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AWS Certifications Become AWS Certified with Insta InfoTech®

AWS (Amazon Web Services) is the world's leading cloud computing platform, offering a wide range of certifications for IT professionals seeking to validate their cloud computing skills. At Insta Infotech®, we provide structured AWS training programs designed to help learners understand core cloud concepts and prepare for AWS certification exams.

The training covers essential AWS services, cloud architecture principles, deployment strategies, and practical implementation through guided labs and real-world scenarios.

AWS Course & Certifications
Modern cloud computing learning

AWS Cloud

Learn how modern applications are deployed, scaled, secured, and monitored on Amazon Web Services — with practical training, portfolio-focused projects, and career-oriented learning built around real cloud infrastructure workflows.

Certificate
You will get Medhavi Skills Certificate
Partnership
Insta Infotech × Medhavi Skills University
Recognition
NCrF aligned learning pathway
Cloud architecture
EC2 & Lambda
Virtual servers and serverless compute
Compute
 
S3, RDS & DynamoDB
Object storage and managed databases
Storage
 
IAM, VPC & CloudWatch
Security, networking, and observability
Ops

Compute, storage, and operations — each service taught as part of one real cloud application.

 
Program overview

More than basic tutorials.

This course focuses on applied cloud engineering rather than isolated service walkthroughs. Students move from core AWS fundamentals to deploying full applications, understand how compute, storage, networking, and security fit together, and build the confidence to architect, deploy, and present cloud projects professionally.

01 / Build complete systems
Real infrastructure, not isolated demos.

Work across compute, storage, networking, IAM, CI/CD pipelines, and monitoring as one connected cloud deployment.

02 / Think in layers
System thinking

Understand how requests travel across Route 53, CloudFront, load balancers, EC2, and managed databases in production.

03 / Career signal
Portfolio and interview prep

Shape your cloud projects into something you can present on your resume, GitHub, and job interviews.

 
Learning journey

A clearer learning flow.

The progression is shown as a structured sequence — foundations to compute, storage, security, integration, and deployment — not just a flat list of services.

Step 01
Foundations
Cloud concepts, AWS console, IAM, and global infrastructure.
Step 02
Compute & Storage
EC2, Lambda, S3, RDS, and Auto Scaling.
Step 03
Networking & Security
VPC, subnets, security groups, Route 53, and CloudFront.
Step 04
Integration
API Gateway, SQS, SNS, and event-driven workflows.
Step 05
Deployment
CI/CD with CodePipeline, CloudWatch, and capstone launch.
 
Syllabus

Structured for job-relevant output.

Topics organized into clean thematic groups so the section feels premium and is easy to scan.

Core cloud
  • AWS global infrastructure and regions
  • IAM users, roles, and policies
  • EC2 instances and S3 storage
Services and scale
  • Lambda and serverless architecture
  • RDS, DynamoDB, and ElastiCache
  • VPC, subnets, and load balancers
Ops and launch
  • CloudWatch monitoring and alerts
  • CI/CD with CodePipeline
  • Capstone project
 
Certification and recognition

Make the credential visible, not buried.

You will receive a Medhavi Skills Certificate. The program is presented through Insta Infotech's partnership with Medhavi Skills University, and the learning pathway is aligned with the National Credit Framework (NCrF).

Why this matters
 
Certificate visibility
Now highlighted in the hero and repeated in the certification block.
 
University partnership
Medhavi Skills University is treated as a trust signal, not a small footer note.
 
Recognition cue
NCrF alignment is framed as a formal learner benefit.

