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Embark on a transformative journey into the world of digital artistry with our comprehensive Basic Photoshop Training with GIMP course. Unleash your creativity as you delve into photo manipulation and graphic design. Whether you're a budding artist or a seasoned enthusiast, this course offers the perfect blend of theory and hands-on practice to master the intricacies of Adobe Photoshop and its online counterpart, Photoshop AI. Learning Outcomes: Gain proficiency in navigating Adobe Photoshop and Photoshop online. Acquire essential skills in image editing, including cropping, resizing, and resolution adjustments. Master advanced techniques such as layer manipulation and blending modes. Develop expertise in text effects, from glowing to gold, to add flair to your designs. Understand the fundamentals of GIMP, a powerful alternative to Adobe Photoshop, for versatile image editing. Why buy this Basic Photoshop Training With GIMP? 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 Basic Photoshop Training With GIMP 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 Basic Photoshop Training With GIMP course for? Aspiring graphic designers seeking to enhance their digital art skills. Photographers aiming to refine their editing capabilities. Students pursuing degrees in design, media, or related fields. Small business owners looking to create professional marketing materials. Individuals interested in exploring a career in digital design or visual communication. Prerequisites This Basic Photoshop Training With GIMP does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Basic Photoshop Training With GIMP 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 Graphic Designer: £20,000 - £35,000 Per Annum Digital Illustrator: £22,000 - £40,000 Per Annum Photo Editor: £18,000 - £30,000 Per Annum Web Designer: £21,000 - £35,000 Per Annum Social Media Content Creator: £18,000 - £32,000 Per Annum Marketing Assistant: £18,000 - £28,000 Per Annum Course Curriculum Section 01: Working with Photoshop Creating A New Document 00:01:00 Using Common Selection Tools 00:02:00 Understanding File Types and Modes 00:02:00 Cropping, Resizing and Resolution 00:03:00 Using Layers 00:02:00 Using Layer Blending Modes 00:02:00 Using the Text Tool 00:02:00 Using Glowing Text Effect 00:02:00 Using Gold Text Effect 00:02:00 Section 02: Working with GIMP Getting Started With GIMP 00:02:00 Creating, Saving and Exporting Images 00:02:00 Resizing, Cropping, Rotating and Flipping 00:02:00 Working with Layers 00:02:00 Working with Selection Tools 00:03:00 Working with Paint Tools 00:05:00

In this course, you will be learning one of the widely used deep learning frameworks, that is, PyTorch, and learn the basics of convolutional neural networks in PyTorch. We will also cover the basics of Python and understand how to implement different Python libraries.

Unlock the full potential of product management with our comprehensive course. Dive deep into product management fundamentals, Agile methodologies, and gain hands-on experience with essential project management tools, including Trello, Jira, Microsoft Teams, Planner, and ChatGPT. Elevate your career and drive success in the digital age.

Overview The transcription industry in the UK is booming, with an expected growth rate of 15% over the next 5 years. With the rise of remote work and AI technology still developing, skilled human transcriptionists are in high demand across multiple sectors. This comprehensive 12-module course provides intensive training on core transcription skills needed to begin a successful career in the field. Beyond surface-level instruction, the advanced modules empower you to handle complex specialist transcription work precisely and efficiently. With translators receiving an average salary of £22,000 per year in the UK, this transcription skills course opens up diverse, well-paid work options you can do from anywhere at your own pace. Join the high-growth transcription industry today with in-depth training tailored for real job readiness. Enrol today and take your first step towards a successful career in transcription! You Will Learn Following Things: Produce accurate transcriptions with confidence. Apply essential transcription techniques effectively. Enhance transcription speed and efficiency. Identify and pursue transcription opportunities successfully. Deliver professional-quality transcriptions consistently. This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Transcription Skills. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Transcription Skills course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? Individuals seeking a flexible, home-based career option. Those with strong attention to detail and a keen ear. People with excellent typing skills and a passion for language. Individuals are eager to learn new skills and explore the world of transcription. Those looking to supplement their income or transition into a new field. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Transcription Skills course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career path Transcriptionist: £18K to £30K/year. Medical Transcriptionist: £22K to £35K/year Legal Transcriptionist: £24K to £40K/year Captioner: £20K to £32K/year Subtitler: £22K to £35K/year Course Curriculum Transcription Module 1: Introduction 00:05:00 Module 2: Transcription Comprehension 00:04:00 Module 3: A Comprehension Example 00:07:00 Module 4: Transcription Accuracy 00:05:00 Module 5: Accuracy Examples 00:08:00 Module 6: Common Homophones 00:05:00 Module 7: Transcription Formatting 00:07:00 Module 8: Speaker Labeling 00:04:00 Module 9: Spelling 00:03:00 Module 10: Advanced Module 00:20:00 Module 11: Useful Transcription Tools 00:03:00 Module 12: Where & How to Find Transcription Opportunities 00:08:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course? 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 Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course 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 Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game 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 Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course 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 Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:02:00 Section 02: Setup Project Setup 00:15:00 Section 03: Scene Setup Scene Creation 00:07:00 Splash Scene 00:08:00 Main Menu Scene 00:33:00 Section 04: Grid & Gameplay Grid System 00:17:00 Grid System Part 2 00:26:00 AI 00:34:00 Section 05: Popups Game Over 00:28:00 Pause 00:23:00 Section 06: Extras Achievements 00:08:00 Extras & Going Forward 00:11:00 Assignment Assignment - Tic-Tac-Toe Clone - Perfect Cocos2d-x C++ Game Course 00:00:00

