3114 Management courses in London delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

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Duration 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

GLA Tutors: Empowering Young Minds in Computer Coding At GLA Tutors, we are passionate about equipping children with the essential skills needed to thrive in today's digital world. Our tutoring website offers a comprehensive and engaging learning experience for children who are eager to explore the exciting world of computer coding. With our online tutoring services, we strive to make coding education accessible and convenient for children of all ages. Our team of expert tutors are highly skilled in teaching computer coding concepts in a fun and interactive manner. They have a deep understanding of various programming languages and frameworks, ensuring that students receive top-notch instruction tailored to their individual needs and skill levels. Our provision for tutoring computer coding to children is designed to foster creativity, problem-solving skills, and logical thinking. Through our carefully curated curriculum, we introduce young learners to the fundamentals of coding, including algorithms, variables, loops, conditionals, and more. We believe in a hands-on approach, allowing students to actively apply what they learn through practical coding exercises and projects. At GLA Tutors, we understand that each child has their own unique learning style and pace. That's why our tutors provide personalized attention to every student, offering guidance and support every step of the way. Whether your child is a beginner or has some coding experience, we have tailored programs to suit their specific needs and help them progress confidently.

Computer Science GCSE Syllabus The GCSE Computer Science Tutor Syllabus is designed to provide tutors in England with a comprehensive framework for teaching the GCSE Computer Science curriculum effectively. This syllabus aims to equip tutors with the necessary knowledge and skills to support students in their understanding and application of core computer science concepts.  Module 1: Introduction to Computer Science - Overview of computer science and its relevance in today's world - Understanding the components of a computer system - Introduction to algorithms and problem-solving techniques - Exploration of programming languages and their uses Module 2: Computer Hardware - Understanding the main components of a computer system, including CPU, memory, and storage devices - Exploring input and output devices and their functionalities - Understanding the role of operating systems and software in computer systems Module 3: Software Development - Introduction to programming concepts and languages (e.g., Python or Java) - Understanding variables, data types, and operators - Building algorithms and logical reasoning skills - Introduction to flowcharts and pseudocode - Implementation of simple programs and debugging techniques Module 4: Data Representation - Understanding binary, hexadecimal, and denary number systems - Representation of text, images, and sound using binary - Introduction to data compression and encryption techniques Module 5: Computer Networks - Understanding the basics of computer networks, including LAN, WAN, and the Internet - Introduction to network topologies, protocols, and security - Exploring the impact of digital communication on society Module 6: Cybersecurity and Ethical Issues - Understanding the importance of cybersecurity and data protection - Introduction to common threats and vulnerabilities - Exploring ethical issues related to computer science, such as privacy and intellectual property rights Module 7: Algorithms and Programming Techniques - Advanced programming concepts, including conditionals, loops, and functions - Introduction to sorting and searching algorithms - Exploring data structures, such as arrays and lists Module 8: System Architecture - Understanding the structure and function of a CPU - Introduction to memory hierarchy and cache - Exploring the Von Neumann architecture and its limitations Module 9: Computational Thinking and Problem Solving - Advanced problem-solving techniques using computational thinking - Introduction to algorithms for complex problems - Exploring algorithmic efficiency and optimization techniques Module 10: Exam Preparation and Revision - Reviewing key concepts covered throughout the syllabus - Practicing past exam questions and providing guidance on exam techniques - Supporting students with exam preparation strategies Please note that the duration and depth of each module can vary depending on the level of expertise required and the specific needs of the learners. Additionally, it's important to adapt the curriculum to the learners' proficiency levels, whether they are A Level/GCSE students or adult learners with different experience levels.

