AIOps Foundation Training Course
AIOps (Artificial Intelligence for IT Operations) is the application of machine learning, analytics, and automation to streamline and enhance IT operations. It helps organizations automate incident detection, correlate events, and improve operational decision-making.
This instructor-led, live training (online or onsite) is aimed at beginner-level IT professionals who wish to understand the fundamentals of applying AI and big data in IT operations to improve observability, metrics, and incident handling.
By the end of this training, participants will be able to:
- Describe the evolution and importance of AIOps.
- Explain core technologies such as big data and machine learning within AIOps contexts.
- Identify key operational metrics and use cases for AIOps.
- Understand organizational impact, implementation strategies, and challenges.
Format of the Course
- Interactive lecture and discussion.
- Case study review and scenario-based discussion.
- Hands-on exercises with AIOps concepts and tools.
Course Outline
Introduction to AIOps
- Origins and evolution of AIOps
- Role of AIOps in modern IT operations
- Comparison with traditional IT operations analytics
Organizational Context for AIOps
- AIOps drivers and strategic impact
- Integration with DevOps and SRE
- Security and complexity considerations
Core Technologies - Data Fundamentals
- Big Data concepts and the 5 Vs
- Data sources, diversity, and processing challenges
Core Technologies - Machine Learning (ML)
- AI and ML roles in AIOps
- Supervised vs unsupervised learning
- ML models used in AIOps
Operational Metrics in AIOps
- Key metrics: SLA, SLO, KPI
- Incident metrics: MTTD, MTTR, MTBF, MTTA
Use Cases and Mindset Shift
- Reactive vs proactive operations
- Real-world examples
- Organizational change impacts
Implementation Strategies
- Common pitfalls and success factors
- Data quality and alignment
- Ethics, compliance, and data protection
Requirements
- An understanding of basic IT operations and system monitoring concepts
- Experience with IT environments and data telemetry
Audience
- IT operations teams and managers
- DevOps/SRE practitioners
- Cloud and infrastructure professionals
- Data engineers and analysts
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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