AI Course Review
Terraform on AWS with SRE & IaC DevOps | Real-World 20 Demos
8.3
AI Course Score
- Instructor
- Kalyan Reddy Daida | DevOps & SRE Architect on AWS, Azure & Google Cloud Platforms
- Udemy rating
- 4.5 / 5
- Reviews
- 3,487
- Duration
- 22 sections, 141 lectures, 20h 53m total
- Level
- advanced level
- Last updated
- 3/2026
Strengths
- Very broad, well-structured curriculum: 22 sections covering Terraform fundamentals through VPC 3-tier, EC2, CLB/ALB/NLB, Auto Scaling, Route53, RDS, CloudWatch, modules, remote state and CodePipeline CI/CD
- Strong hands-on orientation: the lecture list shows step-by-step demos that build real AWS architectures (VPC 3-tier, DNS-to-DB, ALB routing variants) rather than just explaining theory
- Thorough coverage of Terraform language concepts, including all variable assignment methods, locals, outputs, data sources, for_each/count, for-loops, splat operators, provisioners, null_resource, and module authoring
- Includes production-relevant topics such as S3 + DynamoDB remote state with locking, remote state datasource, and IaC CI/CD with CodeBuild/CodePipeline
- Recently updated (3/2026) with a large, well-reviewed footprint (4.5 rating from ~3,500 reviews) and about 21 hours of content
- Covers installation on macOS, Windows and Linux, so setup is accessible across platforms
Weaknesses
- Labeled 'advanced' but starts with installation and basic commands, so level positioning is inconsistent and it is effectively beginner-to-intermediate
- Heavy focus on AWS classic/legacy items (Classic Load Balancer, Launch Configurations, Amazon Linux 2 AMI) that AWS has deprecated or is phasing out; some content may be dated despite the recent update date
- The title and description are inconsistent about the number of demos (20 vs. 22), and the 'SRE' angle appears limited to CloudWatch alarms from the visible information
- Prerequisites are not clearly stated; there is only a 'pre-requisite note' lecture whose content is not shown, and AWS account/cost expectations are unclear
- Many lectures are short (4-10 min) and descriptions suggest a follow-along style, so conceptual depth on topics like state management, testing, or advanced module design may be limited
- The visible curriculum is truncated after the fifth section, so coverage of later sections can only be inferred from the description
Best for
Learners with basic AWS and cloud knowledge who want a project-driven, end-to-end path from Terraform basics to building multi-tier AWS infrastructure with modules, remote state and a CI/CD pipeline.
Not recommended for
Experienced Terraform practitioners seeking advanced topics (testing, large-scale workspace/organization patterns, policy-as-code), people who want multi-cloud coverage, or those who want only modern AWS patterns without legacy services like CLB and Launch Configurations.