Shelton, CT – Regus at One Reservoir Corporate Centre

4 Research Drive, Suite 402, Shelton, United States, 06484

The venue is located within the One Reservoir Corporate Centre business park on Research Drive, easily accessible by car via Route 8 or the Wilbur Cross Parkway, with ample free on-site and adjacent parking. From Tweed New Haven Airport (HVN), approximately 19 miles south, a taxi or rideshare typically takes 25–30 minutes via Route 34 and I‑95 North. Public transit is available via local bus stops on Waterview Drive and Constitution Boulevard South, within a few minutes’ walk to the building entrance, offering convenient options for attendees without a car.

Bridgeport, CT – Regus at Downtown Bridgeport

1000 Lafayette Blvd Downtown, Suite 1100, Bridgeport, United States, 06604

The venue is centrally located in Bridgeport’s downtown core at 1000 Lafayette Boulevard, easily accessible by car via I‑95 and US‑1, with several parking garages nearby and on-site amenities. From Bradley International Airport (BDL), approximately 50 miles north, a taxi or rideshare typically takes 60–70 minutes via I‑84 and I‑95 South. For those using public transit, Metro-North Rail’s Bridgeport Station is about a 5-minute walk from the building, and local Greater Bridgeport Transit (GBT) buses serve stops along Broad and Fairfield Avenues, placing the venue within a short walk for commuters.

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.
Read more...

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.
Read more...

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

Implementing AIOps with Prometheus, Grafana, and ML

2025-12-01 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

AIOps Fundamentals: Monitoring, Correlation, and Intelligent Alerting

2025-12-15 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

AIOps Fundamentals: Monitoring, Correlation, and Intelligent Alerting

2025-12-29 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

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