Why limit your approach to reactive troubleshooting when AI can empower your DevOps pipelines to predict, adapt, and self-repair?
These instructor-led courses demonstrate how AI strengthens every stage of DevOps, including build automation, deployment optimization, anomaly detection, and incident forecasting to prevent escalations.
Training is accessible through online live sessions via interactive remote desktop or onsite in Plovdiv, featuring hands-on labs centered on real-world CI/CD systems, monitoring stacks, and cloud platforms.
Whether you are modernizing legacy infrastructure or creating intelligent delivery pipelines from the ground up, onsite sessions can take place at your facilities in Plovdiv or at a NobleProg training center optimized for team-based learning.
Also referred to as AI-Assisted DevOps, Intelligent DevOps, or AI-Enhanced CI/CD, this curriculum helps teams future-proof their pipelines and transition confidently from automation to autonomy.
NobleProg – Your Local Training Provider
Business Center Plovdiv
Han Kubrat St 1, Plovdiv, Bulgaria, 4017
This is the most modern business center in the city, with all the necessary functionalities, while being located in a green part of the city.
It is about 20 minutes by bus from the main train station as well as the city center.
This live training in Plovdiv empowers engineers to utilize AI-driven models for managing feature flags and canary testing. Participants will learn to automate risk evaluation, integrate intelligent scoring mechanisms, and devise adaptive rollout strategies that leverage real-time data to enhance release reliability and decision-making processes.
This instructor-led training in Plovdiv enables advanced professionals to integrate AI-driven incident detection and automated remediation into delivery pipelines. Participants will learn to leverage anomaly detection for monitoring, design robust recovery workflows, and construct intelligent feedback loops to enhance the resilience of CI/CD systems.
This live, instructor-guided training in Plovdiv explores the application of GitHub Copilot within DevOps automation. Learners will discover how to optimize essential tasks, such as managing YAML configurations and CI/CD pipelines, with the aid of AI. Through hands-on exercises, you will enhance your productivity and learn to apply Copilot responsibly in real-world operational settings.
This live, instructor-led training in Plovdiv guides you in embedding AI-driven compliance controls into CI/CD pipelines. You will utilize intelligent automation to detect, enforce, and validate policy requirements, covering security and licensing standards, throughout the software delivery lifecycle.
This live training in Plovdiv focuses on automating Docker-based AI model builds and deployments using CI/CD. It addresses packaging, testing, version control, and deployment strategies for MLOps. Participants will acquire practical skills in pipeline creation and secure container management.
This instructor-led workshop in Plovdiv empowers advanced professionals to automate test creation and forecast coverage gaps using machine learning. Participants will learn to integrate AI-driven test generation into CI/CD workflows and refine strategies based on predictive analytics.
This live, instructor-led training on Plovdiv centers on predictive build optimization. It guides intermediate engineers in applying machine learning to achieve faster and more dependable build pipelines. Participants will acquire the skills to forecast failures and establish intelligent caching mechanisms.
Master the construction of an end-to-end AIOps pipeline using open-source tools through this instructor-led training in Plovdiv. Explore observability, anomaly detection, and automated alerting with Prometheus, ELK, and custom ML models, acquiring practical skills tailored for real-world production scenarios.
This instructor-led, live training in Plovdiv focuses on AI-driven QA automation within CI/CD pipelines. It assists intermediate QA and DevOps professionals in generating intelligent test cases, optimizing regression coverage, and implementing smart quality gates to guarantee scalable and reliable software delivery.
This live training in Plovdiv guides intermediate IT teams through the integration of Splunk, Moogsoft, and Dynatrace for enterprise-scale AIOps. The curriculum addresses anomaly detection, alert correlation, and workflow automation to lower MTTR and boost operational efficiency.
This live instructor-led training in Plovdiv equips advanced engineers with the expertise to master LLMs and multi-agent frameworks for enhanced 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 Plovdiv focuses on constructing machine learning models for incident prediction and automating root cause analysis. Attendees will learn to design intelligent RCA workflows, integrate remediation processes, and scale AIOps pipelines in production settings through hands-on lab exercises.
This live, instructor-led course on Plovdiv centers on embedding AI into DevOps workflows. Learners will master the integration of AI-driven security tools, automate secrets detection, and implement proactive threat modeling to build robust secure software delivery capabilities.
This live training in Plovdiv empowers intermediate professionals to master AI-driven deployment orchestration and automated rollback methodologies. The curriculum addresses risk prediction, intelligent rollout strategies, and observability to strengthen system resilience and automate deployment safety mechanisms.
This instructor-led live training in Plovdiv empowers observability professionals to embed AIOps strategies by combining Prometheus, Grafana, and ML. Learners will configure robust observability stacks, deploy machine learning for anomaly detection and forecasting, and engineer intelligent alerting rules to drive automated operations.
This live, instructor-led training in Plovdiv focuses on AI for DevOps, guiding you in integrating intelligent automation into CI/CD pipelines. Participants will master the application of AI for testing, code analysis, and predictive build optimization, thereby enhancing speed, accuracy, and quality.
This instructor-led training on Plovdiv equips IT operations professionals with AIOps fundamentals. Participants will learn to correlate metrics and logs, reduce alert noise, and automate incident response. Through hands-on labs, you will develop practical skills for building modern, intelligent observability stacks.
This instructor-led live training in Plovdiv (online or onsite) is designed for observability and SRE engineers seeking to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.
This instructor-led live training, offered in Plovdiv (online or onsite), targets SRE and DevOps engineers seeking to design, construct, and securely deploy AI agents for autonomous IT operations.
This instructor-led, live training in Plovdiv (available online or onsite) is designed for ML engineers and platform teams who need to construct robust operational pipelines for LLM-powered applications at scale.
This instructor-led, live training in Plovdiv (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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