Linux commands and shell scripting required for DevOps tasks.

15. Do you cover Infrastructure as Code (IaC)?

Absolutely! Tools like Terraform and AWS CloudFormation are included in-depth.

16. Will I learn CI/CD pipeline implementation?

Yes, you will build end-to-end CI/CD pipelines using Jenkins and AWS DevOps tools.

17. Is Kubernetes included in the course?

Yes. We teach Kubernetes basics and manage clusters using Amazon EKS (Elastic Kubernetes Service).

18. Do I need AWS certification to get a job?

Certifications help but are not mandatory. Our hands-on training focuses on real-time project skills, which recruiters prioritize.

19. Will I learn monitoring tools?

Yes. We cover AWS CloudWatch, Grafana, and Prometheus for system monitoring and logging.

20. Are serverless tools like AWS Lambda covered?

Yes. You’ll learn how to write Lambda functions and integrate them with DevOps workflows.

21. How many projects are included in the course?

You’ll complete 2 major real-time projects and several mini assignments after each module.

22. Are projects individual or team-based?

You’ll work on both solo and group projects to simulate real industry work environments.

23. Do I need to install tools on my local system?

Most tools are cloud-based. However, basic tools like Git, Docker, and VS Code can be installed locally.

24. Will I get help with project setup?

Yes, we provide step-by-step guidance and trainer support during live sessions and lab work.

25. Are projects aligned with job roles?

Yes. Projects simulate real-world tasks for roles like AWS DevOps Engineer, Cloud Engineer, and SRE.

26. Do you provide placement support?

Yes. We offer placement assistance, including resume review, mock interviews, and job referrals.

27. Will I get a course completion certificate?

Yes, you’ll receive an industry-recognized certificate after completing the course and projects.

28. What kind of job roles can I apply for?

You can apply for roles such as AWS DevOps Engineer, Cloud Engineer, Site Reliability Engineer (SRE), and Build/Release Engineer.

29. How do you prepare students for interviews?

We conduct mock interviews, technical assessments, and share frequently asked interview questions with solutions.

30. Do you assist with AWS Certification exams?

Yes, we provide complete guidance, practice tests, and dumps for certifications like AWS DevOps Engineer – Professional.

31. Which AWS certifications are relevant for DevOps?

AWS Certified DevOps Engineer – Professional
AWS Certified SysOps Administrator – Associate
AWS Certified Developer – Associate

32. Is certification training included?

Yes. The course includes exam-specific guidance, syllabus mapping, and sample question discussions.

33. Do I need to take the exam immediately after the course?

It’s optional. Many students take the exam within 1–3 months of course completion.

34. Is the certification fee included in course fee?

No. Certification exam fees are paid directly to AWS, but we guide you on the registration process.

36. What cloud lab environment do you use?

We provide access to AWS Free Tier and guide you on using it efficiently without incurring charges.

37. Do you provide virtual machines?

No, as the course is cloud-focused, you will use AWS-based labs and tools on your local or cloud systems.

38. Can I practice after the sessions?

Yes, our LMS has labs, assignments, and resources you can access 24/7.

39. Do I need a high-end system?

No. A basic system with 4GB+ RAM and stable internet is sufficient for training and labs.

40. Is coding required for the tools?

Only basic scripting is required (Python, Shell). We guide you even if you’re new to coding.

41. Do I get post-training support?

Yes, we offer 3 months of post-training support for doubts and project guidance.

42. Will trainers be available for doubt clarification?

Yes. We conduct weekly doubt sessions and offer one-on-one support via our LMS platform.

43. Is there a community or forum for discussion?

Yes, we have a Telegram/WhatsApp group and discussion forums for learners.

44. Do I get soft skills or communication training?

Basic interview communication tips and resume reviews are included, especially for freshers.

45. Can I repeat classes if needed?

Yes. You can re-attend future batches of the same course at no extra cost (based on availability).

46. What is the course fee?

Please contact us directly or visit our website for the latest fee structure and discount offers.

47. Do you offer EMI or installment options?

Yes, we offer flexible payment options, including monthly installments.

48. When is the next batch starting?

New batches begin every 2–3 weeks. We offer weekday and weekend options.

49. What are the batch timings?

Batch timings include morning and evening slots to suit both working professionals and students.

50. How can I enroll?

You can enroll by contacting us via phone, website, or visiting our training center in Hyderabad.