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Duration 5 Days 30 CPD hours This course is intended for Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and data center networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: List VMware Telco Cloud Automation deployment options and procedures Define Infrastructure Automation and describe infrastructure deployment Describe the VMware Telco Cloud Automation infrastructure settings Configure containers as a service functionality Describe partner integration options and procedures Instantiate network services and network functions Describe the authorization model of VMware Telco Cloud Automation Define platform life cycle management (LCM) for VMware Telco Cloud Automation Enumerate troubleshooting concepts and day two operations for VMware Telco Cloud Automation Describe the use of APIs within VMware Telco Cloud Automation List examples of how VMware Telco Cloud Automation can be used in a CICD environment This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud Automation environment. In this course, you are introduced to VMware Telco Cloud Automation infrastructure settings, deployment options and procedures. You will explore containers as a service and understand the workflow details of partner integration processes. You will learn about infrastructure automation and its importance in VMware Telco Cloud Automation. You will onboard and instantiate network functions and network services using hands-on lab exercises.In addition, this course teaches life cycle management workflows as well as several types of technical problems in VMware Telco Cloud Automation, which you will identify, analyze, and solve through a systematic process. Course Introduction Introductions and course logistics Course objectives VMware Telco Cloud Automation Installation Describe day zero operations for VMware Telco Cloud Automation Describe the VMware Telco Cloud Automation architecture List the steps to perform VMware Telco Cloud Automation deployment List the steps to perform VMware Telco Cloud Automation control plane integration Describe VMware Telco Cloud Automation control plane scaling Describe the requirements for other applications such as vRealize Orchestrator and Harbor Describe where, when, and how to use VMware Telco Cloud Automation tagging Day 1 Operations: Infrastructure Automation Describe infrastructure automation List the use cases of infrastructure automation List the benefits of infrastructure automation Describe the infrastructure requirements of infrastructure automation Describe the infrastructure automation domains List the steps to deploy an infrastructure using infrastructure automation Day 1 Operations: Infrastructure Settings Describe the VMware Telco Cloud Automation infrastructure options Describe VMware Telco Cloud Automation infrastructure requirements Outline the role of virtual infrastructure and VMware Telco Cloud Automation Identify the benefits of public and private infrastructures List the steps to integrate a VM-based virtual infrastructure List the steps to integrate a container-based virtual infrastructure Describe private infrastructure requirements Day 1 Operations: Containers as a Service Define containers as a service (CaaS) List the challenges of CNF deployment without automation Describe the Kubernetes and Tanzu Kubernetes Grid architectures List steps to create a Kubernetes cluster template Describe the process for deploying node pools and groups List the steps to support anti-affinity of workload cluster nodes Describe cluster monitoring List CaaS scale options Day 1 Operations: Partner Integration Describe partner integration and the types of partners Describe Harbor and the various Harbor platforms List the steps to interface with a Harbor platform Compare and contrast specialized VNF managers (S-VNFMs) and generic VNF managers (G-VNFMs) Explain how to add an S-VNFM Define S-VNFM use cases List the benefits and challenges of using Airgap Day 1 Operations: Network Functions ad Network Services Describe the roles of network services and network functions List the types of descriptors Describe the role of TOSCA Describe the role of onboarding List the steps to onboard network functions and network services Examine the results of the onboarding process List the steps to instantiate network functions and network services Examine the results of the instantiation process Day 2 Operations: Authorization Model Explain the resources that can be accessed in vSphere Define the role of a vCenter Server system in credential management Define the role of Keycloak in credential management Describe the procedures to create, delete, and modify rules using vCenter Server Explain how to control and verify access to vSphere resources List the roles in VMware Telco Cloud Automation Explain the tasks and list the levels of permissions needed in VMware Telco Cloud Automation List all the permissions and filters that can be implemented in VMware Telco Cloud Automation Day 2 Operations: Life Cycle Management Explain the life cycle stages in VMware Telco Cloud Automation control plane Explain the life cycle stages in VMware Telco Cloud Automation Define an upgrade schedule Apply an upgrade schedule for life cycle management of the VMware Telco Cloud Automation control plane Apply an upgrade schedule for life cycle management in VMware Telco Cloud Automation Describe network function and network service life cycle management events Execute network function and network service healing Perform network function and network service termination Day 2 Operations: Troubleshooting List the components of the VMware Telco Cloud Automation dashboard Explain the features of fault management in VMware Telco Cloud Automation Explain the features of performance management in VMware Telco Cloud Automation Describe the use of fault management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of performance management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of CCLI for troubleshooting Define the procedures to integrate vRealize Operations Manager with VMware Telco Cloud Automation Describe how to use vRealize Operations Day Two Operations: API Management Define the VMware Telco Cloud Automation API Explain the API architecture Describe VMware Telco Cloud Automation API use cases Describe how to request security tokens for implementation Explain how to implement commands through external systems using APIs Day Two Operations: Continuous Integration and Continuous Delivery Describe continuous integration and continuous delivery (CICD) List the benefits and challenges of CICD Describe how VMware Telco Cloud Automation can be used in a CICD environment Explore VMware Telco Cloud Automation CICD examples

