Why settle for reactive firefighting when AI can help your DevOps pipelines predict, adapt, and heal themselves?
These instructor-led courses explore how AI enhances every phase of DevOps — automating builds, optimizing deployments, detecting anomalies, and forecasting incidents before they escalate.
Training is available as online live sessions via interactive remote desktop, or onsite in Kelowna, with hands-on labs focused on real-world CI/CD systems, monitoring stacks, and cloud platforms.
Whether you're modernizing legacy infrastructure or building intelligent delivery pipelines from scratch, onsite sessions can be held at your facilities in Kelowna or at a NobleProg training center designed for team-based learning.
Also known as AI-Assisted DevOps, Intelligent DevOps, or AI-Enhanced CI/CD, this course track helps teams future-proof their pipelines and move confidently from automation to autonomy.
NobleProg – Your Local Training Provider
Kelowna - Landmark
1631 Dickson Avenue, Kelowna, Canada
Described as Kelowna’s most prestigious business location, Landmark compromises of six office towers in a campus-style complex. Take advantage of close proximity to Highway 97 with on-site parking and local bus routes within a three-minute walk.
Spark creativity during the workday, with floor to ceiling windows looking out over the city below. When you need a break, take a stroll to Parkinson’s Recreation Centre, or entertain visitors at the many restaurants and bars nearby.
Kelowna - The Innovation Centre
460 Doyle Ave, Kelowna, Canada
Inspiring, dynamic and inviting, The Innovation Center is your new working home. Welcome to a different kind of working in Kelowna. The Innovation Center is the city’s first foray into flexible workspace, and makes creating an inspiring environment the priority. Based inside the one-of-a-kind Okanagan Centre for Innovation, this dynamic office environment offers more than just four walls and a desk. Instead, professionals and entrepreneurs will find a choice of spaces, from impressive meeting rooms to collaborative desks and laptop charge points. This highly convenient and incredibly well equipped modern working hub is sure to become your new go-to place for productivity. Located in Kelowna’s vibrant downtown area, it’s near popular local eateries such as nearby Blenz Coffee and Dawett Fine Indian Cuisine.
Whether you’re using the site’s super-fast Wi-Fi connection or getting that extra bit of help from the friendly administrative support staff, Innovation Centre pushes you to achieve more in business. The building itself is a partnership between the local government and a group of technology executives who joined forces to accelerate the tech industry in in Kelowna. They’ve created an incredible location, which is immediately connected to the wider area via a pair of convenient bus stops. What’s more, its central position places it next to some of the city’s most enticing venues, such as Kelowna Yacht Club, the tranquil Kasugai Gardens and Stuart Park. Alternatively, those in need of a bit of inspiration shouldn’t miss the Okanagan Military Museum and Okanagan Regional Library - Kelowna Branch – ideal places to top up your creativity.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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