Totowa, NJ – Regus at Riverview Drive

999 Riverview Dr 2nd Floor, Totowa, United States, 07512

The venue is located in a landscaped corporate park off Route 46 and I‑80, offering easy access by car and free on-site parking. From Newark Liberty International Airport (EWR), about 15 miles away, a taxi or rideshare ride via I‑78 West typically takes 20–25 minutes. Visitors arriving by car from New York City or northern NJ can use I‑80, I‑287, or the Garden State Parkway. Public transit is also convenient: NJ Transit and local bus routes stop near the Riverview campus, and the Little Falls train station is just a short rideshare or walk away.

Princeton, NJ – Regus at Overlook Business Center

100 Overlook Center, 2nd Floor, Princeton, United States, 08540

The venue is located just off Route 1 within a landscaped office park at Overlook Center, easily reached by car via I‑95 or US‑1, with complimentary on-site parking. From Newark Liberty or Philadelphia International Airports, travel takes approximately 1–1.5 hours via I‑95 and US‑1. Attendees can also arrive by train: New Jersey Transit and Amtrak serve Princeton Junction Station (about 3 miles away), with local shuttle or taxi options for the final leg. Public transit users can take local DART or Coach USA buses that stop at Route 1 and University Drive, followed by a brief walk to building entrance.

Newark, NJ – At One Gateway Center

One Gateway Center, Suite 2600, Newark, United States, 07102

The venue is situated within the iconic One Gateway Center, directly connected to Newark Penn Station via covered walkway, and is conveniently accessible by car via I‑95, I‑78, I‑280, and the New Jersey Turnpike, with public garages nearby. Visitors arriving from Newark Liberty International Airport (EWR), roughly 3 miles away, can expect a 10-minute taxi or rideshare ride via I‑78 West. Those coming by train benefit from Penn Station, which also connects by PATH service to Manhattan in under 20 minutes. Local NJ Transit and Newark Light Rail bus routes also serve the Gateway complex, offering seamless public transit access.

Jersey City, NJ – Regus at Hudson Street

101 Hudson Street, 21st Floor, Jersey City, united states, 07302

The venue is located on the 21st floor of the 42‑story Merrill Lynch Building at 101 Hudson Street in Paulus Hook, reachable by car via I‑78, I‑95, or the New Jersey Turnpike, with public and building parking available. From Newark Liberty Airport (EWR), about 8 miles away, taxis or rideshares take 15–20 minutes via I‑78 East. Attendees arriving by train can use Newark Penn or PATH to Exchange Place or Newport stations, then walk 5–7 minutes to the building. Multiple NJ Transit and local bus routes also serve the area.

Trenton, NJ – Base Camp Trenton

247 E Front St, Trenton, United States, 08611

The venue is located in downtown Trenton on Front Street, just off Route 29 and a short drive from I‑295, offering easy car access with street and municipal lot parking nearby. Visitors coming from Newark Liberty International Airport (EWR), about 45 miles northeast, can expect a taxi or rideshare ride of roughly 50–60 minutes via I‑95 South. Those arriving from Philadelphia International Airport (PHL), approximately 25 miles southwest, typically take about 35–45 minutes via I‑95 North. Public transit is also convenient—NJ Transit trains arrive at Trenton Transit Center just a few blocks away and local DART First State buses stop near Front Street, placing the venue within short walking distance for attendees without a car.

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Category for AIOps

AIOps

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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AI-Powered QA Automation in CI/CD

 14 Hours

AI-powered QA automation enhances traditional testing by generating smart test cases, optimizing regression coverage, and integrating intelligent quality gates into CI/CD pipelines for scalable and reliable software delivery.

This instructor-led, live training (online or onsite) is aimed at intermediate-level QA and DevOps professionals who wish to apply AI tools to automate and scale quality assurance in continuous integration and deployment workflows.