Course Overview This course on "Energy Saving in Electric Motors" provides learners with a comprehensive understanding of the principles and techniques for improving energy efficiency in electric motors. With the increasing demand for sustainable practices, this course equips participants with the knowledge to identify and implement energy-saving solutions, ultimately helping businesses reduce operational costs and environmental impact. Through a structured approach, learners will explore motor classifications, losses, and various strategies for optimising energy consumption. By the end of the course, participants will be equipped with the skills to enhance motor performance, ensuring long-term energy savings and contributing to a greener future. Course Description The "Energy Saving in Electric Motors" course covers a wide range of topics crucial for understanding energy efficiency in motor systems. Learners will explore key concepts such as motor classifications, relevant terminology, and the various losses associated with electric motors. The course delves into multiple strategies for energy saving across five focused modules, providing detailed insights into how energy consumption can be reduced at different stages of motor operation. The course also introduces energy-efficient motor technologies, ensuring learners gain a well-rounded understanding of the subject. Participants will develop the skills to identify opportunities for energy optimisation in motor systems, improving both operational efficiency and environmental sustainability. Course Modules Module 01: Introduction Module 02: Classification Module 03: Terminologies Module 04: Losses Module 05: Energy saving in motors part I Module 06: Energy saving in motors part II Module 07: Energy saving in motors part III Module 08: Energy saving in motors part IV Module 09: Energy saving in motors part V Module 10: Energy Efficient Motor (See full curriculum) Who is this course for? Individuals seeking to improve energy efficiency in industrial operations. Professionals aiming to enhance their expertise in electric motor systems. Beginners with an interest in energy management or electrical engineering. Environmental advocates looking to contribute to sustainable practices in the industrial sector. Career Path Energy Efficiency Consultant Electrical Engineer (Industrial Applications) Sustainability Manager Motor Systems Specialist Energy Auditing Professional

