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In today's competitive business landscape, the art of guiding an organisation toward triumph rests on superior leadership skills and strategic vision. Dive deep into the world of 'Strategic Direction And Leadership: Navigating Business Success'. From the basic introduction of leadership, journey through various leadership theories and styles, explore the significance of emotional intelligence, and grasp the essential tools for conflict management and negotiation. Discover the importance of collaborative work, learn to motivate your team effectively, and master talent and succession planning. Finally, gear up for a future-ready enterprise with modules on innovation and entrepreneurship. Don't just lead - lead with purpose, direction, and innovation. Learning Outcomes Understand the foundational principles of strategic direction and leadership. Analyse various leadership theories and determine the most appropriate style for different situations. Develop emotional intelligence to enhance decision-making and interpersonal relationships. Master techniques for conflict resolution, talent management, and effective negotiation. Recognise the importance of innovation and entrepreneurship in strategic leadership. Why buy this Strategic Direction And Leadership: Navigating Business Success 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 Strategic Direction And Leadership: Navigating Business Success 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 Strategic Direction And Leadership: Navigating Business Success course for? Individuals aspiring to ascend to leadership roles. Current leaders keen on refining their strategic and managerial abilities. Entrepreneurs aiming to foster innovation within their ventures. HR professionals keen on succession planning and talent management. Anyone passionate about understanding and implementing strategic direction in an organisation. Prerequisites This Strategic Direction And Leadership: Navigating Business Success does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Strategic Direction And Leadership: Navigating Business Success 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 Strategic Manager: £60,000 - £85,000 Annually Chief Executive Officer (CEO): £70,000 - £150,000+ Annually Leadership Development Consultant: £45,000 - £70,000 Annually Talent Management Specialist: £40,000 - £60,000 Annually Organisational Development Specialist: £50,000 - £75,000 Annually Conflict Resolution Manager: £40,000 - £65,000 Annually Course Curriculum Module 01: Introduction to Strategic Direction and Leadership Introduction to Strategic Direction and Leadership 00:16:00 Module 02: Different Leadership Theories and Styles Different Leadership Theories and Styles 00:13:00 Module 03: Leadership Skills and Competencies Leadership Skills and Competencies 00:16:00 Module 04: Leadership and Emotional Intelligence Leadership and Emotional Intelligence 00:18:00 Module 05: Collaborative Work A Leader's Role Collaborative Work A Leader's Role 00:20:00 Module 06: Motivating Employees Motivating Employees 00:15:00 Module 07: Talent Management Talent Management 00:21:00 Module 08: Leadership and Succession Planning Leadership and Succession Planning 00:15:00 Module 09: Conflict Management Techniques Conflict Management Techniques 00:07:00 Module 10: Fundamentals of Negotiation Process Fundamentals of Negotiation Process 00:10:00 Module 11: Strategic Innovation and Entrepreneurship Strategic Innovation and Entrepreneurship 00:11:00

Level 5 QLS Endorsed Course | CPD & CiQ Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Managing Complex Projects: In-House Training As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environment As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. Complex projects don't necessarily follow the rules of traditional projects - in many instances the projects' end-products, and the methods by which they will be produced, are not easily defined. Stakeholder diversity and geographical dispersion contribute to the difficulties project managers face in their efforts to gain acceptance of project goals, objectives, and changes. Additionally, hierarchic leadership styles, traditional lifecycle approaches, and traditional project manager competencies may no longer maximize the efficiencies that need to be realized on complex projects. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environments. What you Will Learn The learning objectives of this workshop are to enable participants to: Appreciate complexity and its impact on the management of projects Describe the differences among traditional, complicated, and complex projects Explain the effects of complexity on the PMBOK® Guide's process groups Apply a high-level model in the management of real- world projects Complexity and Projects Some characteristics of complex systems Important models/characteristics of complex projects Major players in project complexity Landscapes and project typologies A supplemental framework for complex projects Framing Framing overview Potential pitfalls in framing complex projects Possible solutions Inception Centrality of risk management PM competencies, selection Stakeholder identification, analysis Blueprint Collaborative planning Stakeholder engagements Alternative methodologies/life cycles Collaborative scheduling Procurement management Oversight, Navigation, and Adjustment Leadership and the project team Stakeholder management Networks Close and Continuous Improvement Transition/support Post-project evaluations Rewards/Recognition

