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Are you looking to improve your current abilities or make a career move? Our unique Performance Coaching and Mentoring Course might help you get there! Expand your expertise with high-quality training - study Performance Coaching and Mentoring and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the Performance Coaching and Mentoring online training course. This Diploma in Performance Coaching course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points) to make your skill development & career progression more accessible than ever! With this comprehensive Performance Coaching and Mentoring course, you can achieve your dreams and train for your ideal career. The Performance Coaching and Mentoring course provides students with an in-depth learning experience that they can work through at their own pace to enhance their career development. This Performance Coaching and Mentoring training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join the Performance Coaching and Mentoring course today - gear up with the essential skills to set yourself up for excellence! Why Prefer This Performance Coaching Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Performance Coaching course Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments. 24/7 tutor support. Start your learning journey with this Performance Coaching and Mentoring course straight away and take a step forward in securing a better future! Why should you choose the Performance Coaching and Mentoring course with Academy for Health & Fitness? Opportunity to earn a certificate accredited by CPDQS after completing this course. Student ID card with amazing discounts - completely for FREE! (£10 postal charge will be applicable for international delivery) Globally accepted standard structured lesson planning. Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the Performance Coaching program in your own time, at your own pace Each of our students gets full 24/7 tutor support. Skills You Will Gain Performance management Personal communication Motivation techniques Interpersonal skills Leadership qualities ****Course Curriculum**** Here is the curriculum breakdown of this Performance Coaching and Mentoring course: Module 01: Introduction to Performance Coaching Coaching Versus Other Disciplines What Are the Benefits of Coaching? Performance Coach Required Skills, Roles, and Responsibilities Module 02: The Coach/Client Relationship Establishing a Relationship Core Elements of the Effective Coaching Relationship Effective Communication Listening Skills Asking Good Questions Giving Feedback Responsibilities Module 03: Coaching and Mentoring Models A General Introduction to Models The GROW Model The OUTCOMES Model The JOHARI Window The FLOW Model The SOS Model The Cyclical Mentoring Model The Double Matrix Mentoring Model Module 04: Ethical Aspects of Coaching and Mentoring The Association for Coaching's Guiding Principles Reputation Association for Coaching (AC) and European Mentoring and Coaching Council (EMCC) Code of Ethics, including: International Coach Federation (ICF) Standards of Ethical Conduct, including General Professional Conduct Professional Conduct with Clients Confidentiality and Privacy Conflicts of Interest Module 05: Effective Communication Skill Creating a Good Coaching & Mentoring Relationship Using Appropriate Language Listening at a Deep Level Asking Effective Questions Limiting Beliefs and Assumptions Giving Effective Feedback Communicating Non-Verbally Presence and Silence Module 06: Personal Skills Time Management Stress Management Emotional Management and Happiness Maintenance Assertiveness Negotiation Module 07: Management Skills Motivation Leading Delegation Decision Making and Problem-Solving Project Management Module 08: Organisational Skills Introduction to Organisational Skills Importance of Organisational Skills Organising Life Coach Business Organising Daily Work Organising Workplace Organising Tools Cultivating Organisational Habits Module 09: Motivation and Mindset What is Motivation? Types of Motivation History of Motivation Motivating Yourself Motivation and Inspiration Coaching and Motivation What is Mindset? Benefits