Enterprise AIOps with Splunk, Moogsoft, and Dynatrace Training Course

AIOps is a swiftly advancing domain designed to meet the demands of contemporary, intricate IT environments, especially those leveraging cloud architectures. The AIOps Foundation course provides a thorough overview of the underlying concepts, technologies, and best practices associated with integrating artificial intelligence into IT operations.

The curriculum delves into the historical context of AIOps, its fundamental principles, essential tools, and the organizational hurdles IT teams often encounter when adopting these methodologies.

Upon completion, participants take an exam. Successfully passing this assessment awards the globally acknowledged AIOps Foundation certification, which remains valid for three years.

Who is this course for?

This programme is tailored for professionals and managers working in:

IT operations

DevOps and Site Reliability Engineering (SRE)

Cloud architecture

Data analysis and Data Science

Software development

IT security

Product and project management

AIOps (Artificial Intelligence for IT Operations) is gaining traction for anticipating incidents before they happen and automating root cause analysis (RCA) to cut down on downtime and speed up resolution times.

This instructor-led live training, available both online and onsite, is tailored for advanced IT professionals looking to implement predictive analytics, automate remediation processes, and design smart RCA workflows using AIOps tools and machine learning models.

Upon completing this training, participants will be equipped to:

• Construct and train machine learning models to identify patterns that lead to system failures.
• Automate RCA workflows by correlating data from multiple sources, including logs and metrics.
• Seamlessly integrate alerting and remediation processes into existing platforms.
• Deploy and scale intelligent AIOps pipelines within production environments.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live lab environment.

Course Customization Options

• For customized training requests for this course, please get in touch with us to make arrangements.

AIOps (Artificial Intelligence for IT Operations) represents a practice that leverages machine learning and analytics to automate and enhance IT operations, specifically in monitoring, incident detection, and response.

This instructor-led live training, available online or onsite, targets intermediate-level IT operations professionals who aim to implement AIOps techniques to correlate metrics and logs, minimize alert noise, and enhance observability through intelligent automation.

Upon completing this training, participants will be able to:

• Grasp the principles and architecture of AIOps platforms.
• Correlate data across logs, metrics, and traces to pinpoint root causes.
• Alleviate alert fatigue via intelligent filtering and noise suppression.
• Utilize open-source or commercial tools to monitor and respond to incidents automatically.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and practice sessions.
• Hands-on implementation within a live lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

Constructing an AIOps pipeline entirely with open-source tools empowers teams to create cost-efficient and adaptable solutions for monitoring, anomaly identification, and smart alerting within production settings.

This instructor-led, live training (available online or onsite) targets advanced engineers looking to build and implement a complete AIOps pipeline using tools such as Prometheus, ELK, Grafana, and custom machine learning models.

Upon completion of this training, participants will be able to:

• Design an AIOps architecture utilising only open-source components.
• Gather and standardize data from logs, metrics, and traces.
• Apply machine learning models to identify anomalies and forecast incidents.
• Automate alerting and remediation processes using open-source tooling.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• For customized training arrangements for this course, please reach out to us.

Prometheus and Grafana are industry-standard tools for ensuring observability in contemporary infrastructure. By integrating machine learning, these tools gain the ability to provide predictive and intelligent insights, thereby automating operational decisions.

This instructor-led live training, available both online and onsite, is designed for intermediate-level observability professionals aiming to modernize their monitoring infrastructure. The course focuses on integrating AIOps practices using Prometheus, Grafana, and machine learning techniques.

Upon completing this training, participants will be equipped to:

• Configure Prometheus and Grafana to ensure comprehensive observability across various systems and services.
• Collect, store, and visualize high-quality time-series data effectively.
• Apply machine learning models for effective anomaly detection and forecasting.
• Develop intelligent alerting rules driven by predictive insights.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live lab environment.

Customization Options

• For customized training requests for this course, please reach out to us to make arrangements.