AiOps is becoming a critical skill for modern IT, DevOps, and cloud professionals who work with complex, always‑on systems. In many organizations, teams are drowning in alerts, logs, and incidents, yet still struggle to find root causes quickly and prevent outages. The AiOps Certified Professional (AIOCP) course at DevOpsSchool is designed to bridge this gap by teaching how to apply machine learning and automation to IT operations in a practical, project‑oriented way.
Real problems professionals face
Modern IT environments generate massive volumes of logs, metrics, traces, and events from microservices, containers, cloud platforms, and monitoring tools. Teams face a few common challenges:
- Too many alerts and false positives, leading to alert fatigue and missed critical incidents.
- Slow mean time to resolution (MTTR) because it is hard to correlate events and identify root causes across distributed systems.
- Reactive firefighting instead of proactive detection and prevention of issues.
- Difficulty scaling traditional operations practices to complex, hybrid and multi‑cloud infrastructures.
These challenges directly affect uptime, customer experience, and team productivity in DevOps, SRE, and cloud roles.
How this course helps solve it
The AiOps Certified Professional (AIOCP) course is structured to help learners understand how to use AI and machine learning to automate parts of IT operations. It focuses on aggregating, analyzing, and acting on operational data coming from logs, metrics, and events.
- Learners see how AiOps platforms detect anomalies, correlate alerts, and suggest or trigger remediation steps.
- The course connects concepts directly to real‑world tools and setups used in DevOps, cloud, and SRE environments.
What the reader will gain
By the end of this course, participants are expected to gain:
- A clear mental model of what AiOps is and how it fits into modern DevOps and SRE practices.
- Hands‑on understanding of how to work with data, alerts, and incident workflows in an AiOps‑enabled environment.
- Skills that can be applied in roles like DevOps Engineer, SRE, Cloud Engineer, Monitoring/Observability Engineer, or IT Operations Lead.
Course overview
The AiOps Certified Professional course sits alongside other advanced programs such as DevOps, DevSecOps, SRE, MLOps, and DataOps at DevOpsSchool, which shows its positioning for serious practitioners. The AIOCP course is listed with a duration of 100 hours, indicating a deep, structured learning path rather than a quick overview.
What the course is about
At its core, this course is about applying artificial intelligence to IT operations for:
- Intelligent monitoring and observability.
- Automated incident detection, correlation, and prioritization.
- Faster root cause analysis using data‑driven insights.
- Supporting self‑healing or auto‑remediation workflows where appropriate.
The course also frames AiOps as part of a broader ecosystem that includes DevOps, SRE, MLOps, and DataOps, which are highlighted among the trainer’s areas of expertise.
Skills and tools covered
While the AiOps page is focused on trainers and course positioning, DevOpsSchool’s overall portfolio and Rajesh Kumar’s profile give a strong signal of the ecosystem of tools and skills that are usually used around AiOps. Learners can expect to work with or at least understand:
- Monitoring and observability tools such as Prometheus, Grafana, Datadog, Nagios, NewRelic, ELK, and Splunk.
- Log analytics and metrics pipelines using Elasticsearch, Kibana, and similar stacks.
- Cloud platforms such as AWS, Azure, and Google Cloud that host the infrastructure and data for AiOps use cases.
- Automation and infrastructure tools like Terraform, Ansible, Jenkins, Kubernetes, and containers that interact with AiOps workflows.
The technical stack of the trainer shows deep coverage in monitoring, logging, automation, and cloud – all core foundations for any serious AiOps implementation.
Course structure and learning flow
DevOpsSchool emphasizes live, instructor‑led virtual training delivered through platforms like Webex and GoToMeeting. There is a strong focus on hands‑on labs, real‑life projects, and step‑by‑step guides using virtual machines or cloud instances.
The general flow typically includes:
- Concept introduction with practical examples instead of theory‑heavy lectures.
- Guided setup of lab environments using cloud or virtual machines.
- Scenario‑based exercises where learners work through incidents, alerts, and data analysis.
- Assignments and project work that demonstrate understanding of AiOps workflows.
Participants also get lifetime access to learning materials such as recordings, presentations, notes, and step‑by‑step guides through the learning management system (LMS).
Why this course is important today
Industry demand
Organizations are moving from traditional monitoring to intelligent, AI‑driven operations to handle the scale and complexity of modern systems. As companies adopt microservices, containers, and multi‑cloud environments, manual monitoring and triage become unsustainable.