of Mindset Coaching Mindset Coaching Life Coach vs Mindset Coach Module 10: Key Themes of NLP What is NLP? Pillars of NLP Models and Modelling NLP Presuppositions Module 11: The Relationship Between Stress and Performance: The Inverted-U Theory What Is Stress? What Is the Inverted-U Relationship Between Stress and Performance? Optimal Pressure for Better Performance Module 12:Leadership Under Pressure What Is Leadership? Leadership Is About the People Qualities You Require to Be a Good Leader Safe Leader vs Real Leader Leadership to Create a High-Performance Environment 4 Key Leadership Skills to Thrive Under Pressure Module 13: Setting Up as a Coach Sustainable & Profitable Coaching Business Tips and Traps of Coaching Measurement of Coaching Ethics and Standards Terms and Conditions Toolkit for Coaching Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and provide you with feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. Show off Your New Skills With a Certificate of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - £119 inside the UK £129 (including postal fees) for international delivery Certificate Accredited by CPD Upon finishing the course, you will receive a Certificate Accredited by CPD that is recognised all over the UK and internationally. The pricing schemes are- 10 GBP for Digital Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Performance Coaching and Mentoring course do not require you to have any prior qualifications or experience. There are no prerequisites for enrollment, and you can access the course materials from any location in the world. However, this could be a perfect match for, Anyone interested in this area Those who want to get professional expertise in this field Performance analyser Coaching Career Growth Hacker Motivational Leader Existing professionals looking for a certificate Requirements There are no previous knowledge requirements for the Performance Coaching and Mentoring program; this is open to anyone! Any learning enthusiast from anywhere in the world can enrol on this course without any hesitation. Career path The Performance Coaching and Mentoring course aims to help you get the job or even the long-awaited promotion of your dreams. With the support and proper guidance, you will learn the skills and knowledge that will help sharpen your career at; Coaching Corporate trainer Personal trainer Sports Teacher Motivational Speaker Sports Coaching Fitness trainer Corporate Leader Mentor Entrepreneur

The 'Linux Shell Scripting' course offers comprehensive training in shell scripting for Linux environments. From creating a local Linux shell scripting environment to network scripting and automation, learners will develop practical skills to automate tasks, process data, and improve efficiency using shell scripts. Learning Outcomes: Set up a local Linux shell scripting environment for practical learning. Create shell scripts for user and account management, including password generation and handling shell script arguments. Apply Linux programming conventions to maintain clear and efficient code. Develop shell scripts that parse command-line options for flexible user interaction. Utilize shell scripting for data processing, transformation, and reporting tasks. Automate network scripting and distributed systems for enhanced efficiency. Summarize the key concepts and techniques learned throughout the course. Access additional course extras and resources for further exploration and practice. Why buy this Linux Shell Scripting? 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 Linux Shell Scripting there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Linux Shell Scripting course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Linux Shell Scripting does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Linux Shell Scripting was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Linux Shell Scripting is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: Course Introduction Introduction and Course Overview 00:02:00 Course Downloads 00:03:00 Unit 02: Creating a Local Linux Shell Scripting Environment Creating a Local Lab Environment Using Vagrant and VirtualBox - Background 00:16:00 Exercise 1 Instructions - Creating a Local Linux Shell Scripting Lab Environment 00:28:00 Exercise 1 - Walkthrough - Part I - Windows Users Only 00:04:00 Exercise 1 - Walkthrough - Part I - Mac Users Only 00:02:00 Exercise 1 - Walkthrough - Part I - Linux (CentOS/RHEL) Users Only 00:03:00 Exercise 1 - Walkthrough - Part II - All Users 00:23:00 Unit 03: User and Account Creation - Shell Scripting Project 1 Section Introduction 00:03:00 Getting Started with Shell Scripting: Naming, Permissions, Variables, Builtins. 