15214 AI courses

The qualification aims to equip the learner with the skills, knowledge and understanding required to plan and instruct programmes for exercise referral. Learners will cover: Skills relating to the qualification: Collect and analyse nutritional information and apply the principles of nutrition to a physical activity programme. Collect information about exercise referral patients and prepare patients and resources for exercise referral sessions. Instruct, adapt, conclude and review exercise referral sessions. Agree on goals, plan, manage, review progress and adapt an exercise referral programme with exercise referral patients.

The two-day Youth MHFAider® course is tailored for people who teach, work, live with, support and care for young people aged 8 to 18. This mental health first aid course can be attended by anyone from age 16 upwards.

Bayfield Training and the University of Cambridge Department of Land Economy This prestigious eight-week online Real Estate course is suitable for modellers new to Real Estate and experienced Real Estate Analysts looking to formalise their skill set. This course will equip you with skills to start building your own financial models and the certificate will give your employers and colleagues reassurance of your expertise. If you want to enhance your financial modelling skills over an extended period, the Real Estate Financial Modelling Certificate is the course for you. This online real estate course has been put together exclusively for the Real Estate Financial Modelling certificate, using state of the art digital resources such as animations, video-steps, digital whiteboard and video-interactions as well as the spreadsheets, text based resources and tutor contact you would expect from any of Bayfield Training’s classroom based courses.  Assessment is in the form of a guided model build exercise and written model appraisal. Participants benefit from an additional months access to the course platform after submission of the assessment. On this course you will: Become a competent model builder, building Real Estate Financial Models from scratch Learn tricks and concepts from financial modelling experts with decades of experience in practice and academia Learn how to use Real Estate Financial Models to make informed investment decisions Learn at a consistent pace over 8 weeks allowing you to take the time to fully grasp this important skill This course is suitable for: Chartered Surveyors Asset Managers Financial Controllers Financial Analysts Investment Managers Property Managers Real Estate Students/Recent Graduates Course Outline: Module 1 - Economic Context Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Why Real Estate Asset Modelling is important Understanding the occupier, asset and development markets and the relevant modelling approaches for each Real Estate Sub-Sector Key Performance Indicators Introduction to conventional valuations and financial mathematics Understanding and minimising errors in Financial Models Module 2 - Cash Flow Fundamentals Constructing a financial model from first principles. Understanding all the components of a basic cash flow model Understand why Corporate Finance Models and Real Estate Models are different Financial Model Design Making the link between valuations, income mathematics and discounted cash flows Internal Rate of Return, Net Present Value,Worth and other metrics Features and techniques to aid fast model building Module 3 - Developing the Cash Flow Adapting financial models for different periodicities and building rent functions for different rent behaviour. Understanding how leases vary with respect to rent over time: Rent Reviews, Break Clauses, Rent Free Periods, Lease Expiries etc. Developing the concept of a Rent Function in Excel Logic mathematics and Logic functions Projecting rent to adapt to different lease contracts and growth patterns Alternative solutions to Logic functions Comparative analysis of lease structures in different jurisdictions and adapting financial models Module 4 - Real Estate Data Understanding the different sources of data, constructing basic time series models and recognising basic patterns. Key Property market indicators Characteristics and application of key input metrics for Real Estate Appraisals Understanding the eight components of Real Estate Price Dynamics Awareness of the different sources of data Reading and using general property market reports Constructing basic time series models and recognising basic patterns Module 5 - Development Appraisals Constructing a development appraisal from first principles and understanding development return metrics. Understanding the key components of a development project Understanding the difference between development and investment appraisals Residual Appraisals and Profit Calculations Cost orientated cash flows and phased sales Cumulative construction cost patterns: incidental, fixed, loaded and S-curve Development return metrics and Modified IRRs Module 6 - Multi-let Cash Flows Constructing an advanced multi-let cash flow model and learn different techniques to build flexible rent functions. Multi-let and portfolio model design principles Building complex date functions and date series The three multi-let rent projection techniques Perpendicular Rent Functions Incorporate advanced rent adjustments into the Rent Function Incorporate sector and period varying rental growth rates Simplifying OPEX and CAPEX projections Discounting techniques on complex and volatile cash flows Module 7 - Project Finance Constructing a flexible Real Estate Debt Finance model. Revision of the Mathematics of amortisation and debt finance Basic senior debt models and geared net cash flow LTV, IRR and Interest Rate Dynamics Flexible term, repayment options and deferred interest Loan covenant tests Understanding different tranches of debt Understanding how complex debt structures impact the returns to different parties Module 8 - Model Interpretation and Risk Analysis Learn how to read, analyse and report on real estate financial models. Understand how to read models and develop an investment narrative Visualise model outputs using graph functions, conditional formatting, dynamic symbols and dashboards Learn how to use built-in Sensitivity, Scenario Analysis tools and third-party add-ins Learn how to construct varied project scenarios in a systematic way Introduction to Monte Carlo Analysis and VBA Optimising sale dates and other parameters Create well written, attractive and persuasive reports Included in the Course Bayfield Training and University of Cambridge Accredited Certificate & LinkedIn Proficiency Badge 64 CPD Hours 1 Month Post-Course Access to the Digital Platform - 12 Months Post-Course Access to the Platform can be purchased for an additional fee Course Files Q&A Webinars and Guest Speaker Webinars Further Learning Resources (Reading, Files and Videos) Post Course Support - Two Months of Questions & Answers 2024 Cohort Dates Include: 3rd June to 29th July 5th August to 25th September 2024 30th September to 25th November For more information, please contact Sam on the Bayfield Training Sales team: E - s.musgrave@bayfieldtraining.com T - 01223 517851 W - www.bayfieldtraining.com

