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Python & cloud automation Curriculum updated for 2026 Course completion certificate

Python with AWS Training in Hyderabad

Learn Python from the basics through OOP, then AWS — EC2, S3, IAM, VPC, Lambda, RDS, CloudWatch and CloudFormation — with production-ready techniques and hands-on labs on real AWS accounts.

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Python with AWS Training in Hyderabad — VR IT Solutions Ameerpet

Python with AWS Introduction

AWS is a cloud platform with resources available for almost all use cases in the IT industry. The challenge is that you cannot scale those resources with the click of a button — you need tools like Terraform, CloudFormation, Serverless, or third-party SDKs in real time. In practice, most teams use the Python SDK (boto3) to communicate between AWS resources for everyday needs. This Python with AWS training in Hyderabad covers all types of production-ready techniques without skipping the fundamentals of each service.

Training → Placement → Job Support 100% Placement Assistance + Job Support
  • Interview support & resume preparation
  • Interview referrals until you get placed
  • Real-time job support after you join a company
How it works

Course highlights

  • Production-ready techniquesReal-world techniques you can apply on the job straight away.
  • Hands-on labs on AWSBuild real resources, write Python scripts and see the results live.
  • Working cloud professionalsTrainers bring real AWS production experience.
  • Recorded sessionsWeekday and weekend batches, with recordings shared after every class.

Skills you’ll learn

  • Python
  • OOP
  • Regular Expressions
  • Multithreading
  • Linux Basics
  • EC2
  • EBS
  • ELB
  • Auto Scaling
  • S3
  • Glacier
  • IAM
  • VPC
  • Route 53
  • CloudWatch
  • SNS
  • SQS
  • SES
  • Elastic Beanstalk
  • RDS
  • CloudFront
  • ElastiCache
  • CloudFormation
  • AWS CLI

VR IT Solutions is one of the best institutes for Python with AWS training in Hyderabad, offering a well-focused, career-oriented programme that covers boto3, AWS Python examples, and hands-on work with the most widely used AWS services. Whether you prefer classroom sessions at our Ameerpet centre or Python with AWS online training, we have flexible batches to match your schedule. Students from Kukatpally, Madhapur, Hitech City, and Kondapur regularly attend our sessions.

Why Learn Python with AWS?

Python has become the default language for AWS automation, infrastructure scripting, and serverless development. Companies across Hyderabad's IT corridor — from startups in Hitech City to established MNCs in Madhapur — need engineers who can write boto3 scripts, automate EC2 and S3 workflows, build Lambda functions, and manage cloud infrastructure programmatically. The Python with AWS certification course in Hyderabad at VR IT Solutions is structured to make you that engineer — someone who is comfortable both with Python programming and with the full breadth of AWS services used in production environments. AWS-certified professionals with Python skills in Hyderabad earn between ₹7 LPA for freshers and ₹22–28 LPA for experienced cloud developers.

Who Can Attend This Course?

  • Python developers who want to move into cloud and DevOps roles
  • AWS professionals who want to automate their workflows using Python
  • System administrators and network engineers exploring cloud automation
  • Software engineers looking to transition into cloud engineering
  • Fresh graduates targeting cloud and DevOps job roles in Hyderabad
  • IT professionals preparing for AWS certification alongside Python scripting skills

Prerequisites

Basic knowledge of any programming language is helpful. Familiarity with Linux commands is an added advantage. Our trainers cover Python fundamentals and Linux basics within the course itself, so you can join even without a strong prior background.

