Zašto se zatići sa reaktivnim gašenjem požara kada veštačka inteligencija može pomoći vašim DevOps cevima da predviđaju, prilagođavaju i samostveno leče?[/p]
Ovi tečajevi sa predavačom istražuju kako veštačka inteligencija unapređuje svaku fazu DevOpsa – automatizacija izgradnje, optimizacija distribucije, detekcija anomalija i predviđanje incidenata pre nego što eskaliraju.
Obuka je dostupna kao uživi onlajn sesije putem interaktivne udaljene radne površi, ili na licu mesta u Belgrade, sa praktičnim vežbama usmerenim na stvarne CI/CD sisteme, monitore i cloud platforme.
Bez obzira da li modernizujete legacnu infrastrukturu ili gradite inteligentne distribuirane cevi od nule, užive sesije mogu se održati u vašim poslovnim prostorima u Belgrade ili u centrima za obuku NobleProg dizajniranim za timsku učenje.
Takođe poznat kao AI-Assisted DevOps, Intelligent DevOps ili AI-Enhanced CI/CD, ovaj set kurseva pomaže timovima da pripreme svoje cevi za budućnost i samopoverljivo pređu od automatizacije do autonomije.
NobleProg – Vaš lokalni provajder za obuku
Green Heart Complex
Bulevar Milutina Milankovića 11b, Belgrade 11070, Belgrade, Serbia
Strategically located at Bulevar Milutina Milankovića 11b in Belgrade, Serbia, the Green Heart Complex stands as a prominent landmark in one of the country's most dynamic areas. This prestigious address places the complex within close proximity to key government buildings, cultural institutions, embassies, and major shopping centers, making it an ideal location for business and administrative activities.
Its prime position on Bulevar Milutina Milankovića offers excellent accessibility and visibility, ensuring convenient connections to the heart of Belgrade's commercial and residential districts. The complex itself serves as a vital hub, providing modern facilities and services to support a diverse range of professional and commercial needs.
From this strategic base, occupants and visitors benefit from proximity to Belgrade's vibrant urban life, including dining, entertainment, and transportation options. The Green Heart Complex represents a significant asset in the city's ongoing development, contributing to the efficiency and functionality of Belgrade's central business district.
This live training in Belgrade empowers engineers to implement AI-driven models for feature flags and canary testing. Participants will learn to automate risk assessment, integrate intelligent scoring systems, and craft adaptive rollout strategies that utilize real-time data to enhance release reliability and decision-making processes.
This instructor-led training in Belgrade guides advanced professionals in integrating AI-driven incident detection and automated remediation into delivery pipelines. Participants will learn to monitor systems via anomaly detection, design recovery workflows, and construct intelligent feedback loops to ensure resilient CI/CD operations.
This instructor-led, live training in Belgrade 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 live, instructor-led course on Belgrade guides you in embedding AI-driven compliance controls into CI/CD pipelines. You will utilize intelligent automation to identify, uphold, and verify policy mandates, covering security and licensing standards, throughout the software delivery lifecycle.
Ova uživo obuka u Belgrade automatizuje gradnju i deploy-ovanje AI modela zasnovanih na Docker-u putem CI/CD-a. Pokriva pakovanje, testiranje, kontrolu verzija i strategije deploy-ovanja za MLOps. Učesnici stiču praktična znanja u kreiranju pipeline-ova i bezbednom upravljanju kontejnerima.
This live, instructor-led workshop in Belgrade empowers advanced professionals to automate test development and anticipate coverage gaps using machine learning. Learners will discover how to embed AI-driven test creation into CI/CD pipelines and refine strategies through predictive analytics.
Ova obuka uživo, koju vodi predavač, u Belgrade fokusira se na prediktivnu optimizaciju build procesa. Školi inženjere srednjeg nivoa kako da primene mašinsko učenje za brže i pouzdanije build pipelineove. učesnici će naučiti kako da predviđaju kvarove i implementiraju keširanje.
Develop the skills to construct a complete AIOps pipeline using open-source tools through this instructor-led training in Belgrade. Master observability, anomaly detection, and automated alerting by working with Prometheus, ELK, and custom ML models, acquiring practical expertise for real-world production scenarios.
Ovaj trening uživo, sa instruktom, u Belgrade pokriva QA automatizaciju pogonjenu veštačkom inteligencijom u CI/CD tokovima, pomažući QA i DevOps profesionalcima srednjeg nivoa da generišu pametne testne slučajeve, optimizuju pokrivenost regresije i integrišu inteligentne kontrolne tačke za kvalitet kako bi obezbedili skalabilnu i pouzdanu isporuku softvera.
This live session on Belgrade guides intermediate IT teams in integrating Splunk, Moogsoft, and Dynatrace for enterprise-grade AIOps. The curriculum addresses anomaly detection, alert correlation, and workflow automation to lower MTTR and enhance operational efficiency at scale.
This live, instructor-led session on Belgrade enables advanced engineers to master LLMs and multi-agent frameworks for enhanced DevOps automation. Learners will design secure workflows for test generation, alert triage, and CI/CD coordination using top-tier open-source tools.
This advanced AIOps training in Belgrade focuses on creating ML models for incident forecasting and streamlining root cause analysis. Learners will craft intelligent RCA workflows, integrate remediation procedures, and scale AIOps pipelines in production settings through hands-on lab exercises.
Ova obuka uživo, koju vodi instruktur u Belgrade, fokusirana je na integrisanje AI-ja u DevOps pipeline-ove. Učesnici će naučiti kako da ugrade alate za bezbednost pogonjene AI-jem, automatizuju detekciju tajni i omoguće proaktivno modelovanje pretnji, gradeći ključna veštine za bezbednu dostavu softvera.
This live Belgrade training enables intermediate professionals to gain mastery over AI-driven deployment orchestration and automated rollback methods. It addresses risk forecasting, intelligent rollout tactics, and observability to strengthen resilience and automate safety controls.
This live, instructor-led course in Belgrade empowers observability professionals to integrate AIOps by leveraging Prometheus, Grafana, and ML. Learners will configure observability stacks, utilize machine learning for anomaly detection and forecasting, and create intelligent alerting rules to drive automated operations.
This live, instructor-led training in Belgrade focuses on AI in DevOps, enabling you to embed intelligent automation into CI/CD pipelines. Learners will acquire the skills to apply AI for testing, code analysis, and predictive build optimization, thereby enhancing speed, accuracy, and overall quality.
This instructor-led session in Belgrade explores the fundamentals of AIOps for IT operations specialists. Participants will learn to correlate metrics and logs, diminish alert noise, and automate incident response. Through hands-on labs, you will develop the practical skills necessary for modern, intelligent observability stacks.
This live, instructor-led training in Belgrade (available online or on-site) is designed for observability and SRE engineers seeking to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.
This live, instructor-led training in Belgrade (delivered online or onsite) is designed for SRE and DevOps engineers aiming to design, build, and safely deploy AI agents for autonomous IT operations.
This instructor-led, live training in Belgrade (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 Belgrade (online or onsite) targets security and ML engineers who need to identify, test, and defend against attacks on ML models and LLM-powered applications.
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