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AIOps Foundation Certification - Artificial Intelligence for IT Operations - Live Online Classroom (Exam Included)

Kesto
2 päivää
Hinta
1 850 EUR (arvonlisäverotonta)
Seuraava toteutus
7 huhtikuuta, 2025 (+9 toteutusta)
Toteutustapa
Etätoteutus
Koulutuskieli
englanti
Kesto
2 päivää
Hinta
1 850 EUR (arvonlisäverotonta)
Seuraava toteutus
7 huhtikuuta, 2025 (+9 toteutusta)
Toteutustapa
Etätoteutus
Koulutuskieli
englanti
alkaen 1 850 EUR (arvonlisäverotonta) / osallistuja

AIOps Foundation Certification - Artificial Intelligence for IT Operations - Live Online Classroom (Exam Included)

AIOps

AIOps Foundation Certification - Artificial Intelligence for IT Operations - Live Online Classroom (Exam Included)

AIOps stands for 'Artificial Intelligence for IT Operations'. It refers to platforms that leverage machine learning (ML) and analytics to automate IT operations. AIOps harnesses big data from operational appliances and has the unique ability to detect and respond to issues instantly.

What is the difference between AI and AIOps?

Artificial intelligence for IT operations (AIOps) is a process where you use artificial intelligence (AI) techniques maintain IT infrastructure. You automate critical operational tasks like performance monitoring, workload scheduling, and data backups.

The AIOps Foundation certification will equip you with the necessary knowledge to navigate the complexities of cloud-native applications and harness artificial intelligence for IT Operations.

AIOps Foundation ®

AIOps Foundation® is a two-day training course which two-day course aims to cover the origins of AIOps. Learners will gain an understanding of the processes of combining big data analytics, machine learning algorithms, automation, and optimization into a single platform.

AIOps Foundation course positions learners to successfully complete the AIOps Foundation certification exam.

Course description

AIOps Foundation course introduces key principles and foundational concepts along with the core technologies of AIOps: big data and machine learning. The course will provide students with an understanding of how and why digital transformation, together with the evolution of machine learning, have brought about the rise of AIOps as an indispensable tool in today’s IT Operational landscape.

Core technologies of machine learning and big data will be discussed, as well as the basic concepts of artificial intelligence, different types of machine learning models that can be implemented, and the relationship between AIOps and MLOps, DevOps and Site Reliability.

This two-day foundation course will also provide the student with a solid understanding of the benefits of implementing AIOps in the organization, including common challenges and key steps in ensuring valuable and successful integration of artificial intelligence in the day to day operations of information technology solutions.

Unique and exciting exercises will be used to apply the concepts covered in the course and sample documents, templates, tools, and techniques will be provided to use after the class.

During this course you will learn how to:

  • Clearly unde​rstand the history, origins and current developments of AIOps
  • Define and comprehend basic concepts and key principles within AIOps
  • Understand general concepts of big data and artificial intelligence, and how they relate to AIOps
  • Recognize the relationship between AIOps and MLOps
  • Understand the effectiveness of AIOps deployment and possible benefits
  • Understand the changes in mindset, collaboration and skills for AIOps to be applied in the organization
  • Quantify outcomes of an AIOps implementation leveraging industry standard metrics
  • Understand usual challenges and opportunities of applying AIOps in the organization
  • Visualize the challenges, trends and ethical considerations organizations might face while deploying an AIOps initiative

Key features

  • Course and material in English
  • Beginner friendly
  • Delivery of 2-day AIOps Foundation accredited training course with an authorised DevOps® trainer (8 hours per day)
  • Licensed course materials DevOps Institute (a member of the PeopleCert Group) accredited training materials:
  • Learner Manual (excellent post-class reference)
  • Sample documents, templates, tools and techniques, Glossary, Sample exam
  • AIOps Foundation training course certificate of completion
  • Voucher for an accredited AIOps Foundation exam
  • Access to additional value-added resources and communities

Working methods:

Multimedia presentations, group exercises and discussion, practical workshops, case study and online practice tests.

