AIOps Training In Hyderabad
with
100% Placements & Internships
- Comprehensive Curriculum
- Expert Trainers
- Real-Time Projects
- Certification
AIOps Course In Hyderabad
Batch Details
| Trainer Name | Mr. Ramesh Kumar |
| Trainer Experience | 10+Years |
| Timings | Monday to Friday (Morning and evening) |
| Next Batch Date | 15-SEP-2025 AT 11:00 AM |
| Training Modes | Classroom & Online |
| Call us at | +91 9000360654 |
| Email us at | aimlopsmasters.in@gmail.com |
| For More Details at | For More Demo Details |
AIOps Institute In Hyderabad
Why choose us?
- Industry-Aligned Curriculum
- Real-Time Case Studies
- AI-Driven Operations Focus
- Expert & Experienced Trainers
- Career-Focused Learning
- Live Project Experience
- Advanced Automation Skills
- Cloud & Multi-Platform Training
- Performance Monitoring Expertise
- Classroom & Online Options
- Placement Assistance & Support
- Post-Course Updates & Guidance
AIOps Course In Hyderabad
AIOps Curriculum
Module 1 - Introduction to Cloud Computing and AWS
- What is Cloud Computing?
- Types of Cloud (Public, Private, Hybrid)
- Service Models: IaaS, PaaS, SaaS
- Benefits of Cloud Computing
- Major Cloud Providers: AWS vs Azure vs GCP
- AWS Global Infrastructure
- Regions, Availability Zones
- Edge Locations
- Data Centers
Module 2 - AWS Account Setup & Free Tier
- Creating AWS Free Tier Account
- Understanding AWS Billing and Pricing
- AWS Budgets and Cost Calculator
- IAM Best Practices for New Accounts
- Hands-on: Billing alerts setup
Module 3 - Identity and Access Management (IAM)
- What is IAM?
- Users, Groups, Roles, and Policies
- IAM Policy Structure (JSON)
- MFA (Multi-Factor Authentication)
- AWS Organizations (Basic Overview)
- Hands-on: Creating IAM users with permission boundaries
Module 4 - Amazon EC2 (Elastic Compute Cloud)
- Introduction to EC2
- Instance Types & Pricing Models
- Launching EC2 Instances (Linux & Windows)
- SSH Key Pairs and Security Groups
- Elastic IPs
- AMIs and Snapshots
- Hands-on: Web server setup using EC2
Module 5 - Amazon S3 (Simple Storage Service)
- S3 Overview and Use Cases
- S3 Buckets, Objects, Storage Classes
- Versioning, Lifecycle Rules
- Static Website Hosting
- Pre-signed URLs
- S3 Security (Bucket Policy, ACLs)
- Hands-on: Hosting a static website
Module 6 - Elastic Load Balancing (ELB) and Auto Scaling
- Types of Load Balancers
- Application Load Balancer
- Network Load Balancer
- Auto Scaling Concepts
- Launch Configurations & Scaling Policies
- Hands-on: Auto Scaling group setup
Module 7 - Amazon VPC (Virtual Private Cloud)
- VPC Basics
- Subnets, Route Tables, Internet Gateway
- NAT Gateway vs NAT Instance
- Security Groups vs NACLs
- Peering and VPC Endpoints
- Hands-on: Create custom VPC with public and private subnets
Module 8 - AWS Databases
A. RDS (Relational Database Service)
- RDS Overview
- Supported DB Engines (MySQL, PostgreSQL, etc.)
- Backups, Snapshots, Multi-AZ & Read Replicas
B. DynamoDB
- NoSQL Basics
- Tables, Items, Attributes
- Partition Key & Sort Key
- On-Demand vs Provisioned
C. Aurora
- Aurora MySQL vs PostgreSQL
- Serverless Aurora
Module 9 - Route 53 – DNS and Domain Management
- Domain Registration
- Hosted Zones
- Record Types (A, AAAA, CNAME, etc.)
- Routing Policies (Failover, Weighted, Latency)
- Hands-on: Connect domain with EC2/S3
Module 10 - AWS Lambda (Serverless Computing)
- What is Serverless?
