1726 Analytics courses in Bradford delivered Online

Duration 4 Days 24 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Describe how Tanzu Kubernetes Grid fits in the VMware Tanzu portfolio Describe the Tanzu Kubernetes Grid architecture Deploy and manage Tanzu Kubernetes Grid management and supervisor clusters Deploy and manage Tanzu Kubernetes Grid workload clusters Deploy, configure, and manage Tanzu Kubernetes Grid packages Perform basic troubleshooting During this four-day course, you focus on installing VMware Tanzu© Kubernetes Grid? in a VMware vSphere© environment and provisioning and managing Tanzu Kubernetes Grid clusters. The course covers how to install Tanzu Kubernetes Grid packages for image registry, authentication, logging, ingress, multipod network interfaces, service discovery, and monitoring. The concepts learned in this course are transferable for users who must install Tanzu Kubernetes Grid on other supported clouds. Course Introduction Introductions and course logistics Course objectives Introducing VMware Tanzu Kubernetes Grid Identify the VMware Tanzu products responsible for Kubernetes life cycle management and describe the main differences between them Explain the core concepts of Tanzu Kubernetes Grid, including bootstrap, Tanzu Kubernetes Grid management, supervisor, and workload clusters List the components of a Tanzu Kubernetes Grid instance VMware Tanzu Kubernetes Grid CLI and API Illustrate how to use the Tanzu CLI Define the Carvel Tool set Define Cluster API Identify the infrastructure providers List the Cluster API controllers Identify the Cluster API custom resource definitions Authentication Explain how Kubernetes manages authentication with Management clusters Explain how Kubernetes manages authentication with supervisor clusters Define Pinniped Define Dex Describe the Pinniped authentication workflow Load Balancers Illustrate how load balancing works for the Kubernetes control plane Illustrate how load balancing works for application workload Explain how Tanzu Kubernetes Grid integrates with VMware NSX Advanced Load Balancer List load balancing options available on public clouds VMware Tanzu Kubernetes Grid on vSphere List the requirements for deploying a supervisor cluster List the steps to install a Tanzu Kubernetes Grid supervisor cluster Summarize the events of a supervisor cluster creation List the requirements for deploying a management cluster List the steps to install a Tanzu Kubernetes Grid management cluster Summarize the events of a management cluster creation Demonstrate how to use commands when working with management clusters VMware Tanzu Kubernetes Grid on Public Clouds List the requirements for deploying a management cluster on AWS and Microsoft Azure List the configuration options to install a Tanzu Kubernetes Grid a management cluster on AWS and Azure Tanzu Kubernetes Workload Clusters List the steps to build a custom image Describe the available customizations Identify the options for deploying Tanzu Kubernetes Grid clusters Explain the difference between the v1alpha3 and v1beta1 APIs Explain how Tanzu Kubernetes Grid clusters are created Discuss which VMs compose a Tanzu Kubernetes Grid cluster List the pods that run on a Tanzu Kubernetes Grid cluster Describe the Tanzu Kubernetes Grid core add-ons that are installed on a cluster Tanzu Kubernetes Grid Packages Define the Tanzu Kubernetes Grid packages Explain the difference between Auto-Managed and CLI-Managed packages Define packages repositories Configuring and Managing Tanzu Kubernetes Grid Operation and Analytics Packages Describe Cert-Manager Describe the Harbor Image Registry Describe Fluent Bit Identify the logs that Fluent Bit collects Explain basic Fluent Bit configuration Describe Prometheus and Grafana Configuring and Managing Tanzu Kubernetes Grid Networking Packages Describe the Contour ingress controller Demonstrate how to install Contour on a Tanzu Kubernetes Grid cluster Describe ExternalDNS Demonstrate how to install Service Discovery with ExternalDNS Describe Multus CNI Tanzu Kubernetes Grid Day 2 Operations List the load balancer configuration options in vSphere to load balance applications Demonstrate how to configure Ingress with the NodePortLocal Mode Explain how to install VMware Tanzu Application Platform Describe life cycle management in Tanzu Kubernetes Grid Explain how backup and restore are implemented in Tanzu Kubernetes Grid Describe Velero and Restic List the steps to back up a Workload cluster using Velero and Restic Troubleshooting Tanzu Kubernetes Grid Discuss the various Tanzu Kubernetes Grid logs Identify the location of Tanzu Kubernetes Grid