Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production
Understand what Emotional Intelligence is and how it impacts you and others around you. Course overview Duration: 1 day (6.5 hours) Emotional intelligence (EI) is increasingly being regarded as a major key to personal success. IQ measures our ability to problem solve and is pretty difficult if not impossible to change. Our emotional intelligence is our ability to problem solve about emotions and like any other skill can be developed and honed. Some of the most successful people in life today are those who are regarded as having a high level of emotional intelligence whatever their level of IQ. Being able to manage themselves and others successfully is often a crucial factor in their success. With a growing emphasis on ‘soft skills’, leaders and managers need to be able to sensitively handle other people, both within and outside the organisation. Emotions are important in work life. They drive motivation and commitment; they are an inherent part of what we do whatever our job role. Effective individuals are proficient at recognising, using, understanding, and managing emotions in themselves and others. This one day course will help participants improve their understanding and skill in these areas. Objectives By the end of the course you will be able to: Identify the aspects of your role where emotions are important Recognise the four key elements of Emotional Intelligence Use a range of skills to build and maintain key relationships Develop an emotionally intelligent ‘culture’ in your part of the organisation Create a personal action plan to continue to enhance and monitor your Emotional Intelligence Content Emotional Intelligence (EI) What is Emotional Intelligence? Where does it sit in the “whole person model” IQ, Personality Traits, Skills and Knowledge and EI Dispelling the myths and legends about EI The RUUM Model of EI Recognising emotions in self and others Using emotions Understanding emotions Managing emotions Developing Skills in each of the 4 areas of EI Short and long-term strategies to develop EI Developing compensating strategies where needed Practical application of EI Leveraging EI strengths Practice using RUUM Model Case studies and scenarios Video analysis Examples in the public eye we can all relate to Incorporating EI into your day to day role Practical steps Peer coaching Action planning Optional Follow-up After completing this course, you have an opportunity to complete a psychometric to understand more about emotional motional drivers and derailers. If you would like to do this, you will be invited to complete a psychometric questionnaire called Lumina Emotion.It can be done online and takes between 30-60 minutes. The results are compiled into a report which one of our trained and accredited coaches will go through with the participant individually to work up an action plan to leverage their EI strengths and develop strength where needed.This can be very powerful in building EI into your people and your organisation.
Within the course, you have the chance to complete a questionnaire focused on determining your preferences, which will enable you to gain some insights into your Type. As you progress through the course, you are able to check how clear you are with each preference to give you a deeper understanding of your own type.
Embark on a compelling educational voyage with our 'Criminology, Domestic Violence and Criminal Intelligence Complete Bundle' course. This multifaceted program is an amalgamation of psychology, criminology, and specialised insights into domestic violence and criminal intelligence. The journey commences with an exploration of various psychological perspectives, laying a foundational understanding that's pivotal for comprehending human behaviour and criminality. Progressing through the course, learners are immersed in social and cognitive psychology, shedding light on the mental processes that influence societal interactions and individual decision-making. The curriculum then ventures into the developmental aspects of psychology, delving into child development and the psychology of atypical behaviour. These initial modules provide a robust platform for the specialised study of criminology and the intricate dynamics of domestic violence, culminating in a comprehensive grasp of criminal intelligence. Learning Outcomes Attain a thorough understanding of different psychological perspectives and their impact on criminal behaviour. Analyse social interactions and cognitive processes using psychological theories. Explore the developmental factors in psychology, particularly relating to child development and atypical behaviour. Gain a deep understanding of the principles and practices in criminology. Develop specialised knowledge in the areas of domestic violence and criminal intelligence. Why choose this Criminology, Domestic Violence and Criminal Intelligence Complete Bundle? 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 Criminology, Domestic Violence and Criminal Intelligence Complete Bundle for? Aspiring criminologists and psychologists seeking a comprehensive understanding of criminal behaviour. Law enforcement and intelligence professionals looking to enhance their knowledge in criminal psychology and intelligence. Social workers and counsellors aiming to specialise in domestic violence intervention. Students in psychology, criminology, or related fields pursuing a multidisciplinary approach. Policy makers and legal professionals interested in the psychological aspects of law and crime. Career path Criminologist: £25,000 - £50,000 Forensic Psychologist: £30,000 - £60,000 Intelligence Analyst: £27,000 - £55,000 Domestic Violence Counsellor: £22,000 - £40,000 Social Policy Advisor: £30,000 - £60,000 Law Enforcement Officer: £20,000 - £45,000 Prerequisites This Criminology, Domestic Violence and Criminal Intelligence Complete Bundle does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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 Perspectives in Psychology