1571 Cloud courses in Cardiff delivered Online

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Description Do you want to save your important file and images in a drive? If so, OneDrive allows you this opportunity that you can get the files and saved pictures at any time from any places using a tablet, computer, or mobile device. To know more about the features and activities, take a look at MS Office 365 OneDrive course. It will assist you in understanding all you need to know about the OneDrive. The MS Office 365 OneDrive course will teach you how to store files and images, create polished documents, collaborate in real-time, unlock insights, and present with clarity in this cloud-based app. The course also teaches you how to access files, open and save, share, view details, and changes the view and categorizing options. It will also teach the learners to work with delete and sync files with Version History effectively. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? MS Office 365 OneDrive is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our MS Office 365 OneDrive is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction FREE 00:02:00 Getting Started with OneDrive Overview 00:03:00 Accessing Files 00:06:00 Changing the View and Sorting 00:06:00 Opening a File 00:05:00 Saving Files to OneDrive 00:06:00 Creating and Rearranging Folders 00:05:00 Sharing Files 00:07:00 Viewing File Details 00:05:00 Working with Version History 00:06:00 DeletingFiles 00:04:00 Restoring Your OneDrive 00:02:00 SyncingFiles 00:06:00 Copying Files to SharePoint 00:03:00 Conclusion Course Recap 00:03:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Do you want to learn the fundamentals of networking and how to build, secure, and troubleshoot networks? If so, the CompTIA Network+ (N10-007) Course is for you!

NodeJS allows you to build complex and powerful applications quickly and easily, writing JavaScript code. It also allows you to use JavaScript for web applications with flexibility for a wide range of different purposes. Learn about MongoDB as a database and how to build it as well as Express as a framework to build web apps on top of Node.js.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Acrobat Pro DC enables users to create, combine, share and control media-rich Adobe PDF documents for easy and more secure communication, collaboration as well as timesaving electronic workflows. Adobe Acrobat Pro DC puts the power of the Portable Document Format, literally, at your fingertips. By taking advantage of the functionality & features available in Acrobat, you will ensure the integrity of your documents regards of who views them. This Adobe Acrobat DC Pro Introduction is designed for individuals who are new to Adobe Acrobat Pro but need to create and share PDF files and PDF portfolios. Through the course, you will learn the correct ways to create PDF documents from various resources including MS Word, Excel, PowerPoint, Outlook and more. You will also learn how to enhance PDF files by adding bookmarks and applying document security control. What Will I Learn? Access PDFs and Navigate the Interface Create PDFs Navigate PDFs Review PDFs and Add Comments Modify PDFs Optimize PDFs and Reduce File Size Export PDFs to other programs Protect PDFs Requirements Basic computer skills Introduction Introduction FREE 00:02:00 Accessing PDFs Introducing Acrobat and PDFs 00:03:00 Opening and Viewing PDFs 00:07:00 Using Tools and the Menu Bar 00:03:00 Using the Navigation Panels 00:02:00 Changing Preferences 00:03:00 Creating PDFs Creating PDFs from Office 00:06:00 Creating PDFs from Creative Cloud 00:10:00 Creating PDFs from Browsers 00:04:00 Storing a PDF 00:04:00 Combining PDFs 00:03:00 Navigating PDFs Using Search 00:05:00 Creating Bookmarks 00:08:00 Creating Links 00:09:00 Reviewing PDFs Commenting on a PDF 00:07:00 Sending for Review 00:07:00 Modifying PDFs Editing Text and Images 00:06:00 Cropping Images 00:02:00 Adding, Updating, and Removing Headers and Footers 00:06:00 Using Watermarks 00:06:00 Rotating Pages 00:02:00 Extracting Pages 00:03:00 Deleting Pages 00:01:00 Inserting Pages 00:02:00 Replacing Pages 00:04:00 Optimizing PDFs Reducing File Size 00:04:00 Advanced Optimization 00:09:00 Advanced Optimization 00:09:00 Using Actions 00:06:00 Creating Actions 00:07:00 Exporting PDFs Exporting to Word 00:05:00 Exporting to Excel 00:02:00 Exporting to Rich Text Format 00:02:00 Protecting PDFs Redacting Content 00:06:00 Protecting a PDF 00:09:00 Conclusion Course Recap 00:02:00 Course Certification

The Office 365 - Outlook Web App course is intended for individuals who work with Office 365 and Outlook Online. Microsoft Outlook tool allows its users the privilege to work from anywhere. Master the Microsoft's Outlook Web App and learn how to perform all the functions that placed in the Desktop version of Microsoft Outlook. Study about reading and responding to emails, creating and formatting messages, managing the mailbox, use the address book, creating folders for organization, and printing emails. In addition to that, you'll explore Outlook Web App with rules, understand IM settings and action items. Managing the Calendar, creating appointments and meetings requests, working with contacts, groups and tasks also discussed in the course. Besides, learn how to navigate the Office 365 Mail setting and new features and differences of using Outlook in the cloud. What Will I Learn? Navigate Outlook Online Create email messages and attach files Read and reply to emails, and work with attachments Create and manage rules Organize with folders and use Clutter Create and manage Contacts Manage the Calendar, and create appointments and meetings Work with Tasks Requirements Basic understanding of computers and navigating the Internet Knowledge of email functions and programs is helpful but not required Introduction Introduction 00:02:00 Getting Started With Outlook Online Navigating the Outlook Views 00:08:00 Working with the My Day View 00:03:00 Creating a New Email Message 00:05:00 Attaching a File 00:03:00 Working with Email Replying to an Email 00:03:00 Liking an Email Message 00:02:00 Formatting Email Text 00:03:00 Working with Conversation View 00:02:00 Deleting Emails 00:04:00 Printing Emails 00:02:00 Using the Notes Feature 00:03:00 Managing the Outlook Mailbox Using Sweep 00:02:00 Flagging Emails 00:02:00 Creating a Rule 00:04:00 Editing a Rule 00:02:00 Working with Favorites 00:02:00 Organizing Mail Working with Folders 00:07:00 Working with Clutter 00:04:00 Pinning and Searching for Emails 00:03:00 Using the Focused Inbox 00:05:00 Using Groups 00:05:00 Customizing Outlook Customizing the Environment 00:07:00 Setting Out of Office 00:05:00 Showing BCC and Using Read Receipts 00:04:00 Working with Contacts 00:07:00 Exploring the Calendar Exploring the Calendar View 00:05:00 Working with Calendars 00:07:00 Working with Shared Calendars 00:06:00 Working with Tasks Viewing Tasks 00:02:00 Creating Tasks 00:03:00 Conclusion Course Recap 00:02:00 Course Certification

Explore ChatGPT, a cutting-edge world of AI content creation, with our comprehensive course. This meticulously curated program unravels the technology behind ChatGPT to practical applications in machine learning, social media, data analysis, and image generation. This course unveils new facets of AI to navigate this evolving landscape with prowess.

Not sure where to start your DevOps journey? Or want to know what kind of activities a DevOps engineer would do on Git and GitHub in the real world? Or would you like to set up a production-ready Git environment for your developers? Then this course is for you.

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.