AiOps professionals are needed to:
- Design and operate intelligent monitoring and alerting systems.
- Reduce MTTR and improve reliability in production environments.
- Collaborate with DevOps, SRE, and security teams to create automated, data‑driven workflows.
Being able to speak the language of AiOps and work with relevant tools is increasingly a differentiator in senior DevOps and SRE roles.
Career relevance
The AiOps Certified Professional course is placed at the same level as other high‑value certifications like DevSecOps, SRE, and MLOps in the DevOpsSchool catalog. This signals that the course is designed for professionals aiming for mid‑ to senior‑level roles in operations, reliability, and automation.
Completing such a structured program can help professionals:
- Demonstrate readiness for roles linked to observability, incident management, and AI‑driven operations.
- Strengthen their profiles when applying for DevOps, SRE, platform engineering, or cloud operations positions.
- Speak confidently about AiOps concepts, architectures, and tools in interviews and technical discussions.
Real‑world usage
In real projects, AiOps is not an isolated technology but a layer on top of existing monitoring, logging, CI/CD, and infrastructure automation. The trainer’s experience with large enterprises such as ServiceNow, JDA, Intuit, Adobe, IBM, and others shows how these practices play out at scale.
Learners can relate the coursework to situations like:
- Managing hundreds of build servers and monitoring complex CI/CD pipelines.
- Observing and analyzing metrics from microservices and containers across multiple environments.
- Integrating logs, metrics, and events into unified dashboards and alerting systems.
What you will learn from this course
Technical skills
The AiOps course builds a range of practical technical skills needed for modern operations:
- Working with logs, metrics, and traces as key data sources for AiOps workflows.
- Understanding anomaly detection, pattern recognition, and correlation concepts in an operational context.
- Integrating AiOps workflows with tools like CI/CD pipelines, monitoring systems, and configuration management.
- Using cloud environments and automation to provision and manage the infrastructure that AiOps relies on.
Given the trainer’s skill set, there is a strong emphasis on tooling that is widely used in enterprises, including Kubernetes, Docker, AWS, Azure, GCP, Jenkins, and observability stacks.
Practical understanding
The training format is designed to be highly hands‑on, with practical labs, scenarios, and project work taking priority over purely theoretical lectures. Learners practice:
- Interpreting dashboards, alerts, and logs to understand system behavior.
- Walking through incident lifecycles from detection to resolution, using AiOps features where applicable.
- Applying structured approaches for root cause analysis and continuous improvement.
Because instructors are active industry professionals, they bring real incident stories, migration experiences, and operational challenges to the classroom.
Job‑oriented outcomes
While DevOpsSchool does not provide direct placement assistance, it focuses strongly on interview readiness and portfolio‑building through real projects. Job‑oriented outcomes of this AiOps course typically include:
- Stronger resumes that reflect AiOps, observability, and automation experience.
- Confidence in answering practical interview questions about monitoring, incident management, and data‑driven operations.
- The ability to contribute meaningfully to reliability initiatives in current or future roles.
How this course helps in real projects
Real project scenarios
The AiOps course is delivered by trainers who have implemented large‑scale CI/CD, cloud, and monitoring solutions in real organizations across sectors like telecom, finance, and technology. This experience shapes the scenarios and examples used in the course.
Typical project situations covered include:
- Handling alert storms during peak traffic or deployment events and using correlation to cut noise.
- Identifying slowdowns or errors in distributed services by aggregating and analyzing metrics and logs.
- Designing dashboards and alerting strategies that align with SLOs and SLIs.
Team and workflow impact
AiOps is most effective when integrated into team workflows rather than treated as a separate tool. Through the course, learners see how AiOps concepts connect with:
- Dev, QA, and operations collaboration around incidents and deployments.
- Continuous integration and delivery pipelines that feed data into AiOps systems.
- Documentation and knowledge sharing practices that help teams interpret and act on AiOps insights.
The trainer’s history of mentoring teams, defining branching and release strategies, and setting up monitoring and alerting systems gives participants a realistic view of how AiOps changes day‑to‑day work in engineering teams.
Course highlights and benefits
Learning approach
DevOpsSchool follows a structured, instructor‑led model focused on practical learning. Key aspects include:
- Live virtual sessions taught by industry experts with 10–15+ years of experience.