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

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

Self, Health & Wealth - Women In Business Leadership Programme £149 per month (6 Month Programme) Designed for ambitious women who are ready to elevate their leadership potential, including: Aspiring Leaders: Women who are seeking to step into leadership roles but may feel held back by self-doubt, imposter syndrome, or lack of confidence. Mid-level Managers: Women already in management who want to refine their leadership skills, increase their visibility, and breakthrough to senior leadership positions. Entrepreneurs and Business Owners: Women who run their own businesses and are looking to build resilience, manage their health, and secure financial empowerment to lead with impact. Women Seeking Career Advancement: Professionals who want to strengthen their personal brand, develop effective communication strategies, and learn how to negotiate and advocate for their financial worth. Programme Structure Over 6 Months 3 x Online Masterclasses: Jan/March/May 2025 3 x Face-to-Face Seminars: Feb/April/June 2025 3 x 1:1 Online Coaching Sessions: Booked to accommodate your schedule and individual learning objectives. Core topics 1. Self-Development: Breaking Personal Barriers Understanding Leadership Identity: Gain clarity on your leadership style and strengths. Learn how to align your values with your professional goals to create a purpose-driven leadership approach. Overcoming Self-Doubt: Strategies to build confidence and combat imposter syndrome. Identify mental barriers and limiting beliefs that may hold you back and unlock your leadership potential. Personal Brand Development: Craft an authentic personal brand and establish visibility in your organisation or industry. Enhance your influence with effective communication strategies and master delivering impactful presentations that showcase your expertise and boost your leadership presence. 2. Health and Resilience: Leading with Energy Building Resilience: Learn how to maintain resilience under pressure, adapt to change, and manage stress effectively. Explore strategies for bouncing back from setbacks and sustaining peak performance. Work-Life Integration: Practical tools for achieving a balance between professional ambitions and personal well-being. Discover how to create boundaries, manage energy levels, and ensure self-care remains a priority. Mental and Emotional Wellness: Techniques for fostering mental clarity and emotional intelligence. Learn how to cultivate mindfulness, manage negative emotions, and stay motivated during challenging times. 3. Wealth and Financial Empowerment: Owning Your Future Financial Literacy for Leaders: Understand key financial concepts and how they impact decision-making at the leadership level. Learn how to manage budgets and understand financial reports. Negotiating for Success: Master the art of negotiation to advocate for fair compensation, promotions, and leadership opportunities. Learn how to confidently ask for what you’re worth and break through the gender pay gap. Building Sustainable Wealth: Develop long-term financial strategies to secure your financial independence. From building income streams to planning for the future, learn how to make empowered financial decisions. For more information email: engage@puritas.org.uk or visit www.puritas.org.uk

