Cloud Computing Training in Berlin

This live, instructor-led training, available in Berlin via online or onsite formats, is designed for beginner-level data engineers looking to leverage Azure Data Factory for building scalable and efficient cloud-based data integration solutions.

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

• Comprehend the essential concepts and architectural framework of Azure Data Factory (ADF).
• Construct, schedule, and supervise data pipelines.
• Integrate diverse data sources, execute transformations, and manage data flows.
• Adopt best practices for error handling and performance optimization.
• Secure and monitor data pipelines to ensure reliability in production environments.

This instructor-led, live training, available in Berlin either online or onsite, targets intermediate-level IT professionals seeking to build the skills necessary 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 equipped to:

• Establish and oversee Google Cloud projects, resources, networking, and storage services.
• Deploy and administer applications through Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, and App Engine.
• Set up identity and access management, security controls, and billing budgets, alerts, and cost monitoring.
• Provision and automate cloud infrastructure leveraging Terraform and Cloud Build.
• Monitor, diagnose, and enhance Google Cloud environments using Cloud Monitoring and Cloud Logging.
• Comprehend the capabilities of Vertex AI and Google Cloud AI services for typical business and operational scenarios.

This live, instructor-led training, offered in Berlin (either online or onsite), is tailored for intermediate data scientists and healthcare professionals seeking to apply AI for advanced healthcare applications using Google Colab.

By the conclusion of this program, learners will be equipped to:

• Deploy AI models tailored for healthcare applications via Google Colab.
• Leverage AI techniques for predictive modeling within healthcare datasets.
• Utilize AI-driven methodologies for the analysis of medical images.
• Examine the ethical implications surrounding AI-based solutions in healthcare.

This instructor-led, live training in Berlin (online or onsite) targets intermediate-level data scientists and engineers aiming to utilize Google Colab and Apache Spark for big data processing and analytics.

By the conclusion of this training, participants will be capable of:

• Establishing a big data environment with Google Colab and Spark.
• Processing and analyzing large datasets effectively using Apache Spark.
• Visualizing big data in a collaborative setting.
• Connecting Apache Spark with cloud-based utilities.

This instructor-led, live training program (delivered online or onsite) is designed for entry-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:

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

This live, instructor-led training delivered in Berlin (either online or on-site) is designed for intermediate-level data professionals seeking to apply time series forecasting techniques to real-world data using Google Colab.

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

• Comprehend the basics of time series analysis.
• Utilize Google Colab for handling time series data.
• Use ARIMA models to predict data trends.
• Apply Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting outcomes.

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

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

• Understand the core services and infrastructure of GCP.
• Learn how to manage networks and virtual machines.
• Understand and apply general security best practices in GCP.
• Explore Kubernetes and container management in GCP.
• Learn about storage options and how to configure them.
• Deploy and configure databases on GCP.

This live, instructor-guided training session, held in Berlin (either online or on-site), is designed for experienced professionals aiming to broaden their proficiency in reinforcement learning and its direct application to AI development using Google Colab.

By the conclusion of this program, participants will be positioned to:

• Comprehend the fundamental mechanics of reinforcement learning algorithms.
• Construct and implement reinforcement learning architectures using TensorFlow and OpenAI Gym.
• Create intelligent agents that evolve their strategies through iterative testing.
• Maximize agent performance by employing advanced methodologies like Q-learning and deep Q-networks (DQNs).
• Conduct agent training within simulated contexts utilizing OpenAI Gym.
• Implement reinforcement learning solutions for practical, real-world use cases.

This instructor-led, live training in Berlin (online or onsite) is aimed at advanced-level 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 live, instructor-led training in Berlin (online or on-site) is tailored for advanced professionals looking to expand their knowledge of machine learning models, sharpen their hyperparameter tuning skills, and learn to deploy models efficiently using Google Colab.

By the conclusion of this training, participants will be capable of:

• Building advanced machine learning models using leading frameworks like Scikit-learn and TensorFlow.
• Improving model performance through hyperparameter tuning.
• Deploying machine learning models in real-world applications via Google Colab.
• Collaborating on and managing large-scale machine learning projects in Google Colab.

This live, instructor-led training Berlin (online or onsite) is designed for intermediate-level data scientists and developers seeking to apply NLP techniques using Python in Google Colab.