Module 1: Cloud Concepts
  • Introduction to Cloud Computing
  • Benefits of Cloud Computing
  • Types of Cloud Models (Public, Private, Hybrid)
  • Cloud Computing Deployment Models
  • Scalability, Elasticity, and Agility
Module 2: AWS Global Infrastructure
  • Overview of AWS Global Infrastructure
  • Regions, Availability Zones, and Edge Locations
  • Content Delivery with AWS Edge Locations
Module 3: AWS Core Services
  • Compute Services (EC2, Lambda, Elastic Beanstalk)
  • Storage Services (S3, EBS, EFS, Glacier)
  • Database Services (RDS, DynamoDB, Redshift)
  • Networking Services (VPC, Route 53, CloudFront)
Module 4: Security and Compliance
  • Shared Responsibility Model
  • AWS Identity and Access Management (IAM)
  • Security Groups and Network ACLs
  • Encryption and Data Protection
  • AWS Compliance and Governance
Module 5: AWS Pricing and Billing
  • AWS Free Tier Overview
  • Pay-as-you-go Pricing Model
  • AWS Cost Management Tools
  • Total Cost of Ownership (TCO) Calculator
Module 6: AWS Support and Documentation
  • AWS Support Plans
  • AWS Well-Architected Framework
  • AWS Whitepapers and Documentation
  • AWS Training and Certification Resources
Module 7: Cloud Adoption and Migration
  • Cloud Adoption Framework (CAF)
  • Migration Strategies and Best Practices
  • AWS Migration Hub
Module 8: AWS Cloud Best Practices
  • High Availability and Fault Tolerance
  • Monitoring and Logging with AWS CloudWatch
  • Security Best Practices in AWS
  • Automation and Resource Optimization

Module 1: Introduction to AWS and Cloud Computing
  • Overview of Cloud Computing
  • AWS Global Infrastructure
  • AWS Shared Responsibility Model
  • Key AWS Services Overview
Module 2: Identity and Access Management (IAM)
  • Introduction to IAM
  • Users, Groups, and Roles
  • IAM Policies and Permissions
  • Multi-Factor Authentication (MFA)
Module 3: AWS Compute Services
  • Amazon EC2 Instances
  • EC2 Auto Scaling and Load Balancing
  • Serverless Computing with AWS Lambda
  • Elastic Beanstalk and Container Services (ECS, EKS, Fargate)
Module 4: AWS Storage Services
  • Amazon S3 and Storage Classes
  • Amazon Elastic Block Store (EBS)
  • Amazon Elastic File System (EFS)
  • Amazon S3 Lifecycle Policies and Versioning
Module 5: AWS Database Services
  • Amazon RDS and Aurora
  • Amazon DynamoDB - NoSQL Database
  • Amazon Redshift - Data Warehousing
  • Database Migration Services (DMS)
Module 6: AWS Networking and Content Delivery
  • Amazon VPC - Virtual Private Cloud
  • VPC Peering, VPN, and Direct Connect
  • Amazon Route 53 - DNS Management
  • Amazon CloudFront - Content Delivery Network (CDN)
Module 7: Security and Compliance
  • AWS Security Best Practices
  • AWS Key Management Service (KMS)
  • Encryption and Data Protection
  • Monitoring and Logging (AWS CloudTrail & CloudWatch)
Module 8: High Availability and Fault Tolerance
  • Designing for High Availability
  • Elastic Load Balancing (ELB) and Auto Scaling
  • Multi-Region Deployment Strategies
  • Disaster Recovery and Backup Solutions
Module 9: AWS Cost Optimization
  • AWS Pricing Models
  • Cost Optimization Strategies
  • AWS Budgets and Cost Explorer
  • Total Cost of Ownership (TCO) and AWS Calculator
Module 10: AWS Well-Architected Framework
  • Introduction to AWS Well-Architected Framework
  • Pillars of a Well-Architected Application
  • Designing Secure and Reliable Applications
  • Performance and Cost Optimization
Module 11: Exam Preparation and Practice
  • Exam Overview and Study Tips
  • Practice Questions and Mock Tests
  • Case Studies and Real-World Scenarios
  • Final Review and Recap

