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

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

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

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

Free Level 7 QLS Endorsed Certificate | CPD & CiQ Accredited | Audio Visual Training | Lifetime Access

***24 Hour Limited Time Flash Sale*** Business Studies for Transport Manager Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Business Studies for Transport Manager Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Business Studies for Transport Manager bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Business Studies for Transport Manager Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Business Studies for Transport Manager Career Bundle: Course 01: Transport Manager: Successful Transport Management Course 02: Certificate in Business Studies Course 03: Business Strategy Planning Masterclass Course 04: Business Management and Finance Course Course 05: Business Development Fundamentals: Lean Strategies for Business Course 06: Business Performance Management Course 07: Transport Planning Course 08: Import/Export Course 09: Supply Chain Management Course 10: Quality Management Course 11: Stakeholder Management Course 12: Financial Management Course 13: Warehouse Management Course 14: Inventory Management Course 15: Material Management Course 16: Delivery Manager Course 17: Forklift Training Course 18: Freight Consultant Master Class Course 19: Rail Training Essentials Course 20: Certificate in Purchasing and Procurement Course 21: Operations Management: Enterprise Resource Planning Course 22: Management Skills for New Managers Course 23: Operations Management Course 24: Driver Safety Awareness Certificate - CPD Certified Course 25: Car Mechanic and Repair Training Course 26: Online Workplace First Aid Level 3 Course Course 27: Warehouse Safety Course 28: Manual Handling Training Course 29: Working in Confined Spaces Course 30: Workplace Stress Management With Business Studies for Transport Manager, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Don't let this opportunity pass you by. Enrol in Business Studies for Transport Manager today and take the first step towards achieving your goals and dreams. Why buy this Business Studies for Transport Manager? Free CPD Accredited Certificate upon completion of Business Studies for Transport Manager Get a free student ID card with Business Studies for Transport Manager Lifetime access to the Business Studies for Transport Manager course materials Get instant access to this Business Studies for Transport Manager course Learn Business Studies for Transport Manager from anywhere in the world 24/7 tutor support with the Business Studies for Transport Manager course. Start your learning journey straightaway with our Business Studies for Transport Manager Training! Business Studies for Transport Manager premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Business Studies for Transport Manager is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Business Studies for Transport Manager course. After passing the Business Studies for Transport Manager exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Business Studies for Transport Manager course is ideal for: Students seeking mastery in Business Studies for Transport Manager Professionals seeking to enhance Business Studies for Transport Manager skills Individuals looking for a Business Studies for Transport Manager-related career. Anyone passionate about Business Studies for Transport Manager Requirements This Business Studies for Transport Manager doesn't require prior experience and is suitable for diverse learners. Career path This Business Studies for Transport Manager bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Hard Copy Certificate Hard copy certificate - Included 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 CPD Accredited Digital Certificate Digital certificate - Included

Dive into the transformative realm of stakeholder management with 'Developing Effective Stakeholder Relationships for Leaders.' In this meticulously crafted course, we unravel the delicate intricacies of stakeholder relationships, distinguishing between stockholders, internal, and external partners, and highlighting their significance in business leadership. Through an array of lessons, learners will embark on a journey to master the art of stakeholder analysis, construct impeccable communication plans, and drive efficient discussions. As we culminate the lessons, you'll be adept at curating your 'Dream Team' and fostering enduring pre-project affiliations. Learning Outcomes Differentiate between various stakeholders: stockholders, internal, and external. Conduct comprehensive stakeholder analysis. Strategically select and assemble a dream team for projects. Develop robust communication strategies tailored for stakeholders. Facilitate and lead stakeholder discussions effectively. Why buy this Developing Effective Stakeholder Relationships for Leaders course? 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 Developing Effective Stakeholder Relationships for Leaders 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 Developing Effective Stakeholder Relationships for Leaders course for? Managers looking to strengthen their leadership acumen. Business strategists wanting to enhance stakeholder collaboration. Project leaders aiming to foster stronger team dynamics. Entrepreneurs looking to navigate the corporate ecosystem. Communication professionals aiming to improve stakeholder dialogue. Prerequisites This Developing Effective Stakeholder Relationships for Leaders does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Developing Effective Stakeholder Relationships for Leaders 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 Business Manager: £35,000 - £65,000 Business Strategist: £40,000 - £70,000 Project Leader: £45,000 - £75,000 Entrepreneur: Varied (Dependent on business success) Corporate Communications Manager: £38,000 - £68,000 Stakeholder Relationship Manager: £42,000 - £72,000 Course Curriculum Section 01: Introduction Overview & Welcome 00:03:00 How to Get the Most Out of This Class 00:05:00 Section 02: Main Class Lessons Stakeholder vs Stockholder & Internal vs External Stakeholders 00:04:00 Primary and Secondary Stakeholders & Stakeholder Analysis 00:07:00 Selecting Your 'Dream Team' 00:04:00 Developing Pre-Project Relationships 00:04:00 Your Elevator Pitch Invitation 00:05:00 Your Communication Plan 00:07:00 Rewarding Stakeholders to Increase Participation 00:06:00 Facilitating Stakeholder Discussions 00:11:00 Section 03: Next Steps Pulling it All Together 00:04:00 Wrap Up 00:01:00 Assignment Assignment - Developing Effective Stakeholder Relationships for Leaders 00:00:00