Learn how to use this innovative tool to analyse and validate your schedule, to add and model uncertainty and risk and to work with updated plans to compare project progress. Course overview Duration: 1 day (6.5 hours) This course looks at the powerful features of Nodes and Links. It looks at analysing and validating your schedule, adding uncertainty and risk and working with updated plans to compare project progress. Hands on practice will be gained throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Nodes and links, no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import and validate plans Analyse and review plans Add and model uncertainty Add and model risk Load updated schedules Re run analysis on updated schedules Content Validating your plan Importing a baseline plan Running a health check Analysing the results Reviewing the plan Analysing critical paths Reviewing activities Reviewing resources Adding Uncertainty Setting uncertainty templates Distributions Adding uncertainty Using Inherit Using AI Reviewing activity distributions Modelling Uncertainty Running the Analysis Reviewing the results Reviewing activity results Risk Drivers Filtering for activities Setting up the Risk Register Setting Risk Templates Adding Risks to the Risk Register Independent vs Dependant Events Setting Probability and Impact Modelling Uncertainty and Risk Mapping risks to activities Running the Analysis Reviewing the results Updated Plans Importing a new plan version Comparing plans Tracking progress Trend analysis Analysing Updated Plans Using updated plans Synchronising uncertainly and risk Rerunning analysis

AS YOU DELIVER THIS INFORMATION, YOU ARE COACHED TO IMPROVE YOUR PUBLIC-SPEAKING STYLE IN THESE (AND A FEW OTHER) AREAS: BODY LANGUAGE, POSTURE, WORD CHOICE, CONFIDENCE, EYE CONTACT, VERBAL TICS/FILLER WORDS, AND VOLUME. You will be coached to overhaul your content and visual aids (frequently PowerPoint) used during the presentation by: stating your purpose clearly, reducing the amount of text on slides, making messages more user-friendly, and choosing best graphics to support message. Attendees Will Be Able To: Increase ability to motivate the audience by delivering organized and engaging presentations; Gain more efficiency by crafting carefully-worded, streamlined messages, free of verbal tics and filler words; Increase enthusiasm through focus on body language and stage presence; and Convince listeners with strong evidence presented in speech and visual aids. Online Format—Advanced Presentation Skills is a 4-hour interactive virtual class for up to six people. Register for this class and you will be sent ONLINE login instructions prior to the class date. The Diversity Sensitivity & Awareness workshop was excellent. It provided a unique approach to addressing the topic. The session was interactive, interesting and very informative, leaving participants with a greater understanding of the merits of diversity and an inspiration to continue to broaden that knowledge base. Sandra Hess Moll, Director of Employment Services / Affirmative Action CoordinatorMcHenry County College