00:35:00 Special Variables, Pseudocode, Command Substitution, if Statement, Conditionals. 00:23:00 Exit Statuses, Return Codes, String Test Conditionals, More Special Variables. 00:18:00 Reading Standard Input, Creating Accounts, Username Conventions, More Quoting. 00:23:00 Exercise 2 - Instructions 00:12:00 Exercise 2 - Walkthrough 00:21:00 Unit 04: Password Generation and Shell Script Arguments - Shell Scripting Project 2 Random Data, Cryptographic Hash Functions, Text and String Manipulation. 00:31:00 Positional Parameters, Arguments, for Loops, Special Parameters 00:30:00 The while Loop, Infinite Loops, Shifting, Sleeping 00:16:00 Exercise 3 - Instructions 00:12:00 Exercise 3 - Walkthrough 00:20:00 Unit 05: Linux Programming Conventions - Shell Scripting Project 3 Advanced Standard Input, Standard Output, and Standard Error - Part I 00:13:00 Advanced Standard Input, Standard Output, and Standard Error - Part II 00:26:00 Exercise 4 - Instructions 00:05:00 Exercise 4 - Walkthrough 00:12:00 Unit 06: Parsing Command Line Options - Shell Scripting Project 4 Case Statements 00:20:00 Functions 00:33:00 Parsing Command Line Options with getopts, Part 1 00:20:00 Parsing Command Line Options with getopts, Part 2 00:18:00 Deleting and Disabling Linux Accounts, Part 1 of 4 (Finding Files) 00:11:00 Deleting and Disabling Linux Accounts, Part 2 of 4 (The userdel command) 00:05:00 Deleting and Disabling Linux Accounts, Part 3 of 4 (Archives with tar) 00:14:00 Deleting and Disabling Linux Accounts, Part 4 of 4 (Disabling Accounts) 00:08:00 Deleting Users - Exercise 5 - Instructions 00:14:00 Deleting Users - Exercise 5 - Walkthrough 00:33:00 Unit 07: Transforming Data / Data Processing / Reporting - Shell Scripting Project 5 Cut and Awk 00:22:00 Cut and Awk Demonstration Script: Open Network Ports 00:10:00 Sort and Uniq 00:18:00 Parsing Log Files - Exercise 6 - Walkthrough 00:15:00 Sed 00:29:00 Unit 08: Network Scripting & Automation of Distributed Systems: Shell Scripting Project 6 Configuring a Mini Network and Scripting for Remote Systems 00:30:00 Scripting Remote Commands - Walkthrough - Part 1 00:26:00 Scripting Remote Commands - Exercise - Instructions 00:12:00 Scripting Remote Commands - Walkthrough - Part 2 00:13:00 Unit 09: Course Summary Summary 00:08:00 Unit 10: Course Extras What Shell Scripting Is and Why You Should Learn It 00:10:00 Resources Resources - Linux Shell Scripting 00:00:00 Assignment Assignment - Linux Shell Scripting 00:00:00

Duration 3 Days 18 CPD hours This course is intended for This is an introductory level course for experienced software developers seeking to enhance and extend their core web development skillset leveraging JavaScript. Attendees should have practical experience developing basic software applications. This course provides an excellent foundation for continued learning to gain in-demand skills in in-demand skills and technologies such as NodeJS, Angular, React, Redux and more. This course can also be tailored for less experienced or non-developers as needed. Please inquire for details. Overview Throughout this course, students will explore the practical use of the umbrella of technologies that work in conjunction with JavaScript as well as some of the tools, toolkits, and frameworks that can be used in conjunction with web development and deployment. The course thoroughly explores JavaScript and how it is used within the context of web applications, walking students through the different technologies that are used with JavaScript and exploring core aspects of JavaScript in terms of web applications, security, tools, and frameworks. This skills-focused course is approximately 50% hands-on lab to lecture ratio. Our