Cloud Computing Training in Sofia

This instructor-led, live training in Sofia (online or onsite) is aimed at beginner-level data engineers who wish to use Azure Data Factory to implement scalable and efficient data integration solutions in the cloud.

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

• Understand the core concepts and architecture of Azure Data Factory (ADF).
• Learn to create, schedule, and monitor data pipelines.
• Integrate with various data sources, perform data transformation, and manage data flows.
• Implement best practices for error handling and performance optimization.
• Secure and monitor data pipelines for production environments.

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level IT professionals who wish to develop the skills required to deploy, manage, and operate workloads on Google Cloud and prepare for the Google Certified Associate Cloud Engineer certification.

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

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

This instructor-led live session, conducted online or on-site, targets intermediate-level data scientists and healthcare experts aiming to utilize AI for sophisticated healthcare applications through Google Colab.

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

• Develop healthcare-specific AI models using Google Colab.
• Leverage AI for predictive modeling in healthcare data.
• Analyze medical images using AI-driven techniques.
• Examine ethical issues inherent to AI-based healthcare solutions.

This instructor-led, live training in Sofia (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led training session in Sofia (offered online or onsite) is designed for beginner-level system administrators aiming to acquire the essential concepts and practical skills needed for the effective management and optimization of Nutanix environments.

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

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

This live, instructor-led training in Sofia (online or onsite) is designed for intermediate-level data professionals who want to apply time series forecasting techniques to real-world data using Google Colab.

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

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

This instructor-led, live training in Sofia (online or on-site) 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 equipped to:

• Grasp the fundamental services and infrastructure of GCP.
• Acquire skills in managing networks and virtual machines.
• Understand and implement general security best practices within GCP.
• Investigate Kubernetes and container management capabilities in GCP.
• Explore various storage options and learn how to configure them.
• Deploy and configure databases on GCP.

This instructor-led live training in Sofia (online or onsite) is designed for advanced professionals looking to deepen their grasp of reinforcement learning and its practical applications in AI development using Google Colab.

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

• Understand 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.

This live, instructor-led training in Sofia (online or onsite) is aimed at experienced professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab.

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

• Build and train convolutional neural networks (CNNs) using TensorFlow.
• Leverage Google Colab for scalable and efficient cloud-based model development.
• Implement image preprocessing techniques for computer vision tasks.
• Deploy computer vision models for real-world applications.
• Use transfer learning to enhance the performance of CNN models.
• Visualize and interpret the results of image classification models.

This instructor-led live training in Sofia (online or onsite) is designed for advanced professionals who wish 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 Sofia (online or onsite) is designed for intermediate-level data scientists and developers who want 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.

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

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

• Set up and navigate Google Colab for deep learning projects.
• Understand the fundamentals of neural networks.
• Implement deep learning models using TensorFlow.
• Train and evaluate deep learning models.
• Utilize advanced features of TensorFlow for deep learning.

This instructor-led, live training in Sofia (online or onsite) targets intermediate-level data engineers, cloud architects, and business intelligence professionals who wish to master data management in 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 Sofia (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 Sofia (online or onsite) targets intermediate-level cloud engineers and operations managers aiming to enhance their cloud infrastructure management via Kubiya AI.

Upon completion 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 Sofia (online or onsite) is designed for intermediate-level data scientists and developers who want to efficiently apply machine learning algorithms 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 Sofia (online or onsite) is designed for DevOps engineers, system administrators, and system architects ranging from beginner to advanced levels who aim to enhance their Terraform skills and proficiency in managing complex infrastructure deployments.

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

• Develop and maintain Terraform projects at scale.
• Demonstrate proficiency with HCL, including advanced expression language capabilities and best practices.
• Leverage various automation tools and processes to manage Terraform operations within continuous integration and delivery pipelines, incorporating testing and quality assurance methodologies.
• Function as subject matter experts for any existing or new Terraform project or module.

This instructor-led, live training in Sofia (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 Sofia (online or onsite) targets advanced 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 Sofia (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.

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

• Gain a solid understanding of the fundamental concepts of the Python programming language.
• Write and execute Python code effectively within the Google Colab environment.
• Apply control structures to manage the flow of execution in Python programs.
• Develop functions to organize code efficiently and promote reusability.
• Explore and utilize essential libraries to enhance Python programming capabilities.

This instructor-led live training, conducted in Sofia (either online or onsite), is aimed at integration developers and system administrators at intermediate to advanced levels who wish to acquire advanced Boomi skills 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 manage Boomi documents.
• Design and create complex integration processes tailored for advanced logic and data processing.
• Oversee the deployment of integration processes, including logging and reporting mechanisms.
• Identify, capture, and handle errors effectively.
• Implement best practices and proven techniques for Boomi integration.

This instructor-led, live training in Sofia (online or on-site) is designed for novice data scientists and IT professionals eager to grasp the fundamentals of data science utilizing Google Colab.

Upon completing this training, participants will be equipped to:

• Configure and navigate Google Colab.
• Write and run foundational Python code.
• Import and manage datasets.
• Generate visualizations using Python libraries.

This instructor-led, live training in Sofia (online or onsite) is designed for intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

This instructor-led, live training in Sofia (online or onsite) is aimed at developers, system administrators, and cloud enthusiasts who wish to gain practical knowledge of OpenNebula and use it for their cloud solutions.

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

• Set up a development environment that includes OpenNebula.
• Create and manage virtual machines in OpenNebula.
• Understand the lifecycle of a virtual machine.
• Integrate OpenNebula with existing infrastructure.
• Troubleshoot common issues in an OpenNebula environment.

