5812 Computing courses in Abingdon-on-Thames delivered Online

Duration 4 Days 24 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe mobile network architecture basics List enabling technologies for 5G and describe 5G key use cases Perform basic operations on a Cisco 5G NSA mobile packet core Describe the Cisco 5G Converged SDN Transport Architecture Describe Cisco NFVI and perform basic operations using Cisco ESC and Cisco Virtualized Infrastructure Manager (VIM) Describe Cisco service provider automation and orchestration solutions to deploy and manage 5G network functions Describe the Cisco Ultra Cloud Core architecture and deploy the Cisco SMI Explain the 5G ready distributed Telco DC with Cisco ACI solution Describe the Cisco 5G security architecture The Cisco Service Provider 5G Technologies Foundations (SPMBL100) v1.0 course introduces mobile network components, basic 5G concepts, and features of 5G technology including faster data speeds, higher device capacity, and improved user experience. You will examine the mobile packet core solutions, 5G transport architecture, and Cisco© automation and orchestration tools used in 5G networks. You will also learn about the Cisco 5G Non-standalone (NSA) and the Cisco Ultra Cloud Core 5G standalone (SA) platform solutions, the Cisco 5G converged Software-Defined Networking (SDN) transport architecture, and Cisco edge computing solutions. You will study the Cisco Network Function Virtualization (NFVI) architecture, Cisco Network Services Orchestrator (NSO), and Cisco Elastic Services Controller (ESC). You will learn how 5G is distributed with Telco Data Center (DC) with Cisco Application Centric Infrastructure (Cisco ACI©). And finally, Zero-Touch Provisioning (ZTP), Cisco Crosswork?, and the Cisco 5G security architecture will also be presented. Mobile Network Fundamentals 5G Key Use Cases Examining Mobile Network Components Enabling Technologies for 5G Introduction to 5G NR Characteristics Cloud Radio Access network (RAN) Cisco 5G NSA Solution 5G NSA Basics 5G NSA StarOS Configurations Cisco 5G Converged SDN Transport Architecture Cisco 5G Transport Ready Devices Application Awareness and Network Slicing with Segment Routing Cisco NFV Infrastructure, Cisco Virtualized Network Functions (VNFs), Cisco VIM, and Cisco ESC NFVI and SDN Architecture Overview Cisco VIM Pod Configurations Cisco Service Provider Automation and Orchestration Telemetry Basics ZTP Fundamentals Cisco Ultra Cloud Core Cisco Ultra Cloud Core Basics Kubernetes and Docker Fundamentals 5G Ready Distributed DC with Cisco ACI Cisco ACI in Telco Data Centers 5GC Deployment Mitigating Threats in 5G Introduction to 5G Cybersecurity Risks Mitigating 5G Cybersecurity Risks

Duration 3 Days 18 CPD hours This course is intended for Security professionals. This module is intended for everyone who is involved in the implementation, evaluation and reporting of an information security program, such as an Information Security Manager (ISM), Information Security Officer (ISO) or a Line Manager, Process Manager or Project Manager with security responsibilities. Basic knowledge of Information Security is recommended, for instance through the EXIN Information Security Foundation based on ISO/IEC 27001 certification. Overview The module Information Security Management Professional based on ISO/IEC 27001 (ISMP.EN) tests understanding of the organizational and managerial aspects of information security.The subjects of this module are: Information security perspectives: business, customer, service provider/supplier Risk Management: analysis, controls, remaining risks Information security controls: organizational, technical, physical. Information security is the preservation of confidentiality, integrity and availability of information (ISO/IEC 27000 definition). Information security is gaining importance in the Information Technology (IT) world. Globalization of the economy is leading to an ever-increasing exchange of information between organizations (their staff, customers and suppliers) and an explosion in the use of networked computers and computing devices. The core activities of many companies completely rely on IT. Enterprise resource planning (ERP) management systems, the control systems that govern how a building runs or a manufacturing machine functions, day-to-day communications - everything - runs on computers. The vast majority of information - the most valuable commodity in the world - passes through IT. Information is crucial for the continuity and proper functioning of both individual organizations and the economies they fuel; this information must be protected against access by unauthorized people, protected against accidental or malicious modification or destruction and must be available when it is needed. Companies and individual users of technology are also beginning to understand how important security is and are beginning to make choices based on the security of the technology or service. Information Security Perspectives The candidate understands the business interest of information security The canidate understands the customer perspective on governance The candidate understands the supplierïs responsibilities in security assurance Risk Mangement The candidate understands the principles of risk management The candidate knows how to control risks The candidate knows how to deal with remaining risks Information Security Controls The candidate has knowledge of organizational controls The candidate has knowledge of technical controls The candidate has knowledge of physical, employment-related and continuity controls