logs Explain the purpose of crash diagnostics Demonstrate how to check the health of a Tanzu Kubernetes Grid cluster Explain packages cleanup procedures Explain management recovery procedures Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] 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 VMware Tanzu Kubernetes Grid: Install, Configure, Manage [V2.0] 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 Experienced system administrators or network administrators, software and DevOps engineers Overview By the end of the course, you should be able to meet the following objectives: Describe VMware NSX Advanced Load Balancer architecture Describe VMware NSX Advanced Load Balancer components and main functions Explain VMware NSX Advanced Load Balancer key features and benefits Describe and leverage VMware NSX Advanced Load Balancer REST API Describe and leverage VMware NSX Advanced Load Balancer SDKs with extended focus on Python SDK Leverage REST API and SDK features and functions to provision application delivery components Describe and leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations Describe and leverage VMware NSX Advanced Load Balancer Github, Docker (avinetworks/avitools), Ansible Galaxy and other open source resources to accelerate the automation planning and implementation Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to provision infrastructure components Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to automate and streamline application delivery services provisioning This three-day, fast-paced course provides comprehensive training on how to automate infrastructure and application components of VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key application delivery features of NSX Advanced Load Balancer (Avi Networks) features and functionality offered in VMware NSX Advanced Load Balancer 18.2 release and focuses on how to plan and implement automation of infrastructure and application components leveraging REST API, SDK or automation solutions such as Ansible, Terraform or similar. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases, and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles,Pools and Health Monitors Pools Configuration Concepts Explain and deep dive on Pool configuration options Describe multiple load balancing algorithms Explain multiple Health Monitor types Explain multiple Persistent profiles Explain and configure Pool Groups Leveraging NSX Advanced Load Balancer REST API Explain NSX Advanced Load Balancer automation vision Explain and introduce NSX Advanced Load Balancer REST API Describe NSX Advanced Load Balancer REST API methods and capabilities Describe NSX Advanced Load Balancer REST API session handling properties such authentication, API versioning and tenancy model Deep dive on NSX Advanced Load Balancer REST API Object Model Explain and investigate NSX Advanced Load Balancer REST API leveraging browser and command line utilities Explain and interact with NSX Advanced Load Balancer REST API leveraging browser, Postman and Curl Explain Swagger-based API Documentation Explain and leverage NSX Advanced Load Balancer Inventory API Explain and leverage NSX Advanced Load Balancer methods such as GET, PUT, POST and PATCH and associated queries, filters and parameters Deep dive on NSX Advanced Load Balancer PATCH method Explain and leverage NSX Advanced Load Balancer Analytics API Explain and leverage NSX Advanced Load Balancer MACRO API NSX Advanced Load Balancer Software-Defined Kits (SDKs) and ControlScripts Introduce NSX Advanced Load Balancer SDKs Describe, install and leverage NSX Advanced Load Balancer Python SDK Deep dive on NSX Advanced Load Balancer Python SDK Describe and leverage Golang SDK Leverage NSX Advanced Load Balancer open source resources such as Github, etc to accelerate SDKs adoption Describe NSX Advanced Load Balancer Events and Alerts framework Introduce ControlScripts foundations Leverage ControlScripts to automate configuration changes and alerts remediation Automating NSX Advanced Load Balancer Application Delivery Services with Ansible and Terraform Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision Introduce and explain Ansible foundations Describe Ansible and NSX Advanced Load Balancer Ansible capabilities Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules (avinetworks/avisdk) Deep dive and implement Ansible NSX Advanced Load Balancer Declarative configuration role (avinetworks/aviconfig) Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible playbooks Explain application delivery configuration automation approach and models Apply configuration automation models with