The course is designed for Google Ads (Google AdWords) practitioners that already have basic knowledge in setting up and running AdWords accounts. The course explores advanced techniques and ideas that I have picked up and developed over 10 years running AdWords campaigns for small to large scale clients. I explain the idea behind each technique and I give you ideas and example cases on how I have used it. I then show you how to set it up step by step inside Google Ads. We also look at how to interpret results and how to apply it to your own campaigns, we look at real data and actual results. What you'll learn Google Ads Campaign Experiments: Best Use Cases, Step-by-Step Setup, Analysis, Implementation Access Google Ads tools for forecasting performance Budget Optimisation techniques using regression formula Advanced Concept Testing: moving beyond A/B ad testing to testing concepts Improving Geotargeting for Local Businesses With A Double Campaign Structure How To Setup, Run, Pivot & Interpret the Paid & Organic Report Make A Strong Argument For Running Branded Ads Using the Paid & Organic Report Identify Opportunities Between Organic & Paid Listings Learn to use a free Google Sheets template for automating and tracking budgets in multiple ad accounts How to find the key pitfalls in any Google Ads account How to Audit a new or existing Google Ads account and find issues to improve upon quickly Utilise Dynamic Ad Customisers for more personalised ads Understand the power of using Google Analytics with Google Ads and be familiar with Audience setup and relevant Google Ads reports in GA Understand attribution models and why the default last click is not always ideal Implement Machine Learning features within Google Ads to benefit your account in ways that human optimisation could never reach Develop a multi-funnel remarketing strategy for GDN and search campaign Requirements Able to set up your own Google Ads account Be confident navigating Google Ads accounts Basic exposure to excel filtering & pivot tables Introduction 1. Introduction 00:02:00 Testing to Ad Concepts 2. Introduction to Ad Concepts 00:02:00 3.Example Ad Concepts 00:04:00 4. Label Setup 00:04:00 5. Reporting on Ad Concepts 00:08:00 Google Ads Paid % Organic Interaction Report 6. Understanding the usefulness of this report 00:03:00 7.Linking Google Ads with Search Console 00:04:00 8.Excel Report Setup & Pivot 00:04:00 9.Identifying Google Ads & SEO Search Term Opportunities 00:02:00 10.CTR Interaction between SEO & SEM 00:06:00 Geolocal Campaigns - Double Campaign Structure 11.The theory behind the double campaign 00:04:00 12.A practical example inside Google Ads 00:03:00 Google Ads Campaign - Experiments (Drafts & Experiments) 13.Introduction to Drafts & Experiments 00:05:00 14.Example experiment Ideas for use 00:06:00 15.Draft & Experiment Setup 00:10:00 16.Report Analysis & explanation of symbols 00:05:00 Automate Budgeting for Multiple Ad Accounts 17. Introduction to the Google Spreedsheet template 00:02:00 18. Data Inputs 00:04:00 19. Reading the sheet output 00:06:00 AdWords Audit 20. Audit Overview 00:02:00 21. Auditing the Account Structure 00:08:00 22. Campaign Settings 00:04:00 23. Auditing on the AdGroup Level 00:10:00 24. Other Things to look for in an Audit 00:08:00 Remarketing Strategy & Implementation 25. Why Remarketing Works 00:03:00 26.GDN Remarketing 00:06:00 27.Remarketing Lists for Search Ads (RLSA) & IF Statements 00:04:00 28. Customer Match (Email Retargeting) 00:01:00 29. Dynamic Remarketing 00:04:00 30. Lookalike Audiences 00:02:00 31. GDN Banner Sizes & Other Things to Consider 00:03:00 32. Audience List Sharing 00:14:00 33. Remarketing with Events 00:06:00 Artificial Intelligence & Machine Learning 34.What is AI & ML 00:06:00 35. Auto Rotate for Budgets & Ads 00:03:00 36.Dynamic Search Ads 00:03:00 37.Smart Bidding Strategies 00:07:00 38.Lookalike Audiences 00:02:00 39.Data Driven Attribution Models 00:03:00 Dynamic Ad Customisers 40.Introduction to Ad Customisers 00:04:00 41. Advantages & Example Uses 00:05:00 42.Setting up the Business Data Feed 00:06:00 43.Best Practice for Ads 00:03:00 Google Analytics for Google Ads 44. The Advantages of linking AdWords with GA 00:04:00 45. Linking GA & AdWords 00:02:00 46. AdWords Reports in GA 00:01:00 47. GA Conversion Tracking & Goal Setup 00:07:00 48. Remarketing Segments in GA 00:13:00 49. Attribution Models in Google Analytics 00:07:00 Using Scripts 50. Introduction to AdWords Scripts 00:04:00 51. 404 Link Checker Script 00:07:00 52. Experiment Results Script 00:07:00 53. Google Ads Audit Script 00:06:00 AdWords Editor 54. Introduction and advantages of AdWords Editor over the online interface 00:04:00 55. Example Uses for AdWords Editor 00:04:00 56.AdWords Editor - what you can't do 00:02:00 Competitor Research Tools 57.Auction Insights displayed graphically 00:17:00 58.3rd Party Competitor Research Tools -SEMrush 00:16:00 Landing Page Software 59.Why Use Landing Page Software 00:06:00 60.Unbounce Walk-through 00:08:00 61. Tracking integration for landing pages 00:09:00 New Features in 2018/19 62.Ad Variations 00:06:00 63.Search Responsive Ads 00:05:00 64. Life Events Audiences 00:04:00 65. Custom Intent Audiences 00:04:00

Discover the secrets of crafting the perfect espresso from the comfort of your home with our exclusive Home Barista Workshop at Etude Coffee. In this immersive two-hour session, set in the inviting atmosphere of our local roastery, you'll explore the essentials of espresso creation under the guidance of our expert baristas. Designed for coffee lovers at any skill level, this workshop is dedicated to unraveling the intricacies of using a home espresso machine. From selecting the ideal beans to achieving the perfect grind and tamp, you'll gain hands-on experience in extracting that flawless espresso shot. Moreover, we'll delve into the art of milk texturing, enabling you to prepare velvety smooth lattes and cappuccinos that elevate your home coffee experience to new heights. Whether you're a novice aiming to improve your morning coffee routine or a seasoned enthusiast looking to polish your espresso-making skills, this workshop offers valuable insights, practical expertise, and a warm community of coffee aficionados.