Računarstvo u oblaku Training in Belgrade

Ova obuka uživo, koju vodi instruktor, u Belgrade (online ili na licu mesta), namenjena je inženjerima podataka početničkog nivoa koji žele da koriste Azure Data Factory za implementaciju skalabilnih i efikasnih rešenja za integraciju podataka u oblaku.

Nakon završetka ove obuke, učesnici će moći da:

• Razumeju osnovne koncepte i arhitekturu Azure Data Factory (ADF).
• Uče da kreiraju, zakazuju i prate cevovode za podatke.
• Integrišu različite izvore podataka, vrše transformaciju podataka i upravljaju tokovima podataka.
• Primene najbolje prakse za rukovanje greškama i optimizaciju performansi.
• Obezbede i prate cevovode za podatke u produkcijskim okruženjima.

This instructor-led, live training held in Belgrade (available online or onsite) targets intermediate-level IT professionals who aim to acquire the skills needed to deploy, manage, and operate workloads on Google Cloud while preparing for the Google Certified Associate Cloud Engineer certification.

Upon completion of this training, participants will be able to:

• Establish and manage Google Cloud projects, resources, networking, and storage services.
• Deploy and administer applications utilizing Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and App Engine.
• Configure identity and access management, security controls, billing budgets, alerts, and cost monitoring mechanisms.
• Provision and automate cloud infrastructure using Terraform and Cloud Build.
• Monitor, troubleshoot, and optimize Google Cloud environments through Cloud Monitoring and Cloud Logging.
• Understand the capabilities of Vertex AI and Google Cloud AI services for common business and operational use cases.

This guided, live training in Belgrade (online or in-person) targets intermediate data scientists and medical professionals seeking to apply AI for advanced healthcare applications using Google Colab.

Upon completion of this training, participants will be able to:

• Deploy AI models for healthcare using Google Colab.
• Utilize AI to perform predictive modeling on healthcare datasets.
• Conduct medical image analysis through AI-driven methodologies.
• Investigating ethical implications associated with AI solutions in healthcare.

Ova obuka koju vodi instruktor, održavana uživo na Belgrade (online ili na lokaciji klijenta), namenjena je naučnicima i inženjerima podataka srednjeg nivoa znanja koji žele da iskoriste Google Colab i Apache Spark za obradu i analitiku big podataka.

Na kraju ove obuke, učesnici će moći da:

• Podese okruženje za big podatke koristeći Google Colab i Spark.
• Efikasno obrade i analiziraju velike skupove podataka pomoću Apache Spark-a.
• Vizualizuju big podatke u klijentelnom okruženju.
• Integriraju Apache Spark sa alatima baziranim na oblaku.

This instructor-led, live training in Belgrade (online or onsite) is tailored for beginner-level system administrators seeking to acquire the essential concepts and practical skills needed for the effective management and optimization of Nutanix environments.

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

• Comprehend the Nutanix Enterprise Cloud Platform and its components.
• Install, configure, and manage Nutanix Clusters.
• Acquire proficiency in administering the Acropolis Hypervisor (AHV).
• Execute advanced management tasks and troubleshooting procedures.
• Apply best practices for high availability, disaster recovery, and security.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner-level IT professionals who wish to manage and operate the Google Cloud Platform.

Upon completion of this training, participants will be able to:

• Grasp the core services and infrastructure of GCP.
• Learn to manage networks and virtual machines.
• Understand and implement general security best practices within GCP.
• Explore Kubernetes and container management in GCP.
• Familiarize themselves with storage options and their configuration.
• Deploy and configure databases on GCP.

This live, instructor-led training, available Belgrade (online or on-site), is tailored for advanced professionals seeking to deepen their expertise in reinforcement learning and its practical application in AI development using Google Colab.

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

• Grasp the core concepts of reinforcement learning algorithms.
• Implement reinforcement learning models using TensorFlow and OpenAI Gym.
• Develop intelligent agents that learn through trial and error.
• Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
• Train agents in simulated environments using OpenAI Gym.
• Deploy reinforcement learning models for real-world applications.

Ova obuka sa trenerom uživo na temu Belgrade (online ili na lokaciji) namenjena je stručnjacima naprednog nivoa koji žele da prodube razumevanje računarske vizije i istraže mogućnosti Tenzora u razvoju sofisticiranih vizuelnih modela pomoću Google Colab.

Nakon završetka ove obuke, učesnici će moći da:

• Izgrade i obuku konvolucione neuronske mreže (CNN) koristeći TensorFlow.
• Izveste Google Colab za skalabilni i efikasan razvoj modela u oblaku.
• Implementiraju tehnike preobrade slika za zadatke iz računarske vizije.
• Implementiraju modele računarske vizije za primenu u stvarnom svetu.
• Koriste učenje prenosa (transfer learning) za poboljšavanje performansi CNN modela.
• Vizuelizuju i tumače rezultate modela za klasifikaciju slika.