instructors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment guided by our expert team, attendees will learn to: Understand what JavaScript is and how it is used within the context of web applications Work with the different technologies that are the foundation for web applications. Understand and work with the fundamental aspects of JavaScript in terms of web applications, security, tools, and frameworks Learn to how to effectively work with the newest advances in JavaScript such as ES6 and TypeScript Develop code using conventions and optimal constructs for performance Introduction to JavaScript | Modern JavaScript Essentials is a hands-on geared for web developers who need to learn basic JavaScript to use with today's systems and architectures to build sophisticated web interfaces. The training will guide students through a balanced mixture of theory and practical labs to gain core JavaScript development skills and have them explore its related technologies through to the use of tools and libraries to ease the development of advanced web applications. Course attendees will be able to hit the ground running right after class, applying essential JavaScript to projects at both an architectural as well as a line by line coding level. HTML Refresher (optional) HTMLÿ HTML5 CSS Refresher (optional) CSSÿ CSS3 Overview Introduction to JavaScript JavaScript Basics Debugging Tools JavaScript Functions JavaScript Arrays, Math and Date JavaScript Event Handling and the DOM Object-Oriented JavaScript Advanced JavaScript Topics The Next Step TypeScript Introduction to JSON and Ajax JavaScript Best Practices JavaScript Scheduling, Execution, and Security HTML5 JavaScript API Working with XML (Optional) XML DOM Mechanics XSLT Applied Additional course details: Nexus Humans Introduction to JavaScript | Modern JavaScript Essentials (TT4110) 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 Introduction to JavaScript | Modern JavaScript Essentials (TT4110) 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.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 5 Days 30 CPD hours This course is intended for Students in this course are interested in Microsoft 365 development platform or in passing the Microsoft 365 Developer Associate certification exam. Students should also have 1-2 years experience as a developer. This course assumes students know how to code and have a basic understanding of REST APIs, JSON, OAuth2, OData, OpenID Connect, Microsoft identities including Azure AD and Microsoft accounts, Azure AD B2C, and permission/consent concepts. Overview Implementing Microsoft Identity Working with Microsoft Graph Determining workload platform targets Integration Points, including Microsoft Teams, Office Add-ins, and SharePoint Framework This course covers five central elements of Microsoft 365 platform ? implementing Microsoft Identity, working with Microsoft Graph, extending and customizing SharePoint, extending Teams, and extending Office. In this course, students will learn how to implement Microsoft Identity and work with Microsoft Graph. Students will also gain the knowledge on UI elements (including Adaptive Cards and UI Fabric), Integration Points (including Microsoft Teams, Office Add-ins, SharePoint Framework, Actionable Messages), and determining workload platform targets. In implementing Microsoft Identity, students will learn to implement Microsoft identity including registering an application, implanting authentication, configuring permissions to consume an API, and creating a service to access Microsoft Graph. In working with Microsoft Graph, students will learn how to access user data, explore query parameters, manage a group lifecycle, access files, and optimize network traffic using Microsoft Graph. In extending and customizing SharePoint, students will learn about SharePoint Framework web parts, extensions, and how to package and deploy a SPFx solution. In extending Teams, students will look at the components of a Teams App, work with webhooks, tabs, and conversational bots. In extending Office, students work with Office Add-ins, task pane add-ins, JavaScript APIs, Office UI Fabric, and actionable messages with adaptive cards. Implement Microsoft Identity Microsoft Identity