High Performing Teams. Moccasin Approach, Moccasin Manager,

Join the Scrum.org accredited Live Virtual Class - Professional Scrum Master 2 (PSM II). This is an advanced scrum master training course - designed for experienced Scrum Masters seeking professional growth. Course Description This advanced Professional Scrum Master (PSM II) qualification is designed to elevate you to a level of total Scrum mastery. Deepen your understanding of the Scrum framework and Agile practices while transforming your team into an Agile powerhouse. Gain the skills to teach Agile and support your organisation, regardless of your role. Whether you aim to lead Agile transformation within your organisation or progress your Agile career, this advanced Scrum mastery course is your ideal opportunity. Our Scrum.org certified advanced professional scrum master training course is delivered by industry experts with unrivalled interactivity. We combine real world experience with industry leading practicals that embed key principles. The PSM 2 course if focussed on developing practical skillsets and best practice implementation to achieve tangible results. Through these tried and tested learning techniques, Fractal Systems delivers a 98% first-time pass rate. Learn how to become an advanced Scrum Master: Understand how Scrum principles and values guide decision-making. Enhance servant-leadership abilities. Support Development Teams and Product Owners to improve effectiveness. Foster a conducive environment for successful Scrum Teams with greater agility. Gain tips and techniques for collaboration with the organisation. Improve overall organisational impact as a successful Scrum Master. Address team conflict and remove impediments. Communicate the significance of a "Done" Increment. Grasp how to support the Scrum Team and navigate middle management challenges. Why Train With Us? This immersive two day PSM II course prioritises your growth and success in the industry. We believe in hands-on learning experiences that deliver practical applications that are specific to your individual workplace challenges. This not only helps to frame key principles of an advanced Scrum Master but also enables you to have a more immediate impact in your role. The PSM II training course is led by our Scrum Trainers, all of which have real world industry experience. Gain a deep understanding of advanced Scrum theory, empower your Scrum teams with best practices and be supported by industry professionals throughout - from passing test to implementing learnings into your role. Who Should Attend This Course? The Professional Scrum Master II course is an advanced program tailored for experienced Scrum Masters with a deep understanding of the Scrum framework. We recommend this to individuals with at least one year of Scrum Master experience. Your Professional Scrum Trainer Meet Jay, the founder of Fractal Systems and an experienced Professional Scrum Trainer. With over 20 years in leadership and team roles, Jay excels in delivering practical value. He adopts an interactive teaching style, avoiding PowerPoint in favour of engaging, experience-based learning, using techniques from Liberating Structures and Neuro-Linguistic Programming. Jay specialises in business transformations, providing training, mentoring, coaching, and consulting to drive success through teamwork. For those pursuing the Professional Scrum Master II (PSM II) certification, Jay and the Fractal team are committed to supporting your learning journey with a range of valuable resources: Complimentary Scrum Resource Bundle Access to a PSM Exam Simulator Free PSM II Exam Coaching Sessions Personalised 1:1 Coaching At Fractal Systems, our goal is to ensure you have the support and resources needed for a successful PSM II learning experience. Our Clients Our Testimonials

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Course Overview  Step into the future of work with our electrifying online courses in workplace training! 🌈 In a world where the training industry is booming, with billions at stake, and e-learning is the new normal, you're about to make a leap that could skyrocket your career.  Imagine being the powerhouse behind a 218% jump in company income or a 17% surge in productivity, all because you mastered the art of improving performance from your cozy nook. With potential earnings from $52,000 to a dazzling $101,000, the path to becoming a workplace wizard is at your fingertips.  Join the 92% of employees who find joy and engagement in their careers through learning. Let's light up your professional journey with our on-demand, online treasure trove of knowledge. 🚀✨📚 Learning Outcomes Understand HR Management basics and their importance in organizations. Gain skills in Recruitment, Selection, and Job Design for better workforce planning. Improve employee performance with Training, Development, and Performance Management. Manage Compensation, Benefits, and Employee Relations to create a positive workplace. Learn about Future HR Trends and Challenges to remain forward-thinking. Course Description Dive into the heart of Human Resources with our comprehensive online course, designed to empower you with the foundational insights and strategies of effective HR management. Starting with an "Introduction to Human Resources Management," this course guides you through the essentials of job analysis, design, recruitment, and selection, ensuring you're equipped to build a top-tier workforce. Progress through engaging modules on "Employee Training and Development" and "Performance Management" to discover how to elevate team performance and foster a thriving workplace culture. Explore the critical aspects of "Compensation and Benefits" to learn the art of crafting compelling packages that attract and retain talent. Delve into "Employee Engagement and Relations" to master the dynamics of employee satisfaction and productivity. With a keen eye on the future, our "Future Trends and Challenges in HR" module prepares you to stay ahead in the rapidly evolving HR landscape. Through on-demand video lectures, this course offers a seamless learning experience, perfect for anyone looking to advance their career in Human Resources. Start your journey today and unlock the potential to transform organizations from within. Who is this course for? Aspiring HR professionals looking to kickstart their careers with a solid foundation in Human Resources. Current HR staff seeking to enhance their skills and knowledge for career advancement. Business owners and managers aiming to improve their workforce management and organizational performance. Career Path HR Assistant: Entry-level position to get your foot in the door; expected yearly salary around $35,000 - $45,000. HR Specialist/Generalist: A role focusing on specific HR functions or a broad range; expected yearly salary around $50,000 - $70,000. HR Manager: Overseeing HR operations, strategy, and team; expected yearly salary around $70,000 - $100,000+. Chief HR Officer (CHRO): Senior executive role responsible for the entire HR department; expected yearly salary around $100,000 - $200,000+.