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

24 Hour Flash Deal **25-in-1 Navigating Complexity: Understanding and Managing Challenging Behaviour Mega Bundle** Navigating Complexity: Understanding and Managing Challenging Behaviour Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Navigating Complexity: Understanding and Managing Challenging Behaviour package online with Studyhub through our online learning platform. The Navigating Complexity: Understanding and Managing Challenging Behaviour bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Navigating Complexity: Understanding and Managing Challenging Behaviour course provides complete 360-degree training on Navigating Complexity: Understanding and Managing Challenging Behaviour. 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Here's what you get: Step by step Navigating Complexity: Understanding and Managing Challenging Behaviour lessons One to one assistance from Navigating Complexity: Understanding and Managing Challenging Behaviourprofessionals if you need it Innovative exams to test your knowledge after the Navigating Complexity: Understanding and Managing Challenging Behaviourcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Navigating Complexity: Understanding and Managing Challenging Behaviour courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Navigating Complexity: Understanding and Managing Challenging Behaviour certificate and transcript on the next working day Easily learn the Navigating Complexity: Understanding and Managing Challenging Behaviour skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Develop your skills in agile project management and learn the agile approach using the DSDM® framework. Gain confidence to sit the AgilePM® Foundation and Practitioner qualifications on this accredited programme. Duration: 4 days (26 hours) This accredited course is designed for Project Managers, who require an understanding of the agile approach and/or who are intending to run projects using the DSDM® framework. It is also designed to equip practising Project Managers with the confidence to sit the AgilePM® Foundation and Practitioner qualifications, and each delegate will receive a copy of the Agile Project Management V2 Handbook, published by the Agile Business Consortium, formally known as the DSDM Consortium. Objectives  By the end of the course you will be able to: Demonstrate a detailed, practical knowledge of Agile Project Management, based upon the DSDM framework and be equipped with the ability to apply the agile approach in the workplace Describe how the agile way of working can sit alongside more traditional project management frameworks, such as PRINCE2® Plan, organise and control Agile projects Sit the AgilePM Foundation examination, held on the third day and for the Practitioner examination, held on the afternoon of the fourth day Content Agile fundamentals What is Agile? Choosing an appropriate Agile approach Philosophy, Principles and Project Variables Preparing for Success Roles and responsibilities Roles and Responsibilities and the Project Manager view People, Teams and Interactions The DSDM process and products Looking at the DSDM Process and Project Management through the Lifecycle, as well as the DSDM Products and their Effective Use Practices and control Delivering on Time – combining MoSCoW Prioritisation and Timeboxing Requirements and User Stories Estimating Planning Quality Risk Examination and results Foundation Examination and results Practitioner Workshop and Examination AgilePM® Foundation Exam The AgilePM® Foundation Exam is of 40 minutes duration and consists of 50 multiple choice questions. A Pass is 25 correct answers. The exams are marked by the trainer immediately following the exam and the results are available within an hour. The AgilePM® Practitioner Exam A written paper of 2.5 hours duration. There are 8 Objective Test style questions to be answered in the 2.5 hours and the candidate may use an annotated manual. Each question is worth 10 marks and the candidate must score 40/80 to be successful. Please note that examinations are the responsibility of the examination board, APMG. Presented in association with aims4change, an APMG Accredited Training Organisation. AgilePM®is a Registered Trade Mark of the Agile Business Consortium Limited.