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Experience a whole new way to learn. With more than 10 certifiable courses enough to upscale your professional career. Learn Infrastructure Training today. #data center #Data center training #DCT #datacomms #datacomms training Formazione sui centri dati WHY DCT DIGITAL SKILLS? In a smart city, digital skills are vital, just like roads and bridges. Smart infrastructure ensures efficient and accessible services for tenants, incorporating advanced systems like fiber, wireless solutions, security, and unified communications. Focusing on these skills fosters a seamless, living environment. In today's fast-paced digital world possessing strong digital skills is essential for both personal and professional success. These skills encompass a range of, including proficiency in using technology, understanding online communication, and navigating various digital platforms. As industries continue to evolve, enhancing your literacy can open up new, allowing you to adapt to changing job markets and stay connected with others. Embracing digital skills not only boosts your employability but also empowers you to engage more effectively in our increasingly interconnected society. Why train? 1. Strong digital skills are crucial for personal and professional success in today's fast-paced digital world. 2. Proficiency in technology and online communication enhances your ability to navigate various digital platforms effectively. 3. Upgrading your digital literacy opens up new opportunities, allowing you to adapt to changing job markets. 4. Embracing digital skills boosts your employability and empowers you to engage more effectively in our interconnected society. DCT DevOps Enablement for IT Administrators This 4-day instructor-led course is designed for IT administrators and infrastructure professionals who want to understand and support DevOps practices in their organizations. Without requiring deep coding or engineering skills, the course provides a practical overview of DevOps principles, automation strategies, modern toolchains, and cloud-native operations. Participants will explore how to align infrastructure with DevOps workflows, evaluate tools like Jenkins, Terraform, Docker, and Kubernetes, and understand how to support secure, scalable, and observable systems. Through demos, case studies, and guided discussions, attendees will gain the confidence to collaborate with DevOps teams, contribute to automation initiatives, and modernize IT operations. Read More Duration 4 Days DOWNLOAD DCT Artificial Intelligence Associate This 3-day hands-on workshop introduces participants to the foundational concepts of cloud computing — including cloud models, deployment architectures, and essential services. Learners will explore real-world use cases, perform guided labs using open-source or free-tier tools, and build confidence in navigating cloud environments. Read More Duration 3 Days DOWNLOAD DCT Data Science Associate The Data Science Associate course is a practical, hands-on course designed to introduce participants to the fundamentals of data science, from data collection and cleaning to analysis, visualization, and basic machine learning. Over 40 hours, participants will learn how to work with real-world datasets using Python, explore data trends, build simple predictive models, and understand how data science integrates with cloud and data engineering workflows. This workshop is ideal for students, cloud professionals, database developers, and administrators looking to expand their skills into the growing field of data science. Read More Duration 5 Days DOWNLOAD DCT Cloud Fundamentals DCT Cloud Computing Essentials gives an insight into how Cloud computing helps individuals and organizations to take advantage of the cost / benefit of moving from on premises equipment to cloud computing with faster and reliable internet. The course is suitable for people planning to migrate to cloud and helps to understand concepts of cloud computing on compute and storage. Cloud computing provides a superior alternative to traditional on premises Server , Networking and storage equipment . The benefits are reduced costs , speed , scalability , productivity, and reliability . Cloud computing allows users to remotely access unlimited data storage and software over the internet without the need for expensive hardware in every business location. Read More Duration 3 Days DOWNLOAD DCT Cybersecurity awareness Designed to give learners an understanding of how to secure their data and devices while using organizational or personal resources. Read More Duration 2 Days DOWNLOAD DCT IP Surveillance, Storage & Access Control This is Practical oriented course which covers the principles, Installation and integration of IP Surveillance, Storage & Network Video Recorder(NVR) and access control to give a unified solution on physical security. Read More Duration 5 Days DOWNLOAD DCT Project Management for Infrastructure and Data Center Managers (PMIDC The DCT PMIDC course gives project managers the skills to handle complex projects with defined methodology from start to finish. Read More Duration 5 Days DOWNLOAD DCT Unified Communications & Video Conferencing. DCT Unified Communications is a unique Multi-vendor course that introduces IP Telephony, Unified Messaging, Unified Presence and Unified mail to ICT Professional who are interested in venturing into the world of IP communications The class based training offers advanced hands on experience labs to prepare students for any deployment scenarios. Read More Duration 5 Days DOWNLOAD