This instructor-led, live training in Belgrade (online or onsite) is designed for advanced professionals who want to deepen their knowledge of machine learning models, improve their hyperparameter tuning skills, and learn how to effectively deploy models using Google Colab.

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

• Implement advanced machine learning models using popular frameworks like Scikit-learn and TensorFlow.
• Optimize model performance through hyperparameter tuning.
• Deploy machine learning models in real-world applications using Google Colab.
• Collaborate and manage large-scale machine learning projects in Google Colab.

This instructor-led, live training in Belgrade (online or onsite) targets intermediate-level data scientists and developers who aim to apply NLP techniques using Python in Google Colab.

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

• Understand the core concepts of natural language processing.
• Preprocess and clean text data for NLP tasks.
• Perform sentiment analysis using NLTK and SpaCy libraries.
• Work with text data using Google Colab for scalable and collaborative development.

Ovaj vodja-led trening uživo u Belgrade (online ili uživo u učionici) namenjen je naučnicima za podatke i razvojima srednjeg nivoa znanja koji žele da razumeju i primenjuju tehnike dubokog učenja koristeći okruženje Google Colab.

Na kraju ovog treninga, učesnici će moći da:

• podesite i navigirate Google Colab-om za projekte dubokog učenja.
• razumeju temelje neuralnih mreža.
• implementiraju modele dubokog učenja koristeći TensorFlow.
• obuku i procene modele dubokog učenja.
• iskoriste napredne funkcionalnosti TensorFlow-a za duboko učenje.

This instructor-led, live training session (online or onsite) is targeted at intermediate-level data engineers, cloud architects, and business intelligence professionals who aim to master data management within industry-specific cloud environments.

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

• Understand the principles and components of data fabrics.
• Design and implement data integration and orchestration solutions.
• Ensure data quality and governance within industry cloud platforms.
• Utilize data fabrics to support industry-specific data analysis and decision-making.
• Stay current with emerging trends and technologies in cloud data management.

This instructor-led live training in Belgrade (online or onsite) is aimed at beginner-level IT professionals, business analysts, and project managers who wish to understand the fundamentals of cloud computing and its applications in various industries.

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

• Identify the key characteristics and benefits of cloud computing.
• Understand the differences between various cloud service and deployment models.
• Recognize the importance of industry-specific cloud solutions.
• Assess the security and compliance aspects of cloud platforms.
• Explore emerging trends and future directions in cloud technology.

This instructor-led, live training in Belgrade (online or onsite) targets intermediate-level cloud engineers and operations managers seeking to enhance their cloud infrastructure management using Kubiya AI.

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

• Integrate Kubiya AI into cloud infrastructure.
• Automate cloud resource provisioning and management.
• Optimize cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level data scientists and developers who wish to apply machine learning algorithms efficiently using the Google Colab environment.

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

• Set up and navigate Google Colab for machine learning projects.
• Understand and apply various machine learning algorithms.
• Use libraries like Scikit-learn to analyze and predict data.
• Implement supervised and unsupervised learning models.
• Optimize and evaluate machine learning models effectively.

This instructor-led, live training in Belgrade (online or onsite) is aimed at beginner-level data scientists who wish to learn how to create meaningful and visually appealing data visualizations.

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

• Set up and navigate Google Colab for data visualization.
• Create various types of plots using Matplotlib.
• Utilize Seaborn for advanced visualization techniques.
• Customize plots for better presentation and clarity.
• Interpret and present data effectively using visual tools.

This instructor-led, live training in Belgrade (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

• Set up and configure AWS Cloud9 for DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment processes using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner-level developers and data analysts who want to learn Python programming from scratch using Google Colab.

Upon completing this training, participants will be equipped to:

• Grasp the foundational concepts of the Python programming language.
• Write and execute Python code within the Google Colab environment.
• Apply control structures to effectively manage program execution flow.
• Develop functions to organize and reuse code efficiently.
• Discover and utilize fundamental Python libraries.

This instructor-led live training in Belgrade (online or onsite) is designed for intermediate to advanced integration developers and system administrators who aim to learn advanced Boomi techniques for constructing, managing, and deploying cloud-based solutions on integration platforms.

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

• Utilize AtomSphere and effectively work with Boomi documents.
• Design and create complex integration processes that support advanced logic and data processing.
• Manage integration process deployment, including logging and reporting mechanisms.
• Capture and resolve errors efficiently.
• Apply industry best practices and techniques for seamless Boomi integration.

