The AIOps Foundation training course, offered by DevOps Institute, introduces professionals to the application of artificial intelligence and machine learning in IT operations, transforming how complex IT infrastructures are managed. Delivered through flexible formats such as Instructor-Led Training (ILT), Virtual Instructor-Led Training (VILT), and in-house sessions, this course prepares participants for the DevOps Institute AIOps Foundation certification exam (exam code: DO-AIOF). It covers key topics including big data analytics, anomaly detection, and automation strategies, enabling you to optimize IT performance and reduce operational costs. Ideal for IT operations professionals and DevOps practitioners, this training blends theoretical insights with practical applications to harness AI for modern IT environments.

Target Audience

This course is ideal for:

• IT operations professionals exploring AI-driven solutions.
• DevOps engineers aiming to enhance automation with AI.
• Managers overseeing complex IT infrastructures.
• Candidates preparing for the AIOps Foundation certification exam.

Prerequisites

To succeed in this course, participants should have:

• Basic understanding of IT operations or DevOps (recommended).
• Familiarity with data analytics or machine learning concepts (preferred).
• No prior AIOps experience required, though interest in AI is helpful.

What You Will Learn

In this course, you will gain expertise in:

• Applying AI and machine learning to IT operations.
• Implementing big data analytics for anomaly detection.
• Optimizing IT performance with automation strategies.
• Leveraging AIOps to manage complex infrastructures.

Benefits of the Course

By completing this course, you will:

• Master AI-driven IT operations for enhanced efficiency.
• Be prepared to pass the AIOps Foundation certification exam.
• Boost your career in modern IT and DevOps roles.
• Reduce operational costs with advanced automation techniques.

Course Outline

• Introduction to AIOps
  • Understanding AIOps Concepts and Objectives
  • Role of AI and Machine Learning in IT Operations
  • Benefits of AIOps for Modern IT Environments
• Big Data and Analytics
  • Leveraging Big Data for IT Operations
  • Techniques for Anomaly Detection and Incident Prediction
  • Integrating Analytics into DevOps Workflows
• Automation Strategies
  • Implementing Automation with AIOps Tools
  • Optimizing IT Performance Through Automation
  • Reducing Operational Costs with AI-Driven Processes
• Advanced AIOps Applications
  • Managing Complex IT Infrastructures with AIOps
  • Case Studies of AIOps Success in Enterprises
  • Future Trends in AI-Driven IT Operations