Python with AWS Course Syllabus

PDF
Full Python with AWS curriculum 42 modules · 255 topics · 275 KB
42 modules, 255 topics
  • What is Python?
  • The Birth of Python, Python Timeline, Features of Python, Versions of Python
  • Installation of Python, Python Documentation, Getting Help
  • Python Editors and IDEs, Basic Syntax, Running a Python Script
  • Python Scripts on UNIX/Windows
  • Keywords, Data Types, Variables, Naming Conventions, Print(),Type(),Id() Functions
  • Input(), Raw_input() functions, Conversion functions, Del Keyword
  • What is String?
  • Single-quoted string literals, Tripe-quoted string literals
  • String Indexing, String Slicing
  • Working with String Functions, Working with String Methods
  • Arithmetic Operators, Relational Operators, Logical Operators
  • Assignment Operators, Short Hand Assignment Operators, Bitwise Operators
  • Membership Operators, Identity Operators
  • About Flow Control, Conditional Statements (Simple if, if…else, if…elif…)
  • Looping Statements ( while loop, while … else, for loop, infinite loop, nested loops)
  • Break, Continue, Pass
  • About Sequences, List, Multi-Dimensional Arrays, Tuples
  • Indexing and Slicing, Iterating through a sequence, Functions for all sequences
  • Operators and keywords for sequences, The xrange() function, Nest sequences
  • List comprehensions, Generator expressions, Yeld vs return, Iterators and Generators
  • About Dictionaries, When to use dictionaries, Creating Dictionaries
  • Getting dictionary values, Iterating through a dictionary, Reading file data into a dictionary
  • Counting with dictionaries, About sets, Creating sets, Working with sets
  • Defining a function, Calling a function, Function Parameters
  • Returning Values, Variables scope, Call by value, Call by reference
  • Passing collections to a function, Passing functions to function, Lamda function
  • What is a module?
  • Creating user defined module, Setting path, The import statement, Module search path
  • From … Import, Module Aliases, Dir function
  • Working with Standard modules ( Math, Random, Date and time, Os and sys, String,….)
  • Introduction to Packages, Executing Modules as Scripts, Packages in Multiple Directories
  • Fancier Output Formatting, Compiled Python Files, Types of Compiled Python Files
  • Compatibility of Compiled Python Files
  • Syntax Errors,
  • What is Exception?,
  • Need of Exception handling, Predefined Exceptions, Predefined Exceptions Hierarchy
  • Except, try, finally clause, Handling Multiple Exceptions, User defined Exceptions
  • Raise, assert statements
  • Opening a file, Closing a file, Writing data to files
  • Reading a data from files, Tell(),Seek() functions, Working with Directories
  • About OO programming, Defining Classes, Creating object
  • Class methods and data, Static methods, Private methods
  • Constructors, Destructors, Inheritance
  • Types of inheritances, Polymorphism (over loading & over riding), Data hiding
  • What is regular expression?
  • Wild card characters, Forming regular expressions, Character classes
  • Quantifiers, Greedy matches, Grouping, Match, Serach functions
  • Matching vs searching, Sub function, Splitting a string, Replacing text, Flags
  • Defining a thread, Starting a thread, Threading module
  • Threads synchronization, Multithreaded priority queue
  • A Short History, Client Server Computing Concepts, Challenges with Distributed Computing
  • Introduction to Cloud Computing
  • Why Cloud Computing?
  • Benefits of Cloud Computing
  • Private Cloud, Public Cloud, Hybrid Cloud
  • Software as a Service (SaaS), Platform as a Service(PaaS), Infrastructure as a Service (IaaS)
  • Linux basic Commands, Linux basic Administration
  • Amazon Elastic Compute Cloud(EC2)
