DOI-10005
Learn how to leverage AI and machine learning to analyse data, identify and resolve potential issues, and automate routine tasks. Help your organisation increase IT efficiency, reduce downtime and reach desired business outcomes.
Overivew
Organizations always facing challenges of scale, while we accept failures as norm, still the challenge to collaborate, detect, recover, and restore incidents fast is a key measure to mature operational capability in the organization.
With AIOps, an addition feature to the CI/CD pipeline, it is apparent that automation and infusing intelligence in the process has become necessary rather than luxury in today’s computing. Investment in AIOps ensures the organization stands at a mature level to face the challenges around MTTR, MTTD, and MTBF.
This course, covers the concepts and the fundamentals of AIOps in real world challenges.
Prerequisites
Knowledge
Students to this class are expected to have:
- Good understanding of CI/CD pipeline
- Basic understanding of computer operations skills :such as managing files
Technology
Depending on the delivery method of this course, the students should have :
- A Workstation with Internet browser capability such as (Chrome, Edge, or Safari)
- Good persistent internet connection without blocking firewalls(ideally non corporate firewall protected workstations)
The Workshops
Workshops is a collaborative effort so students can demonstrate their ability to lead and contribute within a team with various skills.
Workshops covered in this course:
- Workshop 1: …
- Workshop 2: …
Objectives
Students who completed this course, should build the skills and knowledge that allows them to
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Describe the benefit of AIOps and the relationship with Operation excellence metrics
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Ability to visualize the difference and fit ability of AIOps within the organization
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Understand the fundamental components of AIOps
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General knowledge about AIOps data source and the concepts around Big Data
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Describe the Lifecycle and the core technologies of AIOps
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Acquire the necessary skills to understand and measure AIOps performance using proper tooling and metrics
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Adapt or lead the adaptation of AIOps within the organization
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Describe AIOps maturity levels
Audience
This course is designed to assist and equip the students with the skills and knowledge that allows them to perfect their daily tasks with respect to operationalize the CI/CD pipelines with confidence and capitalize the organization investment to operate reliable business.
- Scrum Masters:
- Product Owners: understand the business value of time to respond to incidents and to ensure business continuity and reliability metrics at bar.
- Application Architects:
- Software Developers:
- Security Architects:
- SRE Site Reliability Engineers:
- Systems Architects:
- Help Desk staff
Timeline
The AIOps Foundation certification Course is a 2 days course, includes lectures, demos, and workshops.
The following is guidelines for the instructor to organize the time pace with the students, subject to change based on students preference.
Breaks during the day follows the 106 rule, every 45-60mÂ
*the 106 rule, indicates the human memory capacity to learn the new factual elements which is 106 facts before the memory could be reused.
Course Curriculum
AIOps Foundation
- History and Predecessors
- Core Technologies and Basic Concepts
- Stages of an AIOps System
AIOps in the Organization
- Drivers and Influencers
- AIOps and DevOps
- AIOps and Site Reliability
- AIOps and Security
Core Technologies: Data
- What is Big Data?
- Five Vs for Big Data
- AIOps Data Sources and Types
- Form Source to AIOps
Core Technologies: Machine Learning (ML)
- AI and ML
- How ML Models Learn
- Supervised vs. Unsupervised
- Analytics vs AI
- AIOps and the Future of AI
AIOps and Operations Metrics
- Metrics and Operations
- Key Metrics to Track Across Systems
AIOps Use Cases and Organizational Mindset
- Shifting from Reactive to Proactive
- Deterministic to Probabilistic
- Deep Dive Into Use Cases
Evaluating AIOps' Impact
- AIOps and Operations Metrics
- AIOps, DevOps, and SRE
- Improving AI Accuracy
- AIOps System Visibility
Implementing AIOps in the Organization
- Avoiding Common Challenges
- Ethics and ML
- Path to Implementation
Calendar
Scroll through the months, and chose the right schedule for you, send us a standard request form register
