The AiOps Certified Professional program at DevOpsSchool is designed to help IT and DevOps professionals use artificial intelligence and machine learning to handle complex, noisy, and fast-changing IT environments with confidence. In a world of hybrid clouds, microservices, and 24×7 digital services, this course focuses on making operations smarter, more proactive, and more automated rather than just adding more tools or dashboards.
AiOps is not just another buzzword in the monitoring space; it is a practical way to reduce alert fatigue, cut down incident resolution time, and bring intelligence into everyday operations decisions. By the end of this course, learners understand how to apply AiOps practices and tools in real projects and how to collaborate better with DevOps, SRE, and development teams.
Real Problems This AiOps Course Solves
Many IT teams today struggle with:
- Too many alerts from monitoring tools and no clear priority.
- Slow root cause analysis because logs, events, and metrics live in different systems.
- Repeated incidents due to lack of pattern detection and proactive action.
Traditional monitoring and manual analysis do not scale when infrastructure becomes distributed, containerized, and cloud-native. Teams spend more time reacting than improving systems.
This AiOps Certified Professional (AIOCP) course helps by:
- Teaching how to aggregate and analyze large volumes of operational data (logs, metrics, events) using AI and ML techniques.
- Showing how AiOps platforms detect anomalies, correlate events, and recommend or trigger actions automatically.
- Providing a structured way to bring automation into incident management, root cause analysis, and performance optimization.
Learners gain:
- A clear understanding of AiOps concepts and how they fit into modern DevOps and SRE models.
- Hands-on exposure to real-world scenarios where AiOps reduces mean time to resolution (MTTR) and improves service reliability.
- Confidence to evaluate, design, or contribute to AiOps initiatives in their organizations.
Course Overview
The AiOps Certified Professional (AIOCP) course at DevOpsSchool is positioned alongside other advanced programs like MLOps, DataOps, DevSecOps, and SRE, which shows its depth and alignment with modern engineering practices. It is a 100-hour, instructor-led training that focuses on practical skills for implementing AiOps solutions in enterprise environments.
What the Course Is About
The course centers on Artificial Intelligence for IT Operations as a way to:
- Collect and consolidate data from monitoring, logging, and ticketing systems.
- Use AI/ML models to identify patterns, detect anomalies, and predict failures.
- Automate responses, workflows, and incident handling where appropriate.
Instead of staying at a theory level, the training connects AiOps ideas with DevOps, automation, and cloud-native architectures used in the real world.
Skills and Tools Covered
While the page emphasizes AiOps practices more than individual product names, the course is delivered by trainers with deep hands-on experience across:
- Monitoring and observability tools such as Prometheus, Grafana, ELK/ElasticSearch, Splunk, Datadog, NewRelic, and others used in enterprise environments.
- DevOps, SRE, and automation stacks including Jenkins, Kubernetes, containers, cloud platforms (AWS, Azure, GCP), and configuration tools like Ansible, Puppet, and Chef.
- Data and analytics integrations required for AiOps, such as log pipelines, metric stores, dashboards, and alerting systems.
This background ensures that AiOps is taught in connection with CI/CD, cloud, and operational automation rather than as an isolated concept.
Course Structure and Learning Flow
The AiOps course follows a structured learning approach:
- Concept building: Understanding the fundamentals of AiOps, the types of data involved, and how AI/ML techniques apply to operations.
- Tool and platform exposure: Exploring how AiOps concepts are implemented using real tools, dashboards, and data pipelines.
- Scenario-based learning: Working through real-world use cases in incident management, anomaly detection, and proactive monitoring.
- Projects and exercises: Applying the learning in practical assignments that simulate enterprise environments.
The program runs as live, virtual, instructor-led sessions using platforms such as Webex or GoToMeeting, with lifetime access to recordings, notes, and step-by-step guides through DevOpsSchool’s learning management system.
Why This AiOps Course Is Important Today
Industry Demand
Organizations are dealing with:
- Hybrid and multi-cloud environments.