- Lambda Concepts
- Creating and Deploying Functions
- Event Triggers (S3, DynamoDB, API Gateway)
- Lambda + IAM Roles
- Hands-on: Trigger Lambda using S3 upload
Module 11 - CloudWatch, CloudTrail & Monitoring
- AWS CloudWatch: Metrics, Alarms, Logs
- Creating Custom Metrics
- AWS CloudTrail: User Activity Logs
- Hands-on: Set up monitoring for EC2 and S3
Module 12 - AWS SNS, SQS, and EventBridge
- Amazon SNS (Push Notifications)
- Amazon SQS (Message Queues)
- Dead-letter Queues
- EventBridge vs CloudWatch Events
- Use Cases in Real Applications
Module 13 - AWS API Gateway
- REST APIs vs HTTP APIs
- Integration with Lambda
- Security (API Keys, Usage Plans, Throttling)
- Deployment Stages
- Hands-on: Create Serverless API with API Gateway + Lambda
Module 14: AWS CloudFormation
- Infrastructure as Code (IaC) Basics
- Template Format (YAML/JSON)
- Stack Creation and Management
- Nested Stacks and Change Sets
Module 15 - AWS Elastic Beanstalk
- PaaS Overview
- Deploying Web Applications
- Configuration & Scaling
Monitoring and Rollback
Module 16 - AWS EFS and FSx
- EFS vs S3 vs Instance Store
- Mount Targets and Security
- AWS FSx (Windows File System)
Module 17 - AWS Security Tools
- AWS WAF (Web Application Firewall)
- AWS Shield (DDoS Protection)
- AWS Config and GuardDuty
Inspector and Security Hub
Module 18 - AWS DevOps Tools
- AWS CodeCommit, CodeBuild, CodePipeline
- CI/CD Concepts
- Deploying with CodeDeploy
- GitHub Actions Integration
Module 19 - Migration and Hybrid Cloud
- AWS Migration Hub
- Server Migration Service (SMS)
- Database Migration Service (DMS)
Snowball & Storage Gateway
Module 20 - AWS Certification Exam Preparation
- AWS Certified Solutions Architect – Associate/Professional
- Practice Questions & Mock Exams
- Whitepapers & Case Studies
- Exam Registration Process
- Interview Preparation
Module 21 - AWS CLI and SDKs (Command Line Interface & Software Development Kits)
- Installing AWS CLI on Windows/Linux/Mac
- Configuring AWS CLI Profiles
- Common CLI Commands (EC2, S3, IAM)
- AWS SDKs Overview (Python – Boto3, JavaScript, Java)
- Hands-on: Automating S3/EC2 with AWS CLI
Module 22 - Amazon CloudFront (Content Delivery Network)
- What is CDN?
- CloudFront Distribution Types
- Integrating with S3 and EC2
- Caching and TTL
- Signed URLs & Cookies
- Hands-on: Deliver static site using CloudFront
Module 23 - AWS Systems Manager (SSM)
- Patch Manager
- Session Manager for EC2 Access (No SSH)
- Parameter Store vs Secrets Manager
- Automation Documents
- Hands-on: Running shell commands on EC2 using SSM
Module 24 - AWS Secrets Manager
- Secrets vs Parameters
- Rotation of Secrets
- IAM Policies for Access
- Hands-on: Store and retrieve DB credentials securely
Module 25 - AWS Global Accelerator
- Global traffic management overview
- Static IP addresses for applications
- Latency-based routing
- Difference between Route 53 and Global Accelerator
Module 26 - AWS Backup & Disaster Recovery
- Backup Plans & Vaults
- Cross-region backups
- Disaster Recovery (RTO vs RPO)
- Automated backup policies for EC2, EBS, RDS
Module 27 - AWS Certificate Manager (ACM)
- SSL/TLS Certificates Management
- Public and Private Certificates
- Integration with ELB and CloudFront
- Hands-on: SSL on EC2 via ACM
Module 28 - AWS Direct Connect & Site-to-Site VPN
- On-premise to AWS secure connectivity
- MPLS vs VPN vs Direct Connect
- Hybrid cloud architecture
- Routing, BGP Configuration (Basic Level)
Module 29 - AWS Organizations and Consolidated Billing
- Multi-account management
- Organizational Units (OUs)
- SCPs (Service Control Policies)
- Cross-account IAM
Module 30 - AWS Cost Management & Cost Explorer
- AWS Budgets & Alerts
