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Aws Engineering Program

Master DevOps with AI integration, hands-on projects & industry-recognized certifications.

⭐⭐⭐⭐⭐4.8 (200 reviews)👥 Students Enrolled
⏱ 6 Months
🔥 3 Days FREE Demo
▶ Live Online Classes
📈 Intermediate to Advanced

Course Highlights

  • ✔ 3 Days FREE Demo – Experience before you commit
  • ✔ AI-integrated DevOps lifecycle training
  • ✔ Live online classes with AI-powered labs
  • ✔ Certifications from AWS, Azure & GCP
  • ✔ 10+ real-time projects & 30+ case studies
  • ✔ Learn from 10+ years experienced mentors
  • ✔ Lifetime access to course materials
  • ✔ Corporate etiquette & soft-skills training
  • ✔ Mock interviews & placement support

Course Overview

These cloud computing web services provide various services related to networking, compute, storage, middleware, IoT and other processing capacity, as well as software tools via AWS server farms. This frees clients from managing, scaling, and patching hardware and operating systems. One of the foundational services is Amazon Elastic Compute Cloud (EC2), which allows users to have at their disposal a virtual cluster of computers, with extremely high availability, which can be interacted with over the internet via REST APIs, a CLI or the AWS console

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Skills You'll Learn

  • AWS Management Console, CLI & IAM User/Role Management
  • EC2 Instance Launch, Security Groups & Key Pair Configuration
  • Virtual Private Cloud (VPC), Subnets, Route Tables & NAT Gateway
  • Load Balancing (ALB / NLB) & Auto Scaling Setup
  • Storage Management with S3, EBS & EFS
  • Database Setup & Management with RDS, DynamoDB & Aurora
  • Serverless Architecture using AWS Lambda & API Gateway
  • Container Services with ECS, EKS & Docker
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Tools & Technologies

  • EC2 (Elastic Compute Cloud)
  • AWS Lambda
  • Elastic Load Balancer (ALB / NLB)
  • Amazon S3
  • Amazon EBS
  • AWS CodePipeline
  • AWS CodeBuild
  • Security Groups & Network ACL

Detailed Curriculum

Comprehensive learning path designed by industry experts

Module 1 - Introduction to AWS Cloud

4 Topics

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Module 2: Compute Services

4 Topics

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Module 3: Storage Services

4 Topics

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Module 4: Networking and Content Delivery

5 Topics

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Module 5: Security, Identity, and Compliance

5 Topics

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Module 6: Monitoring and Logging

4 Topics

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Module 7: Automation and DevOps

5 Topics

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Module 8: Advanced Networking and Architectures

5 Topics

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Module 9: Machine Learning, Big Data, and Advanced Topics

6 Topics

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