AWS Training and Certification
Unlock your real potential with AWS Training and Certification through live projects.
- Absolute instructor-led training
- Mastery and proficiency over core tools.
- Classroom and online training with doubt-clearing sessions from top industry experts.
- Job Assistance Program with resume building and LinkedIn Profile Optimization.
World-Class Instructors
1:1 with Industry Mentors
55% Avg. Salary Hike
Interview Preparation
Training and Certification in AWS
Enhance your employability with Techpragna’s AWS Training and Certification in Bangalore. Our course equips you with a blend of theoretical instruction and intensive hands-on projects using the AWS Management Console, where you will gain industry experience in cloud computing, deploy scalable web applications, configure secure networking environments, implement monitoring solutions, automate infrastructure provisioning, and build production-ready cloud architectures.
Salient Features – AWS Course
- Valuable hands-on experience with essential tools under the guidance of experienced AWS-certified trainers.
- Scope for enhancing creativity that you can furnish in the industry.
- Basics of DevOps with essential tools
- Online and Offline Bootcamps where you can interact with the presenter and ask related questions.
- Practical learning and hands-on experience using CloudWatch, AWS CLI, etc.
- Showcase the AWS projects in which you used the tools required by the industry.
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Cloud Computing Course Curriculum
Module 1: Cloud Computing & AWS Fundamentals
- Cloud Computing Concepts
- AWS Global Infrastructure
- Shared Responsibility Model
- AWS Management Console
- AWS Free Tier
- Regions & Availability Zones
Module 2: AWS Identity & Access Management (IAM)
- IAM Users & Groups
- Roles & Policies
- Multi-Factor Authentication (MFA)
- Identity Federation
- AWS Organizations
- Security Best Practices
Module 3: Amazon EC2 (Elastic Compute Cloud)
- Launching EC2 Instances
- Instance Types
- AMIs (Amazon Machine Images)
- Security Groups
- Key Pairs
- Auto Scaling & Elastic Load Balancer (ELB)
Module 4: Amazon VPC & Networking
- Virtual Private Cloud (VPC)
- Public & Private Subnets
- Route Tables
- Internet Gateway
- NAT Gateway
- VPC Peering & VPN
Module 5: AWS Storage Services
- Amazon S3
EBS (Elastic Block Store) - EFS (Elastic File System)
- S3 Lifecycle Policies
- Storage Classes
- AWS Backup
Module 6: AWS Databases
- Amazon RDS
- Amazon Aurora
- DynamoDB
- ElastiCache
- Database Migration Service (DMS)
- Backup & Recovery
Module 7: AWS Compute Services
- AWS Lambda
- Elastic Beanstalk
- Amazon ECS
- Amazon EKS
- AWS Fargate
- Serverless Computing
Module 8: AWS Monitoring & Logging
- Amazon CloudWatch
- AWS CloudTrail
- AWS Config
- AWS Health Dashboard
- CloudWatch Alarms
- Log Monitoring
Module 9: AWS Security & Compliance
- AWS IAM Security
- AWS KMS
- AWS Secrets Manager
- AWS WAF
- AWS Shield
- AWS Security Hub
Module 10: AWS DevOps
- CodeCommit
- CodeBuild
- CodeDeploy
- CodePipeline
- CI/CD
- Implementation
- Infrastructure Automation
Module 11: Infrastructure as Code (IaC)
- AWS CloudFormation
- Terraform on AWS
- AWS CDK
- Infrastructure Deployment
- Resource Management
- Automation Best Practices
Module 12: Containers & Kubernetes
- Docker Fundamentals
- Amazon ECS
- Amazon EKS
- Container Registry (Amazon ECR)
- Kubernetes Basics
- Container Deployment
Module 13: Migration & Disaster Recovery
- AWS Migration Hub
- AWS Application Migration Service
- AWS Backup
- Disaster Recovery Strategies
- High Availability
- Business Continuity
Module 14: Data Analytics & AI Services
- Amazon Redshift
- AWS Glue
- Amazon Athena
- Amazon QuickSight
- Amazon SageMaker
- Amazon Bedrock Overview
Module 15: Cost Optimization & Performance
- AWS Cost Explorer
- AWS Budgets
- Trusted Advisor
- Resource Optimization
- Performance Monitoring
- Cost Management Best Practices
Module 16: Capstone Project & Certification Preparation
- End-to-End AWS Infrastructure Deployment
- VPC & Networking Configuration
- EC2, S3 & RDS Deployment
- Security & Monitoring Implementation
- CI/CD Pipeline Setup
- AWS Certification Preparation (Cloud Practitioner & Solutions Architect)
Master In-Demand Skills with Practical, Industry-Based Learning
AWS Cert Training - Career Scope
AWS Cert Training qualifies AWS professionals for the following roles.