  • Amazon Simple Storage Service (S3)
  • Elastic Block Storage (EBS)
  • Elastic Load Balancing (ELB)
  • Amazon Relational Database Service (RDS)
  • Amazon DynamoDB
  • Auto Scaling
  • Amazon ElastiCache
  • Identity and Access Management (IAM)
  • Virtual Private Cloud (VPC)
  • loud Formation
  • Simple Email Services (SES)
  • Simple Queue Services (SQS)
  • Simple Notification Services (SNS)
  • Server less computing (Lambda)
  • Import/Export (Snowball)
  • Code Commit
  • Cloud Trail
  • Elastic Beanstack
  • Cloud Front
  • Route-53
  • Glacier
  • Key Management Service (KMS)
  • RSubscription to AWS
  • Introduction to the AWS Management Console
  • Regions and Availability Zones - Choose the right Region
  • Amazon Machine Images (AMI)
  • Working with AMIs
  • Choosing the right AMI
  • Deciding what goes into an AMI
  • Finding the right AMI
  • Pricing model in EC2 instances
  • On-demand, Reserved, Scheduled, Spot instances, Dedicated Hosts
  • EC2 Reserved Instance Marketplace
  • Importing and Exporting Instances
  • Building an EC2 Windows instance & Linux Instance
  • Bootstrapping with user-data
  • Setting up security
  • Security with Key Pairs
  • Working with the Security Group
  • Different IPs assigned to an EC2 instance
  • Assigning Elastic IPs
  • Login/Access to the instance
  • Creating your own custom AMI, Registering & Granting access to the AMI
  • Placement groups
  • EC2 instance protection
  • Instance Roles
  • Importing and Exporting Instances
  • Elastic Network Interfaces(ENIs)
  • Resources and Tags
  • Accessing Meta-Data & use cases.
  • Elastic Block Store (EBS)
  • EBS Volume Types
  • EBS Encryption
  • EBS Performance
  • Instance Store volumes
  • Instance Stores Available on Instance Types
  • Instance Store Usage Scenarios
  • Adding Instance Store Volumes to an AMI
  • Optimizing Disk Performance
  • Creating and deleting volumes
  • Attaching and detaching volumes
  • Mounting and Unmounting the attached volume
  • Increasing the volume size
  • Creating snapshots
  • Creating Volumes & AMIs from Snapshots.
  • Cross-Region snapshot copy & use cases.
  • What Is Elastic Load Balancing
  • How Elastic Load Balancing Works
  • Classic & App ELB types.
  • Creating load balancer
  • Internal & External Load balancers
  • Load balancing protocols
  • Listener Configurations
  • SSL Negotiation Configurations
  • Attach & Detach Subnets
  • Security groups for the load balancer
  • Configure health check for the load balancer
  • Adding multiple instances to the load balancer
  • Custom Domain Names
  • Cross-Zone Load Balancing
  • DNS Failover
  • Sticky Sessions
  • Monitoring and Logging
  • Cross-zone load balancing
  • Connection Draining
  • ELB traffic logging
  • What is auto scaling
  • Auto scaling components
  • Benefits of auto scaling
  • Creating launch configuration, and its prerequisites.
  • Creating Auto Scaling Groups (ASG)
  • Attach & Detach EC2 Instances in ASG
  • Configuration of auto scaling policies based on the Load on EC2 instances.
  • Using Auto scaling with Elastic Load balancer (ELB).
  • Temporarily Removing Instances
  • Suspend and Resume Process
  • Shut Down Your Auto Scaling Process
  • Monitoring Your Auto Scaling Instances
  • Health Checks
  • Getting Notifications When Your Auto Scaling Group Changes
  • Creating and deleting buckets, Adding objects to buckets
  • Getting objects, Deleting objects, Notifications
  • Uses of S3 storage,Working with Permissions of S3, Access Control, Bucket policy
  • S3 Data encryption types, Enable Versioning, Logging for S3 objects
  • Lifecycle rules in s3, Accessing S3 storage with Tools
  • Hosting a Static Website, Cross-Origin Resource Sharing
  • Cross-region replication, Audit Logging with AWS CloudTrail