Target Audience:

The AIOps Foundation Certification is designed 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 – Those responsible for managing IT infrastructure, incident response, and ensuring system availability.
  • Site Reliability Engineers (SREs) – Professionals focused on system reliability, automation, and performance monitoring.
  • DevOps Engineers – Those integrating AI/ML into DevOps practices for automation, monitoring, and anomaly detection.
  • IT Managers & Directors – Decision-makers who oversee IT operations and want to implement AIOps strategies.
  • AI & ML Specialists – Individuals developing AI/ML models for IT operations and automation.
  • Cloud & Infrastructure Engineers – Professionals working with cloud environments and looking to optimize performance using AIOps.

Prerequisites:

There are no prerequisites for this course. All are welcome to attend the course, regardless of experience. However, familiarity with IT terminology and IT related work experience are recommended.

Licensing and accreditation:

AIOps Foundation course offered by AVC is provided under DevOps Institute (a member of the PeopleCert Group) accreditation based upon Partner's Agreement and complies with the accreditation requirements.

Course agenda

Topics Covered:

  1. Course Introduction
  2. Module 1: AIOps Foundation
    • 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
  3. Module 2: AIOps in the Organization
    • 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
  4. Module 3: Core Technologies: Data
    • What is Big Data?
    • The Five V’s of Big Data
    • Characteristics of Big Data
    • AIOps Data Sources and Types
    • Diverse Data
  5. Module 4: Core Technologies: Machine Learning (ML)
    • 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
  6. Module 5: AIOPs and Operations Metrics
    • 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
  7. Module 6: AIOps Use Cases and Organizational Mindset
    • 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
  8. Module 7: Evaluating AIOps Impact
    • 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
  9. Module 8: Implementing AIOps in the Organization
    • 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
  10. Exam preparation and course summary

Certification exam; Exam details:

The certification is governed and maintained by DevOps Institute, a member of the PeopleCert Group.

  • Exam Name: AIOps Foundation®
  • Exam Language: English
  • Exam Format: Multiple choice
  • Exam Delivery: Web-based
  • Access: Candidates can access the exam within the PeopleCert exam Platform upon completion of the AIOps Foundation course and timely performed payment
  • Number of questions: 40
  • Passing Score: 26 marks required to pass (out of 40 available) - 65%
  • Exam Duration: 60 minutes
  • Open/Closed Book: Open Book
  • Certification Validity: 3 Years

FAQ for AIOps

  1. Will missing a live class affect my ability to complete the course?
  2. Yes, you may be subject to not getting the exam voucher if you don't attend a class. Therefore, it's better always to let us know at least 2 weeks in advance if you require any rescheduling requests. Note that reschedule request is not always given depending on the situation
  3. What is AIOps and why is it important for IT operations? AIOps, or Artificial Intelligence for IT Operations, leverages machine learning and data analytics to automate and enhance IT operations. As organizations face an increase in data, AIOps helps manage large volumes of information in real time, reducing the need for human intervention and improving overall efficiency.
  4. How does AIOps improve anomaly detection and root cause analysis? AIOps uses advanced algorithms for real-time anomaly detection, identifying issues before they impact the system. It also automates root cause analysis, pinpointing problems faster and helping IT teams resolve them with minimal downtime.
  5. Can AIOps improve user experience in IT environments? Yes, AIOps enhances user experience by proactively identifying and fixing performance issues in real time. By reducing system disruptions and improving the speed of issue resolution, AIOps ensures smoother operations, directly benefiting end users.
  6. How does AIOps reduce the need for human intervention in IT operations? AIOps automates repetitive tasks like monitoring, alerting, and troubleshooting. This reduces human intervention, allowing IT teams to focus on strategic initiatives rather than manually handling routine tasks, while improving system performance and reliability.

Our online classroom courses; We pay close attention to build positive learning environment for you

We really do care about the details. Positive and efficient learning environments are key to our attendees' success in preparation to AIOps exam. We aim to create a comfortable conditions for learning that optimise the ability of attendees to learn:

  • Climate of safety and open authentic conversation
  • Modern online training platform, classes conducted live by qualified instructors
  • Seasoned, certified and experienced instructor team
  • Well-structured and compelling schemes that translate into high exam scores
  • Licensed and accredited training materials and many interactive online exercises

Seuraavat toteutukset

Tulossa 9 toteutusta

7 huhtikuuta, 2025

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25 elokuuta, 2025

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8 syyskuuta, 2025

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6 lokakuuta, 2025

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10 marraskuuta, 2025

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8 joulukuuta, 2025

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26 tammikuuta, 2026

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