This program is designed to clarify the complex world of data centers. It offers an overview of what data centers are, how they operate, and why they are essential. Key aspects of basic design and design philosophies are examined, along with the essential considerations of data center management. Topics such as operational processes, energy management, and facility management are explored, highlighting their connections to overall business strategy. DCT Data Centre Essentials What this course is all about. This program has been designed to help de-mystify the complex world of data centers. It provides an overview of what data centers are, what they do and why we need them. Key aspects relating to basic design and design philosophies are also examined and the essential considerations of data center management such as operational processes, energy management and facility management are explored along with their relationships to overall business strategy. Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

Experience a whole new way to learn. With more than 10 certifiable courses enough to upscale your professional career. Formazione sui centri dati WHY DATA CENTRE CERTIFICATIONS Acquiring Data Centre certifications is the best way for Data centre Professionals to gain insights and knowledge on cutting edge technologies , skills , advance their career progression and earn more money. Certifications allow data center managers and decision-makers to find and retain talent that can bridge the IT skills gap. However, with so many certifications available, it can be difficult to know where to start. Familiarize yourself with today’s top data center certifications from DCT to better understand your options and select the one(s) that best meet the needs of yourself and your organization. WHY GET A DATA CENTRE CERTIFICATION FROM DCT ? Boost credibility Professional development with DCT certifications with career advancement . Fill the skills gap , be competitive and earn more money. DCT Data Centre Essentials This program has been designed to help de-mystify the complex world of data centers. It provides an overview of what data centers are, what they do and why we need them. Key aspects relating to basic design and design philosophies are also examined and the essential considerations of data center management such as operational processes, energy management and facility management are explored along with their relationships to overall business strategy. Read More Duration 1 Day SCARICA IL PDF DCT Data Center Cooling Data centre cooling provides optimized cooling to ensure lower operation cost , well maintained active equipment ( servers , storage and network equipment) . The cooling options are, Free cooling , Room cooling , Rack mounted DX thermal cooling , row based cooling and centralized chiller systems. As the data center power and density has increased every year, the need to remove the heat generated has become a more important factor for the design and operation of the facility. Read More Duration 5 Days SCARICA IL PDF DCT Data Center Power Data Centre power systems are key to Data centre operations , which includes smart online UPS , Tower UPS , Modular UPS , Inverters , solar systems and backup generators to ensure 100% uptime . An Automatic transfer switch (ATS) is installed to ensure continuous delivery of power from primary source to a backup power source in case of power failure from the primary source. Read More Duration 5 Days SCARICA IL PDF DCT Data Center Essentials, Power and Cooling. DCT Data Center Combo covers Data center essentials, power and cooling mainly designed to help you better understand the essentials on mechanical cooling and power systems that support data centers. Read More Duration 5 Days SCARICA IL PDF DCT Data Center Design The DCT Data Centre Design certification ( DCT-DC-DCD ) helps with design , architecting , engineering and planning of Data centres. The DCD certification covers best practices applicable in planning , documentation and construction of Data centres, Data Centre standards , Floor space , cabinet placement , Power , Cooling , Cabling and Building Management Systems (BMS) .The DCT-DC-DCD is a 5 day in-depth certified training which helps individuals to understand the concepts of building Data centre from design to construction from Feasibility study , documentation and design of a modern data centre. Read More Duration 5 Days SCARICA IL PDF DCT Micro Data Centre DCT MDC-DIC: The 3-day practical course on Micro Data centre (MDC) , Design , Install and Configure is targeted for individuals and companies who want to migrate from Server / Network cabinet with comfort cooling with no monitoring to an integrated “ Data Centre in-a- Box “ with full Data Centre Infrastructure Management (DCIM) with an option for Centralized monitoring dash board for multiple MDC. Students will gain practical knowledge of facilities infrastructure, power, cooling, security, fire , DCIM and Environmental Monitoring system(EMS) with automatic Alerts. The course Includes one day of DCT Data centre Essentials. Read More Duration 3 Days SCARICA IL PDF

The DCT PMIDC course equips project managers with the skills to manage complex projects using a defined methodology from start to finish. DCT Project Management for Infrastructure and Data Center Managers ( PMIDC ) What this course is all about. The DCT PMIDC course gives project managers the skills to handle complex projects with defined methodology from start to finish. Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

