70 Google Cloud courses

Register on the Data Engineering with Google BigQuery & Google Cloud today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Data Engineering with Google BigQuery & Google Cloud is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! WHAT YOU GET WITH THE DATA ENGINEERING WITH GOOGLE BIGQUERY & GOOGLE CLOUD * Receive a e-certificate upon successful completion of the course * Get taught by experienced, professional instructors * Study at a time and pace that suits your learning style * Get instant feedback on assessments  * 24/7 help and advice via email or live chat * Get full tutor support on weekdays (Monday to Friday) COURSE DESIGN The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of * Video lessons * Online study materials CERTIFICATION Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. WHO IS THIS COURSE FOR: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. REQUIREMENTS: The online training is open to all students and has no formal entry requirements. To study the Data Engineering with Google BigQuery & Google Cloud, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. COURSE CONTENT Unit 01: Introduction Module 01: Welcome to This Course 00:01:00 Module 02: How to Get Maximum Value from This Course 00:06:00 Module 03: Course Structure & Coverage 00:02:00 Module 04: Technology in This Course 00:02:00 Unit 02: Introducing Data Warehouse & BigQuery Module 01: Data Warehouse 00:07:00 Module 02: Start With BigQuery 00:05:00 Module 03: BigQuery Web User Interface 00:04:00 Unit 03: First Exploration Module 01: First Data 00:04:00 Module 02: Basic Exploration 00:16:00 Module 03: Functions 00:14:00 Module 04: Common Data Types 00:07:00 Module 05: Different Query 00:01:00 Module 06: Exploring Common Data Types 00:25:00 Module 07: Converting Data Types 00:07:00 Unit 04: Data Flow Basic Module 01: Data Quality 00:06:00 Module 02: Clean & Transform 00:13:00 Module 03: Store Data 00:06:00 Module 04: Upgrading From Sandbox Account 00:01:00 Module 05: Clean & Transform With Dataprep 00:25:00 Module 06: Scheduled Query 00:04:00 Module 07: Analyze Data 00:05:00 Module 08: Data Visualization 00:06:00 Unit 08: Intermediate Query Module 01: Essential BigQuery 00:15:00 Module 02: Load Data into BigQuery (Part 1) - The Basic 00:36:00 Module 03: Tip: Mock Data 00:01:00 Module 04: Load Data into BigQuery (Part 2) - Handling Errors 00:22:00 Module 05: Load Data into BigQuery (Part 3) - Efficient Load 00:14:00 Module 06: Load Data into BigQuery (Part 4) - From Your Data to BigQuery 00:23:00 Module 07: Load Data into BigQuery (Part 5) - In Microservice Architecture 00:20:00 Module 08: Tip: Message Broker Overview 00:08:00 Module 09: Load Data into BigQuery (Part 6) - Recurring Load 00:12:00 Unit 05: Diving into BigQuery Module 01: BigQuery View 00:06:00 Unit 06: Virtual Data using View Module 01: What We Will Learn 00:01:00 Module 02: Google Sheets & BigQuery 00:10:00 Module 03: Google Data Studio 00:13:00 Unit 07: Data Visualization Module 01: Using Join - Theory 00:04:00 Module 02: Using Join - Hands On 00:16:00 Module 03: Union & Intersect 00:06:00 Module 04: Basic Statistical Functions 00:05:00 FREQUENTLY ASKED QUESTIONS Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. INTRODUCTION TO DATA ON THE GOOGLE CLOUD PLATFORM * Highlight Analytics Challenges Faced by Data Analysts * Compare Big Data On-Premises vs on the Cloud * Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud * Navigate Google Cloud Platform Project Basics * Lab: Getting started with Google Cloud Platform BIG DATA TOOLS OVERVIEW * Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools * Demo: Analyze 10 Billion Records with Google BigQuery * Explore 9 Fundamental Google BigQuery Features * Compare GCP Tools for Analysts, Data Scientists, and Data Engineers * Lab: Exploring Datasets with Google BigQuery EXPLORING YOUR DATA WITH SQL * Compare Common Data Exploration Techniques * Learn How to Code High Quality Standard SQL * Explore Google BigQuery Public Datasets * Visualization Preview: Google Data Studio * Lab: Troubleshoot Common SQL Errors GOOGLE BIGQUERY PRICING * Walkthrough of a BigQuery Job * Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs * Optimize Queries for Cost * Lab: Calculate Google BigQuery Pricing CLEANING AND TRANSFORMING YOUR DATA * Examine the 5 Principles of Dataset Integrity * Characterize Dataset Shape and Skew * Clean and Transform Data using SQL * Clean and Transform Data using a new UI: Introducing Cloud Dataprep * Lab: Explore and Shape Data with Cloud Dataprep STORING AND EXPORTING DATA * Compare Permanent vs Temporary Tables * Save and Export Query Results * Performance Preview: Query Cache * Lab: Creating new Permanent