8847 Courses

In this course, we will master the syntax and structure of RSpec then learn to utilize test-driven development principles to design and implement clean test specs and reduce dependencies in the test suite by mocking objects with class and instance doubles. We will also explore the wide collection of RSpec matches available to test the code.

our career in recruitment with the Recruitment Consultant Level 4 course, and learn the fundamentals of candidate management, the recruitment cycle and client acquisition. In this comprehensive course, you will learn about the role and responsibilities of a recruitment consultant, techniques for attracting the right candidates, strategies for building client relationships and much more. You will familiarise with the screening, selecting, hiring and onboarding processes, the stages of recruitment and UK recruitment law. On course completion, you will have a solid understanding of the recruitment environment and what it takes to make it in this industry, with the skills and practical knowledge to fast track your career. Learning Objectives Gain a solid understanding of the recruitment industry and how it has evolved Familiarise with the different stages of the recruitment cycle Learn about client acquisition, exploring techniques and strategies Explore a wide range of candidate attraction techniques and skills Have a solid understanding of the candidate management and retention process Discover the essential skills and qualities needed to become a successful recruitment consultant Develop your communication, organisation and strategic thinking skills Who is This Course for? The recruitment sector requires motivated individuals who have excellent people and negotiation skills, as well as a solid understanding of the job market. Recruitment consultants must also possess strong sales skills and be self-driven to reach their targets. This Recruitment Consultant Diploma is ideal for those who are new to the industry, or those looking to brush up on their knowledge. As a leading distance learning platform, we offer flexible studying, allowing you to learn in your own time, from the comfort of your own home. Entry Requirement: This course is available to all learners, of all academic backgrounds. Good understanding of English language, numeracy and ICT are required to attend this course. Endorsement This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example, progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Certificate of Achievement Endorsed Certificate of Achievement At the successful completion of the course, the learners can order an endorsed certificate by paying the fee of £88. There is an additional £10 postal charge for international students. Certificate of Completion from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career Path An endorsed certificate of achievement in recruitment consulting will open doors to the following careers: Candidate Manager Recruitment Specialist Trainee Recruitment Consultant In-house Recruiter Recruitment Consultant Senior Recruitment Consultant Principal Consultant Course Curriculum Module 01: Basics of Recruitment Module 01: Basics of Recruitment 00:30:00 Assessment Module 1 Module 01 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 02: History and Development of the Recruitment Industry Module 02: History and Development of the Recruitment Industry 00:25:00 Assessment Module 2 Module 02 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 03: The Worldwide Employment Industry Module 03: The Worldwide Employment Industry 00:25:00 Assessment Module 3 Module 03 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 04: The UK Recruitment Industry Statistics Module 04: The UK Recruitment Industry Statistics 00:15:00 Assessment Module 4 Module 04 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 05: The UK Recruitment Legislations Guide Module 05: The UK Recruitment Legislations Guide 00:10:00 Assessment Module 5 Module 05 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 06: How to Become a Successful Recruitment Consultant Module 06: How to Become a Successful Recruitment Consultant 00:25:00 Assessment Module 6 Module 06 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 07: Overview of the Recruitment Cycle Module 07: Overview of the Recruitment Cycle 00:30:00 Assessment Module 7 Module 07 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 08: Candidate Management Module 08: Candidate Management 01:00:00 Assessment Module 8 Module 08 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 09: Client Acquisition Module 09: Client Acquisition 00:55:00 Assessment Module 9 Module 09 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 10: Recruitment Strategy Module 10: Recruitment Strategy 00:50:00 Assessment Module 10 Module 10 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Module 11: Candidate Attraction Module 11: Candidate Attraction 00:25:00 Assessment Module 11 Module 11 Final Quiz Exam - Recruitment Consultant Level 4 00:10:00 Order Your Certificate Order Your Certificate QLS 00:00:00