- Cost Categories & Reports
- Reserved vs On-demand cost analysis
- Hands-on: Analyzing EC2 & S3 usage
Module 31 - Amazon Elastic File System (EFS) Advanced
- Performance Modes (General Purpose, Max I/O)
- Throughput Modes (Bursting vs Provisioned)
- Backup & Restore for EFS
- EFS Access Points
Module 32 - Amazon FSx (For Windows & Lustre)
- Windows File System setup
- Lustre for HPC/Big Data
- Integrate with S3
- FSx Backup and Restore
Module 33 - AWS Outposts
- On-premise AWS services
- Hybrid workloads
- Real-world Use Cases
- Limitations and regions
Module 34 - AWS Step Functions
- Serverless Workflows
- Integrate with Lambda, DynamoDB, SQS
- JSON-based State Machine
- Error handling and retries
Module 35 - Amazon Kinesis (Real-Time Data Streaming)
- Kinesis Data Streams, Firehose, Analytics
- Real-time log analysis and ingestion
- Hands-on: Stream data from EC2 logs to S3
Module 36 - Amazon EMR (Elastic MapReduce)
- Hadoop and Spark on AWS
- Big Data Processing Cluster Setup
- Integration with S3 and Redshift
Module 37 - Amazon Redshift (Data Warehouse)
- Columnar Storage and Compression
- Redshift Spectrum
- Connecting with BI Tools
- Redshift vs RDS vs Aurora
Module 38 - Amazon QuickSight (Business Intelligence)
- Creating dashboards and visuals
- Data sources (S3, RDS, Redshift)
- SPICE engine
- User management and access control
Module 39 - AWS Glue (Data Cataloging and ETL)
- Crawlers and Catalog
- Glue Jobs (Spark & Python Shell)
- Data Lake integration with Athena
Hands-on: ETL pipeline using Glue
Module 40 - Amazon Athena (Serverless SQL)
- Querying data in S3 using SQL
- Integration with Glue Data Catalog
- Cost optimization tips
- Hands-on: Analyze logs in S3
Module 41 - AWS Lake Formation
- Building secure Data Lakes
- Lake Formation vs Glue
- Data Access Control
- Hands-on: Set up a secure data lake
Module 42 - AWS CodeStar
- Rapid DevOps Setup
- Integration with GitHub & CodePipeline
- Role-based access for teams
- Project templates
Module 43 - AWS Cloud9 (Cloud IDE)
- Online IDE setup
- Writing Lambda and Python scripts
- Real-time collaboration
- CLI access to AWS resources
Module 44 - AWS AppConfig (Feature Flags Management)
- Deploy feature flags with safety
- Integration with Lambda and EC2
- Monitoring config changes
Module 45 - AWS Service Catalog
- Centralized application management
- Creating product portfolios
- Governance using tagging
Module 46 - AWS Control Tower
- Centralized application management
- Creating product portfolios
- Governance using tagging
AIOps Trainer Details
INSTRUCTOR
Mr. Ramesh Kumar
Expert & Lead Instructor
8+ Years Experience
About the tutor:
Mr. Ramesh Kumar, our AIOps Trainer, brings over 8+ years of industry experience in IT operations, cloud computing, and AI-driven automation. He has worked with leading MNCs and fast-growing startups in sectors like healthcare, finance, retail, and e-commerce, implementing AI solutions for IT operations at scale.
He specializes in teaching the complete AIOps lifecycle, including event correlation, anomaly detection, predictive analytics, IT automation, and CI/CD pipelines. Mr. Ramesh also covers modern tools and platforms like Docker, Kubernetes, MLflow, Splunk, Nagios, TensorFlow, and cloud services such as AWS, Azure, and GCP. His training approach focuses on hands-on labs, live projects, and real-world scenarios, making learning highly practical and industry-oriented.
Beyond technical training, Mr. Ramesh mentors students in resume building, certification guidance, mock interviews, and career planning, ensuring learners are fully prepared for roles like AIOps Engineer, IT Operations Analyst, and Cloud AI Specialist.
