Course Overview
AI for Cloud Infrastructure: Automating AWS with StationOps
Master AI–driven cloud automation on AWS and learn how to deploy, scale, and troubleshoot infrastructure using StationOps with minimal manual effort.
What you will learn
- ✓ Set up and configure AWS and StationOps for AI–powered automation.
- ✓ Deploy and manage three–tier architectures on AWS.
- ✓ Launch serverless applications using simplified StationOps workflows.
- ✓ Use StationOps to streamline infrastructure deployment with minimal code.
- ✓ Evolve and update applications across development, staging, and production.
- ✓ Connect custom domains to your cloud applications.
- ✓ Monitor and manage AWS costs with built–in insights.
- ✓ Troubleshoot build and deployment errors using AI diagnostics.
- ✓ Leverage agentic incident response to resolve issues automatically.
- ✓ Apply modern DevOps, serverless, and infrastructure–as–code practices.
Requirements
- • Basic understanding of cloud computing concepts is helpful but not mandatory.
- • A free AWS account and a StationOps account (the course shows how to create them).
- • A computer with internet access to follow along with the hands–on demos.
- • Interest in DevOps, AWS, or AI automation in real cloud environments.
Course overview
AI for Cloud Infrastructure: Automating AWS with StationOps is a practical course that shows you how to use AI to build and manage cloud infrastructure on Amazon Web Services. Instead of configuring everything manually, you will learn how StationOps automates deployments, error handling, and multi–environment setups.
You will start by creating your AWS and StationOps accounts, then move into deploying real workloads: three–tier and serverless architectures, custom domains, and cost monitoring. Along the way, you will see how AI–driven workflows can diagnose issues, fix failed builds, and orchestrate changes safely across environments.
Inside the course you will:
- • Automate AWS deployments using StationOps blueprints and guided workflows.
- • Launch sample applications and manage them across dev, staging, and production.
- • Configure agentic incident response to react to infrastructure problems in real time.
- • Integrate custom domains and verify that applications are reachable and secure.
- • Track AWS spending and understand how automation impacts cost and performance.
Why use AI for cloud infrastructure?
Traditional AWS setups can be slow and complex, especially for small teams or solo developers. By using AI and opinionated workflows, StationOps removes much of the manual configuration and lets you focus on features, not templates and scripts. This course shows you how to get production–ready deployments without needing deep DevOps expertise.
By the end, you will know how to combine AWS services with AI automation to ship faster, recover from errors quickly, and keep your infrastructure tidy and maintainable.
Who this course is for
- • Aspiring cloud engineers and DevOps professionals who want to automate AWS workflows.
- • Developers who need to deploy and manage infrastructure without deep DevOps background.
- • Startup founders and small teams who want to scale applications efficiently.
- • Students and professionals exploring modern DevOps, serverless, and IaC practices.
- • Anyone interested in using AI to simplify and speed up cloud infrastructure tasks.
Course snapshot
- Total sections: 6
- Lectures: 20
- Total duration: 1 hour (approx.)
- Level: Beginner
- Format: Video lessons + 1 article
- Access: Lifetime access on web, mobile and TV
- Certificate: Udemy certificate of completion
Sample lessons
Student feedback
Overall rating: 4.3 out of 5 • Based on 40+ reviews
Learners highlight the course as a clear and practical way to understand how AI can manage AWS infrastructure and reduce day–to–day DevOps workload.
About the instructors
Anton Voroniuk is a GenAI expert and Google Academy trainer who has helped more than one million students learn AI and digital marketing. He focuses on practical use of AI tools to save time and grow real products and businesses.
Conor O Codlatain Lachtna brings over 10 years of experience building scalable cloud infrastructure for high–growth companies, working in DevOps and platform engineering roles at enterprises and startups.
Anton Voroniuk Support and the Skillsbooster team provide additional guidance and support so students can apply the workflows and techniques covered in the course.
Added on: 01 Dec 2025, 6:01 AM
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