17818 AI courses

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Duration 1.5 Days 9 CPD hours This course is intended for This course is intended for individuals who want to gain basic knowledge communicating, etiquette, professionalism and time management for the office environment. Overview Upon successful completion of this course, students will be able to communicate, be professional and manage their time effectively in a business environment. In this course, students will learn how to communicate, act and manage time effective in a business environment. Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives The Big Picture What is Communication? How Do We Communicate? Other Factors in Communication Understanding Communication Barriers An Overview of Common Barriers Language Barriers Cultural Barriers Differences in Time and Place Paraverbal Communication Skills The Power of Pitch The Truth about Tone The Strength of Speed Non-Verbal Communication Understanding the Mehrabian Study All About Body Language Interpreting Gestures Speaking like a Star S = Situation T = Task A = Action R = Result Summary Listening Skills Seven Ways to Listen Better Today Understanding Active Listening Sending Good Signals to Others Asking Good Questions Open Questions Closed Questions Probing Questions Appreciative Inquiry The Purpose of AI The Four Stages Examples and Case Studies Mastering the Art of Conversation Level One: Discussing General Topics Level Two: Sharing Ideas and Perspectives Level Three: Sharing Personal Experiences Our Top Networking Tips Advanced Communication Skills Understanding Precipitating Factors Establishing Common Ground Using ?I? Messages Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations Principles of Professional Behavior Always be Your Best Meeting and Greeting Sending Social Invitations to Business Associates Interview Etiquette Interviewing Before the Interview In the Waiting Room During the Interview After the Interview Job Fair Interviews Planning & Attending Business Meetings Office Meetings Meal Meetings Electronic Etiquette Voicemail Cell Phones Email Multiculture Etiquette Defining the Challenge Five Steps to Dealing with Diversity Guidelines for Managing Diverse Relationships Time Management Concepts Benefits of better time utilization Who controls your schedule? Your Job: What You Are Responsible for Accomplishing? Your job responsibilities Setting objectives Setting priorities How to Use Your Time Gathering data-the time log Analyzing the data Delegation: Working Through Others Why some people don't delegate Levels of delegation How to delegate Benefits of delegation Getting started Planning: Keys to Achievement Planning: Keys to Achievement Coping with Common Time Wasters Coping with self-generated time wasters Coping with environmental time wasters Personal Needs that Get in the Way of Effective Time Utilization Needs profile analysis Self-assessment questionnaire Applying needs assessment results Planning for Improvement Six tips for effective time management Planning for improved time utilization Follow-Up: Staying on Track Time savings progress report Time savings progress chart Time management progress survey Additional course details: Nexus Humans Business Soft Skills training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Business Soft Skills course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Presentation Skills 1 Day Workshop in Hamilton, UK

Train-The-Trainer 1 Day Training in Swindon

The qualification is aimed at learners already working or preparing to work in industry that is identified within the company's risk assessment of First Aid. The qualification has a recommended course duration of 3 days; however the course duration may be increased to meet additional learning needs if required but not reduced.

Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field.  The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand.  And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

This one-day course is a must for all construction operatives! Not only is this a legal requirement under CDM 2015, but if your Company is accredited to CHAS or similar SSIP schemes you must be able to demonstrate that suitable training has been provided to your staff. The Construction Design & Management Regulations 2015 (CDM) sets the requirement for all workers to have the right skills, knowledge, training, and experience. Aims To give a clear understanding of Regulations & Legislation that applies to construction work and is an ideal refresher for any operative that has previously completed training in Health & Safety. Course Content Overview of the following regulations: • The Construction Design & Management Regulations 2015 (CDM) • Health & Safety at Work etc. Act 1974 • Work at Height Regulations 2005. • Control of Asbestos Regulations 2012 • Control of Substances Hazardous to Health Regulations 2002 (CoSHH) • Provision and Use of Work Equipment Regulations 1998 (PUWER) • Personal Protective Equipment at Work Regulations 1992 (PPE) Practical training in: • Abrasive Wheels • CoSHH • Working at Height (awareness) • Manual Handling (awareness). Prerequisites None - The course is intended either as an introduction or as a refresher. Assessment At the end of this course, all delegates will have a clear understanding of the requirements of Health and Safety Legislation and their responsibilities to comply with them. Certificate This course is covered by certification to provide to your Clients, CHAS (and other SSIP) as confirmation of training undertaken and is valid for 3 years. Instructions Cost includes: course notes, certification, lunch & refreshments. Directions Location Map

This module aims to develop knowledge and understanding of the role of logistics including an understanding of air, sea, road and rail freight and courier services. It will explore the advantages and disadvantages of using the different modes of transport the world of international trade.