Tables INGESTING NEW DATASETS INTO GOOGLE BIGQUERY * Query from External Data Sources * Avoid Data Ingesting Pitfalls * Ingest New Data into Permanent Tables * Discuss Streaming Inserts * Lab: Ingesting and Querying New Datasets DATA VISUALIZATION * Overview of Data Visualization Principles * Exploratory vs Explanatory Analysis Approaches * Demo: Google Data Studio UI * Connect Google Data Studio to Google BigQuery * Lab: Exploring a Dataset in Google Data Studio JOINING AND MERGING DATASETS * Merge Historical Data Tables with UNION * Introduce Table Wildcards for Easy Merges * Review Data Schemas: Linking Data Across Multiple Tables * Walkthrough JOIN Examples and Pitfalls * Lab: Join and Union Data from Multiple Tables ADVANCED FUNCTIONS AND CLAUSES * Review SQL Case Statements * Introduce Analytical Window Functions * Safeguard Data with One-Way Field Encryption * Discuss Effective Sub-query and CTE design * Compare SQL and Javascript UDFs * Lab: Deriving Insights with Advanced SQL Functions SCHEMA DESIGN AND NESTED DATA STRUCTURES * Compare Google BigQuery vs Traditional RDBMS Data Architecture * Normalization vs Denormalization: Performance Tradeoffs * Schema Review: The Good, The Bad, and The Ugly * Arrays and Nested Data in Google BigQuery * Lab: Querying Nested and Repeated Data MORE VISUALIZATION WITH GOOGLE DATA STUDIO * Create Case Statements and Calculated Fields * Avoid Performance Pitfalls with Cache considerations * Share Dashboards and Discuss Data Access considerations OPTIMIZING FOR PERFORMANCE * Avoid Google BigQuery Performance Pitfalls * Prevent Hotspots in your Data * Diagnose Performance Issues with the Query Explanation map * Lab: Optimizing and Troubleshooting Query Performance ADVANCED INSIGHTS * Introducing Cloud Datalab * Cloud Datalab Notebooks and Cells * Benefits of Cloud Datalab DATA ACCESS * Compare IAM and BigQuery Dataset Roles * Avoid Access Pitfalls * Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 1 Days 6 CPD hours This course is intended for Business decision-makers: directors (managers of managers), managers of individual contributors (ICs) or ICs working in non-IT functions/divisions (such as finance, marketing, sales, HR, product design) interested in understanding the applications of Google?s cloud technology for business improvement opportunities and transformational project(s). Through this interactive training, you?ll learn about core cloud business drivers?specifically Google?s cloud?and gain the knowledge/skills to determine if business transformation is right for you and your team, and build short and long-term projects using the ?superpowers? of cloud accordingly. You?ll also find several templates, guides, and resource links through the supplementary student workbook to help you build a custom briefing document to share with your leadership, technical teams or partners. WHY CLOUD TECHNOLOGY IS REVOLUTIONIZING BUSINESS * This module introduces cloud technology as a paradigm shift and explains how it?s irrevocably transforming business globally. It defines the fundamental building blocks of cloud technology?compute power and data?and what they mean for you and your business. And finally, it reveals how these building blocks help to create five superpowers using concrete use cases of their transformative abilities for business, education, and government sectors. FOSTER AN INNOVATION CULTURE * Cloud is not just about a technological transformation; it's a business and cultural transformation, too. This module explores how the superpowers of the cloud are brought to life through people. It looks specifically at how to organically create and scale innovation through culture and business practices. It offers key principles, drawing examples from Google?s success and real world scenarios, that you can apply in your day-to-day operations. DEFINE THE IDEAL BUSINESS TRANSFORMATION CHALLENGE * Previous modules describe the journey with cloud technology to include business and cultural changes as well. This module sets the groundwork to build a transformational solution using cloud technology for your role or your business. This process starts with distinguishing between scaled improvements and transformations. Next, the module demonstrates how to write an ideal challenge question and use insights generated from a data ecosystem to address the challenge. Finally, it introduces a framework that you can use to assess and refine your challenge ideas, preparing you to build a business case in a later module. BUILD TRUST WITH AVAILABILITY, SECURITY, AND COMPLIANCE * This module addresses common concerns about data privacy and security when migrating to the cloud. It defines key terms - privacy, security, compliance, and