100 Days of AWS: From Cloud Basics to Real-World Mastery

100 Days of AWS: From Cloud Basics to Real‑World Mastery by School of AI is a comprehensive Udemy course that takes you from fundamental cloud concepts to advanced, production‑grade AWS solutions. Updated July 2026, this free‑coupon‑eligible training covers everything you need to learn AWS online, earn a certification‑ready portfolio, and ace AWS interview questions. Whether you search for a free AWS course, an AWS Udemy course, or simply want to learn cloud computing in a structured 100‑day path, this program delivers practical labs, real‑world projects, and a recognized Udemy certificate.

What You'll Learn

• Build secure virtual networks, VPCs, and subnets across multiple AWS regions.
• Master EC2 instance provisioning, EBS storage, and Elastic Load Balancing for resilient workloads.
• Learn IAM policies, KMS encryption, and AWS Organizations to enforce cloud security best practices.
• Understand serverless architectures using Lambda, API Gateway, DynamoDB, and Step Functions.
• Create CI/CD pipelines with CodePipeline, CodeBuild, CodeDeploy, CloudFormation, and AWS SAM.
• Implement containerized solutions on ECS, Fargate, ECR, and Amazon EKS with GitOps workflows.
• Apply monitoring, logging, and observability techniques with CloudWatch, CloudTrail, X‑Ray, and AWS Config.
• Analyze data lake formation, ETL pipelines, and analytics dashboards using Glue, Athena, Redshift, and QuickSight.

Course Details

• Instructor: School of AI
• Rating: 5.0 stars (based on student reviews)
• Language: English (en‑US)
• Certificate: Yes, upon completion
• Includes: Lifetime access, hands‑on labs, real‑world project files

What This Course Covers

Foundations & Core AWS Services

• Core AWS concepts, global infrastructure, regions, and Availability Zones
• AWS Free Tier, billing alerts, and account security fundamentals
• EC2, S3, EBS, VPC, Elastic Load Balancing, and Auto Scaling basics

Serverless & Event‑Driven Architecture

• Lambda functions, API Gateway, and DynamoDB integration
• EventBridge, Step Functions, and serverless workflow design
• Building fully managed, cost‑effective APIs and background processing

Containers & DevOps Automation

• Amazon ECS, Fargate, and ECR for container orchestration
• Amazon EKS with Helm, Argo CD, and GitOps pipelines
• CodePipeline, CodeBuild, CodeDeploy, and infrastructure as code with CloudFormation & SAM

Security, Governance & Cost Optimization

• IAM roles, policies, KMS encryption, and Secrets Manager
• AWS Organizations, Service Control Policies, Control Tower, and Security Hub
• Cost‑optimization strategies, budgeting, and disaster‑recovery patterns

Data Engineering & Machine Learning

• Glue crawlers, Athena queries, Redshift data warehousing, and Kinesis streams
• Building data lakes with Lake Formation and visualizing insights in QuickSight
• Introductory SageMaker notebooks and generative AI with Amazon Bedrock

Capstone Projects & Certification Prep

• Portfolio‑ready serverless web app, containerized microservices, and analytics platform
• AWS interview scenario exercises, mock exams, and certification blueprint mapping
• Final presentation and cheat‑sheet creation for AWS certification exams

Who Should Take This Course

• Beginners who need a structured 100‑day AWS learning path.
• Software developers wanting to deploy applications on AWS.
• System administrators transitioning to cloud engineering roles.
• DevOps engineers seeking hands‑on automation and CI/CD experience.
• Data professionals interested in AWS analytics, data lakes, and AI services.

Prerequisites

• No prior experience needed — this course is beginner‑friendly.
• Basic familiarity with operating systems and command‑line tools is helpful but not required.

Why Enroll in This Course

This Udemy training delivers a complete, end‑to‑end AWS curriculum that balances theory with extensive labs, making it ideal for both career changers and seasoned IT pros. A free coupon provides 100 % off for a limited time, so you can start learning today without any financial barrier. Compared with other AWS courses, this program offers a 100‑day roadmap, portfolio‑grade projects, and dedicated interview preparation, ensuring you graduate ready for real‑world cloud roles.

Course Highlights

• Lifetime access to all video lectures, labs, and project files.
• Self‑paced learning allows you to progress at your own speed.
• Certificate of completion that can be added to LinkedIn or resumes.
• Hands‑on labs covering over 30 AWS services and real‑world scenarios.
• Portfolio‑ready projects that showcase cloud architecture skills to employers.
• Mobile‑friendly content lets you study on tablets or smartphones.

Frequently Asked Questions

Q: Is this course really free?
A: Yes. By applying the available Udemy free coupon, you can enroll at 100 % off for the duration of the promotion. The course remains free as long as the coupon is active.

Q: What will I learn in this AWS course?
A: You will master core AWS services, serverless computing, container orchestration, security best practices, data engineering, and machine‑learning workflows. The curriculum also includes CI/CD automation, cost optimization, and interview preparation.

Q: Do I get a certificate after completing this course?
A: Absolutely. Upon finishing all lectures, labs, and the capstone project, Udemy issues a certificate of completion that you can share on professional networks.

Q: Is this course suitable for beginners?
A: Yes. The program starts with foundational cloud concepts and gradually progresses to advanced topics, making it ideal for newcomers as well as experienced professionals seeking a structured path.

Q: How long do I have to enroll for free?
A: The free coupon is available for a limited time and typically expires after a few weeks. Enroll as soon as possible to secure the 100 % discount before the promotion ends.

Final Thoughts

100 Days of AWS: From Cloud Basics to Real‑World Mastery equips beginners and seasoned technologists alike with the skills, projects, and certification readiness needed to thrive in