Suzhou, Jinghope Plaza

11/F, 11/F, Tower 2, 88 Hua Chi Street, SIP, Suzhou, China, 215021

Situated right in the core of the Suzhou industry zone, The Regus Centre is on the 11th floor of Jinghope Plaza. Jinghope Plaza is a mixed use complex comprising a high-end shopping mall, 5 star hotel and international Grade A office building. It is one of the most prestigious landmarks in the financial center of Suzhou. Advanced facilities and central location attract many Fortune 500 companies such as Nokia, Philips and 3M. Jinghope Plaza has easy access to excellent facilities and amenities in Suzhou. Metro Line 1 Times Square station is just in the basement of the complex. The high-speed train station which provides easy transportation to Shanghai and Nanjing is only a 5 minutes drive from the centre.

Jinhe Plaza

11th Floor, No. 2, 88 Huachi Street, Industrial Park, Suzhou, China, 215021

The center of Jinhe Plaza is located at the core of Suzhou Industrial Zone, on the east bank of Jinji Lake. Jinhe Plaza is a comprehensive building, including high-end shopping malls, five-star hotels, international Grade A office buildings, and Regus is located on the eleventh floor of the building. As the most famous landmark in Suzhou Financial Center, with its advanced facilities and central location, it has attracted many Fortune 500 companies such as Nokia, Philips and 3M. Jinhe Plaza provides easy access to all major core areas of Suzhou. Metro Line 1 Times Square Station is located on the basement of the building, while the High Speed ​​Rail Station to Shanghai and Nanjing is a 5-minute drive away.

Explore Our Courses

Building an AIOps Pipeline with Open Source Tools

 14 Hours

An AIOps pipeline built entirely with open-source tools allows teams to design cost-effective and flexible solutions for observability, anomaly detection, and intelligent alerting in production environments.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers who wish to build and deploy an end-to-end AIOps pipeline using tools like Prometheus, ELK, Grafana, and custom ML models.

By the end of this training, participants will be able to:

  • Design an AIOps architecture using only open-source components.
  • Collect and normalize data from logs, metrics, and traces.
  • Apply ML models to detect anomalies and predict incidents.
  • Automate alerting and remediation using open tooling.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Enterprise AIOps with Splunk, Moogsoft, and Dynatrace

 14 Hours

Enterprise AIOps platforms like Splunk, Moogsoft, and Dynatrace provide powerful capabilities for detecting anomalies, correlating alerts, and automating responses across large-scale IT environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level enterprise IT teams who wish to integrate AIOps tools into their existing observability stack and operational workflows.

By the end of this training, participants will be able to:

  • Configure and integrate Splunk, Moogsoft, and Dynatrace into a unified AIOps architecture.
  • Correlate metrics, logs, and events across distributed systems using AI-driven analysis.
  • Automate incident detection, prioritization, and response with built-in and custom workflows.
  • Optimize performance, reduce MTTR, and improve operational efficiency at enterprise scale.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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AIOps in Action: Incident Prediction and Root Cause Automation

 14 Hours

AIOps (Artificial Intelligence for IT Operations) is increasingly being used to predict incidents before they occur and automate root cause analysis (RCA) to minimize downtime and accelerate resolution.

This instructor-led, live training (online or onsite) is aimed at advanced-level IT professionals who wish to implement predictive analytics, automate remediation, and design intelligent RCA workflows using AIOps tools and machine learning models.

By the end of this training, participants will be able to:

  • Build and train ML models to detect patterns leading to system failures.
  • Automate RCA workflows based on multi-source log and metric correlation.
  • Integrate alerting and remediation processes into existing platforms.
  • Deploy and scale intelligent AIOps pipelines in production environments.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
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Implementing AIOps with Prometheus, Grafana, and ML

 14 Hours

Prometheus and Grafana are widely adopted tools for observability in modern infrastructure, while machine learning enhances these tools with predictive and intelligent insights to automate operations decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level observability professionals who wish to modernize their monitoring infrastructure by integrating AIOps practices using Prometheus, Grafana, and ML techniques.

By the end of this training, participants will be able to:

  • Configure Prometheus and Grafana for observability across systems and services.
  • Collect, store, and visualize high-quality time series data.
  • Apply machine learning models for anomaly detection and forecasting.
  • Build intelligent alerting rules based on predictive insights.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

AIOps Fundamentals: Monitoring, Correlation, and Intelligent Alerting

 14 Hours

AIOps (Artificial Intelligence for IT Operations) is a practice that applies machine learning and analytics to automate and improve IT operations, particularly in the areas of monitoring, incident detection, and response.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT operations professionals who wish to implement AIOps techniques to correlate metrics and logs, reduce alert noise, and improve observability through intelligent automation.

By the end of this training, participants will be able to:

  • Understand the principles and architecture of AIOps platforms.
  • Correlate data across logs, metrics, and traces to identify root causes.
  • Reduce alert fatigue through intelligent filtering and noise suppression.
  • Use open-source or commercial tools to monitor and respond to incidents automatically.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

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Upcoming Courses

Building an AIOps Pipeline with Open Source Tools

2025-08-05 09:30
14 hours
Jinhe Plaza

AIOps in Action: Incident Prediction and Root Cause Automation

2025-08-19 09:30
14 hours
Suzhou, Jinghope Plaza

AIOps Fundamentals: Monitoring, Correlation, and Intelligent Alerting

2025-09-02 09:30
14 hours
Jinhe Plaza

Implementing AIOps with Prometheus, Grafana, and ML

2025-09-16 09:30
14 hours
Suzhou, Jinghope Plaza

AIOps in Action: Incident Prediction and Root Cause Automation

2025-09-30 09:30
14 hours
Jinhe Plaza

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