AWS Cloud Engineer
Manages the overall AWS Services, including deployment and configuration.
Cloud Administrator
Monitors and maintains cloud environments, manages user access, backups, and configures security for seamless cloud operations.
DevOps Engineer
Uses AWS Services tools for automated application development, infrastructure provisioning, and CI/CD pipelines.
Cloud Solutions Architect
Designs customized cloud architectures that provide security and scalability at affordable rates.
Cloud Security Engineer
Leverages AWS with IAM, encryption, security groups, network ACLs, AWS WAF, and monitoring tools for safeguarding cloud resources.
Cloud Operations Engineer
Uses Amazon CloudWatch to monitor cloud infrastructure. Also, a cloud operations engineer resolves system issues and optimizes resource utilization for high system availability.
Serverless Application Developer
Creates event-driven applications leveraging tools such as AWS Lambda, API Gateway, DynamoDB, and other serverless services to create scalable and efficient solutions.
Cloud Migration Engineer
Plans and designs a blueprint for migrating applications, databases, and workloads from on-premises infrastructure to the AWS cloud platform with minimal downtime.
Infrastructure Automation Engineer
Automates cloud infrastructure provisioning and management using essential tools to accelerate consistent deployment speed.
Site Reliability Engineer
Constantly monitors the cloud application performance using automation tools to maintain its scalability and reliability.
Cloud Support Specialist
Renders technical support for cloud services by troubleshooting issues and assisting end users with deployment, storage, and networking challenges.
Cloud Consultant
Provides expert assistance to the organization in adopting, migrating, and optimizing cloud environments, ensuring best practices for security and performance.
Skills Covered
Cloud Deployment
Infrastructure as Code
AWS/Azure/GCP CLI
Automation Scripting
Cost Optimization
Containerization
IAM
Technical Documentation
Disaster Recovery
Multi-Cloud Governance
Tools Covered in AWS Course
Career Enhancement Services
100% employment support
Helps in Career Planning
Interview Training
Professional and customized mentorship
Overall Development
Profile Enhancement – CV and LinkedIn
How our program works
Enhance Your Skills to Transform Your Career Path
- Industry-relevant curriculum crafted by cloud experts to build in-demand skills.
- Hands-on learning with real-world labs, case studies, and practical projects.
- Learn from AWS-certified trainers with years of industry experience.
- Comprehensive coverage of AWS services, tools, and best practices.
- Get career-ready with resume building, interview preparation, and placement support.
- Hands-on practical learning through real-time labs, live projects, and case studies that simulate real business environments.
Cloud Computing Projects Covered
Cloud Computing Projects Covered
Land Your Dream Job Our Alumni
What You’ll Learn Learn
Accelerate your career in cloud computing with our Cloud Computing Training at Tech Pragna in Bangalore. This comprehensive course equips you with the skills and techniques to design, deploy, and manage cloud infrastructure—perfect for both beginners and working professionals
Cloud Computing Training – Key Features
- AWS, Microsoft Azure, Google Cloud, Docker, Kubernetes, and Terraform
- Cloud deployment, configuration, security, virtualization, and performance optimization
- Hands-On Projects: Work on real-world cloud scenarios and practical implementations
- Understand cloud services like EC2, S3, RDS, Lambda, Load Balancers, and VPCs
- Live online and offline interactive sessions from top industry professionals
- Guaranteed placement support through our career advancement services
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Cloud Computing Course Curriculum
Module 1: Introduction to Cloud Computing
What is Cloud Computing? Evolution and Benefits
Cloud Service Models (IaaS, PaaS, SaaS, FaaS)