Ansible Introduce and explain Terraform foundations Describe Terraform and NSX Advanced Load Balancer Terraform capabilities Deep dive and implement NSX Advanced Load Balancer Terraform Provider Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform plans Apply configuration automation models with Terraform Automating NSX Advanced Load Balancer Infrastructure with Ansible and Terraform Introduce NSX Advanced Load Balancer infrastructure Automation vision Describe infrastructure deployment approach and capabilities Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup Leverage Terraform to provision Cloud, Service Engine Groups and Service Engine components Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups and Service Engine components Describe and implement combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment

Digital Product Management Course Overview: The Digital Product Management course is designed to provide learners with a comprehensive understanding of managing digital products throughout their lifecycle. Covering key areas such as market analysis, strategy development, and product marketing, this course equips learners with essential skills to succeed in the fast-paced digital landscape. It explores core concepts of product management, offering a thorough introduction to the tools and processes involved in delivering successful digital products. Learners will gain the knowledge necessary to effectively manage a digital product from conception to launch, ultimately enhancing their career prospects in digital product management. Course Description: This course dives deep into the intricacies of digital product management, beginning with the basics and progressing through advanced concepts. Learners will explore market research, customer analysis, and strategy formulation to ensure product success. Modules also cover the creation of product roadmaps, understanding different development methodologies, and the use of analytics to measure product performance. Legal considerations and marketing strategies are also key components, offering a well-rounded understanding of the product management process. By the end of the course, learners will have the expertise needed to manage a digital product from ideation to its eventual market entry and beyond. Digital Product Management Curriculum: Module 01: Basics of Digital Product Management Module 02: Understanding Market and Customers Module 03: Strategy Development Module 04: Roadmap Module 05: Development Methodologies Module 06: Analytics and Metrics Module 07: Marketing Module 08: Legal Aspects (See full curriculum) Who is this course for? Individuals seeking to build a career in digital product management. Professionals aiming to enhance their product management skills. Beginners with an interest in managing digital products or services. Those looking to transition into a digital-focused career. Career Path: Digital Product Manager Product Development Manager Digital Marketing Specialist Project Manager in Tech Companies Product Strategist E-commerce Manager

Let's learn the basic concepts for developing chatbots with machine learning models. This compact course will help you learn to use the power of Python to evaluate your chatbot datasets based on conversational notes, online resources, and websites. Garner hands-on practice in text generation with Python for chatbot development.

Limited Time Offer | 11-in-1 Bundle | CPD QS Certified | 110 CPD Points | Gifts: Hard Copy + PDF Certificates + Student ID Card | Lifetime Access | Cutomer Support | Enrol Now

Overview Are you ready to dive into data analysis and unlock valuable insights that can drive business growth? Introduction to Data Analysis is a comprehensive course designed to provide learners with a solid foundation in the principles and techniques of data analysis. This course will equip you with the essential skills and knowledge to thrive in data analysis. With a comprehensive curriculum spanning 22 modules, you will delve deep into the world of data, from understanding its fundamentals to harnessing it for meaningful insights. Our expertly crafted curriculum covers data collection, process management, statistical tools, control charts, and strategies to deal with variation.Enrol today in this Introduction to Data Analysis course to succeed in all areas of your life. Let your skill become your greatest asset! Key Features of the Course This course equips learners with the essential tools and knowledge to analyse and interpret data accurately. The course is accredited, ensuring its recognition and credibility within the professional community. Learners will have