🚀 Unlock the Power of Data with Our Machine Learning Course! 🤖 Are you ready to dive into the revolutionary world of Machine Learning? Welcome to our comprehensive course designed to equip you with the skills and knowledge needed to harness the potential of data-driven decision-making. 🎓 Machine Learning has rapidly emerged as one of the most transformative technologies of the 21st century. From powering intelligent virtual assistants to revolutionizing healthcare diagnostics, its applications are boundless. With our expertly crafted course, you'll embark on a journey that will demystify the complexities of Machine Learning and empower you to leverage its capabilities for diverse purposes. 💡 Why Machine Learning? In today's data-driven world, organizations across industries are seeking professionals who can extract actionable insights from vast amounts of data. Machine Learning offers the tools and techniques necessary to analyze complex datasets, identify patterns, and make predictions with unprecedented accuracy. By mastering Machine Learning, you'll gain a competitive edge in the job market and position yourself as a valuable asset to any organization. 📈 What You'll Learn: Our Machine Learning course covers a wide array of topics, including: Fundamentals of Machine Learning algorithms Supervised, unsupervised, and reinforcement learning techniques Data preprocessing and feature engineering Model evaluation and validation Deep learning and neural networks Practical applications and case studies With hands-on projects and real-world examples, you'll not only understand the theory behind Machine Learning but also gain practical experience in implementing algorithms and solving complex problems. Whether you're a beginner or an experienced data professional, our course is tailored to accommodate learners of all levels. 📊 Who is this for? Our Machine Learning course is ideal for: Aspiring data scientists and analysts Software engineers looking to transition into Machine Learning roles Business professionals seeking to leverage data for strategic decision-making Students and academics interested in exploring the forefront of technology No matter your background or experience level, our course provides a solid foundation in Machine Learning principles and techniques, setting you on the path to success in this rapidly evolving field. 🌟 Career Path: By mastering Machine Learning, you'll open doors to a myriad of exciting career opportunities, including: Data Scientist Machine Learning Engineer AI Researcher Business Intelligence Analyst Data Engineer With the demand for Machine Learning professionals on the rise, employers are actively seeking individuals with the skills and expertise to drive innovation and deliver impactful solutions. Whether you're looking to advance your current career or embark on a new professional journey, our course will equip you with the tools and knowledge needed to thrive in today's competitive job market. 💼 FAQ: Q: Is prior programming experience required to enroll in the course? A: While prior programming experience can be beneficial, our course is designed to accommodate learners of all backgrounds. We provide comprehensive tutorials and resources to help you grasp the fundamentals of programming and get started with Machine Learning. Q: How long does it take to complete the course? A: The duration of the course varies depending on your pace and level of commitment. On average, most learners complete the course within 3 to 6 months. However, you have the flexibility to study at your own pace and revisit materials as needed. Q: Are there any prerequisites for enrolling in the course? A: While there are no strict prerequisites, familiarity with basic mathematics, statistics, and programming concepts can be advantageous. We provide supplementary materials and support to help you build the necessary foundation for success in the course. Q: Will I receive a certificate upon completion of the course? A: Yes, upon successfully completing the course requirements, you'll receive a certificate of completion that validates your proficiency in Machine Learning concepts and techniques. This certificate can enhance your credentials and demonstrate your expertise to potential employers. Q: How does the course structure accommodate working professionals? A: Our course offers flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. With on-demand access to course materials and resources, you can learn at your own convenience and progress at a pace that suits your lifestyle. Don't miss out on the opportunity to unlock your full potential with our Machine Learning course! Enroll today and embark on a transformative journey that will shape the future of your career. 🌐✨ Course Curriculum Module 1_ Introduction to Machine Learning Introduction to Machine Learning 00:00 Module 2_ Linear Regression Linear Regression 00:00 Module 3_ Logistic Regression Logistic Regression 00:00 Module 4_ Decision Trees and Random Forests Decision Trees and Random Forests 00:00 Module 5_ Support Vector Machines (SVMs) Support Vector Machines (SVMs) 00:00 Module 6_ k-Nearest Neighbors (k-NN) k-Nearest Neighbors (k-NN) 00:00 Module 7_ Naive Bayes Naive Bayes 00:00 Module 8_ Clustering Clustering 00:00 Module 9_ Dimensionality Reduction Dimensionality Reduction 00:00 Module 10_ Neural Networks Neural Networks 00:00