Course Overview This course provides a comprehensive introduction to European Medical Device Regulations (EU MDR), offering learners essential knowledge on the regulatory framework that governs medical devices in the European market. It covers the key components of the EU MDR, ensuring compliance with industry standards and regulations, and highlights the importance of quality systems and reporting requirements. Through this course, learners will gain a solid understanding of how to navigate and implement these regulations in their professional practice. This course is ideal for individuals seeking to expand their expertise in medical device regulation and is invaluable for those aiming to work within the medical device industry in Europe. Course Description The "Essentials of European Medical Device Regulations" course delves into the critical aspects of the EU MDR, including its foundational components, regulatory compliance, and the reporting and identification requirements for medical devices. Learners will explore the essential guidelines for ensuring quality systems are in place to maintain product safety and regulatory compliance. With a focus on practical scenarios and real-world applications, this course equips learners with the necessary skills to interpret and implement these regulations effectively. The course is designed for professionals looking to enhance their understanding of medical device regulations within the European market, offering in-depth insights into the key elements of the EU MDR and its impact on the industry. Course Modules Module 01: Overview to European Regulations on Medical Devices Module 02: Essential Components of EU MDR Module 03: Reporting Requirements and Identification Module 04: Quality System in Medical Device Regulation (See full curriculum) Who is this course for? Individuals seeking to understand European medical device regulations. Professionals aiming to enhance their regulatory compliance expertise. Beginners with an interest in the medical device industry. Regulatory professionals in the healthcare and life sciences sector. Career Path Regulatory Affairs Specialist Compliance Manager in the medical device industry Quality Assurance Manager Medical Device Consultant European Market Access Manager

Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance

Course Overview: The "Conveyancing - Online Diploma" offers a comprehensive introduction to the legal process of property transactions. This course covers key aspects of conveyancing, including property law, standard transactions, and taxation issues. It equips learners with essential knowledge in legal documentation, the law of contract, and landlord-tenant relations. Upon completion, learners will have developed a solid understanding of the conveyancing process, enabling them to pursue career opportunities within the legal sector or enhance their current roles. The course provides learners with a robust foundation in property law and conveyancing practices, ensuring that they are well-prepared for real-world applications in the field. Course Description: This online diploma course covers a wide range of topics crucial for understanding the conveyancing process. Learners will explore key fundamentals, including property law, the law of contract, and landlord-tenant relations. The course will also delve into the practical aspects of property transactions, such as preparing legal documents, understanding accounting procedures, and staying updated with land registry regulations. As learners progress, they will deepen their understanding of standard conveyancing transactions and taxation issues relevant to conveyancers. The course is designed to provide learners with the knowledge and skills needed to navigate the complexities of property law and successfully manage conveyancing processes within a legal or professional setting. Course Modules: Module 01: Introduction to Conveyancing Module 02: Key Conveyancing Fundamentals Module 03: Property Law & Conveyancing Practice Module 04: Land Registry Updates and Law Module 05: Law of Contract Module 06: Landlord and Tenant Module 07: Standard Conveyancing Transactions Module 08: Understanding Accounting Procedures for Conveyancing Transactions Module 09: Preparing Legal Documents Module 10: Taxation Issues for Conveyancers (See full curriculum) Who is this course for? Individuals seeking to start a career in conveyancing. Professionals aiming to deepen their knowledge of property law. Beginners with an interest in property law and conveyancing. Individuals wanting to work in legal support roles within real estate. Career Path: Conveyancer Property Lawyer Legal Assistant in Real Estate Paralegal in Property Transactions Real Estate Legal Consultant

Leadership and Management Essential Skill Course Overview: The "Leadership and Management Essential Skill" course provides an in-depth exploration of key concepts, strategies, and tools essential for effective leadership and management. Learners will gain a comprehensive understanding of leadership theories, management principles, and the critical differences between the two. Designed for those seeking to enhance their managerial expertise, the course delves into leadership styles, their impact, and the common challenges leaders face. By completing this course, participants will be equipped to lead teams with confidence, make informed decisions, and effectively manage diverse challenges in the workplace. Course Description: This course covers a range of topics that are fundamental to leadership and management. Learners will explore core management principles, including decision-making and organisational strategies, and apply leadership theories to real-world scenarios. The course also examines the differences between leadership and management and provides insight into the obstacles leaders face, such as resistance to change and conflict resolution. Various leadership styles will be discussed, along with their impacts on team dynamics and the importance of mentoring. Upon completion, learners will possess a strong foundation in both leadership and management, enabling them to apply their knowledge to various professional environments. Leadership and Management Essential Skill Curriculum: Module 01: Principles of Management Module 02: Applied Theories on Leadership Module 03: Leadership and Management Differences & Applications Module 04: Obstacles in Leadership and Management Module 05: Different Leadership Styles Module 06: Impact of Different Leadership Style and Mentoring (See full curriculum) Who is this course for? Individuals seeking to develop leadership capabilities. Professionals aiming to advance in management roles. Beginners with an interest in leadership or management. Anyone looking to improve team and organisational performance. Career Path: Team Leader Project Manager Department Head Operations Manager Senior Executive Leadership Consultant