Why Join Our AIOps Institute In Hyderabad
Key Points
- AI-Powered IT Operations
AIOps leverages artificial intelligence to optimize IT operations and workflows.
It helps automate repetitive tasks, reduces manual errors, and improves system efficiency.
Organizations can manage complex IT environments more effectively with AI support.
- Event Correlation
It analyzes multiple alerts and events simultaneously to identify root causes quickly.
Event correlation reduces downtime and prevents unnecessary escalations.
IT teams can respond faster and maintain smooth system performance.
- Anomaly Detection
AIOps detects unusual patterns in networks, servers, or applications automatically.
It flags potential problems before they affect users or business operations.
Proactive detection helps prevent outages and maintain service reliability.
- Predictive Analytics
By analyzing historical data, AIOps forecasts system failures and performance issues.
IT teams can plan maintenance, allocate resources, and prevent unexpected downtime.
This proactive approach improves overall operational stability and efficiency.
- Automation of Tasks
Repetitive IT operations such as monitoring, ticketing, and incident management are automated.
Manual intervention is minimized, allowing IT staff to focus on higher-value tasks.
Automation ensures faster issue resolution and consistent operational performance.
- Real-Time Insights
AIOps provides dashboards and analytics for monitoring IT systems continuously.
Teams can track performance metrics, alerts, and trends in real time.
This enables data-driven decisions and timely action on potential issues.
- Scalability
AIOps solutions scale easily with growing IT infrastructure and increasing data volume.
It supports large enterprise environments without compromising system performance.
Teams can handle expanding operations efficiently with minimal additional effort.
- Cloud Integration
AIOps works seamlessly with cloud platforms like AWS, Azure, and GCP.
It helps monitor cloud resources, automate tasks, and predict cloud performance issues.
This ensures smooth hybrid and multi-cloud IT operations.
- Enhanced Collaboration
AIOps facilitates better collaboration between IT, DevOps, and support teams.
Shared insights and real-time alerts help teams coordinate and resolve issues faster.
This improves overall operational efficiency and reduces downtime across departments.
What is AIOps ?
- AIOps, or Artificial Intelligence for IT Operations, uses AI and machine learning to improve IT workflows. It automates repetitive tasks and ensures systems run efficiently without constant manual intervention.This helps organizations reduce errors and maintain higher uptime across IT environments.
- AIOps performs event correlation by analyzing multiple IT alerts together. It identifies the root cause of issues quickly and prevents unnecessary downtime. IT teams can resolve problems faster, ensuring smoother operations in complex systems.
- AIOps detects unusual patterns in system performance, networks, or applications. It identifies potential failures before they impact users or business processes. This proactive detection reduces risks and improves overall system reliability.
- AIOps uses predictive analytics to forecast IT failures and performance bottlenecks. By analyzing historical trends, teams can plan maintenance and resource allocation effectively. This ensures IT systems remain stable and avoid unexpected disruptions.
- Repetitive tasks like monitoring, incident management, and ticketing are automated by AIOps. Manual intervention is minimized, saving time and effort for IT staff. This leads to faster issue resolution and consistent operational efficiency.
- AIOps provides real-time dashboards and analytics for IT teams to monitor systems. Teams can make data-driven decisions based on performance metrics and alerts. This enables better management of IT resources and proactive problem-solving.
Objectives of the AIOps Training In Hyderabad
- The main objective of AIOps is to automate repetitive IT tasks. It reduces human intervention in routine monitoring and maintenance. This helps teams focus on strategic and critical activities.
- AIOps aims to identify issues before they impact users. Using machine learning and predictive analytics, it monitors anomalies. This ensures minimal downtime and uninterrupted IT services.
- AIOps provides actionable insights from large volumes of data. It uses AI-driven analytics to guide IT teams with quick decisions. This improves accuracy and efficiency in IT operations.
- The goal is to resolve incidents faster with automation and AI. AIOps reduces response times by prioritizing critical alerts effectively. This improves service reliability and customer satisfaction.
- By optimizing IT operations, AIOps reduces operational costs. It increases productivity through automation and better resource management. This helps organizations scale faster with improved performance.