Overview 1 day course to gain real insight into the Solvency 2 balance sheet dynamics, both under standard formula and our illustrative internal model Who the course is for Capital management / ALM / risk management staff within insurance company Investors in insurance company securities – equity, subordinated bonds, insurance-linked securities Salespeople covering insurance companies Course Content To learn more about the day by day course content please request a brochure To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Duration 5 Days 30 CPD hours This course is intended for Although there are no mandatory prerequisites, the course is particularly suited for the following audiences: Cybersecurity engineer Cybersecurity investigator Incident manager Incident responder Network engineer SOC analysts currently functioning at entry level with 2+ years of experience Overview After taking this course, you should be able to: Describe the types of service coverage within a SOC and operational responsibilities associated with each. Compare security operations considerations of cloud platforms. Describe the general methodologies of SOC platforms development, management, and automation. Explain asset segmentation, segregation, network segmentation, micro-segmentation, and approaches to each, as part of asset controls and protections. Describe Zero Trust and associated approaches, as part of asset controls and protections. Perform incident investigations using Security Information and Event Management (SIEM) and/or security orchestration and automation (SOAR) in the SOC. Use different types of core security technology platforms for security monitoring, investigation, and response. Describe the DevOps and SecDevOps processes. Explain the common data formats, for example, JavaScript Object Notation (JSON), HTML, XML, CommaSeparated Values (CSV). Describe API authentication mechanisms. Analyze the approach and strategies of threat detection, during monitoring, investigation, and response. Determine known Indicators of Compromise (IOCs) and Indicators of Attack (IOAs). Interpret the sequence of events during an attack based on analysis of traffic patterns. Describe the different security tools and their limitations for network analysis (for example, packet capture tools, traffic analysis tools, network log analysis tools). Analyze anomalous user and entity behavior (UEBA). Perform proactive threat hunting following best practices. The Performing CyberOps Using Cisco Security Technologies (CBRCOR) v1.0 course guides you through cybersecurity fundamentals and prepares you for the role of Information Security Analyst on a Security Operations Center team. You?ll learn to automate for security using cloud platforms and how to apply your knowledge to real-world scenarios Course Outline Understanding Risk Management and SOC Operations Understanding Analytical Processes and Playbooks Investigating Packet Captures, Logs, and Traffic Analysis Investigating Endpoint and Appliance Logs Understanding Cloud Service Model Security Responsibilities Understanding Enterprise Environment Assets Threat Tuning Threat Researching and Threat Intelligence Practices Understanding APIs Understanding SOC Development and Deployment Models Performing Security Analytics and Reports in a SOC Malware Forensics Basics Threat Hunting Basics Additional course details: Nexus Humans Cisco Performing CyberOps Using Cisco Security Technologies (CBRCOR) v1.0 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 Cisco Performing CyberOps Using Cisco Security Technologies (CBRCOR) v1.0 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.

Duration 3 Days 18 CPD hours This course is intended for Network designers Network managers System engineers Overview After taking this course, you should be able to: Review the Cisco Catalyst 9000 Series Switches identify the switches' features and examine the functionalities purpose-built for Cisco DNA and the SD-Access solution. Describe the Cisco Catalyst 9200 Series Switch architecture, model types, port types, uplink modules, components including power supplies, and other switch features and capabilities. Describe the Cisco Catalyst 9300 Series Switch architecture, model types, port types, uplink modules, and components, including power supplies and stacking cables. Describe the Cisco Catalyst 9400 Series Switches, different modular chassis, supervisor and line card options, architectural components, uplink, and power redundancy, and Multigigabit ports Describe the Cisco Catalyst 9500 Series Switches, model types, switch components, RFID support, architecture, and switch profiles. Describe the Cisco Catalyst 9600 Series Switch architecture, supervisor and line card options, and high availability features. Position the different Cisco Catalyst 9000 Series Switch model types in the network, and map older Cisco Catalyst switches to the 9000 family for migration. Examine management capabilities of the Cisco Catalyst 9000 Series Switches. Describe the Cisco Catalyst 9000 Series Switches deployed in a Cisco StackWise Virtual environment and an SD-Access fabric. Describe the new Cisco IOS XE software management, patchability, and Graceful Insertion and Removal (GIR) features on the Cisco Catalyst 9000 Series Switches. Describe the ThousandEyes Enterprise Agent using the Docker environment on the Cisco Catalyst 9000 Series switches. Describe the scalability and performance features supported by the Cisco Catalyst 9000 Series Switches. Describe the Cisco Catalyst 9000 Series Switch support for security, Quality of Service (QoS), and Internet of Things (IoT) convergence features. Describe the Cisco Catalyst 9000 Series support for cloud hosting and connectivity, along with automation features. Explore the SD-Access solution fundamentals, deployment models for the Cisco Catalyst 9000 Series Switch, and the use of Cisco DNA Center to manage infrastructure devices. The Implementing Cisco Catalyst 9000 Switches (ENC9K) v3.0 course introduces you to the architecture, capabilities, and implementation of the Cisco© Catalyst© 9000 switching platform. This hands-on course covers many features of this Cisco IOS© XE platform and describes how to manage devices from a single dashboard called Cisco DNA Center?. You will learn how to use the Cisco Catalyst 9000 family of switches to enable Software Defined Access (SD-Access) and provide end-to-end security and automation with centralized management using Cisco DNA Center. Course Outline Introducing the Cisco Catalyst 9000 Series Switches Introducing Cisco Catalyst 9200 Series Switches Introducing Cisco Catalyst 9300 Series Switches Introducing Cisco Catalyst 9400 Series Switches Introducing Cisco Catalyst 9500 Series Switches Introducing Cisco Catalyst 9600 Series Switches Positioning Cisco Catalyst 9000 Series Switches Examining the Cisco Catalyst 9000 Series Switches Management Capabilities Describing New Features on Cisco Catalyst 9000 Series Switches Describing Scale and Performance Features on Cisco Catalyst 9000 Series Switches Describing Security, QoS, and IoT Convergence Features on Cisco Catalyst 9000 Series Switches Describing Cloud and Automation Features on Cisco Catalyst 9000 Series Switches Describing Cisco SD-Access Solution and Cisco Catalyst 9000 Series Switches Additional course details: Nexus Humans Cisco Implementing Cisco Catalyst 9000 Series Switches v3.0 (ENC9K) 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 Cisco Implementing Cisco Catalyst 9000 Series Switches v3.0 (ENC9K) 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.