- Microservices and containerized applications.
- Rapid release cycles and continuous delivery.
In this context, traditional manual operations are no longer enough, and AiOps is emerging as a key capability for modern IT operations. The presence of a dedicated AiOps Certified Professional track alongside DevOps, SRE, DataOps, and MLOps at DevOpsSchool reflects how strongly AiOps is now viewed as a core skill area.
Career Relevance
Professionals who understand AiOps can:
- Bridge the gap between monitoring, data analytics, and automation.
- Contribute to or lead initiatives around intelligent incident management and observability.
- Position themselves for roles in SRE, operations engineering, platform engineering, and DevOps leadership.
Because DevOpsSchool’s trainers have implemented large-scale AiOps and related solutions in enterprises, the course reflects current industry practices, not just theory.
Real-World Usage
AiOps is practically used to:
- Consolidate alerts across multiple monitoring tools to reduce noise.
- Detect unusual patterns in performance metrics or logs before they result in outages.
- Suggest or automate remediation steps based on past incidents and learned patterns.
The course shows how to design such workflows and how AiOps changes day-to-day operational work in real teams.
What You Will Learn from This AiOps Course
Technical Skills
Learners can expect to gain technical depth in:
- Understanding AiOps architecture: data sources, ingestion, storage, analysis, and action layers.
- Working with logs, metrics, and events as inputs for AI/ML-driven analysis in operations.
- Integrating AiOps with monitoring, alerting, and incident management systems used in modern DevOps setups.
Given the trainers’ background, this often includes exposure to tools and platforms used across cloud, containers, and DevOps pipelines.
Practical Understanding
Beyond tools, the course emphasises:
- Designing workflows where AiOps complements existing monitoring rather than replacing it.
- Using AiOps outputs (insights, correlations, anomaly alerts) to drive better decisions in operations and development teams.
- Evaluating AiOps solutions and understanding what is realistic in terms of automation and prediction.
The training style is hands-on and scenario-driven, which helps participants relate concepts directly to their current or future projects.
Job-Oriented Outcomes
By completing the AiOps Certified Professional course, learners are prepared to:
- Participate in or lead AiOps implementation projects in their organizations.
- Contribute to SRE and operations functions with data-driven and AI-enabled practices.
- Communicate more effectively with stakeholders about reliability, performance, and automation improvements supported by AiOps.
DevOpsSchool also supports learners with resume preparation, real-life project exposure, and interview preparation, although it does not provide formal placement services.
How This Course Helps in Real Projects
The AiOps course is designed with real-world implementations in mind, as many of the trainers have delivered DevOps, SRE, and AiOps-style solutions for large enterprises.
Real Project Scenarios
Typical project contexts covered include:
- Managing complex, distributed systems with many microservices and dependencies.
- Handling continuous deployment pipelines where new code lands frequently and issues need quick detection.
- Migrating from traditional monitoring to integrated observability and AiOps platforms.
The course helps learners understand how to:
- Design data flows from monitoring agents, log shippers, or APM tools into AiOps platforms.
- Set up rules and models for anomaly detection, event correlation, and incident prioritization.
- Use AiOps insights to drive performance tuning, capacity planning, and reliability improvements.
Team and Workflow Impact
AiOps changes how teams work together by:
- Providing a shared, centralized view of IT operations for Dev, Ops, SRE, and management.
- Reducing the manual effort in triaging alerts and searching logs, which frees teams to focus on improvement work.
- Supporting scalable operations practices as organizations grow their services and infrastructure.
The course discusses these workflow shifts and prepares learners to act as change agents in their teams.
Course Highlights & Benefits
Learning Approach
DevOpsSchool’s AiOps training is delivered by industry practitioners who balance theory with hands-on practice. Key aspects include:
- Live, instructor-led virtual sessions with interactive discussions.
- Lifetime access to class recordings, notes, and step-by-step guides through the LMS.