Prerequisites of AIOps
- Learners should have a basic understanding of IT operations, networks, and system infrastructure to easily grasp how AIOps integrates into existing environments.
- Familiarity with artificial intelligence, machine learning, or data science concepts will help in understanding the automation and prediction models used in AIOps.
- A working knowledge of cloud platforms, virtualization, and containerization is important since AIOps is widely applied in hybrid and multi-cloud systems.
- Prior exposure to monitoring, logging, and automation tools provides a strong foundation to explore how AIOps enhances operational efficiency.
- Strong analytical and problem-solving skills are required to interpret system data, identify patterns, and apply AIOps solutions effectively.
Who should learn AIOps course
- IT Operations Professionals – Those working in monitoring, incident management, or support can use AIOps to automate repetitive tasks and improve efficiency.
- System Administrators – Admins who manage servers, networks, and cloud environments can leverage AIOps to detect issues faster and maintain system health.
- DevOps Engineers – Professionals in DevOps can integrate AIOps for smarter workflows, predictive analytics, and real-time performance monitoring.
- Data Analysts & AI Enthusiasts – Learners interested in applying AI and ML to IT operations can benefit from AIOps skills for advanced career growth.
- Cloud & Infrastructure Engineers – Those managing cloud or hybrid systems can adopt AIOps to simplify scaling, troubleshooting, and automation.
- IT Managers & Decision Makers – Leaders aiming to enhance service delivery and reduce downtime can use AIOps to drive business-focused operations.
AIOps Training in Hyderabad
Course Outline
The course begins with an introduction to AIOps, its role in modern IT operations, and how it helps in automation and monitoring.
Students will learn the foundations of artificial intelligence and machine learning, focusing on algorithms used in AIOps.
The program covers big data handling, including processing logs, metrics, and events through scalable pipelines.
You will explore event correlation techniques and noise reduction strategies to minimize false alerts and detect root causes.
The training includes automation in IT operations, covering incident response, ticketing, and remediation workflows.
Learners gain skills in performance monitoring and analytics for predictive maintenance and proactive system health checks.
The course explains managing multi-cloud, on-premise, and hybrid IT environments using AIOps solutions effectively.
Hands-on practice is provided with top AIOps platforms such as Moogsoft, Splunk, Dynatrace, and ServiceNow.
The program concludes with interview preparation, resume building, and placement guidance for successful career outcomes.
AIOps Course 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
AIOps Training In Hyderabad
Career Opportunities
01
AIOps Engineer
Responsible for building and managing AIOps systems, focusing on automation, monitoring, and incident response across IT operations.
02
AI/ML Operations Specialist
Works on applying AI and machine learning techniques to IT operations for predictive analytics, anomaly detection, and optimization.
03
IT Operations Analyst
Monitors large-scale IT environments, analyzes logs and metrics, and supports proactive issue resolution using AIOps platforms.
04
Site Reliability Engineer (SRE)
Ensures system reliability, performance, and uptime by integrating AIOps tools into workflows for efficient problem resolution.
05
Cloud Operations Engineer
Manages hybrid and multi-cloud environments, leveraging AIOps for automation, scalability, and intelligent workload monitoring.
06
AIOps Consultant
Advises businesses on adopting AIOps strategies, selecting the right tools, and implementing automation-driven IT transformation.
AIOps Training Institute In Hyderabad
Skills Developed
Data Analysis Expertise
Ability to analyze logs, metrics, and event data to identify patterns, anomalies, and root causes in IT operations.
Machine Learning Knowledge
Skills in applying ML algorithms for predictive analytics, anomaly detection, and automated decision-making in operations.
Automation Implementation
Capability to design and deploy automated workflows that reduce manual tasks and improve IT system efficiency.
Cloud Operations Mastery
Understanding of hybrid and multi-cloud platforms with expertise in monitoring, scaling, and performance optimization.
Incident Management Skills
Proficiency in identifying, diagnosing, and resolving incidents quickly using AIOps tools and proactive strategies.
Performance Monitoring Ability
Expertise in tracking application and infrastructure health, ensuring continuous availability and reliability of systems.
AIOps Course Online Certifications
- Acts as official proof of your AIOps skills, making you stand out in interviews.
- Helps in promotions and career growth within your current organization.