access to 24/7 learning assistance, allowing them to seek guidance and support whenever needed. Who is This course for? This Introduction to Data Analysis course is suitable for students & professionals from various fields, including business, finance, marketing, healthcare, and more. It is also beneficial for individuals looking to enhance their data analysis skills for personal or professional development. What You Will Learn Throughout the course, you will delve into various modules that cover essential concepts and tools for data analysis. Starting with an introduction to process management principles, you will progress through topics such as the voice of the process, customer feedback analysis, and data visualisation using tools like Pareto charts, histograms, and run charts. You will also gain a deep understanding of variation and control charts and learn how to interpret and use them effectively for process improvement. By the end of the course, learners will have a solid understanding of these topics and be able to apply their knowledge to real-world data analysis scenarios. Why Enrol in This Course Data analysis is one of the most sought-after skills in today's job market. According to LinkedIn, data analysis is among the top 10 most in-demand skills for 2023. Data analysis can help you: Improve your decision-making skills and confidence Enhance your problem-solving and critical-thinking abilities Boost your creativity and innovation potential Increase your productivity and efficiency Advance your career and create earning potential Requirements There are no specific prerequisites for this course. However, a basic understanding of mathematics and statistics will be beneficial. Access to a computer with an internet connection is also required to complete the course. Career Path Completing this Introduction to Data Analysis course can lead to various career opportunities in data analysis. Some of the course-related professions in the UK, along with their average salaries, include: Data Analyst (£35,000 - £45,000 per year) Business Analyst (£40,000 - £55,000 per year) Financial Analyst (£40,000 - £60,000 per year) Market Research Analyst (£25,000 - £40,000 per year) Operations Analyst (£35,000 - £50,000 per year) Healthcare Data Analyst (£35,000 - £50,000 per year) Quality Control Analyst (£25,000 - £35,000 per year) Certification Upon successful completion of the course, learners will receive a CPD certificate, validating their achievement and demonstrating their commitment to professional development in the field of data analysis. Course Curriculum 3 sections • 24 lectures • 02:13:00 total length •Module 01: Introduction: 00:02:00 •Module 02: Agenda and Principles of Process Management: 00:06:00 •Module 03: The Voice of the Process: 00:05:00 •Module 04: Working as One Team for Improvement: 00:04:00 •Module 05: Exercise: The Voice of the Customer: 00:03:00 •Module 06: Tools for Data Analysis: 00:07:00 •Module 07: The Pareto Chart: 00:03:00 •Module 08: The Histogram: 00:03:00 •Module 09: The Run Chart: 00:04:00 •Module 10: Exercise: Presenting Performance Data: 00:05:00 •Module 11: Understanding Variation: 00:06:00 •Module 12: The Control Chart: 00:06:00 •Module 13: Control Chart Example: 00:04:00 •Module 14: Control Chart Special Cases: 00:06:00 •Module 15: Interpreting the Control Chart: 00:10:00 •Module 16: Control Chart Exercise: 00:07:00 •Module 17: Strategies to Deal with Variation: 00:06:00 •Module 18: Using Data to Drive Improvement: 00:14:00 •Module 19: A Structure for Performance Measurement: 00:06:00 •Module 20: Data Analysis Exercise: 00:06:00 •Module 21: Course Project: 00:03:00 •Module 22: Test your Understanding: 00:17:00 •Resources - Introduction to Data Analysis: 00:00:00 •Assignment - Introduction to Data Analysis: 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Internet of Things (IoT) Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Internet of Things (IoT) Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Internet of Things (IoT) Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Internet of Things (IoT) Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Internet of Things (IoT)? 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 Internet of Things (IoT) 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 Internet of Things (IoT) course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Internet of Things (IoT) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Internet of Things (IoT) 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Internet of Things (IoT) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Agenda Module 01: Introduction 00:02:00 Module 02: Course Agenda 00:03:00 Unit 01: Introduction Module 01: Introduction to Internet of Things 00:13:00 Module 02: Choosing Cloud Services for IoT 00:05:00 Module 03: What is Raspberry Pi Part 1? 