The course covers the origins of AIOps including the history behind the term, patterns that preceded it and the technology context in which it has evolved. Learners will gain an understanding of the processes of combining big data analytics, machine learning algorithms, automation, and optimization into a single platform.

Key principles and foundational concepts 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. 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 course provides learners with an 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.

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

Relationship Management Practice

• The key concepts of the practice.
• The processes of the practice.
• The roles and competences of the practice.
• How information and technology support and enable the practice.
• The role of partners and suppliers in the practice.
• How the ITIL® capability model can be used to develop the practice.
• The recommendations for the practice success

Supplier Management Practice

• The key concepts of the practice.
• The processes of the practice.
• The roles and competences of the practice.
• How information and technology support and enable the practice.
• Τhe role of partners and suppliers in the practice.
• Ηow the ITIL capability model can be used to develop the practice.
• The recommendations for the practice success

Service Level Management Practice

• The key concepts of the practice.
• The processes of the practice.
• The roles and competences of the practice.
• How information and technology support and enable the practice.
• The role of partners and suppliers in the practice.
• How the ITIL® capability model can be used to develop the practice
• The recommendations for the practice success

Information Security Management Practice

• The key concepts of the practice.
• The processes of the practice.
• The roles and competences of the practice.
• How information and technology support and enable the practice.
• The role of partners and suppliers in the practice.
• How the ITIL® capability model can be used to develop the practice.
• The recommendations for practice success.

Continual Improvement Practice

• The key concepts of the practice.
• The processes of the practice.
• The roles and competences of the practice.
• How information and technology support and enable the practice.
• The role of partners and suppliers in the practice.
• How the ITIL® capability model can be used to develop the practice.
• The recommendations for the practice success.

Collaborate, Assure and Improve

• Understand the processes and value streams of the Collaborate, Assure and Improve practices.
• How information and technology support and enable the practices.
• Recommendations for the Collaborate, Assure and Improve practices success.
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On completion of this course, the following learning outcomes will be achieved:

• Understand the history, origins, current developments, basic concepts and key principles within AIOps
• Understand AIOps-related concepts of big data and artificial intelligence and relationship with MLOps
• Understand effectiveness of AIOps deployment and possible benefits
• Understand mindset changes, collaboration and skills for AIOps to be applied in the organization
• Quantifying implementation outcomes
• Understand typical challenges and opportunities in applying AIOps
• Visualize the potential challenges, trends and ethical considerations organizations face in an AIOps initiative

The target audience for this course are professionals, such as:

• Anyone focused on IT Operations
• Anyone interested in software in today’s IT landscape
• AIOps Architects and Engineers
• Business Managers, Stakeholders
• Cloud Engineers
• Data Engineers and Scientists
• DevOps Engineers and Practitioners
• IT Directors
• IT Managers
• IT Security Analysts
• IT Team Leaders
• Product Owners
• Scrum Masters
• Software Engineers
• Site Reliability Engineers
• System Integrators
• AIOps Platform and Tool Providers

Participants who successfully complete the course and pass the examination will be recognised as a certified AIOps Foundation (AOF) practitioner. The certification is issued and maintained by DevOps Institute. Delegates who do not attain a passing score for the examination would be awarded a course attendance certificate only.

• 40 Multiple Choice
• 1 mark per correct answer
• 26 marks required to pass  (out of 40 available) – 65%
• Sixty minutes duration
• Web-based Open-book exam

There are no pre-course reading resources or assignments prior to attending the course.