AIOps Training in South Africa

Deploying an AIOps pipeline entirely through open-source components empowers teams to architect cost-efficient and adaptable solutions for monitoring, anomaly detection, and intelligent alerting within production environments.

This instructor-led training session, available either online or onsite, is tailored for senior-level engineers seeking to build and deploy a comprehensive AIOps pipeline employing tools such as Prometheus, ELK, Grafana, and bespoke machine learning models.

Upon completion of this training, attendees will be capable of:

• Architecting an AIOps framework utilising exclusively open-source elements.
• Aggregating and standardising data derived from logs, metrics, and traces.
• Implementing machine learning algorithms to identify anomalies and forecast incidents.
• Automating alert notifications and remediation processes using open-source tooling.

Course Format

• Engaging lectures complemented by interactive discussion.
• Abundant practical exercises and rehearsal opportunities.
• Practical implementation within a live laboratory environment.

Course Customisation Options

• To enquire about a bespoke training programme for this course, please contact us to make arrangements.

Enterprise-grade AIOps platforms such as Splunk, Moogsoft, and Dynatrace deliver robust capabilities for identifying anomalies, correlating alerts, and automating responses across large-scale IT infrastructures.

This instructor-led training, available online or onsite, is designed for intermediate-level enterprise IT teams seeking to integrate AIOps tools into their current observability stacks and operational workflows.

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

• Configure and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Correlate metrics, logs, and events across distributed systems using AI-driven analysis.
• Automate incident detection, prioritisation, and response through built-in and custom workflows.
• Optimise performance, reduce MTTR, and enhance operational efficiency at an enterprise scale.

Course Format

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

Course Customisation Options

• To request customised training for this course, please contact us to arrange.

AIOps (Artificial Intelligence for IT Operations) is increasingly being leveraged to anticipate incidents before they happen and to automate root cause analysis (RCA), thereby reducing downtime and speeding up resolution times.

This instructor-led, live training session (available online or onsite) is designed for advanced IT professionals who want to implement predictive analytics, automate remediation processes, and design intelligent RCA workflows using AIOps tools and machine learning models.

Upon completing this training, participants will be able to:

• Develop and train machine learning models to detect patterns that precede system failures.
• Automate RCA workflows by correlating logs and metrics from multiple sources.
• 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.

Customisation Options

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

Prometheus and Grafana are extensively adopted tools for ensuring observability within modern infrastructure. By integrating machine learning, these tools are enhanced with predictive and intelligent insights, thereby enabling automated operational decision-making.

This instructor-led live training (available online or onsite) targets intermediate-level observability professionals who aim to modernize their monitoring infrastructure. The course focuses on integrating AIOps practices by leveraging Prometheus, Grafana, and machine learning techniques.

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

• Configure Prometheus and Grafana to establish comprehensive observability across various systems and services.
• Collect, store, and visualise high-quality time series data.
• Deploy machine learning models for effective anomaly detection and forecasting.
• Develop intelligent alerting rules derived from predictive insights.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customisation Options

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

AIOps (Artificial Intelligence for IT Operations) is a discipline that leverages machine learning and analytics to automate and enhance IT operations, with a particular focus on monitoring, incident detection, and response.

This instructor-led live training (available online or on-site) targets intermediate IT operations professionals who aim to implement AIOps techniques to correlate metrics and logs, diminish alert noise, and elevate observability through intelligent automation.

Upon completion of this training, participants will be capable of:

• Grasping the principles and architecture underpinning AIOps platforms.
• Correlating data across logs, metrics, and traces to pinpoint root causes.
• Mitigating alert fatigue via intelligent filtering and noise suppression.
• Utilizing open-source or commercial tools to monitor and automatically respond to incidents.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical application.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a bespoke training for this course, please contact us to arrange.

This instructor-led, live training in South Africa (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This live, instructor-led training in South Africa (available online or on-site) is designed for SRE and DevOps engineers who wish to design, build, and safely deploy AI agents for autonomous IT operations.

This instructor-led, live training in South Africa (online or onsite) is aimed at ML engineers and platform teams who need to build robust operational pipelines for LLM-powered applications at scale.

This instructor-led, live training in South Africa (online or onsite) is aimed at security and ML engineers who need to identify, test, and defend against attacks on ML models and LLM-powered applications.