00:09:00 Module 04: What is Raspberry Pi Part 2? 00:06:00 Unit 02: Raspberry Pi Installation Module 01: Downloading OS for Raspberry Pi Noobs-Raspbian 00:07:00 Module 02: Install OS using NOOBS 00:11:00 Module 03: Remote Control of Raspberry Pi Using VNC Viewer 00:10:00 Module 04: Install OS using Raspbian Image part 1 00:06:00 Module 05: Install OS using Raspbian Image part 2 00:02:00 Unit 03: Getting Around Raspberry Pi Module 01: Getting Around Raspbian Operating System part 1 00:10:00 Module 02: Getting around Raspbian Operating System part 2 00:08:00 Module 03: Getting around Raspbian Operating System part 3 00:06:00 Module 04: How To Run Python program On Raspberry Pi 00:09:00 Unit 04: Raspberry Pi GPIO Output Module 01: Raspberry PI GPIO Concepts 00:07:00 Module 02: Raspberry Pi GPIO Interfacing Single LED 00:17:00 Module 03: Raspberry Pi GPIO Interfacing Multiple LED's 00:09:00 Module 04: Rapberry Pi GPIO Interfacing Buzzer 00:03:00 Unit 05: Output from Raspberry Pi Module 01: Raspberry Pi and Transistorized Switching 00:09:00 Module 02: Raspberry Pi and Relay part 1 00:13:00 Module 03: Raspberry Pi and Relay part 2 00:08:00 Unit 06: Inputs to Raspberry Pi Module 01: Accepting Digital Input on Raspberry Pi Part 1 00:13:00 Module 02: Accepting Digital Inputs on Raspberry Pi Part 2 00:07:00 Unit 07: Sensor Interfacing Module 01: Sensor Interfacing With Raspberry Pi LDR1 00:05:00 Module 02: Sensor Interfacing With Raspberry Pi LDR 2 00:10:00 Module 03: Sensor Interfacing With Raspberry Pi LDR 3 00:07:00 Module 04: Sensor Interfacing with Rapberry Pi DHTT11 part 1 00:10:00 Module 05: Sensor Interfacing with Rapberry Pi DHTT11 part 2 00:10:00 Module 06: Sensor Interfacing with Raspberry pi Using SenseHAT 00:11:00 Module 07: Ultrasonic Sensor Interfacing with Raspberry Pi 00:14:00 Unit 08: Interfacing of I2C Based BMP180 Sensor with Raspberry Pi Module 01: BMP180 with Raspberry Pi 00:07:00 Module 02: Enabling I2C on Raspberry Pi 00:05:00 Module 03: BMP180 Python Code 00:06:00 Unit 09: Internet of Things with Microsoft Azure Module 01: Getting Started With IoT 00:11:00 Module 02: Getting Started with Microsoft Azure IoT Hub Part 1 00:04:00 Module 03: Getting Started with Microsoft Azure IoT Hub Part 2 00:05:00 Module 04: Getting Started with Microsoft Azure IoT Hub Part 3 00:09:00 Module 05: Create Device inside Azure IoT Hub 00:06:00 Module 06: Enable Azure Cloud Shell and enable IoT Extension 00:08:00 Module 07: Send Data to Azure IoT Hub Using Python Program 00:09:00 Module 08: Send Actual Temperature and Humidity Values to Azure IoT hub 00:03:00 Module 09: Storing the Data on Microsoft Azure Using Custom Gateway 00:13:00 Module 10: Save data to blob storage using Stream Analytics Job 00:12:00 Module 11: Data Visualization with Power BI Part 1 00:07:00 Module 12: Data Visualization with Power BI Part 2 00:12:00 Module 13: Creating Custom web app with azure for data visualization Part 1 00:10:00 Module 14: Creating Custom web app with azure for data visualization Part 2 00:14:00 Module 15: Creating Custom web app with azure for data visualization Part 3 00:12:00 Module 16: Dealing with password error while pushing your webapp to azure 00:01:00 Module 17: Cleaning up Azure Resources 00:02:00 Module 18: Remote Monitoring using Azure Logic App Part 1 00:12:00 Module 19: Remote Monitoring using Azure Logic App Part 2 00:10:00 Unit 10: IoT with Thingspeak Module 01: Introduction to Thingspeak 00:06:00 Module 02: Create an account and send data to Thingspeak 00:08:00 Unit 11: Learn a new platform, Adafruit IO Module 01: Getting started with SaaS IoT Platform io.adafruit.com 00:08:00 Module 02: What is MQTT? 00:10:00 Module 03: Sending Data to Adafruit Io Using MQTT Part 1 00:17:00 Module 04: Sending Data to Adafruit io Using MQTT part 2 00:14:00 Module 05: Home automation project with adafruit IO Part 1 00:15:00 Module 06: Home Automation Project with Adafruit IO Part 2 00:02:00 Unit 12: IOT Security Module 01: IoT Security 00:14:00 Module 02: Conclusion 00:01:00 Assignment Assignment - Internet of Things (IoT) 00:00:00

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Step into the dynamic realm of process planning, where business, operations, and people unite to achieve stellar outcomes. This course lights the path!

Enrich your data analysis skills with this premium, comprehensive course. Learn about variation, performance data presentation, process management, and more. Start now!