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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

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 Cloud Fundamentals What this course is all about. Course Overview 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. Target Audience IT professionals new to cloud technologies System administrators and developers transitioning to cloud environments Students or tech enthusiasts with general IT knowledge Learning Objectives By the end of the workshop, participants will be able to: Understand core cloud computing concepts and terminology Differentiate between IaaS, PaaS, and SaaS Identify and explain public, private, and hybrid cloud models Use a cloud platform to deploy and manage basic workloads Understand cloud networking, storage, and security fundamentals Estimate and optimize cloud costs Topics Day 1: Introduction to Cloud Concepts and Architecture Module 1: Cloud Fundamentals What is Cloud Computing? Key characteristics (on-demand, elasticity, scalability, pay-as-you-go) The evolution of cloud computing Benefits and challenges Common use cases Module 2: Cloud Service Models Infrastructure as a Service (IaaS) Platform as a Service (PaaS) Software as a Service (SaaS) When to use each model Hands-on Lab 1 (2 hours): Deploying a Virtual Machine using a free-tier or open cloud (e.g., AWS Free Tier, Azure Free, or OpenStack demo) Exploring instance types, regions, and availability zones Module 3: Cloud Deployment Models Public, Private, Hybrid, and Multi-cloud Cloud providers overview: AWS, Azure, Google Cloud, OpenStack Comparing deployment strategies Day 2: Core Cloud Services and Infrastructure Module 4: Cloud Compute, Storage, and Networking Virtual Machines and Containers Object, Block, and File Storage Cloud Networking Basics (VPCs, subnets, routing, security groups) Hands-on Lab 2: Create a virtual network and connect two VMs Configure firewall rules and test connectivity Upload and retrieve files using an object storage bucket Module 5: Cloud Security and Compliance Shared Responsibility Model Identity and Access Management (IAM) Encryption basics (data at rest, in transit) Security best practices Group Activity Design a secure cloud environment for a small business scenario Day 3: Cloud Automation, Management, and Cost Optimization Module 6: Cloud Management and Monitoring Cloud dashboards and CLI tools Resource tagging and organization Monitoring and logging basics Introduction to Infrastructure as Code (IaC) Hands-on Lab 3: Automate VM creation with a simple Terraform or cloud CLI script Monitor instance performance and resource usage Module 7: Cloud Economics and Cost Optimization Pricing models (on-demand, reserved, spot) Estimating cloud costs Cost optimization strategies Tools for budgeting and billing alerts Module 8: Emerging Cloud Trends & Wrap-up Serverless computing overview Containers and Kubernetes basics Edge and hybrid cloud trends Review and final Q&A Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

This 2-day cable testing program blending theory and practical copper/fiber optic testing and certification. Leverage Fluke Networks DSX-5000 CableAnalyzer™, CertiFiber® Pro, and OptiFiber® Pro OTDR to test and enhance high-performance cabling installations. Fluke Versiv CCTT What this course is all about. This 2-day cable testing program blending theory and practical copper/fiber optic testing and certification. Leverage Fluke Networks DSX-5000 CableAnalyzer™, CertiFiber® Pro, and OptiFiber® Pro OTDR to test and enhance high-performance cabling installations. Register Now Fill out your contact details below so that we can get in touch with you regarding your Registration Register here

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. 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 Infrastructure Training DCT Certified Network Infrastructure Professional Today’s Network Infrastructure for smart buildings starts with the foundation of copper and fiber cabling supported by Networking and wireless equipment to support POE devices on LAN and IoT devices. The DCT Certified Network Infrastructure professional (CNIP) is a 5 days intensive practical course with the aim to develop knowledge and skills to design and implement complex projects. The course covers Network fundamentals , Networking standards , Wireless , Security , unified communications , Copper Systems and Fiber systems Duration 2 Days DOWNLOAD PDF DCT Copper systems and Fiber systems DCT Structured cabling is a unique Multi-vendor course that introduces Structured Cabling standards for both Copper & Fibre installations Duration 2 Days DOWNLOAD PDF DCT Security Management, Planning & Asset Protection 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. Duration 2 Days DOWNLOAD PDF Fluke Versiv™ CCTT This 2-day cable testing program blending theory and practical copper/fiber optic testing and certification. Leverage Fluke Networks DSX-5000 CableAnalyzer™, CertiFiber® Pro, and OptiFiber® Pro OTDR to test and enhance high-performance cabling installations. Duration 2 Days DOWNLOAD PDF ETA ( Fiber Optics Installer – FOI ) A Fiber Optics Installer is trained in fiber installation, splicing, testing, and connectorization per TIA/EIA, ITU-T, and NEC standards, with expertise in loss testing, endface evaluation, and both fusion and mechanical splicing. Duration 2 Days DOWNLOAD PDF Apply Today This is a Paragraph. Click on "Edit Text" or double click on the text box to start editing the content. info@mysite.com 123-456-7890