If you aim to enhance your Machine Learning & Artificial Intelligence skills, our comprehensive Machine Learning & Artificial Intelligence course is perfect for you. Designed for success, this Machine Learning & Artificial Intelligence course covers everything from basics to advanced topics in Machine Learning & Artificial Intelligence. Each lesson in this Machine Learning & Artificial Intelligence course is crafted for easy understanding, enabling you to become proficient in Machine Learning & Artificial Intelligence. Whether you are a beginner or looking to sharpen your existing skills, this Machine Learning & Artificial Intelligence is the ideal choice. With our Machine Learning & Artificial Intelligence exclusive bundle, you will get a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. Courses are Included in This Machine Learning & Artificial Intelligence Bundle: Course 01: Machine Learning Basics Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Course 03: Machine Learning with Python Course Course 04: Project on Deep Learning - Artificial Neural Network Course 05: Data Science & Machine Learning with R Training Course 06: ChatGPT for Marketing and Productivity with AI Tools Learning Outcomes of this Machine Learning & Artificial Intelligence Understand the foundational concepts of machine learning and its applications. Gain practical experience through hands-on machine learning projects and tools. Master Python programming for effective machine learning applications and tasks. Develop deep learning models using artificial neural networks effectively. Apply data science techniques using R for comprehensive data analysis. Learn to utilise AI tools for marketing and enhancing productivity in business. Why Choose Our Course? FREE Machine Learning & Artificial Intelligence certificate accredited Get a free student ID card with Machine Learning & Artificial Intelligence Training Get instant access to this Machine Learning & Artificial Intelligence course. Learn Machine Learning & Artificial Intelligence from anywhere in the world Machine Learning & Artificial Intelligence is affordable and simple to understand This bundle is an entirely online, interactive lesson with voiceover audio Lifetime access to the Machine Learning & Artificial Intelligence course materials The Machine Learning & Artificial Intelligence comes with 24/7 tutor support So enrol now in this Machine Learning & Artificial Intelligence Today to advance your career! Start your learning journey straightaway with Machine Learning & Artificial Intelligence! This Machine Learning & Artificial Intelligence's curriculum has been designed by Machine Learning & Artificial Intelligence experts with years of Machine Learning & Artificial Intelligence experience behind them. The Machine Learning & Artificial Intelligence course is extremely dynamic and well-paced to help you understand Machine Learning & Artificial Intelligence with ease. You'll discover how to master Machine Learning & Artificial Intelligence skills while exploring relevant and essential topics. *** Course Curriculum *** Course 01: Machine Learning Basics Section 01: Introduction Section 02: Regression Section 03: Predictors Section 04: Minitab Section 05: Regression Trees Section 06: Binary Logistics Regression Section 07: Classification Trees Section 08: Data Cleaning Section 09: Data Models Section 10: Learning Success Course 02: Hands-on Machine Learning Project - Auto Image Captioning for Social Media Section 01: Introduction Section 02: Building the Auto Image Captioning Section 03: Deployment of Machine Learning App Assessment Process of Machine Learning & Artificial Intelligence Once you have completed all the courses in the Machine Learning & Artificial Intelligence bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Machine Learning & Artificial Intelligence bundle is suitable for everyone. Requirements You will not need any prior background or expertise in this Machine Learning & Artificial Intelligence. Career path This Machine Learning & Artificial Intelligence bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - £29 If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate

First aid training courses Liverpool – We make sure that the first aid courses we deliver to you are bespoke and designed to meet your working environment. By making your course specific it creates a very effective training day and engages the delegates attending. We provide affordable first aid courses and consultancy services to businesses, schools, sports associations, and most construction and building sectors in Liverpool and the Merseyside area. Our training consultants are accredited to the highest level to deliver a complete range of Health and Safety courses. For more information on our first aid courses Liverpool, please select from the links below: Anaphylaxis First Aid Training Automated External Defibrillator AED Emergency First Aid at Work EFAW First Aid Annual Refresher First Aid at Work FAW Paediatric First Aid Training 1 Day Paediatric First Aid Training 2 Day Basic Life Support (BLS) Training delivered only by professional training consultants at all times https://www.liverpooltrainingsolutions.uk.com/first-aid-courses-liverpool/ For further support or information on our First aid courses please email us or why not call us on 0151 515 0416 and speak to our experienced and friendly staff.