DCT Cloud Computing Essentials provides insight into how cloud computing enables individuals and organizations to leverage the cost benefits of transitioning from on-premises equipment to cloud solutions, particularly with faster and more reliable internet. This course is ideal for those planning to migrate to the cloud and helps users understand the fundamental concepts of cloud computing related to computing and storage. DCT Artificial Intelligence Associate Course What this course is all about. Course Description This associate-level workshop provides a comprehensive foundation in Artificial Intelligence (AI) — combining theory, practical lab work, and real-world applications. Participants will learn how AI systems are built, trained, and deployed using both open-source and cloud tools. By the end of the course, learners will be able to design small-scale AI solutions, evaluate models, and understand AI’s ethical, business, and operational impacts. Learning Outcomes By the end of the course, participants will be able to: Explain the fundamental principles, history, and categories of Artificial Intelligence. Prepare and process data for AI and ML applications. Implement machine learning and deep learning models for basic use cases. Understand how generative AI and large language models (LLMs) function. Deploy and manage AI models in both on-premise and cloud environments. Identify ethical and responsible AI considerations. Integrate AI into IT and business processes. Target Audience IT Professionals, System Administrators, and Developers transitioning into AI Database Administrators and Data Engineers expanding into data-driven applications Cloud professionals seeking to integrate AI services into workflows Course Outline Module 1: Introduction to Artificial Intelligence and Data Foundations AI Overview and Evolution What is AI? Historical context and modern developments Key domains: Machine Learning, Deep Learning, Generative AI, Expert Systems AI use cases across industries (healthcare, finance, IT operations, etc.) Understanding AI Ecosystems AI frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Open-source vs. cloud AI platforms (AWS, Azure, GCP) Data and the AI Lifecycle Role of data in AI projects Types of data (structured, unstructured, semi-structured) Basics of data engineering and data pipelines AI Project Lifecycle Defining the problem and use case selection Data collection and cleaning Model selection, training, testing, and deployment Hands-on Labs Setting up Python and Jupyter Notebook environment Exploring datasets using Pandas and NumPy Simple classification using a pre-trained model Module 2: Machine Learning and Model Evaluation Core Machine Learning Concepts Supervised, Unsupervised, and Reinforcement Learning Algorithms overview: Linear Regression, Decision Trees, KNN, Clustering Model training and validation workflow Feature Engineering and Data Preparation Data normalization and encoding Handling missing and imbalanced data Feature selection techniques Model Evaluation Confusion matrix, ROC curve, Precision/Recall/F1-score Avoiding overfitting and underfitting Model Optimization Hyperparameter tuning Cross-validation and grid search Hands-on Labs Building a supervised ML model from scratch Comparing algorithm performance Visualizing results using Matplotlib and Seaborn Module 3: Deep Learning, Generative AI, and Neural Networks Deep Learning Fundamentals Artificial Neural Networks (ANN) structure Convolutional and Recurrent Neural Networks (CNNs and RNNs) Transfer learning and pre-trained models Generative AI What is Generative AI? Large Language Models (LLMs): GPT, BERT, Claude, Gemini Prompt engineering basics Use cases: text generation, summarization, image synthesis Applied AI Computer vision, NLP, and speech recognition basics AI in automation (AIOps, Chatbots, Intelligent Assistants) Hands-on Labs Training a neural network on image data Text classification and summarization using pre-trained NLP models Experimenting with generative AI APIs (optional if cloud resources available) Module 4: AI Deployment, Responsible AI, and Cloud Integration AI Deployment and MLOps Model packaging and versioning REST APIs for inference Introduction to MLOps and CI/CD pipelines for AI Edge and Cloud AI Edge AI overview (TinyML, IoT inference) Cloud deployment using AWS SageMaker, Azure ML, or Vertex AI Cost and scaling considerations Ethics, Governance, and Responsible AI Bias, fairness, and transparency Explainable AI (XAI) AI regulation and governance frameworks Career and Industry Pathways AI job roles (AI Analyst, ML Engineer, Data Scientist Assistant) Continuing education and certifications roadmap Hands-on Labs Deploying an ML model as an API endpoint Model explainability exercise (SHAP/LIME demo) Group mini-project: design an AI-based solution for a business challenge Module 5 (Capstone Project) Capstone Project End-to-end AI workflow: Define a use case Collect and preprocess data Train and evaluate model Deploy locally or via a lightweight cloud environment Group presentations and feedback session Assessment and Certification Knowledge Check: Short quizzes and discussions at the end of each module Practical Evaluation: Hands-on lab submissions or in-class demos Capstone Project: Team-based AI solution (optional for shorter version) Tools & Platforms used Languages: Python Frameworks: TensorFlow, Scikit-learn, PyTorch, Keras Libraries: Pandas, NumPy, Matplotlib, Seaborn Cloud Options (optional): Azure AI Studio, AWS SageMaker, or Google Vertex AI IDE: JupyterLab / VS Code Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