Modern OpenGL 3D Game Course Overview This course in Modern OpenGL 3D Game Development introduces learners to the essential concepts and techniques required to build sophisticated 3D games. It focuses on the OpenGL API, guiding learners through the process of setting up a game engine, handling lighting, loading models, and applying advanced graphical techniques. By the end of this course, participants will have developed a solid understanding of 3D rendering fundamentals, allowing them to create visually compelling games. The course is designed to empower learners with the skills to enter the world of game development, with applications across various industries. Course Description In this course, learners will explore the powerful features of Modern OpenGL, diving into topics such as setting up an OpenGL environment, creating 3D models, and implementing advanced graphical effects. The course covers essential subjects like lighting, model loading, and resource management, preparing learners to tackle complex game development challenges. It provides an opportunity to understand and apply 3D rendering techniques used in professional game development. Participants will learn to create fully rendered, interactive game environments using OpenGL, gaining the ability to build and optimise performance in modern 3D games. The course provides a structured approach to developing foundational and advanced graphics skills, relevant for careers in the gaming industry. Modern OpenGL 3D Game Curriculum Module 01: Introduction Module 02: Setup Module 03: Getting Started Module 04: Lighting Module 05: Model Loading Module 06: Advanced Module 07: Resource (See full curriculum) Who is this course for? Individuals seeking to enter 3D game development. Professionals aiming to enhance their graphics programming skills. Beginners with an interest in gaming or computer graphics. Developers looking to expand their knowledge in OpenGL. Career Path 3D Game Developer Graphics Programmer Game Engine Developer Visual Effects Artist Technical Artist

ChatGPT for Marketing and Productivity with AI Tools Course Overview: This course provides an in-depth exploration of ChatGPT and other AI tools in the context of marketing and productivity. Designed for individuals keen on integrating AI into their business strategies, it covers essential techniques and applications to enhance marketing efforts and streamline work processes. Learners will gain insights into leveraging AI for targeted campaigns, content creation, and automation, while also learning how to increase personal and team productivity using AI tools. By the end of the course, learners will have a clear understanding of how to apply AI-driven solutions to achieve measurable results in marketing and productivity. Course Description: In this course, learners will explore the dynamic field of AI-powered marketing and productivity tools. Key topics include the AI Marketing Playbook, which introduces learners to the fundamentals of using AI in marketing, followed by strategies for utilising ChatGPT and other AI tools for content creation, social media campaigns, and customer engagement. Additionally, learners will discover various AI tools designed to optimise productivity, including project management, data analysis, and communication tools. This course provides a comprehensive approach, equipping learners with the knowledge to harness AI’s capabilities in improving both marketing efforts and workplace efficiency. ChatGPT for Marketing and Productivity with AI Tools Curriculum: Module 01: The AI Marketing Playbook Module 02: How to Use ChatGPT and AI for Marketing Module 03: Productivity with AI Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their marketing efforts with AI. Professionals aiming to boost their productivity using AI-driven tools. Beginners with an interest in AI technologies and marketing. Business owners looking to streamline marketing and productivity. Career Path: Digital Marketing Specialist Marketing Automation Expert AI Solutions Specialist Productivity Consultant Marketing Manager