platform Register an Application Implement Authentication Configure Permissions to consume an API Implement Authorization to consume an API Implement Authorization in an API Create a Service to access Microsoft Graph Work with Microsoft Graph What is Microsoft Graph Access user data from Microsoft Graph Data usage with query parameters Manage a group lifecycle on Microsoft Graph Access files with Microsoft Graph Optimize network traffic Extend and Customize SharePoint SharePoint Framework web parts SharePoint Framework extensions Package and deploy a SPFx solution Consumption of Microsoft Graph Consumption of 3rd party APIs secured with Azure AD from within SPFx Web Parts as Teams Tabs Branding and theming in SharePoint Extend Teams Microsoft Teams App Webhooks in Microsoft Teams Tabs in Microsoft Teams Messaging extensions in Microsoft Teams Conversational bots in Microsoft Teams Extend Office Office Add-ins Office JS APIs Customization of Add-ins Testing, debugging, and deployment options Actionable message Additional course details: Nexus Humans MS-600T00 Building Applications and Solutions with Microsoft 365 Core Services 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 MS-600T00 Building Applications and Solutions with Microsoft 365 Core Services 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.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Learning Objectives Introduction , Customizing Excel , Analyzing Data with Logical Functions , Working with Lookup Functions , Using Text Functions , Working with Date and Time Functions , Formula Auditing , What-If Analysis , Worksheet and Workbook Protection , Automating with Macros , Working with Form Controls , Ensuring Data Integrity , Collaborating in Excel , Importing and Exporting Data to a Text File , Conclusion   Pre-Requisites Excel 365 Introduction and Intermediate courses or equivalent experience.   Description This course will teach students advanced concepts and formulas in Microsoft Excel 365. Students will learn functions such as SUMIF, AVERAGEIF, and COUNTIF, advanced lookup functions, and complex logical and text functions. Additionally, students will experiment with auditing formulas and error checking, use the What-If Analysis tools, learn the options for worksheet and workbook protection, review advanced use of PivotTables and PowerPivot add-in, work with Macros, use form controls, and ensure data integrity in their worksheets and workbooks. Students will also learn about Excel's many collaboration features and import and export data to and from their workbooks. Course Introduction Introduction 00:01:00 Section 01 Lesson 01-Customizing the Ribbon 00:09:00 Lesson 02-Customizing the Quick Access Toolbar 00:06:00 Lesson 03-Customizing the General and Formula Options 00:04:00 Lesson 04-Customizing the AutoCorrect Options 00:03:00 Lesson 05-Customizing the Save Defaults 00:04:00 Lesson 06-Customizing Advanced Excel Options 00:03:00 Section 02 Lesson 01-Working with the Most Common Logical Functions 00:03:00 Lesson 02-Understanding IF Functions 00:06:00 Lesson 03-Evaluating Data with the AND Function 00:05:00 Lesson 04-Evaluating Data with the OR Function 00:03:00 Lesson 05-Creating a Nested IF Function 00:05:00 Lesson 06-Using the IFS Function 00:03:00 Lesson 07-Summarizing Data with SUMIF 00:03:00 Lesson 08-Summarizing Data with AVERAGEIF 00:02:00 Lesson 09-Summarizing Data with COUNTIF 00:02:00 Lesson 10-Summarizing Data with MAXIFS and MINIFS 00:03:00 Lesson 11-Using the IFERROR Function 00:03:00 Section 03 Lesson 01-What are Lookup Functions 00:03:00 Lesson 02-Using VLOOKUP 00:08:00 Lesson 03-Using HLOOKUP 00:03:00 Lesson 04-Using VLOOKUP with TRUE 00:04:00 Lesson 05-Using HLOOKUP with TRUE 00:02:00 Lesson 06-Using the Index Function 00:03:00 Lesson 07-Using the MATCH Function 00:03:00 Lesson 08-Combining INDEX and MATCH 00:04:00 Lesson 09-Comparing Two Lists with VLOOKUP 00:02:00 Lesson 10-Comparing Two Lists with VLOOKUP and ISNA 00:04:00 Lesson 11-Using the New XLookup Function-v2 00:07:00 Lesson 12-Using Dynamic Array functions-v2 00:06:00 Lesson 13-Other New Functions-v2 00:04:00 Section 04 Lesson 01-What are Text Functions 00:01:00 Lesson 02-Using CONCAT, CONCATENATE, AND TEXTJOIN 00:04:00 Lesson 03-Using Text to Columns 00:02:00 Lesson 04-Using LEFT, RIGHT, and MID Functions 00:03:00 Lesson 05-Using UPPER, LOWER, and PROPER Functions 00:02:00 Lesson 06-Using the Len Function 00:03:00 Lesson 07-Using the Trim Function 00:01:00 Lesson 08-Using the SUBSTITUTE Function 00:02:00 Section 05 Lesson 01-What are Date and Time Functions 00:02:00 Lesson 02-Using TODAY, NOW, and DAY Functions 00:03:00 Lesson 03-Using NETWORKDAYS and YEARFRAC Functions 00:03:00 Section 06 Lesson 01-Showing Formulas 00:03:00 Lesson 02-Tracing Precedents and Dependents 00:04:00 Lesson 03-Adding a Watch Window 00:04:00 Lesson 04-Error Checking 00:04:00 Section 07 Lesson 01-Using the Scenario Manager 00:07:00 Lesson 02-Using Goal Seek 00:03:00 Lesson 03-Analyzing with Data Tables 00:04:00 Section 08 Lesson 01-Understanding Protection 00:02:00 Lesson 02-Encrypting Files with Passwords 00:05:00 Lesson 03-Allowing Specific Worksheet Changes 00:02:00 Lesson 04-Adding Protection to Selected Cells 00:03:00 Lesson 05-Additional Protection Features 00:03:00 Section 09 Lesson 01-What are Macros 00:03:00 Lesson 02-Displaying the Developer Tab 00:03:00 Lesson 03-Creating a Basic Formatting Macro 00:05:00 Lesson 04-Assigning a Macro to a Button 00:03:00 Lesson 05-Creating Complex Macros 00:04:00 Lesson 06-Viewing and Editing the VBA Code 00:04:00 Lesson 07-Adding a Macro to the Quick Access Toolbar 00:03:00 Section 10 Lesson 01-What are Form Controls 00:02:00 Lesson 02-Adding a Spin Button and Check Boxes 00:04:00 Lesson 03-Adding a Combo Box 00:07:00 Section 11 Lesson 01-What is Data Validation 00:02:00 Lesson 02-Restricting Data Entry to the Whole Numbers 00:02:00 Lesson 03-Restricting Data Entry to a List 00:04:00 Lesson 04-Restricting Data Entry to a Date 00:02:00 Lesson 05-Restricting Data Entry to Specific Text Lengths 00:01:00 Lesson 06-Composing Input Messages 00:02:00 Lesson 07-Composing Error Alerts 00:03:00 Lesson 08-Finding Invalid Data 00:02:00 Lesson 09-Editing and Deleting Validation Rules 00:01:00 Section 12 Lesson 01-Working with Comments-v2 00:03:00 Lesson 02-Printing Comments and Errors 00:02:00 Lesson 03-Sharing a Workbook 00:04:00 Lesson 04-Co-Authoring in Excel 00:02:00 Lesson 05-Tracking Changes in a Workbook 00:03:00 Lesson 06-Working with Versions 00:03:00 Lesson 07-Sharing files Via Email-v2 00:03:00 Section 13 Lesson 01-Importing a Text File 00:04:00 Lesson 02-Exporting Data to a Text File 00:01:00 Course Recap Recap 00:02:00 Additional Materials Resource - Excel 365 Advanced 00:00:00 Final Exam Final Exam - Excel 365 Advanced 00:20:00

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Course Curriculum Introduction Introduction 00:01:00 The Legal Support Specialist: Definition - Titles and Role - Scope of Work The Legal Support Specialist: Definition - Titles and Role - Scope of Work 00:03:00 Working in a law firm or in-house legal department - Differences and advantages 00:07:00 Legal Framework for the Legal Support Specialist: Standards and code of conduct 00:08:00 The Job Description of Legal Assistants 00:09:00 Career Development Plan 01:48:00 Matter Management - The Legal Matter Life Cycle The Matter Management Life Cycle 00:03:00 Phase 1: Receive the Matter - The “Legal Service Order Form” 00:09:00 Phase 2: Assess the Matter - Conflict Check - KYC and DD checks 00:06:00 Phase 3: Assign the Matter - Criteria for team assignments 00:05:00 Phase 4: Engage the client - Letter of Engagements and Billing Arrangements 00:07:00 Phase 5: Deliver the work 00:02:00 Phase 6: Manage - Timekeeping - Understanding the billing system 00:03:00 Phase 6: Manage - Review of Narratives 00:05:00 Phase 7: Close the matter - Closure checklist and Lesson Learned 00:25:00 Files, Documents and Records Management File Management - How to create and manage a filing system for your company 00:07:00 Records and Documents Management 00:09:00 Mastering your soft skills Soft skills for Legal Assistants 00:03:00 Communication Skills - E-mail Communication Ettiquete 00:13:00 Emotional Intelligence at the workplace 00:25:00 Stress Management 00:15:00 Confidentiality at the workplace 00:09:00 Assessment Assessment - Paralegal Training Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00