Duration 3 Days 18 CPD hours This course is intended for System integrators, Consultants, Solution architects Overview By the end of the course, you should be able to meet the following objectives: Create a vSphere design given a case study Identify and assess the business objectives of the vSphere environment Identify business requirements, constraints, assumptions, and risks, for all layers in the vSphere environment Apply a framework to a design Analyze design choices for vCenter, ESXi, storage, networking, vSphere clusters, and virtual machines Identify design decisions to ensure manageability, which include scalability, capacity planning and lifecycle management Identify design decisions to ensure that the vSphere environment is highly available Identify design decisions to ensure that the vSphere environment performs well Identify design decisions to ensure that the vSphere environment is secure Identify design decisions to ensure that the vSphere environment can recover from data loss or disaster This three-day course equips you with the knowledge, skills, and abilities to design a VMware vSphere 8 virtual infrastructure. You follow a proven approach to design a virtualization solution that ensures availability, manageability, performance, recoverability, and security. The approach presented follows VMware best practices. This course discusses the benefits and risks of available design alternatives and provides information to support making sound design decisions. Course Introduction Introductions and course logistics Course objectives Infrastructure Assessment Describe various design framework principles Follow a proven process to design a virtualization solution Define customer business objectives and requirements Use a systematic method to evaluate and document a conceptual model Create a logical design from a conceptual model Recognize key information contained in the physical design Designing for Manageability: Capacity Planning Make capacity planning design decisions that adhere to business requirements Design capacity planning strategies that meet the needs of the vSphere environment and follow VMware best practices Calculate compute and storage requirements for the VMs in the vSphere environment Designing for Manageability: Scalability Make scalability design decisions that adhere to business requirements Design scalability strategies that meet the needs of the vSphere environment and follow VMware best practices Designing for Manageability: Lifecycle Management Make lifecycle management design decisions that adhere to business requirements Design lifecycle management strategies that meet the needs of the vSphere environment and follow VMware best practices Designing for Availability Make availability design decisions that adhere to business requirements Design availability strategies that meet the needs of the vSphere environment and follow VMware best practices Designing for Performance Make performance design decisions that adhere to business requirements Design performance strategies that meet the needs of the vSphere environment and follow VMware best practices Designing for Security Make security design decisions that adhere to business requirements Design security strategies that meet the needs of the vSphere environment and follow VMware best practices Designing for Recoverability Make recoverability design decisions that adhere to business requirements Design recoverability strategies that meet the needs of the vSphere environment and follow VMware best practices Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSphere: Design [V8] 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 VMware vSphere: Design [V8] 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.