- Hands‑on labs using cloud or virtual environments.
- Lifetime access to recordings, notes, and step‑by‑step installation and configuration guides.
There is also flexibility to revisit sessions by joining another live batch within three months if a class is missed.
Practical exposure
The course is built around working professionals’ needs, so it emphasizes real tools and environments rather than simulated, academic setups. Learners:
- Work through scenarios that resemble real production systems and incident patterns.
- Apply concepts immediately using mainstream DevOps, cloud, and monitoring tools.
- Get guided by trainers who have already solved similar problems in enterprise projects.
Career advantages
By combining AiOps knowledge with existing DevOps, SRE, or cloud skills, participants can position themselves for more advanced roles in operations and reliability engineering. Since AiOps is increasingly integrated into observability platforms and IT operations tools, having this competency makes a professional more valuable in transformation and modernization initiatives.
AiOps course summary table
The table below summarizes key features, learning outcomes, benefits, and ideal audience for the AiOps Certified Professional course at DevOpsSchool.
| Aspect | Details |
|---|---|
| Course features | AiOps Certified Professional (AIOCP) program, approximately 100 hours of instructor‑led virtual training with hands‑on labs, lifetime access to recordings and materials via LMS. |
| Learning outcomes | Ability to apply AiOps concepts to monitor complex systems, analyze logs and metrics, reduce MTTR, and integrate AI‑driven insights into DevOps and SRE workflows. |
| Benefits | Practical, project‑oriented training by industry experts, improved interview readiness, stronger profile for DevOps/SRE/cloud roles focused on observability and intelligent operations. |
| Who should take it | Beginners in operations with some technical background, working professionals in DevOps/SRE/Cloud/IT Ops, and career switchers aiming for data‑driven operations roles. |
About DevOpsSchool
DevOpsSchool is a specialized training platform focused on DevOps, cloud, automation, and related practices for working professionals worldwide. It emphasizes practical, hands‑on learning with live instructor‑led sessions, real project scenarios, and lifetime access to learning materials, making it a trusted choice for professionals who want industry‑relevant skills rather than purely theoretical knowledge.
About Rajesh Kumar
Rajesh Kumar is a highly experienced DevOps architect and trainer with over 15 years of hands‑on work across multiple global enterprises and more than 20 years of overall industry exposure. He is known for mentoring thousands of engineers, providing industry mentoring and real‑world guidance in areas such as DevOps, SRE, DevSecOps, DataOps, MLOps, and AiOps, and has led consulting and training engagements for organizations like Verizon, Nokia, World Bank, HCL, IBM, and many more.
Who should take this course
The AiOps Certified Professional course is designed to be accessible yet deep enough for serious practitioners. It is well‑suited for:
- Beginners in IT or operations who understand basic computing or scripting and want to move into modern operations, observability, or reliability roles.
- Working professionals in DevOps, SRE, infrastructure, or cloud engineering who need to add AiOps and intelligent monitoring to their skill set.
- Career switchers from traditional system administration, support, or QA who want to move into data‑driven, automation‑focused operations roles.
- Software engineers who want a better understanding of production behavior, reliability, and how AiOps can improve deployment and release outcomes.
Because the course is delivered online with flexible access to materials, it fits professionals balancing learning with full‑time work.
Conclusion
AiOps is no longer a niche concept; it is quickly becoming part of the standard toolkit for teams responsible for keeping complex, cloud‑native systems reliable and efficient. The AiOps Certified Professional course at DevOpsSchool grounds this concept in real tools, real data, and real project scenarios, guided by experienced trainers who have implemented these practices in large organizations.
For learners and professionals who want to make their operations smarter, more automated, and more data‑driven, this course offers a structured path from fundamentals to practical, job‑oriented skills that can be applied immediately in modern DevOps and SRE environments. once it will be linked to the official course page at DevOpsSchool for reference: AiOps.
Call to Action & Contact Information
For more details about the AiOps training, scheduling, or batch options, interested learners can reach DevOpsSchool using the following contact information (email and phone/WhatsApp available for India and USA participants):
- Email: contact@DevOpsSchool.com
- Phone & WhatsApp (India): +91 84094 92687
- Phone & WhatsApp (USA): +1 (469) 756-6329