This instructor-led live training in Belgrade (online or onsite) is aimed at beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

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

• Set up and navigate Google Colab.
• Write and execute basic Python code.
• Import and handle datasets.
• Create visualizations using Python libraries.

Ova obuka koju vodi instruktor u Belgrade (online ili uživo) namenjena je profesionalima srednjeg nivoa znanja koji žele da nauče kako efikasno graditi, implementirati i održavati serverless aplikacije na AWS Cloud9 i AWS Lambda.

Na kraju ove obuke, učesnici će moći da:

• razumeju osnove serverless arhitekture.
• postave AWS Cloud9 za razvoj serverless aplikacija.
• razvijaju, testiraju i implementiraju serverless aplikacije koristeći AWS Lambda.
• integrišu AWS Lambda sa drugim AWS uslugama, kao što su API Gateway i S3.
• optimizuju serverless aplikacije za performanse i efikasnost troškova.

Ova obuka sa predavačem uživo u lokaciji < (online ili na licu mesta) namenjena je developerima, sistemskim administratorima i entuzijastima za cloud tehnologije koji žele da steknu praktična znanja o OpenNebuli i primene ih u svojim cloud rešenjima.

Kroz ovu obuku, učesnici će moći da:

• Podesu razvojno okruženje koje uključuje OpenNebulu.
• Kreiraju i upravlja virtuelnim mašinama u OpenNebuli.
• Razumeju životni ciklus virtuelne mašine.
• Integriraju OpenNebulu sa postojećom infrastrukturom.
• Rešavaju uobičajene probleme u OpenNebula okruženju.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level system administrators who wish to use VMware vCenter to manage complex virtual environments.

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

• Understand the architecture and components of VMware vSphere and vCenter Server.
• Install, configure, and manage VMware ESXi and vCenter Server.
• Implement advanced networking and storage configurations.
• Create, manage, and migrate virtual machines.
• Ensure high availability and disaster recovery in a virtualized environment.
• Automate vSphere tasks and manage lifecycle and upgrades.
• Troubleshoot common issues and apply best practices.

This intensive OpenStack training delivers practical, hands-on experience in deploying, managing, troubleshooting, and optimizing private cloud environments based on OpenStack. Designed as an extended bootcamp, the course covers core administration topics, real-world troubleshooting scenarios, and advanced architectural concepts aligned with the Certified OpenStack Administrator exam objectives. With 75% workshop-based learning in a live OpenStack lab, participants build the skills needed to confidently administer and further develop enterprise OpenStack infrastructures.

Ova obuka sa instruktivom, uživo <lokalno> (na lokaciji ili daljinsko), namenjena je inženjerima koji žele da uspostave i upravljaju IoT uređajima na AWS platformi.

Na kraju ove obuke, učesnici će biti sposobni da izgrade IoT platformu koja obuhvata postavljanje i upravljanje backendom, gateway-em i uređajima na AWS-u.

Ova obuka sa instruktom uživo u Belgrade (na licu mesta ili na daljinu) namenjena je programerima koji žele da koriste AWS Lambda za izgradnju i postavljanje servisa i aplikacija u oblaku, bez brige oko opremanja okruženja za izvršavanje (serveri, VM i kontejneri, dostupnost, skalabilnost, skladištenje itd.).

Na kraju ove obuke, učesnici će biti u stanju da:

• Konfigurisaju AWS Lambda za izvršavanje funkcije.
• Razumeju koncept FaaS (Functions as a Service) i prednosti serverless razvoja.
• Izgrade, učitaju i izvršavaju AWS Lambda funkcije.
• Integrišu Lambda funkcije sa različitim izvorima događaja.
• Učlanju, postave, prate i rešavaju probleme u aplikacijama zasnovanim na Lambda.

This live, instructor-led training in Belgrade (available online or onsite) is designed for integration developers, system administrators, and system integrators who wish to use Boomi to build, manage, and deploy integration platforms for cloud-based solutions.

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

• Set up the necessary environment to start building integrations with Boomi.
• Understand Boomi AtomSphere's features, architecture, and core concepts.
• Learn how to design, build, and deploy integration processes with Boomi.
• Use Boomi's dashboard and reporting options to monitor applications.
• Manage configurations and deployments for Atom, Molecule, and Atom Cloud.
• Enable web services and API integration and management with Boomi.

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

This course aims to equip non-technical professionals—including managers, business analysts, QA testers, and operations staff—with a solid grounding in cloud computing. Participants will delve into the core principles, advantages, and real-world applications of cloud technology to support better decision-making and actively contribute to cloud migration efforts. The focus will be on clearing up cloud terminology, contrasting cloud solutions with on-premise systems, exploring service models, and understanding how cloud adoption affects different roles across an organization.

