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Getting Started with AIOps

Published by O'Reilly Media, Inc.

Beginner content levelBeginner

Practical approaches for integrating AI into monitoring, incident management, and IT operations efficiency

What you’ll learn and how you can apply it

  • Assess your organization’s AIOps readiness and build a strategic implementation plan aligned with business goals
  • Identify and prioritize AIOps use cases that deliver maximum value for your specific organizational challenges
  • Create a practical roadmap with clear milestones to guide AIOps adoption from initial pilots to enterprise-wide implementation
  • Evaluate and select appropriate AI tools that integrate effectively with your existing IT infrastructure and workflows
  • Develop change management strategies to overcome resistance and foster adoption across technical and nontechnical teams
  • Establish meaningful metrics to measure, track, and communicate the business impact of your AIOps initiatives
  • Design scalable AIOps solutions that can grow with your organization’s evolving needs and technical landscape

Course description

As organizations scale and face increasing complexity in their digital systems, artificial intelligence for IT operations (AIOps) offers powerful solutions that can simplify operations, minimize downtime, and optimize resource allocation. Start here to build the skills you’ll need to design, implement, and scale AIOps initiatives.

AI expert Adora Nwodo can help you understand the application of AIOps, leading you through the technologies that enhance operational efficiency, reduce manual intervention, and enable predictive capabilities across your IT landscape. With Adora’s guidance you’ll conceive an AIOps strategy blueprint, conduct use case prioritization, conceptualize an implementation roadmap, evaluate AI tools, frame a change management plan, and develop an ROI measurement framework. With all that under your belt, you’ll be ready to effect an AIOps transformation, integrate AIOps into existing workflows, and demonstrate tangible operational improvements in your organization.

What you’ll learn and how you can apply it

  • You’re an IT operations manager, infrastructure lead, DevOps engineer, site reliability engineer, software engineer, or IT director who wants to transform reactive operations into predictive, AI-driven workflows.
  • You work with complex IT environments, monitoring systems, incident management processes, and you support teams facing challenges with alert volumes, manual troubleshooting, or service reliability.
  • You want to become an AIOps implementation leader who can strategically drive AI adoption in IT operations, demonstrate measurable improvements in service quality, and position your team at the forefront of operational innovation.

Prerequisites

  • Basic understanding of software development concepts such as applications, servers, and system performance
  • Familiarity with general IT or DevOps principles like system monitoring, uptime, and troubleshooting

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Understanding AIOps fundamentals (40 minutes)

  • Presentation: AIOps and how it transforms IT operations; key distinctions between traditional operations, classical ML, and generative AI in AIOps; AIOps maturity model and assessing your organization’s readiness
  • Group discussion: Your biggest obstacle to implementing AI in your operations
  • Q&A
  • Break

Strategic AIOps use cases and value creation (40 minutes)

  • Presentation: High-impact AIOps use cases across the IT operations lifecycle; mapping AIOps solutions to specific operational challenges
  • Hands-on exercise: Identify which AIOps use cases would be most valuable for a company experiencing frequent alert storms and slow incident resolution
  • Group discussion: What metrics would show successful AIOps implementation in your organization?
  • Q&A

Building an AIOps implementation roadmap (45 minutes)

  • Presentation: Components of an effective AIOps implementation strategy; creating a phased roadmap with clear milestones and success metrics
  • Hands-on exercise: Outline a 12-month AIOps implementation roadmap for an organization with mature monitoring but no AI capabilities
  • Group discussion: What are the critical success factors for each phase of AIOps implementation?
  • Q&A
  • Break

Selecting and integrating AIOps tools (40 minutes)

  • Presentation: AIOps technology landscape and capability assessment; integration approaches for AIOps tools with existing systems
  • Hands-on exercise: Evaluate which AIOps tool capabilities would best address specific operational challenges in a hybrid cloud environment
  • Group discussion: What criteria would you use to select AIOps tools for your environment?
  • Q&A
  • Break

AIOps change management and adoption (40 minutes)

  • Presentation: Organizational impacts of AIOps implementation; strategies for driving adoption across technical and nontechnical teams
  • Hands-on exercise: Design a change management approach for introducing AIOps to a traditional operations team
  • Group discussion: How would you address concerns about AI replacing human roles in operations?
  • Q&A
  • Break

Measuring and communicating AIOps value (35 minutes)

  • Presentation: Establishing meaningful AIOps metrics and KPIs; building business cases and measuring ROI for AIOps initiatives
  • Hands-on exercise: Develop a framework for measuring and reporting the business impact of an AIOps implementation
  • Group discussion: How would you communicate AIOps success to technical versus nontechnical stakeholders?
  • Q&A

Your Instructor

Adora Nwodo

Adora Nwodo is a multiple-award-winning engineering leader and published author working across cloud, AI, and developer experience. Her work focuses on building intelligent platforms, distributed systems, and scalable cloud infrastructure. She has held engineering and leadership roles at Stack Overflow and Microsoft, working at the intersection of platform engineering, cloud infrastructure, and organizational execution. She’s the author of seven books on cloud engineering, DevOps, and technology leadership and serves as executive director of NexaScale, a nonprofit whose mission is to expand access to technology education for African technologists.

Skill covered

AI Governance