- Flexibility to attend missed sessions in future batches within a defined window.
Practical Exposure
The training emphasizes:
- Real examples from enterprise environments where AiOps is used to enhance monitoring and incident management.
- Practical labs and assignments that mirror real operational tasks, including environment setup in cloud or virtualized setups supported by the DevOpsSchool team.
- Guidance on tool configuration, data integration, and operational workflows rather than only conceptual diagrams.
Career Advantages
Key benefits for professionals include:
- Differentiation in the job market with a focused AiOps certification at a time when organizations seek smarter operations capabilities.
- Strong foundation to extend into related fields like SRE, platform engineering, MLOps, and observability engineering.
- Access to trainers with a proven track record of mentoring thousands of engineers globally on DevOps and related practices.
AiOps Course Snapshot: Features, Outcomes, Benefits, Audience
| Area | Details |
|---|---|
| Course features | 100-hour instructor-led AiOps Certified Professional program with live virtual sessions and lifetime access to recordings and materials. |
| Learning outcomes | Ability to design, understand, and work with AiOps solutions for monitoring, anomaly detection, and automated incident handling in real environments. |
| Key benefits | Reduced alert fatigue, improved MTTR, stronger alignment with DevOps/SRE practices, and better readiness for modern operations roles. |
| Who should take the course | IT operations, DevOps, SRE, cloud and software engineers, beginners in operations, and professionals seeking to move into intelligent operations roles. |
To learn more about the detailed AiOps curriculum and enrollment options, explore the dedicated course page on AiOps.
About DevOpsSchool
DevOpsSchool is a training and consulting platform focused on practical, hands-on learning for professionals working in DevOps, cloud, automation, SRE, AiOps, and related fields. It caters primarily to working engineers and organizations, offering live, instructor-led programs supported by a learning management system that provides recordings, notes, and lifetime access to course materials. DevOpsSchool has delivered training to engineers around the world and is recognized for connecting real project experience with structured learning paths.
About Rajesh Kumar
Rajesh Kumar as a seasoned DevOps architect and trainer with over 15 years of extensive experience across multiple global software organizations, working on DevOps, CI/CD, cloud, containers, SRE, DevSecOps, DataOps, MLOps, and AiOps initiatives. He has mentored thousands of engineers worldwide and led or contributed to large-scale automation, monitoring, and reliability projects using tools such as Jenkins, Kubernetes, AWS, Azure, ELK, Splunk, Datadog, Prometheus, and many others in real enterprise environments. As one of the key trainers associated with DevOpsSchool, his guidance ensures that learners receive real-world, implementation-focused mentoring rather than purely theoretical instruction.
Who Should Take This AiOps Course
This AiOps course is suitable for a wide range of learners who want to bring intelligence into IT operations:
- Beginners in operations and DevOps who want a clear, structured introduction to AiOps and its practical impact on monitoring and incident response.
- Working professionals such as system administrators, DevOps engineers, SREs, NOC engineers, and operations managers who handle large or complex environments.
- Career switchers moving from development, testing, or traditional infrastructure roles into modern, automation-focused operations and reliability roles.
- Cloud and software professionals who work with distributed systems and need to understand how AiOps can strengthen their reliability and observability strategies.
Learners who already work with tools like monitoring dashboards, log management systems, or cloud platforms will find this course especially relevant and immediately applicable.
Conclusion
The AiOps Certified Professional course at DevOpsSchool helps learners move beyond traditional monitoring into intelligent, automated, and data-driven IT operations. It combines structured learning, real-world examples, and experienced instructors to build skills that matter in today’s cloud-native, high-scale environments. For professionals who want to reduce operational noise, improve reliability, and align with modern DevOps and SRE practices, this course offers a practical and career-relevant path.
For more details, batch schedules, or queries, you can reach DevOpsSchool at:
Email: contact@DevOpsSchool.com
Phone & WhatsApp (India): +91 84094 92687
Phone & WhatsApp (USA): +1 (469) 756-6329