Aligned with the AIGP certification program, AI Governance Professional Training is for professionals tasked with implementing AI governance and risk management in their organizations. It provides baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. About This Course This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.   Module 1: Foundations of artificial intelligence Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context. Module 2: AI impacts on people and responsible AI principles Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI. Module 3: AI development life cycle Describes the AI development life cycle and the broad context in which AI risks are managed. Module 4: Implementing responsible AI governance and risk management Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems' potential societal benefits. Module 5: Implementing AI projects and systems Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. Module 6: Current laws that apply to AI systems Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. Module 7: Existing and emerging AI laws and standards Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. Module 8: Ongoing AI issues and concerns Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues. Accreditation The associated exam is accredited by the IAPP under its ANSI Accreditation Who Should Attend? Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification. Prerequisites A general understanding of AI, Corporate Governance, and Business value would be of benefit to participants. Assessment As with all IAPP exams, the AIGP is a 90 question, multiple choice exam to be completed within 150 minutes. Exams are hosted by Pearsonvue and can be taken either remotely, or via any one of hundreds of exam venues globally. A passing score is achieved at 70% Our Guarantee We are an approved IAPP training provider Exam pass guarantee, or retrain until you do, for free What's Included? Participant Guide Study Guide Practice Exam Exam voucher Breakfast, lunch, coffees and snacks (Classroom courses only) Certification Logo

  Delivered in either our Live Online format (4 days) or in our Classroom (5 days), the ISO 37001 Lead Auditor training course enables you to develop the necessary expertise to perform an Anti-bribery Management System (ABMS) audit by applying widely recognized audit principles, procedures and techniques. About This Course   During this training course, you will acquire the knowledge and skills to plan and carry out internal and external audits in compliance with ISO 19011 and ISO/IEC 17021-1 certification process.   Based on practical exercises, you will be able to master the audit techniques and become competent to manage an audit program and audit team.    After acquiring the necessary expertise to perform this audit, you can sit for the exam and gain the "Certified ISO 37001 Lead Auditor' credential. By holding this Certificate, you will demonstrate that you have the capabilities and competencies to audit organizations based on best practices.   Learning objectives   Understand the operation of an Anti-bribery Management System based on ISO 37001 and its principal processes Understand the correlation between ISO 37001 and other standards and regulatory frameworks Understand the auditor's role in planning, leading and following-up on a management system audit in accordance with ISO 19011 Interpret the requirements of ISO 37001 in the context of an ABMS audit Strengthen the personal skills necessary for an auditor to act with due professional care during an audit   Educational approach   Lecture sessions are illustrated with practical questions and examples Practical exercises include examples and discussions Practice tests are similar to the certification exam Prerequisites   A foundational understanding of ISO 37001 and knowledge of audit principles. What's Included?   Refreshments & Lunch (Classroom only) Course Slide Deck Official Study Guides CPD Certificate The Exam Who Should Attend?   Auditors seeking to perform and lead Anti-bribery Management System (ABMS) certification audits Managers or consultants seeking to master an Anti-bribery Management System audit process Individuals responsible for maintaining conformance with ISO 37001 requirements Technical experts seeking to prepare for an Anti-bribery Management System audit Expert advisors in Anti-bribery Management Accreditation Assessment   The exam is delivered in a 12 question essay format, to be completed within 150 minutes and gaining a 70% pass mark. Exam results are provided within 24 hours. Provided by   This course is Accredited by NACS and Administered by the IECB.

  After mastering all the necessary concepts of Disaster Recovery processes, you can sit for the exam and gain the "Certified Lead Disaster Recovery Manager' credential. By holding this Certificate, you will be able to demonstrate that you have the practical knowledge and professional capabilities to support and lead Disaster Recovery teams in implementing Disaster Recovery strategies based on best practices.  About This Course   Learning objectives   Acknowledge the correlation between Disaster Recovery, Business Continuity Management, Information Security and other IT areas and frameworks Master the concepts, approaches, methods and techniques used for the implementation and effective management of a Disaster Recovery Plan Learn how to interpret the ICT Disaster Recovery strategies in the specific context of an organization Learn how to support an organization to effectively plan, implement, manage, monitor and maintain DR services based on best practices Acquire the expertise to advise an organization in implementing an effective Disaster Recovery Plan based on best practices   Educational approach   This training is based on both theory and best practices used in the implementation and management of a DR plan Lecture sessions are illustrated with examples based on case studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam   Course Content   Day 1: Introduction to Disaster Recovery and initiation of a DR plan Day 2: Risk Mitigation Strategies and Disaster Recovery Planning Day 3: Disaster Recovery facilities, services, recovery sites, response and activation Day 4: DRP testing, monitoring, measurement and continuous improvement; the examination Accreditation Prerequisites   A foundational understanding of Disaster Recovery Services and knowledge of management principles, concepts and strategies. Assessment   The exam for this course consists of 12 essay type questions, to be completed within the 150 minute timeframe and achieving the 70% pass mark. Exam results are provided within 24 hours. What's Included?   Certification fees are included on the exam price Training material containing over 450 pages of information and practical examples will be distributed A participation certificate of 31 CPD (Continuing Professional Development) credits will be issued In case of exam failure, you can retake the exam within 12 months for free Provided by   This course is Accredited by NACS and Administered by the IECB. Who Should Attend?   Information Security Managers Incident Managers Helpdesk Managers Executives with Governance concerns