  • Creating Vaults, Working with Archives
  • Accessing the Glacier vault using tools
  • Using Glacier for backups, Job Operations, Data Retrieval Policy Operations
  • Creation of user accounts, Setting up multi factor Authentication (MFA)
  • Roles in IAM, Groups in IAM, Delegation of permissions for users
  • Creation of custom policies for delegation, Using Identity Providers
  • Cross-Account Access, Account settings, Credential Report
  • Encryption - Key Management Service (KMS)
  • Different types of networks that can be setup in AWS
  • Creating a custom VPC,NACLs & Security Groups
  • Creation of Internet Gateway(IGW),Connecting to instances in the gateway
  • Subnets, Route Tables & Association,NAT Instances & NAT-Gateways
  • DHCP Options Sets & DNS
  • VPC Peering, VPN overview & components
  • Configuring Amazon Route 53 as Your DNS Service
  • Registering a Domain Name and Configuring Amazon Route 53 as the DNS Service
  • Migrating DNS Service for an Existing Domain to Amazon Route 53
  • Creating a Subdomain That Uses Amazon Route 53 without Migrating the Parent Domain
  • Working with Public Hosted Zones
  • Working with Private Hosted Zones
  • Working with Resource Record Sets
  • Health Checks and DNS Failover
  • Creating, Updating, and Deleting Health Checks
  • Transferring a Domain from a Different AWS Account or Registrar
  • Using IAM to Control Access to Amazon Route 53 Resources
  • Debugging cloud related issues
  • Monitoring the AWS Service Health Dashboard
  • Monitoring with Cloud watch
  • Getting statistics for a specific EC2 instance
  • Getting aggregated statistics
  • Metrics for other AWS Services and related namespaces
  • Setting up notifications
  • Creation of a topic
  • Subscribing to topic via Email
  • Setting notification for EC2 instance changes
  • Creation of a queue
  • Sending messages to the queue
  • Sending SNS to SQS
  • Retrieving messages from SQS
  • Setting up email domain
  • Limits of SES
  • Test Email setup
  • Creation of Web-App using Elastic Beanstalk
  • Building a sample application using Beanstalk
  • Modifying the properties of the deployment.
  • DB Instances
  • Selecting the DB-Engine
  • Configuring the Database Server
  • Creating your Database
  • Setting up automatic backups, snapshots & restores
  • Authorizing access to the DB with RDS Security Groups
  • DB Instance Replication
  • Security: Using IAM to Manage Access to Amazon RDS Resources
  • RDS Limits
  • Managing MySql Database server
  • DB Instance Life Cycle: Renaming a DB Instance
  • Deleting or Rebooting a DB Instance
  • Working with Storage Types
  • Upgrading a DB Instance
  • Working with Option Groups & DB Parameter Groups
  • Working with Reserved DB Instances
  • Monitoring
  • Database Log Files
  • How CloudFront Delivers Content
  • Working with Distributions
  • Working with Web Distributions
  • Working with Objects
  • Request and Response Behaviour
  • Serving Private Content through CloudFront
  • Using an HTTPS Connection to Access Your Objects
  • Using IAM to Control Access to CloudFront Resources
  • Monitoring CloudFront Activity Using CloudWatch
  • ElastiCache Terminology and Concepts
  • Backup and Restore
  • Clusters Explanation ( Memcached and Redis )
  • CloudWatch Metrics with ElastiCache
  • Managing ElastiCache
  • Managing Replication Groups
  • DNS Names and Underlying IP
  • Building AWS infrastructure as a code
  • Utilization of Sample templates
  • Introduction to JSON
  • Cloud Architecture Best Practices
  • Cost Optimization
  • Security Considerations
  • Cost Calculation
  • AWS CLI & use case to check instance, ELB, EBS states
  • Building a simple web application in the AWS cloud
  • Certification Track & guidance

