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 Helsinki, 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 Helsinki 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.
This live training in Helsinki equips engineers to apply AI-driven models for feature flags and canary testing. Learn to automate risk assessment, integrate intelligent scoring, and design adaptive rollout strategies that leverage real-time data to improve release reliability and decision-making.
This instructor-led training in Helsinki teaches advanced professionals to integrate AI-driven incident detection and automated remediation into delivery pipelines. Learn to monitor with anomaly detection, design recovery workflows, and build intelligent feedback loops for resilient CI/CD systems.
This instructor-led, live training in Helsinki introduces GitHub Copilot for DevOps automation. Participants will learn to streamline tasks like YAML configurations and CI/CD pipelines using AI. Hands-on exercises help you boost productivity and apply Copilot responsibly in real-world workflows.
This instructor-led live training in Helsinki teaches you to integrate AI-driven compliance controls into CI/CD pipelines. You will apply intelligent automation to detect, enforce, and validate policy requirements, including security and licensing standards, across the software delivery lifecycle.
This live training in Helsinki automates Docker-based AI model builds and deployments via CI/CD. It covers packaging, testing, version control, and deployment strategies for MLOps. Participants gain practical skills in pipeline creation and secure container management.
This instructor-led workshop in Helsinki teaches advanced professionals to automate test creation and predict coverage gaps using machine learning. Participants will learn to integrate AI-driven test generation into CI/CD workflows and optimize strategies based on predictive analytics.
This instructor-led live training in Helsinki focuses on predictive build optimization. It teaches intermediate engineers how to apply machine learning for faster, more reliable build pipelines. Participants will learn to predict failures and implement caching.
Learn to build an end-to-end AIOps pipeline using open-source tools in this instructor-led training in Helsinki. Cover observability, anomaly detection, and automated alerting with Prometheus, ELK, and custom ML models, gaining hands-on skills for real-world production environments.
This instructor-led, live training in Helsinki covers AI-powered QA automation in CI/CD pipelines, helping intermediate QA and DevOps professionals generate smart test cases, optimize regression coverage, and integrate intelligent quality gates to ensure scalable and reliable software delivery.
This live training in Helsinki teaches intermediate IT teams how to integrate Splunk, Moogsoft, and Dynatrace for enterprise-level AIOps. It covers anomaly detection, alert correlation, and workflow automation to reduce MTTR and improve operational efficiency at scale.
This live instructor-led training in Helsinki empowers advanced engineers to master LLMs and multi-agent frameworks for smarter DevOps automation. Participants will learn to design secure workflows for test generation, alert triage, and CI/CD coordination using leading open-source tools.
This advanced AIOps training in Helsinki covers building ML models for incident prediction and automating root cause analysis. Participants will design intelligent RCA workflows, integrate remediation processes, and scale AIOps pipelines in production environments using hands-on lab exercises.
This instructor-led, live training in Helsinki focuses on integrating AI into DevOps pipelines. Participants will learn to embed AI-driven security tools, automate secrets detection, and enable proactive threat modeling, building essential skills for secure software delivery.
This live training in Helsinki helps intermediate professionals master AI-driven deployment orchestration and automated rollback techniques. It covers risk prediction, intelligent rollout strategies, and observability to enhance resilience and automate deployment safety controls.
This instructor-led live training in Helsinki helps observability professionals integrate AIOps using Prometheus, Grafana, and ML. Participants configure observability stacks, apply machine learning for anomaly detection and forecasting, and build intelligent alerting rules for automated operations.
This instructor-led, live training in Helsinki covers AI for DevOps, helping you integrate intelligent automation into CI/CD pipelines. Participants will learn to apply AI for testing, code analysis, and predictive build optimization, improving speed, accuracy, and quality.
This instructor-led training in Helsinki covers AIOps fundamentals for IT operations professionals. Learn to correlate metrics and logs, reduce alert noise, and automate incident response. Hands-on labs build practical skills for modern, intelligent observability stacks.
This instructor-led, live training in Helsinki (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 instructor-led, live training in Helsinki (online or onsite) is aimed at SRE and DevOps engineers who want to design, build, and safely deploy AI agents for autonomous IT operations.
This instructor-led, live training in Helsinki (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 Helsinki (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.
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