REFERENCE CODE 601/8331/7 COURSE LEVEL NVQ Level 3 THIS COURSE IS AVAILABLE IN Course Overview This qualification is aimed at those who are involved in installing Rainscreen wall cladding systems and/or roof sheeting and cladding systems that involve curved and complex roof and wall formations in the workplace, working from drawings and specifications. It is not expected that candidates working in this industry all do the same activities or use the same equipment and machinery so the qualification has been developed to make it as widely available as possible by having 2 distinct pathways. All work completed must be carried out in accordance with Building Regulations and Industry recognised safe working practices, including the disposal of waste. The qualification is structured to ensure that there is a high degree of flexibility within the units available and will allow employees from companies of all sizes and specialisms equal opportunity to complete. To provide this opportunity in addition to the relevant mandatory pathway units of installation of the relevant system (roof and wall sheeting and cladding or rainscreen wall cladding systems) , candidates will also be able to select optional units recognising skills including, repair and/or refurbishment of roof sheeting/cladding/rainscreen systems, working with boom and/or scissor type mobile elevating platforms (MEWPs), installing solar collectors, use of ergonomic manipulating machines or slinging/signalling the movement of loads. The standards cover the most important aspects of the job. This qualification is at Level 3, although some units may be at different levels, qualifications at this level are primarily aimed at those who are fully trained and experienced in a wide range of roles that may involve decision making, quality checks, work planning and dealing with non-routine or complex installations. The qualification consists of 3 mandatory units and 2 pathways, Wall sheeting and cladding and Rainscreen Wall Systems. Candidates must achieve the 3 qualification mandatory units plus the required credits from the selected pathway. The minimum credit value of the Wall sheeting and cladding qualification is 132 credits, the minimum credit value of the Rainscreen wall systems qualification is 104 credits.

IATP Asbestos Awareness and Non-Licensed Work with Asbestos (Cat. A and Cat. B). Sit your asbestos awareness (aka Category/Cat. A) and/or working with non-licensable asbestos (aka Cat. B) today!

I am a 48 year old driving instructor, living in Bristol. I have taught all kinds of people to drive…all ages and all abilities, from almost every corner of the Bristol area, and I own the independent driving school, Rick's Driving School Bristol.

Explore ChatGPT, a cutting-edge world of AI content creation, with our comprehensive course. This meticulously curated program unravels the technology behind ChatGPT to practical applications in machine learning, social media, data analysis, and image generation. This course unveils new facets of AI to navigate this evolving landscape with prowess.

Duration 2 Days 12 CPD hours This course is intended for People working in an organization aiming to improve performance, especially in response to digital transformation or disruption. Any roles involved in the creation and delivery of products or services: Leadership and CXO, especially CIO, CTO, CPO, and CVO Transformation and evolution leads and change agents Value stream architects, managers, engineers Scrum Masters, agile and DevOps coaches and facilitators Portfolio, product and project managers, and owners Business analysts Architects, developers, and engineers Release and environment managers IT Ops, service and support desk workers Customer experience and success professionals Overview After completing this course, students will be able to: Describe the origins of value stream management and key concepts such as flow, value, and delivery Describe what value stream management is, why it's needed and the business benefits of its practice Describe how lean, agile, DevOps, and ITSM principles contribute to value stream management Identify and describe value streams, where they start and end, and how they interconnect Identify value stream roles and responsibilities Express value streams visually using mapping techniques, define current and target states and hypothesis backlog Write value stream flow and realization optimization hypotheses and experiments Apply metrics such as touch/processing time, wait/idle time, and cycle time to value streams Understand flow metrics and how to access the data to support data-driven conversations and decisions Examine value realization metrics and aligning to business outcomes, and how to sense and respond to them (outcomes versus outputs) Architect a DevOps toolchain alongside a value stream and data connection points Design a continuous inspection and adaptation approach for organizational evolution The Value Stream Management Foundation course from Value Stream Management Consortium, and offered in partnership with DevOps Institute, is an introductory course taking learners through a value stream management implementation journey. It considers the human, process, and technology aspects of this way of working and explores how optimizing value streams for flow and realization positively impacts organizational performance. History and Evolution of Value Stream Management and its Application Value stream management?s origins Definitions of value stream management Flow Lean and systems thinking and practices Agile, DevOps and other frameworks Research and analysis Identifying Value Streams What is a value stream? Identifying value streams Choosing a value stream Digital value streams Value stream thinking Mapping Value Streams Types of maps Value stream mapping The fuzzy front end Artifacts 10 steps to value stream mapping Mapping and management VSM investment case Limitations of value stream mapping Connecting DevOps Toolchains CICD and the DevOps toolchain Value stream management processes Value stream management platforms DevOps tool categories Building an end-to-end DevOps toolchain Common data model and tools integrations Value Stream Metrics The duality of VSM Downtime in technology Lean, DORA and Flow metrics Definition of Done Value metrics Benefits hypotheses Value streams as profit centers KPIs and OKRs Inspecting the Value Stream 3 Pillars of Empiricism Organizational performance Visibility When to inspect Data and discovery Insights and trends Organizing as Value Streams Value stream alignment Team types and topologies Project to product Hierarchy to autonomy Target Operating Model Value stream people Value stream roles Value stream funding Evolving Value Streams Why now? Transitions VSM capability matrix VSM culture iceberg Learning Making local discoveries global improvements Managing value stream interdependencies

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice