AIOps Foundation Certification - Live Online Classroom (exam included)
1.850,00 EUR
- 2 days
The AIOps Foundation® is a two-day training course designed to cover the roots of AIOps. Learners will gain insight into processes that combine big data analytics, machine learning algorithms, automation and optimization into a single platform. The AIOps Foundation course will equip learners to successfully complete the AIOps Foundation certification exam.
About the course
The AIOps Foundation course introduces key principles, core technologies (big data and machine learning), and their role in modern IT operations. It explores how digital transformation and machine learning have made AIOps essential.
This two-day course covers AI fundamentals, machine learning models, and the relationship between AIOps, MLOps, DevOps, and Site Reliability. Students will gain a solid understanding of AIOps implementation, including its benefits, challenges, and best practices.
The course includes hands-on exercises, example documents, templates, and tools to reinforce learning.
What is AIOps?
AIOps stands for 'Artificial Intelligence for IT Operations'. It refers to platforms that use machine learning (ML) and analytics to automate IT operations. AIOps harnesses big data from operational devices and has the unique ability to detect and react to problems immediately.
What is the difference between AI and AIOps?
Artificial Intelligence in IT Operations (AIOps) is the process of using Artificial Intelligence (AI) techniques to maintain IT infrastructure. You automate critical operational tasks such as performance monitoring, workload scheduling and data backup.
The AIOps Foundation certification gives you the knowledge you need to navigate the complexities of cloud-based applications and leverage AI in IT operations.
Key Features
Language
Course and material in English
Level
Suitable for beginners
2-day live onlince classroom
8 hours per day with accredited trainer
Licensed course materials
DevOps Institute (member of PeopleCert Group) accredited training materials
Learner's Handbook
(excellent post lesson reference) Access to value-added resources and communities.
Practices
Sample documents, templates, tools and techniques, glossary, sample exam.
Certificate
AIOps Foundation training certificate
Exam included
Voucher for an accredited AIOps Foundation qualification.
Learning Outcomes
At the end of this course, you will be able to:
History
Clearly understand the history, origins and current development of AIOps.
Concepts
Define and understand the basic concepts and key principles of AIOps.
Big Data
Understand the general concepts of big data and artificial intelligence and how they relate to AIOps.
Differences
Identify the relationship between AIOps and MLOps.
Benefits
Understand the effectiveness and potential benefits of implementing AIOps.
Impementation
Understand what changes in mindset, collaboration and skills are required to implement AIOps in an organization.
Quantify
Quantify the results of AIOps implementation using industry standard metrics.
Challenges
Understand the common challenges and opportunities associated with applying AIOps in an organisation.
Course timeline
AIOps Foundation
Module 1
- History and Predecessors
- Meaning of AIOps
- Differences between AIOps and IT Operations Analytics
- Core Technologies and Basic Concepts
- Stages of an AIOps System
- Overlapping Practices
AIOps in the Organization
Module 2
- Drivers and Influences
- AIOps and DevOps
- AIOps and Site Reliability
- AIOps and Security
- Data, Telemetry and Systems Complexity
- A New Paradigm to Understand System State
Core Technologies: Data
Module 3
- What is Big Data?
- The Five V’s of Big Data
- Characteristics of Big Data
- AIOps Data Sources and Types
- Diverse Data
Core Technologies: Machine Learning (ML)
Module 4
- AI and Machine Learning
- Supervised vs Unsupervised
- Machine Learning vs Analytics
- Machine Learning and Training Models
- AIOps and the Future of AI
- AIOps vs. Analytics Similarities and Differences
AIOPs and Operations Metrics
Module 5
- Metrics and Operations
- Key Metrics to Track Across Systems
- Agreements, Objectives and Indicators
- Incident Related Metrics
- Quantifying Incidents (MTTD, MTBF, MTTA, MTTR)
- Service Level Agreements
AIOps Use Cases and Organizational Mindset
Module 6
- Shifting from Reactive to Proactive
- Characteristics of a Reactive Approach to Operations
- Deterministic to Probabilistic
- Deep Dive Into Use Cases
- AIOps and Shifts in the Organization
- Understanding the Past and Predicting the Future
Evaluating AIOps Impact
Module 7
- AIOps and Operations Metrics
- AIOps, DevOps and SRE
- Improving AI Accuracy
- AIOps System Visibility
- Tracking Impact of AIOps
- Impact to Incident Related Metrics
- AIOps and DORA Metrics
Implementing AIOps in the Organization
Module 8
- Avoiding Common Challenges
- Ethics and Machine Learning
- Paths to Implementation
- Data Quality and Processes
- Culture and Organizational Practices
- Data and Regulation
- Machine Learning Bias
- Privacy and User Data
Exam preparation and course summary
Module 10
Who Should Enroll in this Program?
The AIOps Foundation certification is for IT professionals who want to understand and implement Artificial Intelligence for IT Operations (AIOps) in their organizations. The target audience includes:
IT Operations teams
Site Reliability Engineers (SRE)
DevOps Engineers
IT managers and leaders
AI & ML Specialists
Cloud & Infrastructure Engineers
Exam details
Prerequisites
There are no prerequisites for this course. All are welcome, regardless of experience. However, knowledge of IT terminology and IT work experience is recommended.
Exam details
The certification is administered and maintained by the DevOps Institute, a member of the PeopleCert Group.
- Exam name: AIOps Foundation®
- Exam language: English.
- Exam format: multiple-choice exam.
- Exam delivery: web-based
- Admission: Candidates can take the exam on the PeopleCert exam platform after completing the AIOps Foundation course and paying the fee on time.
- Number of questions: number of questions: 1: 40
- Acceptable score: 26 points (out of 40 available) - 65% are required for acceptance.
- Examination time: 60 minutes
- Open/closed book: open book
- Validity of certificate: 3 years
Statements
Licensing and accreditation:
TheAIOps Foundation course offered by AVC is offered with accreditation from the DevOps Institute (a member of the PeopleCert Group), based on a partner agreement and meets accreditation requirements.
Equality policy
PeopleCert: PeopleCert provides a Special Considerations Policy for exam accommodations. Candidates requiring accommodations should refer to the PeopleCert terms and policies at PeopleCert Special Considerations Policy.
Frequently Asked Questions
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