Deployment Models (Public, Private, Hybrid, Multi-Cloud)
Key Cloud Providers (AWS, Azure, GCP) and Their Market Share
Cloud Computing Use Cases Across Industries
Cloud Economics (CAPEX vs. OPEX, TCO)
Career Paths (Cloud Architect, DevOps Engineer, Solutions Architect)
Hands-on: Creating a Free Tier Account on AWS/Azure/GCP
Module 2: Cloud Infrastructure & Virtualization
Virtualization Basics (Hypervisors: Type 1 vs. Type 2)
Compute Resources (VMs, Containers, Serverless)
Storage Options (Block, Object, File Storage)
Networking in Cloud (VPC, Subnets, Load Balancers)
Cloud Security Fundamentals (Shared Responsibility Model)
Hands-on: Launching a VM on AWS EC2 / Azure VM
Lab: Configuring Network Security Groups (NSGs)
Case Study: Netflix’s Cloud Migration
Module 3: Cloud Storage & Databases
Cloud Storage Services (AWS S3, Azure Blob, GCP Cloud Storage)
Database Types (RDBMS vs. NoSQL vs. NewSQL)
Managed DB Services (AWS RDS, Azure SQL, GCP Cloud SQL)
Big Data Solutions (AWS Redshift, Azure Synapse, GCP BigQuery)
Data Migration Strategies (AWS DMS, Azure Data Factory)
Hands-on: Uploading Data to S3 and Setting Up an RDS Instance
Lab: Implementing a Serverless Database (AWS DynamoDB)
Disaster Recovery and Backup Solutions
Module 4: Identity & Access Management (IAM)
IAM Fundamentals (Users, Groups, Roles, Policies)
Multi-Factor Authentication (MFA)
Federated Identity (SAML, OAuth, OpenID Connect)
Privileged Access Management (PAM)
Hands-on: Configuring IAM Policies on AWS/Azure
Lab: Setting Up SSO with Azure AD / AWS SSO
Audit and Compliance (AWS CloudTrail, Azure Monitor)
Case Study: Capital One Data Breach Lessons
Module 5: Cloud Networking & Content Delivery
Virtual Private Cloud (VPC) Architecture
Cloud DNS and Load Balancing (ALB, NLB, CDN)
Hybrid Cloud Connectivity (VPN, Direct Connect, ExpressRoute)
Network Security (NACLs, Firewalls, WAF)
Hands-on: Building a Multi-Tier Architecture in AWS/Azure
Lab: Configuring a CDN (AWS CloudFront / Azure CDN)
Monitoring Network Performance (CloudWatch, Azure Network Watcher)
Case Study: How Spotify Uses Cloud Networking
Module 6: Cloud Security & Compliance
Shared Responsibility Model Deep Dive
Data Encryption (At Rest, In Transit, In Use)
Security Tools (AWS GuardDuty, Azure Security Center)
Compliance Standards (GDPR, HIPAA, SOC 2)
Hands-on: Encrypting S3 Buckets and EBS Volumes
Lab: Implementing a Cloud HSM (AWS KMS / Azure Key Vault)
Penetration Testing in Cloud (AWS Inspector, Azure Pentest)
Case Study: SolarWinds Attack and Cloud Implications
Module 7: DevOps & Cloud Automation
Infrastructure as Code (IaC) with Terraform/AWS CDK
CI/CD Pipelines (AWS CodePipeline, Azure DevOps)
Configuration Management (Ansible, Chef, Puppet)
Container Orchestration (Kubernetes vs. ECS vs. AKS)
Hands-on: Deploying Apps with Terraform
Lab: Building a CI/CD Pipeline for a Web App
Monitoring and Logging (CloudWatch, Azure Log Analytics)
Case Study: How Airbnb Uses Cloud Automation
Module 8: Serverless Computing
Serverless Architecture (AWS Lambda, Azure Functions)
Event-Driven Patterns (SQS, SNS, EventBridge)
Microservices vs. Monoliths in Cloud
Hands-on: Creating a Serverless API (API Gateway + Lambda)
Lab: Building a Chatbot with Serverless (AWS Lex)
Cost Optimization in Serverless
Debugging and Monitoring Serverless Apps
Case Study: How Coca-Cola Uses Serverless
Module 9: Cloud Migration & Hybrid Cloud
- Migration Strategies (Rehost, Refactor, Rearchitect)
- Tools (AWS Migration Hub, Azure Migrate)
- Legacy System Modernization
- Hands-on: Migrating an On-Prem VM to Cloud
- Lab: Setting Up a Hybrid Connection (AWS Outposts / Azure Stack)
- Cost Analysis and Optimization (AWS Cost Explorer, Azure Cost Mgmt)
- Case Study: Dropbox’s Cloud Exit (Lessons Learned)
- Future Trends (Edge Computing, Quantum Cloud)
Module 10: Big Data & AI in Cloud
Big Data Services (AWS EMR, Azure HDInsight)
Machine Learning in Cloud (AWS SageMaker, Azure ML)
AI Services (Rekognition, Cognitive Services)
Hands-on: Training an ML Model on Cloud