Upon completing this course, participants will be able to:

• Grasp the essential definitions and terminology used in cloud computing
• Recognize various cloud service models (IaaS, PaaS, SaaS)
• Distinction between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Compare infrastructure approaches: on-premises versus cloud-based
• Appreciate cloud advantages such as scalability, agility, availability, and cost-effectiveness
• Identify leading cloud platforms (AWS, Azure, GCP) and their specific offerings
• Understand cloud responsibility frameworks, including the shared responsibility model and role-based access
• Comprehend how cloud computing influences software testing, deployment, and monitoring processes
• Engage effectively in cloud adoption and migration projects
• Understand fundamental cloud security, compliance, and governance concepts

This three-day workshop is crafted to equip attendees with a robust understanding of cloud computing principles, complemented by practical experience on top cloud providers: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The curriculum is divided into four modules, each targeting a specific major platform, starting with the first session on foundational cloud concepts. Upon completion, participants will grasp the core tenets of cloud computing, gain actionable insights into the architecture and services of each platform, and develop the ability to deploy and manage resources in real-world contexts.

This instructor-led, live training in Belgrade (online or onsite) is designed for IT architects and consultants aiming to adopt best practices in cloud infrastructure and services.

Upon completion of this training, participants will be able to:

• Utilize cloud infrastructure and services for business implementation.
• Implement advanced cloud security compliant with Cloud Security Alliance standards.
• Migrate legacy systems into the cloud by leveraging the synergy between SOA and PaaS.
• Automate the on-demand provisioning of resources for asynchronous cloud services.

Establish a solid foundation in designing and managing resilient edge computing infrastructure. Gain insights into open hybrid cloud setups, workload management across various clouds, and strategies for ensuring flexibility and redundancy. This training equips learners with the essential knowledge needed to build scalable, secure infrastructure capable of supporting the dynamic demands of modern applications through edge computing.

This instructor-led live training in Belgrade (online or onsite) is aimed at cloud administrators, cloud architects, technology heads, and financial analysts who wish to record, manage, monitor, and process financial assets of an organization in the cloud.

By the end of this training, participants will be able to use FinOps practices in an organization to forecast costs, optimize processes, and perform financial management operations in the cloud.

This instructor-led, live training in Belgrade targets beginner-level business professionals seeking to prepare for the Google Cloud Digital Leader certification.

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

• Explain how Google Cloud drives digital and data transformation.
• Describe Google Cloud AI/ML, infrastructure, security, and operations at a business level.
• Prepare for the certification exam with mock questions and structured review.

OpenTelemetry is an open-source framework comprising APIs, SDKs, and tools designed for instrumenting, generating, collecting, and exporting telemetry data—including metrics, logs, and traces—to help analyze application performance and health. It provides a unified, vendor-neutral approach to system observability.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level IT professionals and technology decision-makers who wish to use open-source platforms and open standards to design portable, resilient, and sovereign software environments.

By the end of this training, participants will be able to: explain digital sovereignty concepts, assess portability risks, evaluate Kubernetes and open-source platform options, and define practical adoption steps.

The course is a comprehensive training on OpenStack. It starts with an introduction to the
system, then through hands-on workshops it provides practical knowledge on managing private
clouds based on OpenStack, and finally covers troubleshooting and advanced, architectural topics. The goal of this course is to familiarize participants with the OpenStack ecosystem as well as to
provide a strong background for further expansion and refinement of OpenStack clouds.
The course comprises all topics necessary to accomplish the Certificate OpenStack
Administrator exam.

Ova obuka sa predavačem uživo (online ili na lokaciji) namenjena je sistem administratorima i inženjerima infrastrukture koji žele da projektuju, implementiraju i upravljaju privatnom OpenStack infrastrukturom oblaka u preduzećima.

Na kraju ove obuke, učesnici će biti u mogućnosti da razumeju OpenStack arhitekturu, implementiraju privatnu infrastrukturu oblaka, upravljaju resursima za izračunavanje i skladištenje, implementiraju bezbednost pomoću Keystonea i primenjuju najbolje prakse za preduzeća.

This instructor-led live training in Belgrade (online or onsite) is designed for intermediate-level IT leaders, architects, and governance professionals who wish to leverage sovereign cloud strategy principles to design governance models, select suitable cloud architectures, and prepare realistic cloud exit plans.

By the end of this training, participants will be able to: define sovereignty requirements, evaluate architecture options, establish governance controls, and build a practical exit roadmap.

This live, instructor-led training in Belgrade (offered online or on-site) targets intermediate-level virtualization administrators aiming to replace VMware with open-source platforms.

Upon completion, participants will be equipped to:

• Install and configure KVM, oVirt, and Proxmox VE.
• Transition virtual workloads from VMware environments.
• Deploy high availability and disaster recovery mechanisms.
• Optimize performance within open-source virtualization landscapes.