SRE Efficient: How AI Transforms Reliability Engineering
COURSE INFO
Instructor
Douglas Mugnos
Level
Any Level
Course Duration
5 hours
Certificate of Completion
Description
In this training, I’ll revisit what makes SRE essential to organizations and show you how AI is not just a passing hype, but a transformative force that’s here to stay. We, as SREs, have always been the unicorns of IT, and now we have AI as a powerful ally.
More than ever, having a broad, generalist understanding across various pillars of best practices is incredibly important for SREs. It empowers us to provide the right context and knowledge when interacting with AI, enabling us to get insightful answers and meet business needs more effectively. In other words, our ability to be generalists—understanding a wide range of domains—allows us to leverage AI more precisely and tailor it to our unique challenges.
So come join me! In this course, I’ll not only refresh the core concepts of SRE and its importance, but also explain the essential AI knowledge that every SRE should have. And of course, I’ll include demos—like creating and generating insights with AI-driven agents—so you can see firsthand the potential AI brings to the world of SRE.
Ready to step into the future of site reliability engineering with AI?
What you will learn
- You will learn how to apply core SRE principles in real-world scenarios using AI as a reliability multiplier.
- You will understand how the SRE role is evolving in the age of AI and what truly changes—and what does not.
- You will learn how to make better reliability and risk decisions with AI support, without losing human accountability.
- You will practice reducing operational toil by identifying and safely automating repetitive tasks with AI assistance.
- You will learn how to design meaningful monitoring by adding the right logs, metrics, and signals to real systems
- You will understand how to use AI to review automation, pipelines, and workflows with a strong focus on safety and rollback.
- You will gain hands-on experience analyzing repositories, infrastructure code, and workflows to improve reliability and simplicity.
- You will learn how to use AI agents effectively by defining clear goals, constraints, and validation steps.
- You will understand when AI helps improve SRE outcomes—and when it should not be used.
This course is for engineers who work as or want to become SREs, from beginner to advanced levels.
It is ideal for those who want to move beyond alert handling and think about reliability more strategically.
The content is valuable for professionals interested in using AI to improve decisions and efficiency.
It is not only for SREs, but for anyone interested in improving system reliability using AI.
Yes, adopting Site Reliability Engineering (SRE) practices can significantly improve your operations performance. SRE is designed to enhance the reliability and scalability of software systems, leading to better operational outcomes and overall efficiency.
-Suitable for beginner to advanced engineers interested in SRE and SRE + IA
- Interest in learning and improving reliability and automation skills leveraging IA
- Desire to become a more efficient and decision-driven SRE.
- Motivation to move beyond alert handling and focus on real system impact.
Course Content
- About the Course
- Before Get started
- Training Content
- About Module
- What SRE Really Is and What It Is Not
- What Is Expected from an SRE in an Organization
- SRE Principles Overview
- SRE Practices Overview
- SRE vs DevOps and PE
- SRE Technology Stack
- About Module
- AI Is Not Hype Why It Is Here to Stay
- How AI Is Changing Engineering Roles
- Why Modern SREs Are Naturally Positioned to Use AI
- About Module
- What Every SRE Needs to Know About AI
- Large Language Models (LLMs)
- Prompt Engineering
- Don't be Too Specific
- What Is an AI Agent
- What is MCP ?
- Agentic AI Tools
- About Module
- Setting Up the Environment and Using AI Tools
- Explaining SAMPLE APP for our classes
- Creating your first "Memory"
- Embracing Risk with AI Assisted Decision Making
- Service Level Objectives Using AI to Define and Review SLOs
- Eliminating Toil Identifying and Reducing Manual Work with AI
- Monitoring with AI From Signals to Meaningful Insights
- Automation with AI Applying Automation Safely and Intentionally
- Release Engineering with AI Supporting Safer and Faster Releases
- Simplicity Using AI to Reduce System and Operational Complexity
- About Module
- Working with MCP for integrations
- Working with Skills
- Working with Agents - Creating Agents
- Working with Agents - Running task with multiple Agents
Douglas Mugnos
Founder and CEO
Hello, I’m Douglas Mugnos, an application architect with over 16 years of intense study and hands-on experience helping multinational companies build resilient and innovative solutions. If you’ve ever felt the weight of rapid changes in the tech world and the pressure of making critical decisions, know that I’ve been there too.
Throughout my career, I have trained over 22,000 students (on Udemy and beyond) on topics ranging from Cloud Computing and SRE to Design Patterns and Automation. My mission has always been to simplify complexity and make technology more accessible to professionals at all levels.
I’m also a content creator and run a YouTube channel where I share practical knowledge and market insights. Many students and followers have told me that my advice made a real difference in their careers — and that’s what drives me every day.
If you’re looking for direct, practical, and relevant content to overcome real-world challenges in technology, you’re in the right place.