Module 1: Introduction to AWS and Cloud Development
  • Overview of Cloud Computing and AWS
  • AWS Global Infrastructure
  • Shared Responsibility Model
  • Introduction to AWS Developer Tools
Module 2: AWS Identity and Access Management (IAM)
  • Understanding IAM Users, Roles, and Policies
  • IAM Best Practices for Developers
  • Managing API Keys and Access Control
Module 3: AWS Compute Services for Developers
  • Amazon EC2 for Development
  • Introduction to AWS Lambda (Serverless Computing)
  • Elastic Beanstalk for Application Deployment
  • Container Services: ECS, EKS, and Fargate
Module 4: AWS Storage and Databases
  • Amazon S3 - Object Storage for Applications
  • Amazon DynamoDB - NoSQL Database for Developers
  • Amazon RDS - Relational Databases for Developers
  • Amazon ElastiCache - Caching for Performance
Module 5: API Development and AWS SDKs
  • RESTful APIs with Amazon API Gateway
  • Using AWS SDKs for Python, Java, and Node.js
  • Developing and Integrating with AWS Lambda
  • Handling Authentication with Cognito
Module 6: Messaging and Event-Driven Architecture
  • Amazon Simple Notification Service (SNS)
  • Amazon Simple Queue Service (SQS)
  • EventBridge for Serverless Event Handling
  • Amazon Kinesis for Real-time Streaming
Module 7: Monitoring, Debugging, and Logging
  • Using Amazon CloudWatch for Monitoring
  • AWS X-Ray for Tracing and Debugging
  • Logging with AWS CloudTrail
  • Performance Optimization for Applications
Module 8: CI/CD and DevOps on AWS
  • Introduction to CI/CD Pipelines
  • Using AWS CodeCommit for Source Control
  • Building with AWS CodeBuild
  • Deploying Applications with AWS CodeDeploy
  • Orchestrating CI/CD with AWS CodePipeline
Module 9: Security Best Practices for Developers
  • Data Encryption with KMS and Secrets Manager
  • Application Security Best Practices
  • Using IAM Roles for Secure Access
  • Protecting APIs with AWS WAF
Module 10: AWS Well-Architected Framework for Developers
  • Overview of AWS Well-Architected Framework
  • Operational Excellence in Development
  • Performance and Cost Optimization Strategies
  • Reliability and Security Considerations
Module 11: Exam Preparation and Practice
  • Exam Structure and Question Types
  • Practice Questions and Mock Tests
  • Case Studies and Real-World Scenarios
  • Final Review and Exam Tips

Module 1: Introduction to AWS and System Operations
  • Overview of AWS and Cloud Computing
  • AWS Global Infrastructure
  • Shared Responsibility Model
  • SysOps Role and Responsibilities
Module 2: Identity and Access Management (IAM)
  • Introduction to IAM
  • Users, Groups, and Roles
  • IAM Policies and Permissions
  • Multi-Factor Authentication (MFA) and Security Best Practices
Module 3: Compute Services and Management
  • Amazon EC2 Instances and Management
  • Elastic Load Balancing (ELB) and Auto Scaling
  • AWS Systems Manager for EC2 Management
  • Amazon Lambda and Serverless Management
Module 4: AWS Storage Management
  • Amazon S3 Storage Management and Lifecycle Policies
  • Amazon EBS and EFS
  • Amazon Glacier for Backup and Archival
  • Storage Monitoring and Optimization
Module 5: Database Administration
  • Amazon RDS Management
  • Amazon DynamoDB Monitoring and Backup
  • Amazon Redshift - Data Warehousing
  • Database Migration and Backups
Module 6: Networking and Security
  • Amazon VPC Design and Configuration
  • Security Groups and Network ACLs
  • AWS VPN, Direct Connect, and Peering
  • Amazon Route 53 and CloudFront
Module 7: Monitoring, Logging, and Troubleshooting
  • Amazon CloudWatch - Metrics, Logs, and Alarms
  • AWS CloudTrail for Auditing
  • AWS Config for Compliance
  • Troubleshooting AWS Services
Module 8: Automation and Infrastructure as Code (IaC)
  • Introduction to Infrastructure as Code (IaC)
  • AWS CloudFormation for Automation
  • AWS OpsWorks for Configuration Management
  • AWS Lambda for Automation
Module 9: Cost Optimization and Billing
  • AWS Pricing Models
  • AWS Cost Explorer and Budgets
  • Resource Optimization and Cost Saving Strategies
  • Monitoring Billing and Usage
Module 10: High Availability and Disaster Recovery
  • Designing for High Availability
  • Multi-AZ and Multi-Region Deployments
  • Disaster Recovery Strategies
  • Backup and Restore Best Practices
Module 11: AWS Well-Architected Framework
  • Overview of the AWS Well-Architected Framework
  • Operational Excellence Best Practices
  • Security, Reliability, and Performance Optimization
  • Compliance and Governance Considerations
Module 12: Exam Preparation and Practice
  • Exam Overview and Key Topics
  • Practice Tests and Mock Exams
  • Case Studies and Real-World Scenarios
  • Final Review and Study Strategies