Promo Video 00:01:00 What is Psychology 00:10:00 The Biological Approach 00:10:00 Behaviourist and Cognitive Approaches 00:10:00 Person-Centred Approaches 00:08:00 Research Methods in Psychology 00:12:00 Debates in Psychology 00:13:00 Social Psychology Social Influence: Compliance, Obedience and Conformity 00:10:00 Social Cognition 00:09:00 Applied Social Psychology 00:10:00 Cognitive Psychology and Its Applications Perception 00:10:00 Attention 00:07:00 Remembering (Memory) 00:10:00 Forgetting (Memory) 00:07:00 Language 00:10:00 Thinking (Cognition) 00:07:00 Attitudes 00:10:00 Problem-Solving and Artificial Intelligence 00:09:00 Child Development Issues in Child Development 00:05:00 Cognitive Development 00:07:00 The Development of Language and Communication 00:06:00 Social Perception (Interpersonal Perception) 00:06:00 Moral Development 00:09:00 The Psychology of Atypical (Abnormal) Behaviour The definition and Diagnosis of Atypical (Abnormal) Behaviour 00:07:00 Treatments of atypical (abnormal) behaviour 00:07:00 Emotional disorders 00:05:00 Research Methods Research Methods 00:06:00 Research Issues 00:06:00 Data Analysis 00:07:00 Thank You and Good Bye! 00:02:00 Resource Materials Resource Materials : Psychology 00:00:00 Criminology Introduction to Criminology and Profiling 00:23:00 Classification of Crime 00:18:00 Violent Crimes 00:29:00 The Crime Scene 00:30:00 Dealing with Crime 00:41:00 Understanding Criminal Psychology 00:31:00 Forensic Science 00:35:00 Phases of Profiling 00:33:00 Criminal Profiling: Science, Logic and Metacognition 00:28:00 Module 10: Offender Profiling: Pragmatic Solution and Behavioural Investigative Advice 00:22:00 Module 11: Victimology 00:25:00 Module 12: The Criminal Justice System in England and Wales 00:19:00 Domestic Violence and Criminal Intelligence Module 01: Introduction to Domestic Violence & Abuse 00:28:00 Module 02: The Components of Domestic Violence 00:25:00 Module 03: The Impact of Domestic Violence on Victims 00:32:00 Module 04: The Impact of Domestic Violence and Abuse on Children 00:50:00 Module 05: Assessing the Risks of Domestic Violence and Abuses on Children 00:15:00 Module 06: Supporting the Victim and Reporting Incidents 00:31:00 Module 07: Record Keeping 00:19:00 Module 08: Domestic Violence and Abuse Legislation in the UK 00:15:00
In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.
Title: Mastering the Future: Digital Electrical Circuits and Intelligence Electrical Devices Course Overview: Welcome to a transformative journey into the cutting-edge realm of 'Digital Electrical Circuits and Intelligence Electrical Devices.' In today's rapidly evolving technological landscape, the demand for skilled professionals who can navigate the complexities of digital circuits and intelligent devices is greater than ever. This comprehensive course is designed to equip you with the knowledge and skills needed to not only understand but also master the intricacies of digital electrical circuits and harness the power of intelligent electrical devices. Key Features: Comprehensive Curriculum: Our course covers a wide spectrum of topics, from the fundamentals of digital electrical circuits to the advanced principles behind intelligent electrical devices. You'll delve into topics such as digital signal processing, microcontrollers, embedded systems, and more. Hands-On Learning: Theory comes to life through hands-on projects and practical exercises. You'll have the opportunity to apply your knowledge in real-world scenarios, ensuring that you not only understand the concepts but can also implement them effectively. Cutting-Edge Technologies: Stay ahead of the curve by learning about the latest advancements in digital circuits and intelligent devices. Explore the world of artificial intelligence, machine learning, and the Internet of Things (IoT) to understand how they intersect with electrical engineering. Expert Instruction: Benefit from the guidance of experienced instructors who bring a wealth of industry knowledge to the classroom. Our instructors are dedicated to your success, providing support and insights throughout the course. Industry-Relevant Projects: Gain practical experience by working on projects that mirror real-world challenges faced by professionals in the field. Build a portfolio that showcases your abilities and sets you apart in a competitive job market. Networking Opportunities: Connect with like-minded individuals and industry experts through networking events, forums, and collaborative projects. Expand your professional network and open doors to new opportunities. Flexible Learning: Designed to accommodate various schedules, our course offers flexibility through online lectures and resources. Access course materials at your own pace, allowing you to balance your learning with other commitments. Certification: Upon successful completion of the course, receive a recognized certification that validates your expertise in digital electrical circuits and intelligent electrical devices, enhancing your credibility in the job market. Whether you're a seasoned professional looking to upskill or a student aspiring to enter the field of electrical engineering, our 'Digital Electrical Circuits and Intelligence Electrical Devices' course provides the knowledge and practical experience needed to thrive in the dynamic world of technology. Enroll now to embark on a journey towards mastering the future of electrical engineering! Course Curriculum Introduction To Digital Electric Circuits Introduction To Digital Electric Circuits 00:00 Numbering Systems Numbering Systems 00:00 Binary Arithmetic Binary Arithmetic 00:00 Logic Gates Logic Gates 00:00 Flip-Flops Flip-Flops 00:00 Counters Shift Registers Counters Shift Registers 00:00 Adders Adders 00:00
This course is designed for beginners who want to learn how to use Tableau Prep Builder for data preparation and data cleaning. We will start from scratch; no specific knowledge is required; you should only be familiar with Tableau.
CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.