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Service and project management / DevOps
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AIOps Foundation - Training with certification

Online
2 days
German
Download PDF
€ 1.490,-
plus VAT.
€ 1.773,10
incl. VAT.
Booking number
41165
Venue
Online
1 appointment
€ 1.490,-
plus VAT.
€ 1.773,10
incl. VAT.
Booking number
41165
Venue
Online
1 appointment
Become a certified
Machine Learning Engineer
This course is part of the certified Master Class "Machine Learning Engineer". If you book the entire Master Class, you save over 15 percent compared to booking this individual module.
To the Master Class
In-house training
In-house training for your Employees only - exclusive and effective.
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Learn how artificial intelligence can be applied to IT operations to provide customers with more reliable and secure IT services.
Contents

1. the AIOps Foundation

  • History and Predecessors 
  • Core Technologies and Basic Concepts
  • Stages of an AIOps System 

 

2 AIOps in the Organization

  • Drivers and Influences
  • AIOps and DevOps
  • AIOps and Site Reliability 
  • AIOps and Security 

 

3. core technologies: data 

  • What is Big Data?
  • The Five Vs of Big Data
  • AIOps Data Sources and Types 
  • From Source to AIOps 

 

4. core technologies: data: machine learning (ML)

  • AI and ML
  • How ML Models Learn
  • Supervised vs. unsupervised - analytics vs. AI
  • AIOps and the Future of AI 

 

5 AIOps and Operations Metrics 

  • Metrics and Operations
  • Key Metrics to Track Across Systems 
  • Agreements, Objectives, and Indicators 

 

6 AIOps Use Cases and Organizational Mindset 

  • Shifting from Reactive to Proactive
  • Deterministic to Probabilistic 
  • Deep Dive Into Use Cases 

 

7. evaluating AIOps' impact 

  • AIOps and Operations Metrics 
  • AIOps, DevOps, and SRE
  • Improving AI Accuracy
  • AIOps System Visibility 

 

8 Implementing AIOps in the Organization 

  • Avoiding Common Challenges 
  • Ethics and ML
  • Paths to Implementation
Your benefit
  • Understanding the benefits and basic concepts of AIOps, including the underlying technologies such as machine learning and AI
  • Understanding the steps for introducing AIOps and the typical challenges involved
  • Understanding the relationship between AIOps, MLOps, DevOps and Site Reliability Engineering
trainer
Alexander Lichtenberger
Methods

Participants receive interactive training consisting of presentations and group exercises and are supported by well-founded and certified training material that also provides valuable support for everyday project work after the training .

Certification

You will receive a voucher for an online exam by email from PeopleCert a few days before the course starts. The exam voucher must be redeemed directly with PeopleCert, where you can register for an available exam date. The online exam is proctored by a PeopleCert invigilator, which requires a device with a microphone and camera. We recommend that you take the exam on private PCs/notebooks, as company notebooks are often subject to certain restrictions.

Format: Web-based, multiple-choice exam questions, number of questions: 40, pass rate: 65%, duration: 60 minutes, open book.

Option "Take2":
This option allows you to retake the exam at a lower price if you fail. The retake exam takes place online. If required, you can book this option yourself in your PeopleCert candidate profile before booking the exam. You have up to 6 months from the date of the first exam to prepare for and take the retake exam.

Recommended for

This course is suitable for anyone who wants to improve the reliability and resilience of IT services and is also interested in how artificial intelligence can help.

Start dates and details

Form of learning

Learning form

8.9.2025
Online
Places free
Implementation secured
Online
Places free
Implementation secured

The training is carried out in cooperation with an authorized training partner. This partner collects and processes data under its own responsibility. Please take note of the corresponding privacy policy.

Do you have questions about training?
Call us on +49 761 595 33900 or write to us at service@haufe-akademie.de or use the contact form.