Register on the Counselling Children & Supporting Their Wellbeing today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Counselling Children & Supporting Their Wellbeing course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Counselling Children & Supporting Their Wellbeing course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who Is This Course For: The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Counselling Children & Supporting Their Wellbeing course, all you need is a passion for learning, A good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Welcome 00:02:00 The Burden of Mental Health illnesses on children 00:10:00 Section 02: Prevalence Prevalence 00:05:00 Self-assessment Activity 00:02:00 Section 03: Definition of Mental Health What is mental health? 00:05:00 Common mental health disorders among children 00:06:00 Self-assessment activity 00:02:00 Section 04: Recognizing Mental Health Problems among Children Challenges in identifying mental health problems in children 00:04:00 Effective methods in the identification of mental health problems among children 00:04:00 Identifying Risk factors 00:09:00 Self-assessment activity 00:02:00 Section 05: Signs and symptoms of Mental Health Difficulties among Children Signs and symptoms of mental health problems in children 00:08:00 Section 06: How can we help children experiencing mental health difficulties? How mental health practitioners, social workers and educational staff can help 00:05:00 How parents and caregivers can help 00:03:00 Promoting positive factors in order to maximize positive outcomes 00:05:00 Section 07: Accessing External Support Systems External support agencies 00:02:00 Section 08: Testing Your New Knowledge and Skills Memory Points 00:03:00 Section 09: Bonus Counselling Children and Supporting Their Wellbeing - EBOOK 01:02:00 Assignment Assignment - Counselling Children & Supporting Their Wellbeing 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.
This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.
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 This basic course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of Java and object-oriented programming concepts. Attendees might include: Technically-minded attendees who want or who want to begin the process of becoming an OO application developer Technical team members from non-development roles, re-skilling to move into software and application development roles within an organization Recent college graduates looking to apply their college experience to programming skills in a professional environment, or perhaps needing to learn the best practices and standards for programming within their new organization Technical managers tasked with overseeing programming teams, or development projects, where basic coding knowledge and exposure will be useful in project oversight or communications needs Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in basic coding with Java, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn: The steps involved in the creation and deployment of a computer program What OO programming is and what the advantages of OO are in today's world To work with objects, classes, and OO implementations The basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction The basic constructs that all programming languages share The basic Java constructs supporting processing as well as the OO orientation How to use Java exception handling About and how to use classes, inheritance and polymorphism About use collections, generics, autoboxing, and enumerations How to take advantage of the Java tooling that is available with the programming environment being used in the class Getting Started with Programming, OO and Java Basics for Non-Developers is a skills-focused, hands-on coding course that teaches students the fundamentals of programming object oriented (OO) applications with Java to a basic level, using sound coding skills and best practices for OO development. This course is presented in a way that enables interested students to embrace the fundamentals of coding as well as an introduction to Java, in a gentle paced environment that focuses on coding basics.Students are introduced to the application development cycle, structure of programs, and specific language syntax. The course introduces important algorithmic constructs, string and character manipulation, dynamic memory allocation, standard I/O, and fundamental object-oriented programming concepts. The course explains the use of inheritance and polymorphism early on so the students can practice extensively in the hands-on labs. Structured programming techniques and error handling are emphasized. The course includes the processing of command line arguments and environment variables, so students will be able to write flexible, user-friendly programs. Students will leave this course armed with the required skills to begin their journey as a Java programmer using modern coding skills and technologies. Introduction to Computer Programming Introduction to Programming Programming Tools Programming Fundamentals Thinking About Objects Program Basics Programming Constructs Java: A First Look The Java Platform Using the JDK The Eclipse Paradigm Writing a Simple Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Getting Started with Java Adding Methods to the Class Language Statements Using Strings Specializing in a Subclass Essential Java Programming Fields and Variables Using Arrays Java Packages and Visibility Advanced Java Programming Inheritance and Polymorphism Interfaces and Abstract Classes Exceptions Java Developer's Toolbox Utility Classes Enumerations and Static Imports Formatting Strings Collections and Generics Introduction to Generics Collections
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