Lab: Building a Data Pipeline (AWS Glue / Azure Data Factory)
IoT and Cloud Integration (AWS IoT Core, Azure IoT Hub)
Case Study: How Tesla Uses Cloud AI
Ethics in Cloud AI
Module 11: Advanced Cloud Architectures
Multi-Cloud Strategies (Anthos, AWS Outposts)
High Availability (HA) and Fault Tolerance
Disaster Recovery (Pilot Light, Warm Standby)
Hands-on: Designing a Multi-Region Architecture
Lab: Auto-Scaling and Load Testing
Cloud-Native Design Patterns
Case Study: Netflix’s Chaos Engineering
Preparing for Cloud Certifications (AWS/Azure/GCP)
Module 12: Capstone Project & Career Prep
Real-World Cloud Project (Migration, SaaS App Deployment)
Building a Cloud Portfolio (GitHub, Blog)
Resume Tips for Cloud Roles
Mock Interviews (Scenario-Based Questions)
Certifications Roadmap (AWS/Azure/GCP)
Freelancing vs. Corporate Cloud Careers
Cloud Communities and Open Source Contributions
Final Presentation: Architecting a Cloud Solution
Career Services
Placement Assistance
Personalized Guidance
Mock Interview Preparation
One-on-One Mentoring session
Career Oriented Seesions
Resume & LinkedIn Profile Building
Land Your Dream Job Our Alumni
Training and Certification AWS FAQs
1. What do you mean by AWS?
Answer:
AWS, like other cloud platforms, offers services that organizations require for creating and scaling applications.
2.What is the objective for AWS Certification Training?
Answer:
- The objective of AWS Certification Training is to provide comprehensive coverage of AWS Systems and apps.
- Provide extensive coverage of multiple EC2 instances using Elastic Load Balancing.
- Become future-ready on data ingress and AWS egress techniques through hands-on projects.
- Provide cost-effective designs on-premises.
- Face the interview with confidence.
3. Why should we opt for AWS Training?
Answer:
AWS courses are one of the most trending technologies in the industry. Hence, its certifications are among the highest-paying on Forbes’ list. According to Gartner’s Magic Quadrant, AWS’s track record as an innovator is evident. The most important aspect is that you can get the certification without quitting your job.
4. What is the course duration for AWS training?
The course duration of the instructor-led AWS certification program can be completed within 4-12 weeks, depending on the course level.
5. Are there any prerequisites for learning AWS?
Absolutely not. However, if you have a basic understanding of networking, Linux, or operating systems, you can learn the advanced versions more quickly.
6. Does the course help me secure AWS Certification for better prospects?
Of Course! Our AWS training covers hands-on projects, exam-oriented content, sample and mock tests, interview preparations, and valuable tips to secure much-needed certification.
Cloud Computing Training FAQs
What tools will I use in cloud computing?
Answer:
Infrastructure as Code (IaC): Terraform, AWS CloudFormation.
Containers: Docker, Kubernetes.
CI/CD: Jenkins, GitHub Actions.
Monitoring: AWS CloudWatch, Azure Monitor
How do I practice cloud skills?
Answer:
Free tiers: AWS Free Tier, Azure $200 credit.
Labs: Qwiklabs, Cloud Academy.
Projects: Deploy a website, build a serverless app.
What’s the difference between DevOps and cloud computing?
Answer:
Cloud Computing: Focuses on delivering services (storage, VMs, databases).
DevOps: Uses cloud tools to automate software delivery (CI/CD, IaC)
What programming languages are useful for cloud?
Automation: Python, Bash.
Infrastructure: Terraform (HCL), YAML/JSON.
DevOps: Go, Ruby (for scripting).
Do you provide placement assistance?
Yes, many programs offer placement support, interview preparation, and resume building services
Is this course available online or offline?
Tech Pragna are offered in both online and offline
What’s the hardest part of learning cloud computing?
Complexity: Managing multi-cloud environments.
Security: Understanding shared responsibility models.
Cost control: Avoiding unexpected cloud bills.
What Our Learners Have To Say
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