Why Choose VR IT Solutions for Python with AWS Training?

Production-Ready Techniques

This is not a basic cloud awareness course. Every module covers real-world, production-ready techniques that you can apply immediately on the job. From writing boto3 automation scripts to configuring Auto Scaling with ELB, every session is built around what actually happens in enterprise AWS environments.

Hands-On Practical Sessions

Every concept is followed by a hands-on lab. You work on actual AWS accounts, build real resources, write Python scripts, and see the results live. This is what sets our Python with AWS training in Hyderabad apart from other institutes in Ameerpet.

Expert Trainers

Our trainers are working cloud professionals — not just teachers. They bring real project experience from AWS production environments and give you insights that go beyond what any textbook covers.

Flexible Batches

Weekend and weekday batches are available. Online sessions are also open to students and professionals across India. Recorded sessions are shared after every class so you never fall behind.

After successful completion, VR IT Solutions provides 100% placement support including resume preparation, Python with AWS interview questions, and mock sessions. We offer a 100% placement guaranteed programme for deserving students.

From your first class to your first project at work

We stay with you after the course ends — through interviews, placement, and your first months on the job.

  1. Free demo classMeet the trainer and see how classes run before you pay.
  2. Live trainingOnline or classroom at Ameerpet, with hands-on practice every session.
  3. Real-time projectWork through a real implementation scenario from start to finish.
  4. Course certificateGet your course completion certificate from VR IT Solutions.
  5. Resume & mock interviewsResume review and practice interviews with experienced professionals.
  6. Placement assistanceInterview referrals and guidance until you get placed.
  7. Job supportStuck on a task in your new job? Our trainers help you solve it.

What our students say on Google

G4.7★★★★★See all reviews on Google
D
Dasarath ReddyAugust 2025 · Google review
★★★★★
Hi I'm Dasararh
I have Join VRIT Solutions to transform my future. VRIT is the right place to sharpen your Salesforce training skills while gaining cutting-edge experience through real time examples and live projects. Faculty covered in real time examples and practical oriented I joined this course in 2025 and now working in a reputed healthcare company.I would strongly recommended to chose VR IT Solutions for Salesforce online training .
Thanks again for VR IT .
Salesforce student
N
Narendra KumarMarch 2025 · Google review
★★★★★
One of the top institutes for training, with faculty member Ashok Kumar being highly knowledgeable in the subject.
A
Anusha MJuly 2025 · Google review
★★★★★
VR IT Solutions is one of the best training center for Clinical SAS in Hyderabad.I recently completed SAS training at VR IT Solutions, and it was an excellent experience...
The course covered Base SAS, SQL, Macros, and SDTM/ADaM mapping basics, especially for advanced topics like SAS Macros, making complex concepts easy to understand. which are extremely valuable for anyone aiming to build a career in Clinical SAS programming.
I highly recommend VR IT Solutions to anyone looking to build or advance their SAS career.
SAS Clinical student
Best Python with AWS Training Institute in Hyderabad
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  • Afternoon12 – 2 PM
  • Evening6 – 8 PM
  • WeekendSat & Sun
  • Fast trackOn request
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  • Mock interviews
  • Job support

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Python with AWS Online Training in USA, UK & Canada

Looking for Python with AWS online training from the USA, UK or Canada? Join our live online batches from anywhere — classes run in time slots that suit your time zone, every session is recorded for revision, and you get the same real-time project, certificate and placement support as our Hyderabad students.

  • USAEST & PST evening slots
  • UKGMT / BST slots
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  • WeekendSat & Sun, all time zones
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Python With AWS Training FAQs | VR IT Solutions

AWS is a cloud platform offering resources for almost every IT use case, but those resources cannot be efficiently scaled and managed by clicking buttons in a console. Python with AWS training teaches you to automate and scale AWS infrastructure using Boto3, Terraform, CloudFormation, Serverless frameworks, and other real-time SDKs that engineers use in actual enterprise cloud environments.

You will learn Python scripting, Boto3 for AWS automation, EC2, S3, Lambda, IAM, VPC, CloudFormation templates, AWS CLI scripting, serverless application development, and end-to-end cloud automation project implementation.

No prior cloud experience is needed. Our trainers start from Python scripting basics and introduce AWS concepts progressively, building your skills from foundational automation scripts to advanced cloud infrastructure management.

The training is completed in 45 to 60 days. Morning, evening, and weekend batch options are available for both students and working professionals looking to transition into cloud automation roles.

The AWS Certified Solutions Architect Associate and AWS Certified Developer Associate are the most relevant certifications for this career path. Our trainers provide complete study materials and mock exam practice aligned to the latest certification versions.

Python AWS professionals typically earn between 6 and 15 LPA at entry level in India. With 3 to 5 years of hands-on cloud automation experience, salaries commonly range from 20 to 40 LPA in product companies, cloud consulting firms, and technology services organizations.

Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.

We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.

Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.

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