AWS Cloud Technology
- Description
- Curriculum
- FAQ
- Notice
- Reviews
The AWS Cloud Technology course is designed to provide learners with a comprehensive understanding of Amazon Web Services (AWS), cloud computing, and cloud-based infrastructure management. This course covers the fundamentals of cloud computing, AWS core services, networking, security, serverless computing, DevOps automation, and AI-powered cloud solutions. By the end of this course, learners will be equipped with the skills needed to design, deploy, and manage scalable cloud applications using AWS.
The course begins with an introduction to AWS global infrastructure, cloud service models (IaaS, PaaS, SaaS), and key AWS services such as Amazon EC2, S3, RDS, and DynamoDB. Learners will explore virtual networking with AWS VPC, Route 53 (DNS Management), and CloudFront (CDN) to optimize application performance. Security best practices will also be covered, including AWS IAM (Identity & Access Management), Multi-Factor Authentication (MFA), Web Application Firewall (WAF), and CloudTrail for auditing and compliance.
As the course progresses, students will gain hands-on experience with serverless computing by deploying AWS Lambda functions, API Gateway, and event-driven architectures. They will also learn Infrastructure as Code (IaC) with AWS CloudFormation, enabling them to automate and scale cloud infrastructure efficiently. The course further explores DevOps tools such as AWS CodeCommit, CodePipeline, and Kubernetes (EKS) for CI/CD pipeline automation and containerized deployments.
Additionally, learners will explore AI & Machine Learning services on AWS, including Amazon SageMaker for ML model training, AWS Rekognition for image processing, and Polly for text-to-speech applications. The course also covers AWS cost management strategies to optimize cloud expenses using AWS Cost Explorer and Pricing Calculator.
Throughout the course, students will work on real-world projects, such as deploying a scalable web application on AWS, automating cloud infrastructure with CloudFormation, setting up a serverless API using AWS Lambda, and implementing CI/CD pipelines for cloud deployments. These hands-on projects will help learners build a strong portfolio, preparing them for roles such as Cloud Engineer, AWS Solutions Architect, DevOps Engineer, and Cloud Security Specialist.
By the end of the course, participants will have mastered AWS cloud services, networking, security, DevOps, and AI integration, making them job-ready for cloud computing and AWS-related roles in top organizations.
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1
Day 1-2: Introduction to Cloud Computing- What is Cloud Computing?
- Cloud Service Models (IaaS, PaaS, SaaS)
- Public, Private, and Hybrid Cloud
- Overview of AWS, Azure, and Google Cloud
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2
Day 3-4: AWS Global Infrastructure & AWS Free Tier Setup
- AWS Regions & Availability Zones
- Setting up AWS Free Tier Account
- AWS Management Console Overview
- Billing & Cost Management
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3
Day 5-6: Amazon EC2 (Elastic Compute Cloud)
- What is EC2? Instances & Pricing Models
- Launching EC2 instances (Linux & Windows)
- Configuring Security Groups & Key Pairs
- Elastic Load Balancing (ELB) & Auto Scaling
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4
Day 7-8: Amazon S3 (Simple Storage Service)
- Introduction to Object Storage & S3 Buckets
- S3 Lifecycle Policies & Storage Classes
- Versioning & Access Control Lists (ACLs)
- Hosting a Static Website on S3
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5
Day 9-10: Amazon RDS & DynamoDB
- Introduction to Amazon RDS (Relational Database Service)
- Creating & Managing RDS Instances (MySQL, PostgreSQL)
- DynamoDB (NoSQL Database) Overview
- Data Replication & Backup Strategies
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6
Day 11-12: AWS Networking & Identity Management
- AWS VPC (Virtual Private Cloud) – Subnets, Routing, NAT, VPN
- AWS IAM (Identity & Access Management) – Roles & Policies
- AWS CloudFront (CDN) & Route 53 (DNS Management)
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7
Day 13-14: AWS Lambda & API Gateway
- Introduction to Serverless Computing
- Creating AWS Lambda Functions (Python, Node.js)
- Event-Driven Computing with AWS Lambda
- Deploying APIs with Amazon API Gateway
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8
Day 15-16: AWS CloudFormation & Infrastructure as Code (IaC)
- Introduction to AWS CloudFormation
- Writing CloudFormation Templates
- Automating Infrastructure Deployment