- Builds trust with employers and clients by showcasing recognized expertise.
- Allows you to apply for high-demand roles in AI-driven IT operations globally.
- Increases salary potential by proving your advanced automation capabilities.
Companies that Hire From AIOps
AIOps Course In Hyderabad
Benefits
- Improve IT Operations Skills
Learn to optimize IT workflows using AI and automation tools.
Gain expertise in anomaly detection, predictive analytics, and monitoring.
These skills make you capable of managing complex IT environments efficiently.
- Hands-On Project Experience
Work on real-world IT operations projects simulating enterprise environments.
Practical exposure helps you apply concepts learned during training.
This ensures you are job-ready with real-time problem-solving experience.
- Recognized Certifications
Get guidance to complete relevant AIOps and cloud certifications.
Certifications validate your skills and increase employability in top IT companies.
It demonstrates your capability to implement AI-driven IT operations effectively.
- Next-Level Opportunities
Training prepares you for roles like AIOps Engineer, IT Analyst, and Cloud AI Specialist.
Enhances your profile for promotions or switching to high-demand AI operations roles.
Focus on career-oriented learning boosts your professional growth potential.
- Automate & Improve
Learn to automate repetitive IT tasks and streamline operational processes.
Reduces manual errors, improves response times, and increases productivity.
Organizations value these efficiency-enhancing skills highly in IT teams.
- Real-Time Problem Solving
Develop the ability to detect, analyze, and resolve IT issues proactively.
Learn to implement AI solutions for faster decision-making and incident resolution.
This practical knowledge ensures smooth IT operations in dynamic environments.
AIOps Course
Placement Opportunities
- Roles in Top IT Companies
- Opportunities in Cloud & DevOps Firms
- Demand in AI & Automation Startups
- Jobs in Finance, Healthcare & Retail
- Global Career Openings with High Packages
AIOps Course
Market Trend
Rapid Market Growth
The AIOps market is expanding at a fast pace as enterprises adopt AI for IT operations. Global demand is projected to grow steadily over the next decade.
Cloud Adoption Driving AIOps
With businesses moving to hybrid and multi-cloud environments, AIOps is becoming essential for seamless monitoring and automation.
Focus on Automation
Enterprises are replacing manual IT processes with AIOps to achieve faster incident resolution and improved efficiency.
Increasing Demand for Skilled Professionals
Organizations are actively seeking AIOps experts who can implement and manage AI-driven operations.
Integration with DevOps
AIOps is now aligning with DevOps practices, enabling continuous monitoring, quick deployment, and reduced downtime.
Real-Time Analytics Usage
Companies are leveraging AIOps for real-time analytics to predict issues, prevent outages, and optimize IT infrastructure.
Rising Enterprise Investments
Enterprises are investing heavily in AIOps tools and training, seeing it as a long-term cost-saving solution.
Strong Career Opportunities
As adoption rises, AIOps is opening high-paying job roles like AIOps Engineer, Cloud Specialist, and Automation Architect.
Frequently Asked questions about AIOps Tranining
FAQs
What is the best AWS training institute in Hyderabad?
There are several top-rated institutes in Hyderabad like Kelly Technologies, Besant Technologies, Aws Masters, and Naresh i Technologies. Look for institutes offering certified trainers, real-time projects, and job support.
Which AWS course is most popular in Hyderabad?
The AWS Certified Solutions Architect – Associate course is the most popular in Hyderabad as it suits both beginners and working professionals aiming to enter cloud computing.
How much does AWS training cost in Hyderabad?
AWS training in Hyderabad typically costs between ₹15,000 to ₹35,000 depending on the course level (Foundational to Advanced) and institute. Online classes may have flexible pricing.
Is AWS certification training available in Ameerpet, Hyderabad?
Yes, Ameerpet is a well-known training hub where many institutes offer comprehensive AWS certification programs with flexible timings and affordable fees.
Can I get job placement after AWS training in Hyderabad?
Many AWS institutes in Hyderabad offer placement assistance, resume building, and mock interviews. However, securing a job depends on your skills and certification level.
Which is better – online or classroom AWS training in Hyderabad?