Thinking about learning more about the ethical use of AI? The BCS Foundation Award; Understanding the Role of Ethics in the Responsible Use of AI, explores the responsibility of organisations and society towards ensuring AI is implemented for the good of others. It considers the potential harm AI may pose, and the safeguards that can be implemented to ensure it is used safely, ethically and for the good of society. You will be encouraged to explore the benefits associated with AI and the potential value it can add towards the continued evolution of humankind if managed well You will learn learn about the impact and level of responsibility of AI in business, an understanding of the need to scale up the impact and responsibility of AI to society, understand the potential harm and safeguards and understand the role of humans in an AI world.

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 5 Days 30 CPD hours This course is intended for Professionals who need to maintain or set up a Kubernetes cluster Container Orchestration Engineers DevOps Professionals Overview Cluster architecture, installation, and configuration Rolling out and rolling back applications in production Scaling clusters and applications to best use How to create robust, self-healing deployments Networking configuration on cluster nodes, services, and CoreDNS Persistent and intelligent storage for applications Troubleshooting cluster, application, and user errors Vendor-agnostic cloud provider-based Kubernetes Kubernetes is a Cloud Orchestration Platform providing reliability, replication, and stability while maximizing resource utilization for applications and services. By the conclusion of this hands-on, vendor agnostic training you will go back to work with the knowledge, skills, and abilities to design, implement, and maintain a production-grade Kubernetes cluster. We prioritize covering all objectives and concepts necessary for passing the Certified Kubernetes Administrator (CKA) exam. You will be provided the components necessary to assemble your own high availability Kubernetes environment and configure, expand, and control it to meet the demands made of cluster administrators. Your week of intensive, hands-on training will conclude with a mock CKA exam that simulates the real exam. Cluster Architecture, Installation & Configuration Each student will be given an environment that allows them to build a Kubernetes cluster from scratch. After a detailed discussion on key architectural components and primitives, students will install and compare two production grade Kubernetes clusters. Review: Kubernetes Fundamentals After successfully instantiating their own Kubernetes Cluster, students will be guided through foundational concepts of deploying and managing applications in a production environment. Workloads & Scheduling After establishing a solid Kubernetes command line foundation, students will be led through discussion and hands-on labs which focus on effectively creating applications that are easy to configure, simple to manage, quick to scale, and able to heal themselves. Services & Networking Thoroughly understanding the underlying physical and network infrastructure of a Kubernetes cluster is an essential skill for a Certified Kubernetes Administrator. After an in-depth discussion of the Kubernetes Networking Model, students explore the networking of their cluster?s Control Plane, Workers, Pods, and Services. Storage Certified Kubernetes Administrators are often in charge of designing and implementing the storage architecture for their clusters. After discussing many common cluster storage solutions and how to best use each, students practice incorporating stateful storage into their applications. Troubleshooting A Certified Kubernetes Administrator is expected to be an effective troubleshooter for their cluster. The lecture covers a variety of ways to evaluate and optimize available log information for efficient troubleshooting, and the labs have students practice diagnosing and resolving several typical issues within their Kubernetes Cluster. Certified Kubernetes Administrator Practice Exam Just like the Cloud Native Computing Foundation CKA Exam, the students will be given two hours to complete hands-on tasks in their own Kubernetes environment. Unlike the certification exam, students taking the Alta3 CKA Practice Exam will have scoring and documented answers available immediately after the exam is complete, and will have built-in class time to re-examine topics that they wish to discuss in greater depth.