Course Overview The Criminal Psychology and Profiling course offers an insightful exploration into the psychological underpinnings of criminal behaviour and the art of criminal profiling. Learners will develop a strong foundation in understanding the minds of offenders, the impact of mental health disorders, and the various methods used to classify and investigate crime. Through studying forensic science, behavioural analysis, and victimology, participants will be equipped with the theoretical knowledge and analytical techniques needed to interpret criminal behaviour. Upon completion, learners will possess a deeper appreciation of how criminal psychology informs investigative strategies, legal processes, and crime prevention efforts, positioning them for further study or professional growth in this fascinating field. Course Description This course delves into the intricate relationship between psychology and criminal behaviour, offering a comprehensive study of mental disorders, forensic science applications, and profiling methodologies. Learners will examine the classification of crime, the phases of offender profiling, and the importance of victimology within investigations. The course also provides an overview of the criminal justice system in England and Wales, ensuring a contextual understanding of the legal framework surrounding criminal cases. Designed to strengthen analytical and critical thinking abilities, this programme encourages learners to apply logical reasoning and metacognitive strategies to criminal profiling. By the end of the course, participants will have cultivated a well-rounded skill set valuable for careers in criminal psychology, forensic science, and investigative fields. Course Modules Module 01: Understanding Criminal Psychology Module 02: Influence of Mental Disorders Module 03: Classification of Crime Module 04: Forensic Science Module 05: Criminal Profiling: Science, Logic and Metacognition Module 06: Phases of Profiling Module 07: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice Module 08: Victimology Module 09: The Criminal Justice System in England and Wales (See full curriculum) Who is this course for? Individuals seeking to understand criminal behaviour and profiling methods. Professionals aiming to enhance their expertise in psychology, criminology, or investigative roles. Beginners with an interest in forensic psychology, crime analysis, or criminal justice. Anyone aspiring to explore a career pathway in criminal psychology, forensic science, or legal support services. Career Path Criminal Psychologist Forensic Psychologist Behavioural Analyst Crime Analyst Offender Profiler Criminal Investigator Legal Assistant within criminal law practices Victim Support Worker

Course Overview This comprehensive Data Analytics course provides an in-depth exploration of data analysis, covering the essential principles and techniques used to extract valuable insights from data. Learners will engage with core concepts, such as data mining, statistical analysis, and visualisation, enabling them to make informed decisions and drive business outcomes. By the end of the course, participants will have the skills to analyse and interpret data, apply analytical tools effectively, and present their findings clearly. This course equips learners with the necessary tools to understand and leverage data in various professional settings, adding significant value to their career prospects. Course Description The Data Analytics course covers a wide range of topics, including the fundamentals of data analysis, statistical methods, and various data visualisation techniques. Learners will explore essential tools such as Excel and specialised software, while gaining a deep understanding of how to collect, store, and process data effectively. Emphasis is placed on developing the analytical mindset required to interpret data accurately and draw actionable insights. This course is designed to ensure learners can confidently navigate the world of data analytics and apply their knowledge in diverse industries, enhancing their problem-solving and decision-making abilities. Course Modules Module 01: Introduction to the World of Data Module 02: Basics of Data Analytics Module 03: Statistics for Data Analytics Module 04: Actions Taken in the Data Analysis Process Module 05: Gathering the Right Information Module 06: Storing Data Module 07: Data Mining Module 08: Excel for Data Analytics Module 09: Tools for Data Analytics Module 10: Data-Analytic Thinking Module 11: Data Visualisation That Clearly Describes Insights Module 12: Data Visualisation Tools (See full curriculum) Who is this course for? Individuals seeking to enhance their analytical skills for data-driven decision-making. Professionals aiming to transition into data analytics or enhance their data-related roles. Beginners with an interest in understanding data and its applications across industries. Business professionals seeking to leverage data for strategic growth. Career Path Data Analyst Business Intelligence Analyst Data Scientist Market Research Analyst Operations Analyst Financial Analyst Business Analyst Data Visualisation Specialist