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AIOps Foundation (AIOps)℠ Training Certification
AIOps Foundation Training Certification program delves into the origins of AIOps, exploring the history of the term, its forerunners, and the technological advancements that paved the way for its development.
Through this certification, you’ll gain a solid understanding of:
- The core principles of AIOps Training
- How Big Data Analytics and Machine Learning algorithms are leveraged within AIOps platforms
- Automation and Optimization techniques used in AIOps
Additionally, the program explores the crucial link between:
- Digital Transformation
- Machine Learning advancements
- The rise of AIOps as an essential tool in modern IT operations
By completing the AIOps Foundation Training certification, you’ll validate your understanding of this transformative technology and its impact on IT operations.
Training Schedule
Features
16 hours of Instructor-led training classes
Share relevant Industry Insights
Shares real-world experience
Course Objective (AIOps Foundation Training Certification)
The AIOps Foundation Training certification equips you with the foundational knowledge and skills to navigate the exciting world of Artificial Intelligence for IT Operations (AIOps). Upon completing the AIOps Foundation Training Certification course, you will be able to:
1. Master the History and Evolution of AIOps:
- Gain a clear understanding of the origins and historical development of the term “AIOps.”
- Explore the technological advancements and preceding IT management patterns that paved the way for AIOps.
- Analyze the current landscape of AIOps and its ongoing evolution.
2. Grasp Core Concepts and Principles:
- Define and comprehend the fundamental concepts and key principles that underpin AIOps.
- Develop a solid understanding of how AIOps functions within the IT operations ecosystem.
- Apply your knowledge to real-world scenarios and identify opportunities for AIOps implementation.
3. Demystify Big Data and AI in AIOps Training:
- Gain a foundational understanding of big data concepts and how they are leveraged within AIOps.
- Explore how artificial intelligence and machine learning algorithms are applied in AIOps platforms.
- Understand the role of data analytics and automation in optimizing IT operations through AIOps.
4. Bridge the Gap between AIOps and MLOps:
- Recognize the relationship between AIOps and MLOps (Machine Learning Operations).
- Analyze how these two disciplines work together to streamline the development, deployment, and management of AI models in IT operations.
- Understand how MLOps practices can enhance the effectiveness of AIOps deployments.
5. Evaluate Deployment Effectiveness and Benefits:
- Develop the ability to assess the effectiveness of AIOps deployments within an organization.
- Identify the potential benefits and return on investment associated with implementing AIOps.
- Analyze case studies to understand how AIOps has transformed IT operations for various businesses.
6. Foster a Culture of Collaboration and Transformation:
- Recognize the necessary mindset shifts and collaborative approaches required for successful AIOps adoption.
- Understand the evolving skillsets and training needs for IT professionals within an AIOps environment.
- Develop strategies to promote collaboration and knowledge sharing across IT teams in the context of AIOps.
By achieving these learning objectives through the AIOps Foundation Training Certification, you will be well-positioned to contribute to the implementation of AIOps within your organization and unlock its transformative potential.
Course Agenda
Module 1:
AIOps History, Landscape and Foundation
- History and Predecessors Core
- Technologies and Basic Concepts
- Stages of an AIOps System
Module 2:
AIOps in the Organization
- Drivers and Influences
- AIOps and DevOps
- AIOps and Site Reliability
- AIOps and Security
Module 3:
Core Technologies: Data
- What is Big Data?
- The Five Vs of Big Data
- AIOps Data Sources and Types
- From Source to AIOps
Module 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
Module 5:
AIOPs and Operations Metrics
• Metrics and Operations
• Key Metrics to Track Across Systems
• Agreements, Objectives, and Indicators
Module 6:
AIOps Use Cases and Organizational Mindset
• Shifting from Reactive to Proactive
• Deterministic to Probabilistic
• Deep Dive Into Use Cases
Module 7:
Evaluating AIOps Impact
• AIOps and Operations Metrics
• AIOps, DevOps, and SRE
• Improving AI Accuracy
• AIOps System Visibility
Module 8:
Implementing AIOps in the Organization
• Avoiding Common Challenges
• Ethics and ML
• Paths to Implementation
Exam & Certification
Successfully passing (65%) the 60-minute examination, consisting of 40 multiple-choice questions, leads to the AIOps Foundation certificate. The certification is governed and maintained by DevOps Institute, a member of the PeopleCert Group.
FAQs
Are there any pre-requisites for this course?
Familiarity with IT terminology and IT related work experience are recommended.
How do I need to take the exam?
TaUB Solutions will request the examinations together with your registration. The exam will be taken at the end of the course. Results are available within 5 working days.