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

• Comprehend the core principles of natural language processing.
• Preprocess and sanitize text data for NLP workflows.
• Apply sentiment analysis using the NLTK and SpaCy libraries.
• Utilize Google Colab for handling text data in scalable and collaborative settings.

This instructor-led live training conducted in Berlin (either online or on-site) is designed for intermediate-level data scientists and developers seeking to master deep learning techniques within the Google Colab environment.

By the conclusion of this program, participants will have the ability to:

• Establish and navigate Google Colab for deep learning projects.
• Comprehend the fundamental mechanics of neural networks.
• Build deep learning models utilizing TensorFlow.
• Train and assess deep learning model performance.
• Apply advanced TensorFlow features to deep learning workflows.

Offered as a live, instructor-led session in Berlin (either online or onsite), this course is designed for intermediate-level data engineers, cloud architects, and business intelligence professionals aiming to master data administration within industry-specific cloud landscapes.

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

• Understand the core principles and constituent elements of data fabrics.
• Design and execute effective data integration and orchestration solutions.
• Uphold data quality and governance standards within industry cloud platforms.
• Apply data fabrics to facilitate industry-specific data analysis and strategic decision-making.
• Stay ahead of emerging trends and technologies in the field of cloud data management.

This live, instructor-led session in Berlin (online or on-site) is designed for entry-level IT professionals, business analysts, and project managers looking to grasp the essentials of cloud computing and its relevance across different industries.

By the conclusion of this program, participants will be equipped to:

• Pinpoint the primary characteristics and benefits of cloud computing.
• Comprehend the distinctions among different cloud service and deployment models.
• Acknowledge the significance of cloud solutions tailored to specific industries.
• Analyze the security and compliance dimensions of cloud platforms.
• Explore novel trends and upcoming directions in cloud technology.

This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to improve their cloud infrastructure management using Kubiya AI.

By the end 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 Berlin (delivered online or onsite) is designed for intermediate data scientists and developers seeking to efficiently apply machine learning algorithms within the Google Colab environment.

Upon completing this training, participants will have the capability 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 live, instructor-led training conducted in Berlin (online or onsite) is designed for beginner data scientists seeking to master the creation of significant and visually compelling data visualizations.

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

• Configure and operate Google Colab for visualization tasks.
• Generate a variety of plot types using Matplotlib.
• Apply Seaborn to execute advanced visualization methods.
• Adjust plot designs to enhance presentation quality and clarity.
• Analyze and communicate data insights effectively through visual tools.

This instructor-led, live training in Berlin (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, delivered in Berlin (either online or onsite), is specifically designed for junior developers and data analysts looking to acquire Python programming skills from the basics using Google Colab.

By the conclusion of this course, learners will be equipped to:

• Comprehend the essential concepts of Python.
• Deploy Python code within the Google Colab platform.
• Leverage control structures to govern program logic.
• Construct functions for efficient code management and reusability.
• Utilize core libraries for standard Python tasks.

This instructor-led, live training, delivered in Berlin (either online or on-site), is designed for integration developers and system administrators with intermediate to advanced proficiency who seek to acquire advanced Boomi techniques for the construction, administration, and rollout of cloud-based solutions on integration platforms.

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

• Operate within AtomSphere and proficiently work with Boomi documents.
• Architect and create complex integration processes suited for advanced logic and data processing.
• Supervise the deployment of integration processes, including the management of logging and reporting.
• Effectively capture and resolve errors.
• Apply recognized best practices and techniques to optimize Boomi integration.

This instructor-led live training, held at Berlin (either online or in person), is tailored for entry-level data scientists and IT professionals seeking to grasp the essentials of data science via Google Colab.

By the conclusion of this program, participants will possess the ability to:

• Establish and manage their workflow in Google Colab.
• Create and run basic Python code.
• Integrate and manage datasets.
• Develop visualizations using Python libraries.

This instructor-led, live training in Berlin (online or on-site) targets intermediate-level professionals aiming to proficiently build, deploy, and sustain serverless applications on AWS Cloud9 and AWS Lambda.

By the end of this session, participants will possess the capability to:

• Comprehend the basics of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Build, test, and release serverless applications using AWS Lambda.
• Combine AWS Lambda with other AWS services, such as API Gateway and S3.
• Enhance serverless applications for superior performance and cost efficiency.