Module 1: Advanced AWS Architectural Design
  • Understanding AWS Well-Architected Framework
  • Designing Scalable and Fault-Tolerant Architectures
  • Choosing the Right AWS Services for Workloads
  • Hybrid Cloud and Multi-Cloud Strategies
Module 2: AWS Compute Optimization
  • Optimizing EC2 Instances and Auto Scaling
  • Serverless Architectures with AWS Lambda
  • Containerization with ECS, EKS, and Fargate
  • Batch Processing and Event-Driven Architectures
Module 3: Advanced Networking and Content Delivery
  • Amazon VPC Advanced Configurations
  • Direct Connect, VPN, and PrivateLink
  • Hybrid Connectivity Strategies
  • Amazon CloudFront and Route 53 Optimizations
Module 4: Storage and Database Optimization
  • Data Lifecycle and Storage Tiers (S3, EBS, EFS, Glacier)
  • Database Performance Tuning (RDS, Aurora, DynamoDB, Redshift)
  • Data Replication and Multi-Region Storage
  • Designing Highly Available and Scalable Databases
Module 5: Security and Compliance at Scale
  • AWS Identity and Access Management (IAM) Advanced Features
  • Encryption Strategies (KMS, HSM, ACM, Secrets Manager)
  • Network Security (Security Groups, NACLs, WAF, Shield, GuardDuty)
  • Compliance Frameworks (PCI DSS, HIPAA, GDPR, SOC 2)
Module 6: Cost Optimization and Performance Efficiency
  • AWS Pricing Models and Cost Management
  • Auto Scaling and Resource Optimization
  • Using AWS Compute Savings Plans and Reserved Instances
  • Monitoring and Performance Tuning (CloudWatch, X-Ray, Trusted Advisor)
Module 7: Disaster Recovery and Business Continuity
  • Designing Disaster Recovery Strategies
  • Multi-Region Replication and Failover
  • Backup Solutions with AWS Backup and Storage Gateway
  • RTO & RPO Considerations for Mission-Critical Applications
Module 8: Migration and Hybrid Cloud Solutions
  • AWS Migration Services (DMS, SMS, AWS Migration Hub)
  • Hybrid Cloud Architectures with AWS Outposts and Snowball
  • On-Premises to AWS Migration Strategies
  • Cloud Adoption Framework (CAF) and Best Practices
Module 9: Machine Learning and Big Data Architectures
  • Introduction to AWS AI/ML Services (SageMaker, Rekognition, Comprehend)
  • Big Data Processing with AWS Glue, Kinesis, and Athena
  • Data Lakes and Analytics with AWS Lake Formation
  • Integrating ML and Analytics into Cloud Applications
Module 10: Exam Preparation and Real-World Scenarios
  • Understanding the AWS Certified Solutions Architect – Professional Exam
  • Hands-on Labs and Case Studies
  • Mock Tests and Practice Questions
  • Final Review and Strategy for Exam Success

Module 1: Introduction to DevOps on AWS
  • Overview of DevOps Principles
  • Benefits of DevOps Practices
  • DevOps Tools and AWS Services
  • Infrastructure as Code (IaC) Overview
Module 2: AWS DevOps Tools and Services
  • AWS CodeCommit - Source Control
  • AWS CodeBuild - Continuous Integration
  • AWS CodeDeploy - Automated Deployment
  • AWS CodePipeline - CI/CD Workflow
Module 3: Continuous Integration and Continuous Deployment (CI/CD)
  • Building CI/CD Pipelines
  • Automating Code Deployments
  • Testing and Deployment Strategies
  • Canary and Blue-Green Deployments
Module 4: Infrastructure as Code (IaC) with AWS
  • Introduction to IaC
  • Using AWS CloudFormation
  • Terraform vs CloudFormation
  • Managing Infrastructure with AWS CDK
Module 5: Monitoring, Logging, and Performance Optimization
  • AWS CloudWatch - Monitoring and Alerts
  • AWS CloudTrail - Audit and Compliance
  • Amazon OpenSearch (Elasticsearch) and Kibana
  • Application Performance Monitoring
Module 6: Security, Compliance, and Governance
  • AWS Identity and Access Management (IAM)
  • AWS Key Management Service (KMS)
  • Security Groups and Network ACLs
  • AWS Config and Compliance Monitoring
Module 7: High Availability and Fault Tolerance
  • Designing for High Availability
  • Auto Scaling and Elastic Load Balancing (ELB)
  • Disaster Recovery Strategies
  • Multi-Region Deployment
Module 8: Serverless and Containerization
  • AWS Lambda - Serverless Computing
  • Amazon ECS and Fargate - Container Orchestration
  • Amazon EKS - Kubernetes on AWS
  • Monitoring and Scaling Containers
Module 9: Automation and Configuration Management
  • AWS Systems Manager for Automation
  • Using AWS OpsWorks and Chef/Puppet
  • Event-Driven Automation with AWS Lambda
  • Automated Security and Patch Management
Module 10: Cost Optimization and Resource Management
  • AWS Budgets and Cost Explorer
  • Optimizing Compute and Storage Costs
  • Instance and Auto Scaling Strategies
  • Serverless Cost Management
Module 11: Exam Preparation and Practice
  • Exam Format and Key Topics
  • Practice Questions and Mock Tests
  • Case Studies and Real-World Scenarios
  • Final Review and Study Plan

