2297 Learning & Development courses in Liverpool delivered Online

Blending Concepts for Success Have you ever finished a Release Planning Meeting thinking everyone understood the features to be built but found out halfway through the third (3) sprint that was not the case? Clearly understood Stories is key to building a solid sprint. Blending Lean UX with Agile Scrum will provide usable techniques to enhance clarity so Agile teams can select stories they understand. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Why Agile Will Change Your Organization's DNA Did you ever try to implement a strategy towards empowerment, transparency, collaboration and efficiency? Did you write it into your strategy and nice PowerPoints? Did you host management presentations, write articles and maybe even roll-out your new strategy through some management workshops and dialogues? ... all to have absolutely nothing change at the receiving end of your organization? Well, you have heard it before - culture eats strategy for breakfast. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Scaling to Enterprise Agile Development and Systems Engineering The need to be agile and cost-effective has been intensified by growing global competition, continuous innovation in technology, and incredibly short time-to-market requirements. Organizations are scrambling to become lean and agile to meet changing customer needs and expectations, and efficiently producing high-quality products, services, and solutions for large-scale enterprise development. This presentation will focus on systems engineering principles and enterprise agile methodologies that support large scale agile development. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Scaling to Enterprise Agile Development and Systems Engineering The need to be agile and cost-effective has been intensified by growing global competition, continuous innovation in technology, and incredibly short time-to-market requirements. Organizations are scrambling to become lean and agile to meet changing customer needs and expectations, and efficiently producing high-quality products, services, and solutions for large-scale enterprise development. This presentation will focus on systems engineering principles and enterprise agile methodologies that support large scale agile development. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Why Agile Will Change Your Organization's DNA Did you ever try to implement a strategy towards empowerment, transparency, collaboration and efficiency? Did you write it into your strategy and nice PowerPoints? Did you host management presentations, write articles and maybe even roll-out your new strategy through some management workshops and dialogues? ... all to have absolutely nothing change at the receiving end of your organization? Well, you have heard it before - culture eats strategy for breakfast. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

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

In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Machine Learning Project - Auto Image Captioning for Social Media will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Machine Learning Project - Auto Image Captioning for Social Media will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Machine Learning Project - Auto Image Captioning for Social Media and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Machine Learning Project - Auto Image Captioning for Social Media is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Machine Learning Project - Auto Image Captioning for Social Media. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate 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 The Machine Learning Project - Auto Image Captioning for Social Media will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Section 01: Introduction Introduction to Course 00:05:00 Section 02: Building the Auto Image Captioning Import the Libraries 00:09:00 Accessing the Caption Dataset for Training 00:05:00 Accessing the Image DataSet for Training 00:02:00 Preprocessing the Text Data 00:11:00 Pre-Process and Load Captions Data 00:11:00 Loading the Captions for Training and Test Data 00:04:00 Preprocessing of Image Data 00:11:00 Loading Features for Train and Test Dataset 00:09:00 Text Tokenization and Sequence Text 00:11:00 Data Generators 00:11:00 Define the Model 00:03:00 Evaluation of Model 00:09:00 Test the Model 00:08:00 Section 03: Deployment of Machine Learning App Create Streamlit App 00:10:00 Streamlit Prediction 00:06:00 Test Streamlit App 00:03:00 Deploy Streamlit on AWS EC2 Instance 00:09:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

To become an efficient manager, you need a great command in leadership qualities. As much as you are influential in leadership qualities, your managerial success will become so high. However, if you wish to make your managerial career far better implementing efficient leadership quality, take a look at our accredited well designed The Manager: Management and Leadership Development course. The course is designed to teach you all the process and procedures of manager step by step. Following that, the modules of the course instruct you how to make a plan, execute the plan, take a decision, meet different challenges, solve problems, and evaluate and measure the performance efficiently. Overall, the course assists to enhance your knowledge, skill, and information regarding management and leadership to become expert in this role. Who is this course for? The Manager: Management and Leadership Development is suitable for anyone who wants to gain extensive knowledge, potential experience, and professional skills in the related field. This course is CPD accredited so you don't have to worry about the quality. Requirements Our The Manager: Management and Leadership Development is open to all from all academic backgrounds and there are no specific requirements to attend this course. It is compatible and accessible from any device including Windows, Mac, Android, iOS, Tablets etc. CPD Certificate 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 This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Management and Leadership Development Module One - Getting Started 01:00:00 Module Two - Grooming a New Manager 01:00:00 Module Three - Coaching and Mentoring (I) 01:00:00 Module Four - Coaching and Mentoring (II) 01:00:00 Module Five - Measuring Performance 01:00:00 Module Six - Motivating Managers 01:00:00 Module Seven - Signs of Poor Management 01:00:00 Module Eight - Trust Your Team of Managers 01:00:00 Module Nine - When an Employee Complains About Their Manager 01:00:00 Module Ten - When Do You Step In 00:30:00 Module Eleven - Remember These Basic Qualities 01:30:00 Module Twelve - Wrapping Up 01:00:00 Business Management Designing Your Organisational Structure 00:30:00 Introduction to Operations Management 00:15:00 Understanding Financial Terms 00:30:00 Getting the Right People in Place 00:15:00 Getting Your Product Together 00:15:00 Building a Corporate Brand 00:30:00 Marketing Your Product 01:00:00 Selling Your Product 00:15:00 Planning for the Future 00:15:00 Goal Setting and Goal Getting 00:30:00 Succession Planning 101 00:15:00 Managing Your Money 00:15:00 Ethics 101 00:15:00 Building a Strong Customer Care Team 00:15:00 Training Employees for Success 00:15:00 Leadership Essentials 00:15:00 Business Leadership About the Learning Organization 00:15:00 Achieving Personal Mastery 00:15:00 Analyzing Our Mental Models 00:30:00 Achieving a Shared Vision 00:15:00 Team Learning 00:15:00 Systems Thinking 00:15:00 Five Practices 00:15:00 Building Trust 00:15:00 Managing Change 00:30:00 Managers vs. Leaders 00:15:00 Influence Strategies 00:15:00 Managing Relationships 01:00:00 Strategic Planning 00:00:00 Doing Delegation Right 00:15:00 Criteria for Useful Feedback 00:15:00 Feedback Techniques 00:15:00 Mastering Your Body Language 00:15:00 Meeting Management 00:30:00 Pumping up a Presentation 00:15:00 Employee Accountability Defining Accountability 00:30:00 Creating an Accountable Organization 00:30:00 Setting Goals and Expectations 00:30:00 Doing Delegation Right 00:45:00 Offering Feedback 00:15:00 Activities The Manager: Management and Leadership Development - Activities 00:00:00 Mock Exam Mock Exam - The Manager: Management and Leadership Development 00:20:00 Final Exam Final Exam - The Manager: Management and Leadership Development 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00