This instructor-led, live session conducted in Berlin (either online or onsite) is designed for developers, system administrators, and cloud enthusiasts seeking to acquire practical OpenNebula skills for their cloud initiatives.

Once concluded, participants will possess the capability to:

• Configure a development environment that incorporates OpenNebula.
• Build and oversee virtual machines using OpenNebula.
• Grasp the operational lifecycle of virtual machines.
• Merge OpenNebula with current infrastructure systems.
• Address and fix standard problems in OpenNebula deployments.

This live, instructor-led training in Berlin (online or onsite) is tailored for intermediate-level system administrators who aim to utilize VMware vCenter to manage complex virtual environments.

Upon completion of this program, participants will be equipped to:

• Grasp the architecture and core components of VMware vSphere and vCenter Server.
• Execute the installation, configuration, and management of VMware ESXi and vCenter Server.
• Deploy advanced networking and storage configurations.
• Provision, administer, and migrate virtual machines.
• Guarantee high availability and disaster recovery capabilities in virtualized settings.
• Automate vSphere tasks and oversee lifecycle management and upgrades.
• Diagnose common issues and implement industry 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% of the learning conducted through workshops in a live OpenStack lab, participants build the skills needed to confidently administer and further develop enterprise OpenStack infrastructures.

This instructor-led, live training offered in Berlin (onsite or remote) is tailored for engineers looking to deploy and manage IoT devices on AWS.

By the conclusion of this session, participants will be equipped to build an IoT platform that encompasses the deployment and management of backends, gateways, and devices on AWS.

This live, instructor-led training in Berlin, offered onsite or remotely, targets developers seeking to utilize AWS Lambda for creating and deploying cloud services and applications. It removes the burden of managing the underlying execution infrastructure, such as servers, VMs, containers, availability, scalability, and storage.

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

• Configure AWS Lambda to execute functions.
• Understand FaaS (Functions as a Service) and the benefits of serverless development.
• Build, upload, and run AWS Lambda functions.
• Connect Lambda functions to diverse event sources.
• Package, deploy, monitor, and resolve issues in Lambda-based applications.

This instructor-led live training in Berlin (online or onsite) targets integration developers, system administrators, and system integrators seeking to use Boomi to construct, manage, and deploy integration platforms for cloud-based solutions.

Upon completing this training, participants will be equipped to:

• Establish the requisite environment for initiating integration development with Boomi.
• Comprehend the features, architecture, and core concepts of Boomi AtomSphere.
• Acquire the skills to design, build, and deploy integration processes using Boomi.
• Leverage Boomi’s dashboard and reporting tools to oversee application performance.
• Oversee configurations and deployments for Atom, Molecule, and Atom Cloud.
• Activate web services and manage API integration through Boomi.

This intensive 7-day program offers an in-depth, practical exploration of cloud-native application lifecycle management, leveraging contemporary DevOps methodologies.

Trainees will delve into constructing scalable microservice architectures, refining container ecosystems, and overseeing production workloads within Kubernetes. The curriculum addresses sophisticated release mechanisms, GitOps-driven automation, and observability standards to guarantee system stability and high performance.

Considerable emphasis is placed on resolving practical operational hurdles, such as incident management, chaos engineering, and diagnostic root cause identification. The program culminates in leveraging AI-driven utilities to enhance troubleshooting processes and expedite operational decision-making.

Upon completion, participants will possess a robust comprehension of constructing, releasing, monitoring, and sustaining resilient distributed systems within a Kubernetes-centric landscape.

This course aims to equip non-technical professionals, such as managers, business analysts, QA testers, and operations personnel, with a fundamental grasp of cloud computing. Participants will examine core principles, benefits, and practical uses of the cloud to make well-informed decisions and support cloud migration efforts effectively. Key attention is given to clarifying cloud terminology, comparing cloud versus on-premise setups, understanding service models, and identifying the cloud's impact on various organizational roles.