reliability - and reveals today?s top cybersecurity challenges and threats. It discusses how data security and compliance can be maintained when data is in the cloud, as illustrated by the Shared Responsibility Model. And finally, it uses a concrete example to explain how learners can build a high-level security program in their own organization. BUILD A BUSINESS CASE FOR YOUR TRANSFORMATION CHALLENGE * This module explains how to identify the most transformative solution for your business challenge. It then breaks down steps to achieve the transformational solution through creating smaller projects and plotting them onto a transformation roadmap. It describes how to use the data ecosystem you mapped in a previous module to support your overall project. Finally, it explains step by step how to build a business case and gives tips to help you pitch your project idea to gain buy-in from leadership, teams, and technical partners. ADDITIONAL COURSE DETAILS: Nexus Humans Business Transformation with Google Cloud 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 Business Transformation with Google Cloud 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 1 Days 6 CPD hours This course is intended for This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. INTRODUCING GOOGLE CLOUD PLATFORM * Google Platform Fundamentals Overview. * Google Cloud Platform Big Data Products. * COMPUTE AND STORAGE FUNDAMENTALS * CPUs on demand (Compute Engine). * A global filesystem (Cloud Storage). * CloudShell. * Lab: Set up a Ingest-Transform-Publish data processing pipeline. * DATA ANALYTICS ON THE CLOUD * Stepping-stones to the cloud. * Cloud SQL: your SQL database on the cloud. * Lab: Importing data into CloudSQL and running queries. * Spark on Dataproc. * Lab: Machine Learning Recommendations with Spark on Dataproc. * SCALING DATA ANALYSIS * Fast random access. * Datalab. * BigQuery. * Lab: Build machine learning dataset. * MACHINE LEARNING * Machine Learning with TensorFlow. * Lab: Carry out ML with TensorFlow * Pre-built models for common needs. * Lab: Employ ML APIs. * DATA PROCESSING ARCHITECTURES * Message-oriented architectures with Pub/Sub. * Creating pipelines with Dataflow. * Reference architecture for real-time and batch data processing. * SUMMARY * Why GCP? * Where to go from here * Additional Resources ADDITIONAL COURSE DETAILS: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Google Cloud Platform Big Data and Machine Learning Fundamentals 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 1 Days 6 CPD hours This course is intended for Software developers, system administrators, and IT professionals who are focused on Microsoft Windows Overview Configuring Microsoft Windows and Microsoft SQL Server in Google Compute Engine. Deploying ASP.NET MVC applications to Google Compute Engine. Deploying .NET Core applications to Google Compute Engine, Google Compute Engine, and Google Container Engine Learn how to create Windows virtual machines on Google Cloud so that you can deploy and run Microsoft Windows applications. In this course, you'll learn how to run SQL Server in Compute Engine, how to deploy instances across Google Cloud zones, and how to get more out of ASP.NET on Compute Engine, Google Container Engine, and App Engine. INTRODUCTION TO GOOGLE CLOUD PLATFORM * Scope and structure of GCP. * Options for Windows deployment on GCP. * GCP interfaces. WINDOWS WORKLOADS ON GOOGLE COMPUTE ENGINE * Google Compute Engine virtual machine options. * Integrating Active Directory with Google Compute Engine virtual machines. * Options for running SQL Server in Google Compute Engine. * Configuring SQL Server for high availability. DEVELOPING ASP.NET MVC APPLICATIONS * Model-view-controller structure. * Using Microsoft Visual Studio?s Web Project template to develop in ASP.NET. * Deploying applications to Microsoft Internet Information Server (IIS) in GCE. CONFIGURING RESILIENT WORKLOADS * Deploying instances across GCP zones. * Using instance groups to create pools of virtual machines. * Load balancing Windows applications. DELIVERING NEXT-GENERATION ASP.NET CORE ON GCP * Understanding .NET Core and EF Core. * Options for deploying ASP.NET Core applications on Google Cloud Platform. * Deploying ASP.NET Core applications on Google Compute Engine. * Deploying ASP.NET Core applications on Google Container Engine. * Deploying ASP.NET Core applications on Google App Engine. ADDITIONAL COURSE DETAILS: Nexus Humans Develop and Deploy Windows Applications on Google Cloud Platform 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 Develop and Deploy Windows Applications on Google Cloud Platform 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.