Both have their benefits. Classroom training offers direct interaction, while online classes offer flexibility. Choose based on your schedule and learning preference.
What is the duration of the AWS course in Hyderabad?
The typical duration is 1 to 2 months for weekday batches and 2 to 3 months for weekend batches, depending on the course level and schedule.
Are there any weekend AWS training batches in Hyderabad?
Yes, most institutes in Hyderabad offer weekend batches for working professionals who cannot attend weekday classes.
Do AWS training institutes in Hyderabad offer certification guidance?
Yes, reputed training centers offer complete guidance for certification exams including study materials, mock tests, and practice sessions.
What are the prerequisites to join AWS training in Hyderabad?
There are no strict prerequisites. Basic knowledge of networking or IT concepts is helpful but not mandatory for foundational courses.
Is AWS training in Hyderabad suitable for freshers?
Absolutely. Many freshers in Hyderabad start their cloud career with AWS training, especially the Solutions Architect – Associate certification.
Are AWS DevOps courses available in Hyderabad?
Yes, several institutes offer combined AWS + DevOps courses, covering tools like Docker, Jenkins, Ansible, and more for automation.
How to choose the right AWS course in Hyderabad?
Identify your career goals—start with foundational courses if you’re a beginner, or go for associate/professional levels if you have experience.
Is AWS training in Hyderabad available with EMI or installment options?
Yes, many training centers in Hyderabad offer EMI facilities or flexible payment options for students and working professionals.
What is the salary after completing AWS certification in Hyderabad?
Entry-level AWS certified professionals in Hyderabad can earn ₹4.5 to ₹6.5 LPA, while experienced professionals can earn ₹10–25 LPA or more.
Are there any government-recognized AWS training centers in Hyderabad?
Some institutes partner with government skill development programs. NSDC-approved centers may also offer AWS training.
Which Hyderabad locations have AWS training centers?
Ameerpet, Hitech City, Kukatpally, SR Nagar, and Dilsukhnagar are major locations with multiple AWS training centers.
Can I take AWS training near Hitech City or Madhapur?
Yes, several premium institutes around Hitech City and Madhapur offer AWS classroom and corporate training options.
How is the job market for AWS professionals in Hyderabad?
Hyderabad is an IT hub with a booming cloud job market. Companies like Amazon, Accenture, Infosys, and startups actively hire AWS professionals.
Is the AWS Solutions Architect course available in Hyderabad?
Yes, this course is available in most institutes. It covers core AWS services, architecture best practices, and exam preparation.
Do AWS training institutes in Hyderabad provide real-time projects?
Yes, reputed training providers give access to real-world projects on EC2, S3, IAM, RDS, and more for hands-on experience.
Can I learn AWS in Telugu in Hyderabad institutes?
Some institutes offer AWS explanations in Telugu, especially in classroom training formats. It helps non-English speaking learners understand better.
Is AWS certification valid globally if done from Hyderabad?
Yes, AWS certifications are issued by Amazon and are globally recognized, regardless of where you take the training.
What tools are covered in AWS DevOps training in Hyderabad?
Common tools include Jenkins, Git, Docker, Terraform, Ansible, CloudFormation, and CI/CD pipelines on AWS.
Are AWS workshops or bootcamps conducted in Hyderabad?
Yes, workshops and weekend bootcamps are frequently conducted by institutes and AWS partners in Hyderabad.
What are the timings for AWS classes in Hyderabad?
Timings vary: Morning (7-9 AM), Daytime (10-2 PM), Evening (6-9 PM), and weekend-only classes are commonly available.
Which AWS certification is best to start with in Hyderabad?
The AWS Certified Cloud Practitioner is best for absolute beginners, while the Solutions Architect – Associate is best for tech-savvy learners.
Do companies in Hyderabad hire certified AWS professionals?
Yes, cloud adoption is rising in Hyderabad, and companies highly value AWS-certified candidates in development, DevOps, and architecture roles.
Are there AWS career counseling services in Hyderabad?
Yes, many training institutes offer one-on-one career counseling sessions, helping you choose the right AWS certification path.
Can I switch careers after AWS training in Hyderabad?
Yes, many professionals from support, networking, or non-IT backgrounds have successfully transitioned to cloud careers through AWS training.