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

• Grasping the primary definitions and terminology associated with cloud computing
• Distinguishing between various cloud service models (IaaS, PaaS, SaaS)
• Differentiating cloud deployment models (Public, Private, Hybrid, Multi-Cloud)
• Evaluating on-premises versus cloud-based infrastructure
• Understanding cloud benefits, including scalability, agility, availability, and cost-effectiveness
• Identifying leading cloud platforms (AWS, Azure, GCP) and their respective service portfolios
• Comprehending cloud responsibilities, specifically the shared responsibility model and role-based access
• Understanding the influence of cloud computing on software testing, deployment, and monitoring
• Contributing effectively to cloud adoption and migration initiatives
• Understanding the fundamentals of cloud security, compliance, and governance

This three-day training course is designed to equip participants with a robust understanding of cloud computing principles, complemented by practical experience across the top cloud providers: AWS, Microsoft Azure, and Google Cloud Platform (GCP). Organized into four distinct sessions, the curriculum addresses each major cloud platform individually, beginning with a comprehensive overview of general cloud computing principles. Upon completion, participants will possess a comprehensive grasp of cloud fundamentals, practical expertise in the architectural frameworks and services of each platform, and the necessary skills to deploy and manage resources effectively in real-world environments.

This instructor-led, live training in Berlin (online or onsite) targets IT architects and IT consultants seeking to apply best practices in cloud infrastructure and services.

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

• Utilize cloud infrastructure and services to support business implementations.
• Apply advanced cloud security measures aligned with Cloud Security Alliance standards.
• Migrate legacy systems to the cloud by leveraging the synergy of SOA and PaaS.
• Automate on-demand resource provisioning for asynchronous cloud services.

Establish a solid base in the design and administration of resilient edge computing infrastructure. Delve into open hybrid cloud architectures, managing workloads across varied cloud platforms, and securing flexibility and redundancy. This program delivers the critical knowledge needed to construct scalable, secure infrastructure that addresses the dynamic requirements of modern applications through edge computing.

This instructor-led, live training in Berlin (online or onsite) is tailored for cloud administrators, cloud architects, technology leaders, and financial analysts aiming to manage, monitor, and process organizational financial assets in the cloud.

By the end of the course, participants will be able to implement FinOps practices to forecast expenses, optimize workflows, and conduct financial management operations effectively in cloud settings.

This live, instructor-led program delivered in Berlin is designed for business professionals at the foundational stage who are aiming to succeed in the Google Cloud Digital Leader certification.

Upon completion, participants will be equipped to:

• Articulate the role of Google Cloud in driving digital and data-driven transformation.
• Interpret Google Cloud’s AI/ML, infrastructure, security, and operational capabilities from a business perspective.
• Readily prepare for the certification examination through targeted mock questions and systematic review sessions.

This instructor-led, live training in Berlin (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.

This training provides a thorough examination of OpenStack. It commences with an introductory overview of the system, progressing into hands-on workshops that impart practical skills for managing private clouds built on this infrastructure. The curriculum culminates in advanced architectural concepts and troubleshooting strategies. The primary objective is to ensure participants gain a deep understanding of the OpenStack ecosystem while building a robust foundation for further development and refinement of their cloud environments. This course encompasses all essential topics required to successfully pass the Certificate OpenStack Administrator exam.

Conducted by live instructors in an online or on-site format, this training is tailored for system administrators and infrastructure engineers aiming to design, deploy, and manage private OpenStack cloud infrastructure for enterprise applications.

By the conclusion of the course, participants will be equipped to comprehend OpenStack architecture, roll out private cloud infrastructure, manage compute and storage resources, establish security frameworks with Keystone, and adopt enterprise best practices.

This instructor-led, live training in Berlin (online or onsite) is designed for intermediate-level IT leaders, architects, and governance professionals who want to apply sovereign cloud strategy principles to build governance models, select appropriate cloud architectures, and formulate realistic cloud exit plans.

By the end of the session, participants will be able to: define sovereignty requirements, assess architecture options, establish governance controls, and construct a practical exit roadmap.

This instructor-led, live training in Berlin (delivered online or onsite) is tailored for intermediate-level virtualization administrators looking to leverage open-source platforms to migrate their infrastructure away from VMware.

By the conclusion of this training, participants will be capable of:

• Installing and configuring KVM, oVirt, and Proxmox VE.
• Migrating virtual workloads previously hosted on VMware.
• Implementing high availability and disaster recovery mechanisms.
• Optimizing performance within open-source virtualization environments.