Critical Thinking and Creative Problem Solving: On-Demand Two critical skillsets for the future of work are critical thinking and creative problem solving. These modes of working and thinking intersect and overlap; both are necessary and both can be taught. Having the ability to exercise creativity while at the same time applying structure and discipline to the thinking process is a key competency in the twenty-first century workplace. This course explores the interplay between critical and creative thinking, and the necessity of each to effective problem solving and decision making. Participants will learn a variety of techniques to apply critical thinking to real-life scenarios. They will experiment with different problem-solving approaches and will learn about cognitive influences on our decisions and choices. The course delves into the business value of creativity and involves participants in actively integrating criticality, creativity, and problem solving. What you will Learn At the end of this program, you will be able to: Explain basic concepts of problem solving Infer types of cognitive biases that impact decision making Utilize types of root cause analysis Differentiate among obstacles to sound decision making Apply a variety of problem-solving approaches / processes to existing challenges Evaluate alternative solution methods using various techniques Analyze real world problem scenarios to determine the lateral thinking type needed to address them Foundation Concepts Definitions Thinking modes and cognitive bias Basic problem-solving framework Problem Definition and Solution Generation Root cause analysis Basic problem-solving obstacles Generating alternative solutions Evaluating Alternatives Critical thinking guidelines Obstacles to sound decision making Tools for evaluating alternatives Exploring Lateral Thinking Problem-solving challenge Workplace application
Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Photography for Beginners course might help you get there! Expand your expertise with high-quality training - study the Photography for Beginners course 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 theonline training course. The Photography for Beginners 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 the Photography for Beginners course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course. This Photography for Beginners training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer Us? Opportunity to earn a certificate accredited by CPDQS. 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. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of this course: Photography for Beginners Course Introduction Introduction to the Photography Masterclass How Does a Camera Work Lecture Types Exposure Intro to Exposure What is Aperture What is Shutter Speed Digital Photography Masterclass Intro to Composition The Rule of Thirds Negative Space Focus and Depth of Field Intro to Focus and Depth of Field Understanding Depth of Field How to Get a Blurrier Background Camera Anatomy Intro to Camera Anatomy The Main Camera Features Camera Scene Modes White Balance and Color Intro to White Balance and Color What is White Balance The Kelvin Light Temperature Scale Lighting Intro to Lighting Using Natural Light Using Natural Light a Window Mobile Photography Intro to Mobile Photography Using a Smartphone Camera Exposing Properly With the Smartphone Camera Equipment - Cameras Intro to Cameras Camera Types What is Your Budget Equipment - Lenses Intro to Lenses A Deeper Dive into Focal Length A Deeper Dive Into Aperture Equipment - Accessories Intro to Camera Accessories Memory Cards Batteries Photo Scenario - Portrait Intro to Scenarios Intro and Tips for Portrait Photography Portrait Photo Demo Photo Scenario - Long Exposure Intro and Tips for Long Exposure Photography Daytime Long Exposure Demo Activity: Portrait Photo Scenario - Landscape Intro and Tips for Landscape Photography Landscape Photo demo Activity: Landscape Photo Scenario - Product Intro and Tips for Product Photography Product Photo Demonstration with Natural Light Product Photography with Lights Photo Scenario - Low Light Intro and Tips for Low Light Photography Low Light Demo Activity - Low light Photo Scenario - Sports & Action Intro and Tips for Sports and Action Photography Sports Photography Activity: Action and Sports Photo Scenario - Macro Intro and Tips for Macro Photography Macro Photography Demo Activity: Macro Photo Scenario - Street & Architecture Street Photo demo Activity: Street & Architecture Photo Scenario - Events Intro to Event Photography A Chat About Event Photography Bring the Right Tools Photo Scenario - Aerial Intro to Drone Photography Our Recommended Drone Equipment Photo Scenario - Night Intro and for Night Photography Night Photo Demo Activity - Night Intro to Photo Editing Intro to Editing Activity - Photo Editing Photoshop CC Intro Photoshop Opening Photos in Photoshop CC Cropping in Photoshop CC Lightroom Classic CC Intro to Lightroom Classic CC Importing and Organizing in Lightroom Classic CC Crop and Rotate Lightroom Classic CC Lightroom CC Intro to Lightroom CC Import and Organize in Lightroom CC Crop and Rotate in Lightroom CC Mac Photos Intro to Mac Photos Importing and Organizing Mac Photos Google Photos Intro to Google Photos Importing and Organizing in Google Photos Photoshop Express Intro to Photoshop Express Importing and Understanding the Workspace in Photoshop Express Snapseed Intro to Snapseed Opening Photos and Navigating the App Making Adjustments and Editing Exposure Sharing Your Photos Intro to Sharing Online Platforms for Photographers Starting a Photo Business Finding Your First Client Payments and Accounting Selling Stock Photos Intro to Stock Photography The Best Stock Photos Sites to Sell on Printing How to Print Your Photos How Big Can You Print Your Photos Framing Wildlife Intro and Tips for Wildlife Wildlife Photography Demonstration Conclusion Thank You and Conclusion Video Photo Submission Submit Your Photos Assessment Process Once you have completed all the modules in this course, you can assess your skills and knowledge with an optional assignment. Certificate of Completion The learners have to complete the assessment of this Photography for Beginners course to achieve the CPDQS accredited certificate. Digital Certificate: £10 Hard Copy Certificate: £29 (Inside UK) Hard Copy Certificate: £39 (for international students) CPD 25 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Photography for Beginners course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career.