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Certificate and Accreditation

Accreditation Certificate

Professional Diploma Certificate

Skills Certificate

Brand Registration

Trust & Validation

UGC-Recognized Skilled Qualifications for the Modern Global Workforce

University Certification
University Certification

Earn industry-relevant Certificates and Diplomas awarded by Medhavi Skills University, a UGC-recognized University. Insta Infotech is Approved Training Partner of Medhavi Skills University, ensuring quality education and credible certification.

Certificate Verification
Certificate Verification

All Certificates and Diplomas are digitally verifiable through Government of India platforms, including Skill India Digital Hub (MSDE), ABC.gov.in (Ministry of Education), and DigiLocker, ensuring authenticity and nationwide recognition.

Credit-Based Course (NCrF)
Credit-Based Course (NCrF)

Our courses are aligned with the National Credit Framework (NCrF) under the National Education Policy (NEP) 2020. Learners earn academic credits that strengthen their skill-based education profile and can be seamlessly transferred toward higher education pathways.

Global Recognition
Global Recognition

NCrF-aligned skill credits are recognized across the UK, EU, and Australian education systems. Through MSU’s global partnerships, learners benefit from dual certification opportunities and accelerated pathways to international degree programs.

Skill India Mission
Skill India Mission

Insta Infotech empowers learners with future-ready skills. Backed by the Skill India Mission and our academic partnership with Medhavi Skills University, we bridge the gap between education and employment through practical, hands-on learning and nationally recognized certifications.

Placement Support
Placement Support

Quality Skill Education — this is not merely a certificate of attendance, but a verified academic credential that enhances credibility and opens opportunities across MNCs, embassies, and government sectors.

Specializations

Skilled, Qualification, Certification

Course Credibility

Course Credibility

Our programs are certified by a recognized university, ensuring legal authenticity, academic validity, and strong professional acceptance. This means your qualification carries real value for employment, career advancement, and higher education.

Employability

Employability

Our programs combine practical training, real-world projects, and industry-relevant skills to prepare students for immediate employment. we ensure learners confidently transition from education to professional careers.

Global Standards

Global Standards

Our programs follow internationally aligned curricula and current industry requirements, ensuring learners gain globally relevant knowledge, practical competencies, and professional practices. This prepares students to adapt, compete, and work confidently.

National Alignment (Skill India)

National Alignment (Skill India)

Aligned with the Skill India Mission, we transform vocational training into a nationally recognized qualification, enabling our students to become part of India’s formal skilled workforce.

Academic Mobility (Credit-Based)

Academic Mobility (Credit-Based)

Through the National Credit Framework (NCrF), our courses are not merely extra-curricular; they are credit-earning modules that contribute directly toward your formal higher education pathway.

NEP 2020 Integration

NEP 2020 Integration

Aligned with the National Education Policy 2020, we transform traditional IT education into a multidisciplinary, skilled-based vocational pathway that enables students to earn formal academic credits.

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What We Offer

At Insta Infotech, we specialize in a wide array of courses across domains like:

Programming Languages: Java, Python, C++, .NET, and more. Data Science & Analytics: Machine Learning, AI, Big Data. Cloud Computing & DevOps: AWS, Azure, Docker, Kubernetes. Cybersecurity: Ethical Hacking, Network Security. Digital Marketing: SEO, Social Media, Content Marketing. Database Management: SQL, PL/SQL, MongoDB, Oracle.
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