Course description
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 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.
AIOps Foundation ®
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.
Course description
The AIOps Foundation course introduces the key principles and basic concepts as well as the core technologies of AIOps: big data and machine learning. In this course, students will understand how and why digital transformation, together with the development of machine learning, have led to the emergence of AIOps as an indispensable tool in today's IT landscape.
The course will cover the key technologies of machine learning and big data, basic concepts of artificial intelligence, different 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 an organization, including common challenges and key steps to ensure valuable and successful integration of AI into the day-to-day operations of IT solutions.
The concepts covered in the course will be applied through unique and exciting exercises, followed by example documents, templates, tools and techniques for use.
During the course you will learn how to:
- Clearly understand the history, origins and current development of AIOps.
- Define and understand the basic concepts and key principles of AIOps.
- Understand the general concepts of big data and artificial intelligence and how they relate to AIOps.
- Identify the relationship between AIOps and MLOps.
- Understand the effectiveness and potential benefits of implementing AIOps.
- Understand what changes in mindset, collaboration and skills are required to implement AIOps in an organization.
- Quantify the results of AIOps implementation using industry standard metrics.
- Understand the common challenges and opportunities associated with applying AIOps in an organisation.
- Illustrate the challenges, trends and ethical considerations that organisations may face when adopting an AIOps initiative.
Key features
- Course and material in English
- Suitable for beginners
- Delivery of a 2-day AIOps Foundation accredited course with an accredited DevOps® trainer (8 hours per day).
- Licensed course materials DevOps Institute (member of PeopleCert Group) accredited training materials:
- Learner's Handbook (excellent post lesson reference)
- Sample documents, templates, tools and techniques, glossary, sample exam.
- AIOps Foundation training certificate
- Voucher for an accredited AIOps Foundation qualification.
- Access to value-added resources and communities.
Working methods:
Multimedia presentations, group exercises and discussions, practical workshops, case study and online practice exams.
Target audience:
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 - Those responsible for managing IT infrastructure, responding to incidents and ensuring system availability.
- Site Reliability Engineers (SRE) - Professionals who focus on system reliability, automation and performance monitoring.
- DevOps Engineers - Those who integrate AI and ML into DevOps practices for automation, monitoring and anomaly detection.
- IT managers and leaders - Decision makers who oversee IT operations and want to implement AIOps strategies.
- AI & ML Specialists - Individuals who develop AI/ML models for IT operations and automation.
- Cloud & Infrastructure Engineers - Professionals who work in cloud environments and want to optimise performance through AIOps.
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.
Licensing and accreditation:
TheAIOpsFoundation 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.
The course agenda is based on an agreement with a partner who is a member of the CIOA and has an accredited agreement.
Topics covered:
- Introduction to the course
- Module 1: AIOps Foundation
- History and predecessors
- The role of AIOps
- The differences between AIOps and IT Operations Analytics
- Core technologies and basic concepts
- Stages of AIOps
- Overlapping practices
- Module 2: AIOps in the organisation
- Factors and implications
- AIOps and DevOps
- AIOps and site reliability
- AIOps and security
- Data, telemetry and systems complexity
- A new paradigm for understanding system state
- Module 3: Core technologies: data
- What is Big Data?
- The Five Vs of Big Data
- Characteristics of Big Data
- AIOps data sources and types
- Versatile data
- Module 4: Core technologies: machine learning (ML)
- Artificial Intelligence 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
- Module 5: AIOPs and performance metrics
- Metrics and Operations
- Key metrics to be tracked in different systems
- Agreements, targets and indicators
- Metrics related to events
- Quantification of incidents (MTTD, MTBF, MTTA, MTTR).
- Service level agreements
- Module 6: AIOps use cases and organisational mindset.
- Transition from reactive to proactive
- Characteristics of a reactive approach
- From deterministic to probabilistic
- Deep dive into use cases
- AIOps and organisational change
- Understanding the past and predicting the future
- Module 7: Assessing the impact of AIOps
- AIOps and performance measures
- AIOps, DevOps and SRE.
- Improving the accuracy of AI
- AIOps visibility
- Monitoring the impact of AIOps
- Impact on disruption-related metrics
- AIOps and DORA metrics
- Module 8: Implementing AIOps in the organisation
- Avoiding common challenges
- Ethics and machine learning
- Implementation paths
- Data quality and processes
- Culture and organisational practices
- Knowledge and regulation
- Biases in machine learning
- Privacy and user data
- Exam preparation and course summary
Certification exam; 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
AIOps Frequently Asked Questions
- Will skipping a direct course affect my ability to complete the course?
- Yes, you may miss an exam if you do not attend the course. Therefore, it is always best to inform us at least 2 weeks in advance if you need to make any transfer requests. Please note that a schedule transfer request will not always be granted depending on the situation
- What is AIOps and why is it important for IT operations? AIOps, or Artificial Intelligence for IT Operations, uses machine learning and data analytics to automate and streamline IT operations. As organizations' data volumes grow, AIOps helps manage large amounts of data in real time, reducing the need for human intervention and improving overall efficiency.
- How can AIOps improve anomaly detection and root cause analysis? AIOps uses advanced algorithms for real-time anomaly detection and identifies problems before they affect the system. It also automates root-cause analysis, which speeds up the process of pinpointing problems and helps IT teams resolve them with minimal downtime.
- Can AIOps improve the user experience in IT environments? Yes, AIOps improves the user experience by proactively identifying and fixing performance problems in real time. By reducing system disruptions and improving the speed of problem resolution, AIOps ensures smoother operations, which directly benefits end users.
- How does AIOps reduce human intervention in IT operations? AIOps automates repetitive tasks such as monitoring, alerts and troubleshooting. This reduces human intervention, allowing IT teams to focus on strategic initiatives instead of manually handling routine tasks, while improving system performance and reliability.
Our online classroom courses; we pay special attention to building a positive learning environment for you.
We really care about the details. Positive and effective learning environments are key to our participants' success in preparing for the AIOps exam. We strive to create comfortable learning environments that optimize participants' learning abilities:
- An atmosphere of safety and open and genuine discussion
- A modern online training platform, live classes taught by qualified trainers
- An experienced, certified and seasoned team of trainers.
- Well-structured and compelling plans that lead to high exam scores.
- Licensed and accredited training materials and many interactive online exercises.
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