Learn Java programming step-by-step with 250 core features and 200+ code examples, perfect for absolute beginners. This hands-on course covers everything from basic concepts to advanced topics such as functional programming and exception handling using JShell and Eclipse as an IDE. Gain a solid foundation in Java and kickstart your programming career.
This course explores why our energy system can become blocked and the impact those blocks have on our physical and mental health. We look at methods to clear those blocks and to be able to restore balance to the Aura and Chakra system. We explore in detail the intrinsic power of the Aura and Chakra systems and how they interact with the physical and emotional self.
Overview The Computer Programming Specialist Certificates course covers fundamental concepts of computer programming, including basic terms, computer anatomy, software development, networking, internet security, application basics, web browsing, file management, and more. Participants will gain the necessary skills to become proficient in computer programming. Learning Outcomes: Develop a strong understanding of basic computer terms, the anatomy of a PC, and how a PC works. Gain knowledge about different types of software, operating systems, and legal issues related to computer programming. Learn about networking basics, internet concepts, internet security, and the role of computers in the workplace. Understand the basics of application development and working with various applications. Acquire skills in web browsing, managing web pages, and working with bookmarks. Learn how to manage files and folders, customize computer settings, and perform basic tasks on a computer. Familiarize yourself with printing techniques, file compression, and maintaining data security. Why buy this Computer Programming Specialist Certificate? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Computer Programming Specialist Certificate 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? Aspiring software developers seeking foundational knowledge. Individuals interested in a career shift to technology sectors. University students supplementing their IT or Computer Science degrees. Entrepreneurs needing coding skills for tech startups. Hobbyists eager to create personal digital projects. Prerequisites This Computer Programming Specialist Certificate does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Computer Programming Specialist Certificate 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 Software Developer: £25,000 - £70,000 Per Annum Database Administrator: £30,000 - £60,000 Per Annum Systems Analyst: £35,000 - £65,000 Per Annum Web Developer: £24,000 - £50,000 Per Annum IT Project Manager: £40,000 - £80,000 Per Annum Data Analyst: £26,000 - £60,000 Per Annum Course Curriculum Module 01 Basic Terms 00:15:00 Types of Computers 00:15:00 Anatomy of a PC 00:30:00 How a PC Works 00:15:00 CPU and Memory 00:30:00 Input Devices 00:15:00 Output Devices 00:15:00 Secondary Storage Devices 00:30:00 The Basics 00:15:00 Operating Systems and Applications 00:30:00 How is Software Built 00:15:00 Types of Software 00:15:00 Legal Issues 00:15:00 Module 02 Basic Terms 00:15:00 Advanced Terms 00:15:00 Networking Basics 00:15:00 Basic Internet Concepts 00:30:00 Internet Security 00:30:00 Computers in the Workplace 00:15:00 Tele-Commuting 00:15:00 The Electronic World 00:15:00 Ergonomics 00:15:00 Safety and the Environment 00:15:00 Being Proactive 00:15:00 Identifying Yourself 00:15:00 Protecting Your Data 01:00:00 Understanding Malware 00:15:00 Protecting Against Malware 00:15:00 Module 03 Application Basics 00:30:00 Basic Applications 01:00:00 Working with a Window 01:00:00 Working with WordPad 01:00:00 Working With Applications 01:00:00 Basics of Web Browsers 01:00:00 Browsing the Web 00:15:00 Working with Bookmarks 01:00:00 Working With Web Pages 01:00:00 Printing Web Pages 01:00:00 Module 04 First Steps 00:30:00 Basic Tasks 01:00:00 Using the Desktop 00:15:00 Customizing Your Computer 00:15:00 Printing 00:15:00 The Basics of Files and Folders 00:10:00 Managing Files and Folders, Part I 01:00:00 Managing Files and Folders, Part II 00:15:00 Viewing File or Folder Properties 00:30:00 Working With Files and Folders 00:30:00 Compressed Files 00:05:00 Assignment Assignment - Computer Programming Specialist Certificate 00:00:00