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

  • Generate, prioritize, and maintain tests using AI-driven automation platforms.
  • Integrate intelligent QA gates into CI/CD pipelines to prevent regressions.
  • Use AI for exploratory testing, defect prediction, and test flakiness analysis.
  • Optimize testing time and coverage across fast-moving agile projects.

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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LLMs and Agents in DevOps Workflows

 14 Hours

LLMs and autonomous agent frameworks like AutoGen and CrewAI are redefining how DevOps teams automate tasks such as change tracking, test generation, and alert triage by simulating human-like collaboration and decision-making.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers who wish to design and implement DevOps automation workflows powered by large language models (LLMs) and multi-agent systems.

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

  • Integrate LLM-based agents into CI/CD workflows for smart automation.
  • Automate test generation, commit analysis, and change summaries using agents.
  • Coordinate multiple agents for triaging alerts, generating responses, and providing DevOps recommendations.
  • Build secure and maintainable agent-powered workflows using open-source frameworks.

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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DevSecOps with AI: Automating Security in the Pipeline

 14 Hours

DevSecOps with AI is the practice of integrating artificial intelligence into DevOps pipelines to proactively detect vulnerabilities, enforce security policies, and automate response actions throughout the software delivery lifecycle.

This instructor-led, live training (online or onsite) is aimed at intermediate-level DevOps and security professionals who wish to apply AI-based tools and practices to enhance security automation across development and deployment pipelines.

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

  • Embed AI-driven security tools into CI/CD pipelines.
  • Use static and dynamic analysis powered by AI to detect issues earlier.
  • Automate secrets detection, code vulnerability scanning, and dependency risk analysis.
  • Enable proactive threat modeling and policy enforcement using intelligent techniques.

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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GitHub Copilot for DevOps Automation and Productivity

 14 Hours

GitHub Copilot is an AI-powered coding assistant that helps automate development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to use GitHub Copilot to streamline DevOps tasks, improve automation, and boost productivity.

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

  • Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
  • Leverage AI code completion in YAML files and GitHub Actions.
  • Accelerate testing, deployment, and automation workflows.
  • Apply Copilot responsibly with an understanding of AI limitations and best practices.

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...

AI for DevOps: Integrating Intelligence into CI/CD Pipelines

 14 Hours

AI for DevOps is the application of artificial intelligence to enhance continuous integration, testing, deployment, and delivery processes with intelligent automation and optimization techniques.

This instructor-led, live training (online or onsite) is aimed at intermediate-level DevOps professionals who wish to incorporate AI and machine learning into their CI/CD pipelines to improve speed, accuracy, and quality.

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

  • Integrate AI tools into CI/CD workflows for intelligent automation.
  • Apply AI-based testing, code analysis, and change impact detection.
  • Optimize build and deployment strategies using predictive insights.
  • Implement traceability and continuous improvement using AI-enhanced feedback loops.

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

LLMs and Agents in DevOps Workflows

2025-08-11 9:30 am
14 hours
Princeton, NJ – Regus at Overlook Business Center
$ 2703 (Online)
$ 2703 (Classroom)

AIOps Fundamentals: Monitoring, Correlation, and Intelligent Alerting

2025-08-25 9:30 am
14 hours
Totowa, NJ – Regus at Riverview Drive
$ 2703 (Online)
$ 2703 (Classroom)

Implementing AIOps with Prometheus, Grafana, and ML

2025-09-08 9:30 am
14 hours
Princeton, NJ – Regus at Overlook Business Center
$ 2703 (Online)
$ 2703 (Classroom)

Building an AIOps Pipeline with Open Source Tools

2025-09-22 9:30 am
14 hours
Totowa, NJ – Regus at Riverview Drive
$ 2703 (Online)
$ 2703 (Classroom)

DevSecOps with AI: Automating Security in the Pipeline

2025-10-06 9:30 am
14 hours
Princeton, NJ – Regus at Overlook Business Center
$ 2703 (Online)
$ 2703 (Classroom)

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