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9
Day 17-18: AWS Elastic Beanstalk & Containers
- Deploying Applications with AWS Elastic Beanstalk
- Introduction to Docker & Amazon Elastic Container Service (ECS)
- Running Containers on AWS Fargate
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10
Day 19-20: AWS Security & Compliance
- AWS Shared Responsibility Model
- Implementing Security Best Practices
- AWS WAF (Web Application Firewall) & Shield
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11
Day 21-22: AWS Monitoring & Logging
- AWS CloudWatch for Monitoring Metrics
- AWS CloudTrail for Auditing & Logging
- Setting Up Alarms & Notifications
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12
Day 23-24: AWS Identity & Access Management (IAM) Deep Dive
- Fine-Grained IAM Roles & Policies
- Multi-Factor Authentication (MFA) & Access Keys
- AWS Organizations & Resource Access Manager
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13
Day 25-26: AWS DevOps Tools
- Introduction to DevOps on AWS
- AWS CodeCommit (Git Repository)
- AWS CodeBuild (Continuous Integration)
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14
Day 27-28: AWS CodePipeline & CodeDeploy
- CI/CD Pipeline Setup using AWS CodePipeline
- Automating Deployments with AWS CodeDeploy
- Rolling & Blue-Green Deployment Strategies
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15
Day 29-30: AWS Kubernetes & EKS (Elastic Kubernetes Service)
- introduction to Kubernetes on AWS
- Deploying Applications using Amazon EKS
- Managing Kubernetes Clusters with kubectl
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16
Day 31-32: AWS Machine Learning & AI Services
- Introduction to AWS AI & ML Services
- Using Amazon SageMaker for Machine Learning
- AWS Rekognition (Image Processing) & Polly (Text-to-Speech)
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17
Day 33-34: AWS Cost Optimization & Best Practices
- AWS Pricing Calculator & Cost Explorer
- Cost Optimization Techniques for AWS Services
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18
Day 35-36: Capstone Project & Final Deployment
- End-to-End Cloud Deployment Project
- Deploying a Scalable Web Application on AWS
- Best Practices for Cloud Security & Performance
otMid-level (2-5 years): ₹12-20 LPA (India), $100K-$140K (USA)
otSenior-level (5+ years): ₹20-40 LPA (India), $140K-$200K (USA)
Skills You Will Learn in the AWS Cloud Technology Course
AWS Cloud Fundamentals
- Understanding Cloud Computing Concepts (IaaS, PaaS, SaaS)
- AWS Global Infrastructure (Regions, Availability Zones, Edge Locations)
- AWS Free Tier Setup & Billing Management
Compute & Storage Services
- Launching & Managing Amazon EC2 Instances
- Elastic Load Balancing (ELB) & Auto Scaling
- Amazon S3 (Simple Storage Service) for Object Storage
- Lifecycle Policies & S3 Static Website Hosting
Database & Networking
- Working with Amazon RDS (MySQL, PostgreSQL, Aurora)
- NoSQL Databases with Amazon DynamoDB
- AWS VPC (Virtual Private Cloud) – Subnets, Routing, NAT, VPN
- AWS Route 53 (DNS Management) & CloudFront (CDN)
Serverless Computing & Infrastructure as Code (IaC)
- Deploying AWS Lambda Functions (Python, Node.js)
- Managing APIs with Amazon API Gateway
- Automating Infrastructure Deployment with AWS CloudFormation
Security & Identity Management
- AWS IAM (Identity & Access Management) – Users, Roles, Policies
- Implementing Multi-Factor Authentication (MFA)
- AWS WAF (Web Application Firewall) & Shield for DDoS Protection
- Security Compliance & Auditing with AWS CloudTrail
AWS Monitoring & Cost Optimization
- AWS CloudWatch for Monitoring Metrics & Logs
- Cost Optimization Strategies using AWS Pricing Calculator & Cost Explorer
- Setting Up Alerts & Notifications
DevOps & CI/CD Automation
- AWS CodeCommit (Git), CodeBuild, CodeDeploy, CodePipeline
- Building CI/CD Pipelines for Cloud Deployments
- Container Orchestration with Amazon ECS & Kubernetes (EKS)
Machine Learning & AI Services on AWS
- Using Amazon SageMaker for ML Model Training & Deployment
- AWS Rekognition (Image Processing), Polly (Text-to-Speech), and Textract (OCR)
Real-World Hands-on Projects
- Deploying a Scalable Web Application on AWS
- Setting Up a Serverless API with AWS Lambda & API Gateway
- Automating Infrastructure Deployment with AWS CloudFormation
- Building a CI/CD Pipeline using AWS DevOps Tools
By the end of this course, you will have industry-ready cloud computing skills to deploy, manage, and optimize secure, scalable, and cost-efficient cloud solutions on AWS, preparing you for roles in Cloud Engineering, AWS DevOps, and Solutions Architecture.