DCT Cloud Computing Essentials provides insight into how cloud computing enables individuals and organizations to leverage the cost benefits of transitioning from on-premises equipment to cloud solutions, particularly with faster and more reliable internet. This course is ideal for those planning to migrate to the cloud and helps users understand the fundamental concepts of cloud computing related to computing and storage. DCT Data Science Associate What this course is all about. Duration 40 Hours (5 Days) Description The Data Science Associate course is a practical, hands-on course designed to introduce participants to the fundamentals of data science, from data collection and cleaning to analysis, visualization, and basic machine learning. Over 40 hours, participants will learn how to work with real-world datasets using Python, explore data trends, build simple predictive models, and understand how data science integrates with cloud and data engineering workflows. This workshop is ideal for students, cloud professionals, database developers, and administrators looking to expand their skills into the growing field of data science. Audience Profile: Aspiring data engineers Cloud professionals expanding into analytics Database developers and administrators Students beginning their data science journey Prerequisites: Basic programming (Python preferred) Understanding of databases and SQL Familiarity with cloud or Linux environment is a plus Course Objectives By the end of this course, participants will be able to: Understand the data science lifecycle and key roles. Prepare, clean, and explore datasets effectively. Apply exploratory data analysis (EDA) techniques using Python. Build and evaluate basic machine learning models. Use visualization tools to communicate findings. Integrate cloud-based data tools for scalable analysis. Understand the link between data engineering and data science workflows. Course Outline Module 1: Introduction to Data Science and the Data Ecosystem What is Data Science? Data Science vs. Data Engineering vs. Machine Learning The Data Science Lifecycle Key tools and technologies (Python, Jupyter, Pandas, scikit-learn) Overview of roles in data teams Setting up the data science environment Lab Exercises Setting up Jupyter or VS Code notebooks Exploring a sample dataset (CSV) Simple data queries and transformations Module 2: Data Acquisition, Cleaning, and Preparation Types and sources of data (databases, APIs, files, cloud storage) Loading data with Pandas and SQL Data wrangling: handling missing data, duplicates, and outliers Data types and conversions Feature extraction and normalization Intro to ETL and integration with data engineering workflows Lab Exercises Loading data from CSV and SQL databases Cleaning and transforming a messy dataset Writing and executing data cleaning scripts in Python Module 3: Exploratory Data Analysis and Visualization Descriptive statistics and data summaries Correlation, covariance, and feature relationships Visualizing data using Matplotlib and Seaborn Identifying patterns and trends Introduction to hypothesis testing Lab Exercises Plotting and summarizing dataset features Detecting correlations and relationships visually Building a small exploratory data analysis report Module 4: Introduction to Machine Learning Machine learning fundamentals Supervised vs. Unsupervised Learning Model training, validation, and evaluation Classification and regression algorithms Model performance metrics (accuracy, precision, recall, RMSE) Introduction to scikit-learn Lab Exercises Building a regression and classification model Evaluating model accuracy Feature scaling and model tuning basics Module 5: Cloud Data Science and Capstone Project Cloud data science overview (AWS, Azure, GCP) Managed services: SageMaker, Vertex AI, Azure ML Using cloud storage and data warehouses (BigQuery, Redshift, Synapse) Integrating notebooks with cloud platforms Real-world workflow: from data ingestion to insight Capstone Lab (Comprehensive Project) Acquire, clean, and analyze a real dataset Perform EDA and build a predictive model Visualize and present results in a Jupyter notebook Discuss deployment and next steps Tools and Technologies Programming: Python 3.x Libraries: Pandas, NumPy, Matplotlib, Seaborn, scikit-learn Environment: JupyterLab or VS Code Databases: SQLite / PostgreSQL Visualization: Matplotlib, Seaborn, or Plotly Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

Designed to give learners an understanding of how to secure their data and devices while using organizational or personal resources. DCT Cybersecurity awareness What this course is all about. Designed to give learners an understanding of how to secure their data and devices while using organizational or personal resources. Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

Experience a whole new way to learn. With more than 10 certifiable courses enough to upscale your professional career. Register for Training Please provide your contact details below to enable us to reach out to you regarding your registration. Select a course Choose an option Company Full Names Position ( optional ) Email Message Code Phone I agree to the terms & conditions Send Thanks for submitting!