Prologue to IoT - Internet of Things Finding out about the Internet of Things is indispensable for each and every individual who needs to improve the manner in which they convey and get modern on the most energizing innovation accessible. IoT can improve the manner in which you work, play and carry on with your life and is fundamental information for organizations and people. This course covers all you require to think about IoT, including a full definition and extensive examination of the various gadgets accessible. From the total manual for Smart Home, Smart Environments and Smart Vehicle answers for an examination of the innovation which unites everything, this course is a definitive early on manual for IoT. You Will Learn A full meaning of IoT and the various gadgets included A thorough manual for Home Automation (Smart Home) arrangements Viable uses of IoT, including Smart Environments and Vehicles The different advancements used to empower IoT gadgets and items Advantages of Taking This Course You will improve efficiency and benefit through IoT advancement You will save time and exertion via mechanizing your associations You will draw in new business by staying current and pertinent You will settle on educated IoT decisions by seeing how it functions and what it can accomplish

Thinking about learning Ethics in IT? The BCS Foundation Award in Understanding Ethical Principles in the IT Profession explore ethics in relation to your own role and the ethical principles upheld within the IT profession. It identifies common threats to ethical behaviour in IT and the safeguards that can help to minimise these threats. It also explores the role of legislation and corporate governance in ensuring ethical standards are promoted and maintained You will learn an understanding of The Importance of Ethics to Society, Business and IT Professionals, knowledge of The Ethical Behaviour Required by IT Professional, understanding The Role of Corporate Governance, understand Relevant Legislation and understand Ethical Dilemmas And Safeguards.

Transform your future with our stellar "Diploma in Python, Java, and Machine Learning" bundle, designed to ignite your passion for programming and data science. Dive deep into the complex world of Python and Java, two of the most versatile and widely-used programming languages of the 21st century, guided by our three QLS-endorsed courses. With this exclusive bundle, you will also receive a tangible recognition of your learning journey - hardcopy certificates that attest to your dedication and newfound skills. Continue your thrilling journey of discovery with five additional courses, all CPD QS accredited, that expose you to the riveting realms of Azure Machine Learning, AWS SageMaker Canvas, and more. Grasp the nuances of Statistics and Probability specifically for Data Science, and master the A-Z of Data Science and Machine Learning with R, a powerful tool for statistical analysis and graphics. Never has such a comprehensive package been offered. This course bundle not only imparts knowledge of leading programming languages but also goes beyond to equip you with a solid understanding of machine learning concepts and the exciting world of data science. Whether you're looking to enhance your resume, break into a new field, or simply quench your thirst for knowledge, our eight-course bundle is the key to unlocking a world of potential. Get ready to redefine your learning experience and embark on an unforgettable journey of intellectual growth. Prepare to amaze yourself with what you can achieve! Key Features of the Diploma in Python, Java and Machine Learning Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Diploma in Python, Java and Machine Learning bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Diploma in Python Programming QLS Course 02: Introduction to Java QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Azure Machine Learning Course 02: Complete Python Machine Learning & Data Science Fundamentals Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Diploma in Python, Java and Machine Learning courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain an in-depth understanding of Python and Java, two powerful programming languages that underpin modern computing. Develop comprehensive knowledge of machine learning concepts, principles, and techniques using both Python and AWS SageMaker Canvas. Understand how to implement and utilise Azure Machine Learning. Grasp the fundamentals of Data Science, including crucial statistical methods and probability theory. Learn the complete range of applications of R in Data Science and Machine Learning. Build a strong theoretical foundation that enables critical thinking and problem-solving in real-world scenarios. Achieve hardcopy certificates of QLS-endorsed courses as proof of your dedication and hard-earned skills. Elevate your intellectual capabilities with our "Diploma in Python, Java, and Machine Learning" bundle. This bundle, featuring three QLS-endorsed and five CPD QS-accredited courses, is meticulously designed to bring you the best of programming languages, data science, and machine learning. It offers a deep dive into Python and Java, extends into the promising terrain of machine learning, and wraps up with a nuanced understanding of data science and related statistical methods. Unlock new doors of possibilities with this comprehensive and profound learning journey. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in learning programming languages such as Python and Java. Enthusiasts wanting to gain a theoretical understanding of machine learning and data science. Professionals seeking to broaden their knowledge base and enhance their resumes. Anyone with a passion for lifelong learning and a thirst for knowledge in tech-related fields. Career path Python Developer: £30,000 - £70,000 per year. (Average Salary range in the UK) Java Developer: £70,000 per year. Machine Learning Engineer: £40,000 - £80,000 per year. Data Scientist: £35,000 - £80,000 per year. Azure/AWS Machine Learning Specialist: £40,000 - £90,000 per year. Statistician: £30,000 - £60,000 per year. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