This instructor-led, live training in Sofia (online or on-site) targets intermediate-level system administrators who wish to utilize 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 provides 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.

This instructor-led, live training in Sofia (onsite or remote) is designed for engineers who want to deploy and manage IoT devices on AWS.

Upon completion of this training, participants will be equipped to construct an IoT platform encompassing the deployment and management of a backend, gateway, and devices on the AWS infrastructure.

This instructor-led, live training in Sofia (onsite or remote) is designed for developers who want to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs, containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Sofia (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.

Upon completing this training, participants will be able to:

• Establish the required environment to begin developing integrations using Boomi.
• Grasp the features, architecture, and fundamental concepts of Boomi AtomSphere.
• Acquire the skills to design, build, and deploy integration processes using Boomi.
• Leverage Boomi's dashboard and reporting tools to monitor applications.
• Handle configurations and deployments for Atom, Molecule, and Atom Cloud.
• Facilitate web services and API integration and management via Boomi.

This intensive 7-day program offers a deep, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

Attendees will learn to architect scalable microservice ecosystems, refine container performance, and oversee production-grade workloads within Kubernetes. The curriculum addresses sophisticated deployment tactics, GitOps-driven automation, and observability frameworks to guarantee robust system reliability and efficiency.

A significant emphasis is placed on tackling real-world operational hurdles, such as incident handling, failure simulation, and root cause identification. The program culminates with the integration of AI-driven tools to enhance troubleshooting capabilities and expedite operational decision-making.

Upon completion, participants will possess a thorough understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes infrastructure.

This course is tailored to equip non-technical professionals—including managers, business analysts, QA testers, and operations staff—with a solid foundational knowledge of cloud computing. Learners will delve into the core concepts, advantages, and real-world applications of cloud technology, enabling them to make better-informed decisions and actively support cloud migration efforts. The curriculum focuses on clarifying cloud terminology, contrasting cloud solutions with on-premise infrastructure, explaining service models, and illustrating how cloud technology influences various organizational roles.

Upon completion of this course, participants will be capable of:

• Comprehending the essential definitions and terminology associated with cloud computing
• Identifying various cloud service models (IaaS, PaaS, SaaS)
• Distinguishing between cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Comparing on-premises infrastructure with cloud-based solutions
• Understanding cloud benefits such as scalability, agility, availability, and cost-efficiency
• Recognizing major cloud platforms (AWS, Azure, GCP) and their respective service offerings
• Grasping cloud responsibility frameworks, including the shared responsibility model and role-based access
• Understanding how cloud technology affects software testing, deployment, and monitoring processes
• Contributing effectively to cloud adoption and migration projects
• Appreciating fundamental cloud security, compliance, and governance principles

This 3-day training program is designed to provide participants with a solid foundation in cloud computing concepts, alongside hands-on experience with the leading cloud platforms: AWS, Microsoft Azure, and Google Cloud Platform (GCP). The course is structured in four sessions, each focusing on one of the major cloud platforms, with the initial session dedicated to general cloud computing principles. By the end of this course, participants will have a clear understanding of cloud computing fundamentals, practical knowledge of the architecture and services of each platform, and the skills to deploy and manage resources in real-world scenarios.

This instructor-led, live training in Sofia (online or onsite) is designed for IT architects and consultants aiming to implement best practices for 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 aligned with Cloud Security Alliance standards.
• Migrate legacy systems into the cloud leveraging the synergy between SOA and PaaS.
• Automate resource provisioning for on-demand, asynchronous cloud services.

This instructor-led live training in Sofia (online or onsite) is designed for cloud administrators, cloud architects, technology leaders, and financial analysts who want to record, manage, monitor, and process their organization's financial assets in the cloud.

By the conclusion of this training, participants will be capable of utilizing FinOps practices within an organization to predict costs, optimize processes, and carry out financial management operations in the cloud.

This instructor-led, live training in Sofia is designed for 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's AI/ML, infrastructure, security, and operations at a business level.
• Prepare for the certification exam through mock questions and structured review.

This instructor-led, live training in Sofia (online or onsite) is designed for intermediate-level IT professionals and technology decision-makers who want to leverage open-source platforms and 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.

This course serves as comprehensive training for OpenStack. It starts with an introduction to the system, proceeds through hands-on workshops to provide practical knowledge for managing private clouds based on OpenStack, and concludes with topics on troubleshooting and advanced architectural concepts. The primary goal is to familiarize learners with the OpenStack ecosystem and establish a strong foundation for further expansion and refinement of OpenStack clouds. The course covers all essential topics required to successfully complete the Certificate OpenStack Administrator exam.

This instructor-led, live training session (available online or onsite) targets system administrators and infrastructure engineers seeking to design, deploy, and manage private OpenStack cloud infrastructure for enterprise environments.

By the end of this training, participants will be able to understand OpenStack architecture, deploy private cloud infrastructure, manage compute and storage resources, implement security with Keystone, and apply enterprise best practices.

This instructor-led live training in Sofia (online or onsite) is designed for intermediate-level IT leaders, architects, and governance professionals. Participants will learn to apply sovereign cloud strategy principles to design governance models, select appropriate architectures, and prepare effective exit plans.

By the end of the course, attendees will be capable of defining sovereignty requirements, evaluating architectural options, establishing governance controls, and creating a practical exit roadmap.

This instructor-led, live training in Sofia (online or onsite) is designed for intermediate-level virtualization administrators who wish to utilize open-source platforms to migrate away from VMware.

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

• Install and configure KVM, oVirt, and Proxmox VE.
• Migrate virtual workloads from VMware.
• Implement high availability and disaster recovery.
• Optimize performance in open-source virtualization environments.