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IT & ENGINEERING Advanced

AI for DevOps and SRE: AIOps in Practice

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A premium, advanced and hands-on course on applying AI to DevOps and Site Reliability Engineering, updated for 2026. You will learn what AIOps really means today, how to build intelligent observability with OpenTelemetry, Prometheus and Grafana, how anomaly detection and smart alerting cut through noise, how large language models accelerate log and trace analysis, AI-assisted incident response and on-call, root cause analysis, AI in CI/CD pipelines and Infrastructure as Code with Terraform and Pulumi, ChatOps and runbook automation with strict human oversight, Kubernetes operations, capacity planning, FinOps cost optimization, and DevSecOps. The course is built around responsible practice: never leak secrets or personal data into cloud AI tools, respect GDPR on telemetry, and keep a human in the loop for any automated production action. Includes real-world case studies and a comprehensive final assessment.

10 modules
29 lessons
~7h duration
v1.0 version
AI professor An AI agent built into every lesson — ask questions and get instant answers based on the course content
Hands-on exercises Real scenarios and practical exercises directly on the platform, with instant feedback
Progress & analytics A personal dashboard with statistics, streaks, scores and structured learning paths
Interactive AI quizzes Questions generated by AI and adapted to your level, with detailed explanations
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What you will learn

Practical skills you gain by completing this course

AIOps in 2026: Foundations and the Modern Stack
Intelligent Observability: OpenTelemetry, Prometheus, Grafana
Anomaly Detection and Intelligent Alerting
AI-Assisted Log and Trace Analysis
AI-Assisted Incident Response and On-Call
Root Cause Analysis Assisted by AI
AI in CI/CD Pipelines and Infrastructure as Code
ChatOps, Runbook Automation, and Kubernetes Operations
Capacity, Cost Optimization, DevSecOps, and Case Studies
Final Quiz — AI for DevOps and SRE

Who it is for

Developers Software engineers Solution architects CTOs / Tech Leads Data Scientists ML Engineers DevOps Engineers

Recommended level

Advanced

Assumes hands-on experience with AI and complex scenarios.

Updates

Regular

Content updated regularly with the latest practices from the industry.

Category

IT & Engineering

A technical course for IT professionals — available with individual course access or the IT Pro / All Access bundle.

Advanced level

Hands-on experience required

Assumes practical experience with AI. Covers complex scenarios and advanced strategies.

Always up to date

Up-to-date content

The course is updated regularly with the latest information, tools and practices from the industry.

Practical and applied

29 lessons with real examples

Each lesson includes practical scenarios, actionable checklists and quizzes to check your understanding.

Curriculum

10 modules, 29 lessons — structured to learn step by step.

10 modules
29 lessons
~7h of content
Interactive quizzes
Free preview available What AIOps Actually Means in 2026
Read the preview
1 Free preview lesson What AIOps Actually Means in 2026
Read the preview
2 The Modern Observability and AIOps Stack
14 min
3 LLMs in the SRE Workflow: Capabilities, Limits, and Oversight
13 min
1 OpenTelemetry Deep Dive: Signals, Collector, Conventions
14 min
2 Prometheus and PromQL for AI-Driven Alerting
14 min
3 Grafana and LLM-Assisted Querying and Dashboards
12 min
1 Anomaly Detection Fundamentals for Operations
14 min
2 Cutting Alert Fatigue: Correlation, Grouping, Deduplication
13 min
3 Predictive Alerting and Building Intelligent Pipelines
13 min
1 LLM-Powered Log Analysis: Patterns, Summaries, Search
14 min
2 Distributed Trace Analysis with AI
13 min
3 Data Privacy and PII in Telemetry: The GDPR Guardrail
14 min
1 The Incident Lifecycle and Where AI Augments It
14 min
2 AI Copilots for On-Call: Triage, Context, and Comms
13 min
3 Blameless Postmortems and AI-Assisted RCA
13 min
1 RCA Methodologies and Causal Reasoning with AI
13 min
2 Correlating Signals Across Telemetry for RCA
13 min
3 Change-Based RCA: What Changed and Why It Matters
12 min
1 AI in CI/CD Pipelines: Tests, Builds, and PR Review
14 min
2 Infrastructure as Code with AI: Terraform and Pulumi
14 min
3 Progressive Delivery and Deployment Safety with AI
13 min
1 ChatOps and Runbook Automation with AI
13 min
2 Agentic Automation and the Guardrails of Human Oversight
14 min
3 Kubernetes Operations with AI
13 min
1 Capacity Planning and Forecasting with AI
13 min
2 Cloud Cost Optimization (FinOps) with AI
13 min
3 DevSecOps: AI in Security, Supply Chain, and Secrets
14 min
4 Case Studies and an AIOps Adoption Roadmap
13 min
1 Final Assessment — AI for DevOps and SRE: AIOps in Practice
45 min
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