The complete manual to help you master real-world AWS concepts and pass the AWS Developer Associate - Exam

Overview Embarking on a journey through the intricate pathways of the Linux File Management System offers a thrilling yet essential adventure for those diving into modern computing. This course unfolds the mysteries behind Linux's unique file hierarchy, ensuring that users comprehend its structure and master the art of navigation and manipulation within this environment. From initial introductions to setting up a dedicated lab and diving deep into the Linux FileSystem, learners will be equipped with the prowess to navigate Linux systems effortlessly. Learning Outcomes: Understand the fundamental principles and concepts of the Linux File Management System. Acquire the knowledge to configure and set up a functional Linux lab environment. Demonstrate proficiency in navigating the Linux filesystem hierarchy. Apply various commands and techniques to manage files effectively. Recognise and differentiate between multiple Linux file types and their specific purposes. Implement appropriate security measures to safeguard files and directories. Evaluate and troubleshoot common file management issues within Linux environments. Why buy this Linux File Management System? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Linux File Management System there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Linux File Management System course is ideal for Aspiring system administrators keen on mastering Linux file management. Software developers looking to enhance their Linux-based application development skills. IT enthusiasts aiming to expand their knowledge on Linux operations. Individuals transitioning from other operating systems to Linux platforms. University students studying computer science or related fields with a focus on Linux systems. Prerequisites This Linux File Management System does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Linux File Management System was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Linux System Administrator: Average salary of £40,000 - £55,000 Per Annum. Software Developer (Linux-focused): Average salary of £45,000 - £60,000 Per Annum. Linux Support Engineer: Average salary of £30,000 - £45,000 Per Annum. IT Consultant (Linux speciality): Average salary of £50,000 - £70,000 Per Annum. Linux Systems Architect: Average salary of £60,000 - £80,000 Per Annum. Linux Training Specialist: Average salary of £35,000 - £50,000 Per Annum. Course Curriculum Section 1: Introduction Introduction 00:01:00 Course Overview 00:04:00 Section 2: Setup a Lab Unit 1: Download and Install VirtualBox 00:06:00 Unit 2: Creating First Virtual Machine 00:06:00 Unit 3: Linux Installation 00:25:00 Unit 4: Linux CentOS8 Installation 00:25:00 Section 3: Linux FileSystem Unit 1: Introduction to Unix and Linux 00:02:00 Unit 2: Accessing Linux System 00:03:00 Unit 3: Download and Install Putty 00:03:00 Unit 4: Connect Linux via Putty 00:05:00 Unit 5: Introduction to Linux FileSystem 00:05:00 Unit 6: FileSystem Structure and Description 00:13:00 Unit 7: FileSystem Navigation Commands 00:10:00 Unit 8: Absolute and Relative Paths 00:05:00 Unit 9: Directory Listing Attributes 00:03:00 Unit 10: Creating Files and Directories 00:09:00 Unit 11: Linux File Type 00:01:00 Unit 12: Difference Between Find and Locate Commands 00:06:00 Unit 13: Hard and Soft Link 00:12:00 Unit 14: i=Important Things to Remember 00:01:00 Unit 15: Understanding Wildcards 00:10:00 Unit 16: Command Prompts and Getting prompts Back 00:04:00 Unit 17: Changing Systems password 00:05:00 Assignment Assignment - Linux File Management System 00:00:00