Course Summary Mini Medics - First Aid The Mini Medics courses is a Child friendly introduction to first aid and defibrillation aimed at children between the ages of 8 and 11, but it can suit children of any age from about 5 upwards. The course is kept at a basic level with no use of confusing terminologies. The mini medics course will show complete respect for the child’s ability, make it educational and practical, and instil the importance of helping someone who is poorly or injured. Fully illustrated 24-page ‘First Aid for Children’ book • A unique syringe pen in various colours (or colouring pencils) • A 4-page worksheet There is also the opportunity to purchase t-shirts and hoodies - delivered at a later date Course Contents A range of subjects are covered including: What is First Aid? Safety Communication and contacting the emergency services First Aid kits DR ABC Recovery position Choking Resuscitation (CPR) Defibrillation (AED) Wounds and bleeding Asthma Shock Certification A certificate of attendance is included with the Mini Medic book as a ‘cut-out’ for the child. Duration 3 hours (dependent on the syllabus you want covered including educational, theoretical and practical teaching sessions. A shorter 1 hour version is available for the younger children - enquire by calling 07853393777) Further Information Duration: 3-hours in total (including a 20 min break in the middle) Group size: 10 Candidates per 1 Trainer/Assessor Assessment method: None Pre-requisite: Candidates should be aged 6-11, but suitable for all ages Suggested progression: Mini Medics - Mental Health First Aid *There are chairs in the foyer and a cafe next door (same building) if parents wold like to stay close by.

Overview of Healthcare Assistant Training Experience on a journey towards a fulfilling career in healthcare, an industry brimming with opportunities and growth. In the UK, the healthcare sector is a vital component of society, offering employment and a chance to make a meaningful difference in people's lives. With a focus on industrial knowledge and understanding, the Healthcare Assistant Training course equips you with the essential skills and insights needed in this dynamic field.  Dive into various aspects of healthcare, from legal and ethical practices to advanced technological solutions. This Healthcare Assistant Training course is a gateway to a world where compassion meets expertise, preparing you for a range of roles in this ever-evolving industry. Join us to become part of a community dedicated to care and excellence. Get a quick look at the course content: This Healthcare Assistant Training Course will help you to learn: Gain proficiency in various healthcare settings and practices. Understand legal ethical standards in healthcare comprehensively. Develop skills in maintaining and handling medical records. Learn the importance of confidentiality in medical environments. Acquire knowledge of health, safety, and hygiene in nursing. Understand patient mobility issues and caregiver roles effectively. This course covers the topics you must know to stand against the tough competition. The future is truly yours to seize. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Healthcare Assistant Training course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Aspiring healthcare assistants seeking foundational skills. Nurses and support workers aim for skill enhancement. Current healthcare workers are updating post-Covid-19 skills. Individuals interested in health and social care roles. Tech enthusiasts are exploring AI in healthcare applications. Requirements You don't need any educational qualification or experience to enrol in the Healthcare Assistant Training course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career path Healthcare Assistant - £18K to £25K/year. Infection Control Nurse - £25K to £35K/year Nursing Assistant - £17K to £25K/year. Social Care Worker - £16K to £22K/year. Medical Records Clerk - £17K to £24K/year. Course Curriculum Healthcare Assistant Training Module 1: Working in Different Healthcare Settings 00:15:00 Module 2: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 00:50:00 Module 3: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2 00:48:00 Module 4: Maintaining Medical Records 00:22:00 Module 5: Confidentiality in a Medical Environment 00:17:00 Module 6: Health and Safety Responsibilities 00:51:00 Module 7: Hygiene in Nursing 00:30:00 Module 8: Infection Control 00:57:00 Module 9: Mobility and Immobility Issues of Patients in Nursing 00:15:00 Module 10: Rights and Responsibilities as a Health and Social Care Worker 00:39:00 Module 11: Role as A Caregiver and Healthcare Professional 00:23:00 Module 12: Providing Care or Treatment to People Who Lack Capacity 00:11:00 Module 13: Managing Service Delivery in Health and Social Care 00:11:00 Module 14: Medical Jargon and Terminology 00:28:00 Module 15: Effects of Covid-19 on Human Life 00:19:00 Module 16: Preventions and Social Measures to Be Taken 00:28:00 Module 17: Information Technology in Health Care 00:16:00 Module 18: Artificial Intelligence, Data Science and Technological Solutions against Covid-19 00:19:00 Assignment Assignment - Healthcare Assistant Training 00:00:00