Security and Management are two key elements for the successful development and progression of any leading business. Effective security management, personnel, and systems must integrate and support the business to secure key assets, rather than restrict its operation. DCT Security Management, Planning & Asset Protection What this course is all about. Security and Management are two key elements for the successful development and progression of any leading business. Effective security management, personnel, and systems must integrate and support the business to secure key assets, rather than restrict its operation. Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

Data center power systems are essential for the operation of data centers. This includes smart online UPS systems, tower UPS systems, modular UPS systems, inverters, solar power systems, and backup generators to ensure 100% uptime. An Automatic Transfer Switch (ATS) is installed to guarantee a continuous supply of power by transferring from the primary power source to a backup source in the event of a power failure.ckup source in the event of a power failure. DCT Data Center Power What this course is all about. Data Centre power systems are key to Data centre operations , which includes smart online UPS , Tower UPS , Modular UPS , Inverters , solar systems and backup generators to ensure 100% uptime . An Automatic transfer switch (ATS) is installed to ensure continuous delivery of power from primary source to a backup power source in case of power failure from the primary source. Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

Experience a whole new way to learn. With more than 10 certifiable courses enough to upscale your professional career. Cosa hai bisogno di sapere BADGE DIGITALI Ottieni certificazioni avanzate su qualsiasi corso desiderato. Dare un'occhiata. Dacomms Training ha stretto una partnership con Credly per fornirti un modo conveniente per mostrare i tuoi risultati professionali. Al termine del corso, ora riceverai un "badge digitale" per riconoscere i tuoi risultati. Un badge digitale è facilmente condiviso online, ricco di dati e verificato. È il modo ideale per mostrare i tuoi risultati. I badge aiutano a supportare sia gli individui che le aziende avendo un modo facilmente identificabile per riconoscere i talenti e premiare i risultati. Offrono un valore significativo ai professionisti creando un forte strumento visivo che può aiutare a migliorare il riconoscimento dei dipendenti e rafforzare i profili di lavoro per coloro che cercano nuove opportunità di carriera. Dopo aver completato con successo un corso di formazione Datacomms e aver ricevuto la certificazione ufficiale, alle persone verrà automaticamente rilasciato il loro badge digitale univoco. I badge vengono archiviati in modo sicuro insieme e gestiti dall'individuo tramite il proprio account utente. Da qui, i badge possono essere facilmente condivisi tramite i social media e possono anche essere scaricati per verificare conoscenze, competenze e certificazioni acquisite, quindi aggiunge una preziosa credibilità ai profili professionali delle persone. Vantaggi dell'utilizzo dei badge Credly. Ecco alcuni dei vantaggi dell'utilizzo dei badge digitali Credly: Riconoscimento: i badge digitali possono essere utilizzati per riconoscere e celebrare i risultati dell'apprendimento. Questo può essere un ottimo modo per motivare gli studenti e incoraggiarli a continuare ad apprendere. Verifica: i badge digitali possono essere verificati per garantire che siano autentici e che lo studente abbia soddisfatto i requisiti per ottenere il badge. Questo può essere utile per i datori di lavoro e altre organizzazioni che stanno cercando di valutare le capacità e le conoscenze di uno studente. Portabilità: i badge digitali sono portatili e possono essere facilmente condivisi con altri. Questo li rende un ottimo modo per mostrare le tue capacità e conoscenze a potenziali datori di lavoro o clienti. Personalizzazione: i badge digitali possono essere personalizzati per riflettere i risultati individuali dello studente. Questo può renderli più significativi e motivanti per lo studente. Nel complesso, i badge digitali Credly sono uno strumento prezioso per riconoscere, verificare e mostrare i risultati dell'apprendimento. Possono essere utilizzati da individui, organizzazioni e datori di lavoro per aiutare gli studenti a monitorare i propri progressi, sviluppare competenze e far progredire la propria carriera. Formazione infrastrutturale Formazione sui centri dati Formazione sui centri dati

The DCT Data Centre Design certification ( DCT-DC-DCD ) helps with design , architecting , engineering and planning of Data centres. DCT Data Center Design What this course is all about. The DCT Data Centre Design certification ( DCT-DC-DCD ) helps with design , architecting , engineering and planning of Data centres. The DCD certification covers best practices applicable in planning , documentation and construction of Data centres, Data Centre standards , Floor space , cabinet placement , Power , Cooling , Cabling and Building Management Systems (BMS) .The DCT-DC-DCD is a 5 day in-depth certified training which helps individuals to understand the concepts of building Data centre from design to construction from Feasibility study , documentation and design of a modern data centre. Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here