AIOps Foundation - Training with certification
Artificial intelligence in IT operations - the official AI certification of the DevOps Institute
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Machine Learning Engineer
1. Fundamentals of AIOps
- History and Precursors
- Core Technologies and Fundamental Concepts
- Phases of an AIOps System
2. AIOps in the Enterprise
- Driving Factors 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 the Source to AIOps
4. Core Technologies: 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 Operational Metrics
- Key Figures and Operations
- Key metrics that should be tracked across all systems
- Agreements, Goals, and Indicators
6. AIOps Use Cases and Organizational Mindset
- The Shift from Reactive to Proactive
- From deterministic to probabilistic
- An In-Depth Look at Use Cases
7. Assessing the Impact of AIOps
- AIOps and Operational Metrics
- AIOps, DevOps, and SRE
- Improving AI Accuracy
- Transparency of the AIOps System
8. Implementing AIOps in the Enterprise
- Avoiding Common Challenges
- Ethics and Machine Learning
- Approaches to Implementation
Requirements:
There are no formal requirements.
Additional info:
Official course materials (digital) in English
- Understand the benefits and basic concepts of AIOps, including the underlying technologies such as machine learning and AI
- Understand the steps involved in implementing AIOps and the typical challenges associated with it
- Understand the Relationship Between AIOps, MLOps, DevOps, and Site Reliability Engineering
You will receive interactive training consisting of presentations and group exercises.
You'll be supported by comprehensive, certified training materials that will continue to provide valuable assistance in your day-to-day project work even after you've completed the " training ."
You will receive a voucher for an online exam by e-mail from PeopleCert a few days before the start of the course. The exam voucher must be redeemed directly with PeopleCert, where you can register for an available exam date. The online exam will be proctored by a PeopleCert proctor, 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.
In this case, "open book" means that you can use your course materials during the exam on a second device or in printed form.
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.
This course is right for you if you want to improve the reliability and resilience of IT services and are also interested in how artificial intelligence can help with that.
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