Learn to design, plan, and scale cloud implementations with Google Cloud Platform's BigQuery. This course will walk you through the fundamentals of applied machine learning and BigQuery ML along with its history, architecture, and use cases.

COURSE OVERVIEW Aprende a usar uno de los sistemas de gestión de contenidomás confiables en los servicios de computación en la nube más popular con este curso sobre cómo alojar en Host en Google Cloud para WordPress (Spanish Course). WordPress es la mejor manera de alojar y construir sitios web personalizables para adaptarse a cualquier negocio, blog, cartera o tienda en línea. Google Cloud es el medio perfecto para esta aplicación, y con esta capacitación, se volverá hábil para instalarla y usarla en todo su potencial para sus requisitos en línea. Este curso de Google Cloud proporciona quince módulos educativos que responderán a todas las preguntas técnicas que tenga sobre cómo activar y activar WordPress en línea. Se le mostrarán detalles sobre el uso del dominio, WordPress VM (Máquina virtual), sistemas de nombres, protocolos de seguridad y mucho más. Todo para el desarrollador de sitios web en ciernes se ofrece en esta capacitación de expertos, y podrá alojar su sitio web personal en Google Cloud, ya sea que sea un desarrollador experimentado o no. Este Host en Google Cloud para WordPress (Spanish Course) más vendido ha sido desarrollado por profesionales de la industria y ya lo han completado cientos de estudiantes satisfechos. Este Host en Google Cloud para WordPress (Spanish Course) en profundidad es adecuado para cualquier persona que quiera desarrollar su conjunto de habilidades profesionales y mejorar su conocimiento experto. El Host en Google Cloud para WordPress (Spanish Course) está acreditado por CPD, por lo que puede estar seguro de que está completando un curso de capacitación de calidad que impulsará su CV y ​​mejorará su potencial profesional. El Host en Google Cloud para WordPress (Spanish Course) se compone de varios módulos llenos de información que desglosan cada tema en pequeños fragmentos para garantizar que comprenda y retenga todo lo que aprende. Después de completar con éxito el Host en Google Cloud para WordPress (Spanish Course), se le otorgará un certificado de finalización como prueba de sus nuevas habilidades. Si está buscando seguir una nueva carrera y desea desarrollar sus habilidades profesionales para sobresalir en el campo elegido, el certificado de finalización del Host en Google Cloud para WordPress (Spanish Course) lo ayudará a destacarse entre la multitud. También puede validar su certificación en nuestro sitio web. Sabemos que está ocupado y que el tiempo es valioso, por lo que hemos diseñado el Host en Google Cloud para WordPress (Spanish Course) para que lo complete a su propio ritmo, ya sea a tiempo parcial o completo. Obtenga acceso completo al curso al registrarse y acceda a los materiales del curso desde cualquier parte del mundo, en cualquier momento, desde cualquier dispositivo habilitado para Internet. Nuestros tutores experimentados están aquí para ayudarlo durante todo el proceso de aprendizaje y responder a cualquier consulta que pueda tener por correo electrónico.

  The comprehensive Diploma in Data Engineering with Google BigQuery & Google Cloud has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Diploma in Data Engineering with Google BigQuery & Google Cloud today, and learn from the very best the industry has to offer! This best selling Diploma in Data Engineering with Google BigQuery & Google Cloud has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Diploma in Data Engineering with Google BigQuery & Google Cloud is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Diploma in Data Engineering with Google BigQuery & Google Cloud is CPD-accredited, so you can be confident you're completing a quality training course  will boost your CV and enhance your career potential. The Diploma in Data Engineering with Google BigQuery & Google Cloud is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Diploma in Data Engineering with Google BigQuery & Google Cloud, you will be awarded a certificate of completion  as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Diploma in Data Engineering with Google BigQuery & Google Cloud will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Diploma in Data Engineering with Google BigQuery & Google Cloud to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

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

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost