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ADO.NET training course description This ADO.net training course is designed to enable developers to use the toolset provided with.NET for data access including ADO.net objects, data controls, designers and interoperability with earlier ADO objects. The course is applicable for those using C# or VB.NET with ADO.NET What will you learn Retrieve and manipulate data using Microsoft's ADO.NET library. Work with the ADO.NET object model. Update data, including handling stored procedures, parameters, and return value. Search, sort and filter data. Leverage the power of XML. ADO.NET training course details Who will benefit: Programmers working with ADO.Net. Prerequisites: Effective programming with VB.NET or Concise introduction to C# Duration 2 days ADO.NET training course contents Introducing ADO.Net Traditional Data Access Architecture. ADO.Net Disconnected Data Access Architecture. Different components of ADO.Net. A review of basic SQL queries SQL SELECT Statement. SQL INSERT Statement. SQL UPDATE Statement. SQL DELETE Statement. Common data access tasks with ADO.Net Accessing Data using ADO.Net. Defining the connection string. Defining a Connection. Defining the command or command string. Defining the Data Adapter. Creating and filling the DataSet. A Demonstration Application The Interface. Loading the table. Filling the controls on the Form. Navigating through the records. Updating Data Steps for updating the table. Building the Application. Loading the table and displaying data in the form's controls. Initialising Commands. Adding Parameters to the commands. The ToggleControls() method of our application. Editing (or Updating) Records. Event Handler for the Save Button. Event Handler for the Cancel Button. Inserting Records. Deleting a Record. Using Stored Procedures Sample Stored Procedures. UPDATE Stored Procedure. INSERT Stored Procedure. DELETE Stored Procedure. SELECT Stored Procedure. Using Stored Procedures with ADO.Net.

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In this course, you will learn full-stack web development with React JS for the frontend and Python Django for the backend. You will learn and explore various databases such as Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, and SQLite.

Overview This comprehensive course on Digital Marketing Business Tips will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Digital Marketing Business Tips comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Digital Marketing Business Tips. It is available to all students, of all academic backgrounds. Requirements Our Digital Marketing Business Tips is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 9 lectures • 00:35:00 total length •Unit 1: You are Responsible for the Failure or Success of Your Business: 00:05:00 •Unit 2: Why Internet Marketing and Social Media are important for Businesses: 00:07:00 •Unit 3: How Google Search and Display Network Can Increase Your Sales: 00:07:00 •Unit 4: The More You Learn the More You Earn: 00:03:00 •Unit 5: Commitment: 00:02:00 •Unit 6: Telling is not Selling: 00:04:00 •Unit 7: Your Network is your Net-worth: 00:03:00 •Unit 8: How to become Digital Marketing and Sales Expert: 00:04:00 •Assignment - Digital Marketing Business Tips: 00:00:00

Overview This comprehensive course on Digital Marketing Business Tips will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Digital Marketing Business Tips comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Digital Marketing Business Tips. It is available to all students, of all academic backgrounds. Requirements Our Digital Marketing Business Tips is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 2 sections • 9 lectures • 00:35:00 total length •Unit 1: You are Responsible for the Failure or Success of Your Business: 00:05:00 •Unit 2: Why Internet Marketing and Social Media are important for Businesses: 00:07:00 •Unit 3: How Google Search and Display Network Can Increase Your Sales: 00:07:00 •Unit 4: The More You Learn the More You Earn: 00:03:00 •Unit 5: Commitment: 00:02:00 •Unit 6: Telling is not Selling: 00:04:00 •Unit 7: Your Network is your Net-worth: 00:03:00 •Unit 8: How to become Digital Marketing and Sales Expert: 00:04:00 •Assignment - Digital Marketing Business Tips: 00:00:00

This intermediate course provides hands-on training of white, grey, and black hat skills every cybersecurity professional needs to know.

Welcome to this practical hands-on bootcamp on JWT authentication. In this course, you will learn to build APIs using Java and Spring Boot followed by the process of securing them using JWT (JSON Web Token) and Spring security. Familiarize yourself with all the industry's best practices and standards along the way. All you need is your interest in learning about securing APIs at an industry-grade standard to get started.

Buy Big. Save Big! Save: £403! Offer Ends Soon; Hurry Up!! Want to learn Accountancy? This course will guide you in the right direction in the field of Accounting. Enrol in this comprehensive course and make yourself one step closer to achieving your career goal. This course includes: Introduction to Accounting The Role of an Accountant Accounting Concepts and Standards Double-Entry Bookkeeping Balance Sheet Expand your expertise with high-quality training - study the 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 this online training course. This course is endorsed by The Quality Licence Scheme and accredited by CPD (with 150 CPD points) to make your skill development and career progression related to Accountancy substantial and easier than ever! This course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of this course, you will receive an instant e-certificate as proof of the comprehensive skill development and competency. Add these amazing new skills to your resume and boost your employability by simply enrolling on this course. You will fulfil your dreams and prepare for your ideal career by taking this intensive this course. This course offers students an in-depth learning experience that they can work through at their own pace to advance their careers. This same course will teach you everything you need to know to advance in your chosen field. You'll get a free Student ID card by enrolling in this course. This ID card entitles you to discounts on bus tickets, movie tickets, and library cards. Enrolling in this course will help you find your dream career sooner than you ever imagined. With this program, you will stand out from the crowd and prepare for the career you want. Experts created this course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in this course right now, and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access this course materials and learn when it's convenient for you. Start your learning journey straight away with this course and take a step toward a brighter future! Why Prefer this Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD after completing this course. Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standard-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full tutor support on weekdays (Monday to Friday) Diploma in Accountancy at QLS Level 5 Module 01: Introduction to Accounting What Is Accounting? Accounting and Bookkeeping Who Uses Accounting Information? Accountability in Accounting Financial Statements How Different Business Entities Present Accounting Information Module 02: The Role of an Accountant What Is an Accountant? Roles and Responsibilities Important Skills Accounting Automation Transparency and Security Data Analysis Module 03: Accounting Concepts and Standards Introduction to Accounting Concepts Introduction to Accounting Standards Accounting Standards in the UK International Standards International Financial Reporting Standards Module 04: Double-Entry Bookkeeping Introduction of Double-Entry Bookkeeping What Does the Account Show? Account NameDebits and CreditsAccount Details Rules for Double-Entry Transactions Inventory Double-Entry Transactions for Inventory Returns of Inventory Drawings Income and Expenses How Many Different Expense Accounts Should Be Opened? Balancing Accounts General Rules for Balancing Accounts Module 05: Balance Sheet Introduction of Balance Sheet The Components of a Balance Sheet AssetsLiabilitiesNet Worth or Equity The Equation Understanding the Balance Sheet What Does the Date on the Balance Sheet Mean? Module 06: Income statement Understanding the Income Statement The Accrual Concept Revenue Expenses Net Income Interest and Income Taxes Bad Debt Expense Module 07: Financial Statements Introduction of Financial Statements Trial Balance Statement of Comprehensive Income Calculation of Profit Difference between Gross and Net Profits Trading Account Profit and Loss Account Statement of Financial Position Non-Current AssetsCurrent AssetsCurrent LiabilitiesNon-Current LiabilitiesCapital Module 08: Cash Flow Statements What Is a Statement of Cash Flows? What Is the Purpose of the Cash Flow Statement? Cash and Cash Equivalents Operating Activities Investing Activities Financing Activities Module 09: Understanding Profit and Loss Statement Introduction of Profit and Loss Account Measurement of Income Relation Between Profit and Loss Account and Balance Sheet Preparation of Profit and Loss Account Module 10: Financial Budgeting and Planning What Is a Budget? Planning and Control Advantages of Budgeting Developing the Profit Strategy and Budgeted Profit and Loss Statement Budgeting Cash Flow from Profit for the Coming Year Capital Budgeting Module 11: Auditing What Is an Audit? Types of Audits External AuditsInternal AuditsInternal Revenue Service (IRS) Audits Why Audits? Who's Who in the World of Audits What's in an Auditor's Report 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 give you 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. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Course Right for You? Anyone interested in learning more about this subject should take this course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. All are welcome to take this course. There are no prerequisites for enrollment, and you can access the course materials from any location in the world. This course is preferable for people who want to pursue a career in Aspiring Accountant Recent Graduates Individuals interested in building a career in this sector Individuals working in the relevant field Professionals who have rooms to improve skills and knowledge Requirements This course does not require any prior knowledge; everyone may participate! This course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your own speed while earning an industry-recognized certification. Career path This course will allow you to kickstart or take your career in the related sector to the next stage. Our whole course will assist you in achieving a position of respect and dignity, as well as allowing you to gain an advantage over your competitors. The certificate will strengthen your CV and assist you in finding work in the related industry. Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Accountancy at QLS Level 5 Hard copy certificate - £119 After successfully completing the Diploma in Accountancy at QLS Level 5 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 GBP inside the UK 129 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

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 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