Description Register on the Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras 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 This 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) Certificate of Achievement 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.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. 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.   Course Content Course Introduction And Table Of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML Or DL For The Next AI Project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation And Sample Program To Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow Library Installation And Sample Program To Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation And Switching Theano And TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps And Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training And Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding The Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing The Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding The Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing The Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning For Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding The Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing The Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement By Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement By Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement By Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load The Trained Model As JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save And Load Model As YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load And Predict Using The Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load And Predict Using The Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load And Predict Using The Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load And Predict Using The Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction To Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading The Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule Using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Handwritten Digit Recognition Dataset MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model Using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN Using MNIST Large CNN using MNIST 00:09:00 Load And Predict Using The MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction To Image Augmentation Using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation Using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation Using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation Using Rotation And Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding And Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN Using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train And Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load And Predict Using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Dive into the world of project management with our comprehensive course! Master the fundamentals, explore advanced tools such as Jira, Microsoft Teams, and Trello, and gain real-world insights. From Agile methodologies to effective communication strategies, this course equips you with the skills to excel as a confident and successful project manager.

Getting Started The primary objective of this Diploma in Information Technology (IT) is to enhance learners' capacity to effectively address intricate applied computing challenges within the realm of information technology. Certainly, here are the key points summarizing the learning outcomes: Develop project management skills in IT. Explore the societal impact of information technology. Acquire the capability to design, plan, and organize technology-oriented projects. Demonstrate the ability to deliver projects on schedule, meeting high-quality standards, and adhering to budget constraints. Key Benefits Gain an understanding of the descriptions of internet protocols associated with each layer of the networking stack. Demonstrate the capability to evaluate the suitability of big data technologies for various usage scenarios. Demonstrate the ability to execute database operations using MySQL. Demonstrate the capability to assess how organizations construct, oversee, and sustain Management Information Systems (MIS). Acquire an understanding of the ethical dilemmas associated with artificial intelligence (AI) and robotics. Key Highlights Are you a practicing IT Professional seeking a greater knowledge and understanding of the industry, and to support your development into senior positions? Then, Qualifi Level 7 Diploma in IT is the ideal starting point for your career journey. The course will forge a career and help individuals prepare professional staff and managers of the future in the health and social care sector. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exams. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials, as well as study guides developed by our Qualifi-approved tutors, will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide you with comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completion of the Level 7 Diploma in IT, graduates may pursue various career paths in education and training, such as: Cybersecurity Analyst; with an estimated average salary of £49,061 per annum Network Security Specialist; with an estimated average salary ranging from £45,000 to £80,000 per annum Data Privacy Consultant; with an estimated average salary of £60,000 per annum Network Engineer; with an estimated average salary of £48,279 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Assignment based Assessment No exam Entry Requirements To be eligible for this Level 7 Qualification, applicants must meet one of the following entry criteria: Possess a Bachelor's degree in IT. Hold a Level 6 qualification in a relevant discipline. Demonstrate 3 to 4 years of work experience in a related field. Additionally, applicants must be aged 20 years or older. Progression Upon successful completion of the QUALIFI Level 7 Diploma in IT, learners will have the opportunity to advance in the following ways: Pursue a Master's degree in the pertinent discipline. Enter directly into employment within a related professional field.   Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Computer Networks Reference No : A/650/5650 Credit : 20 || TQT : 200 The primary goal of this unit is to enhance learners' comprehension of materials and networking technologies within the IT profession. UNIT2- Data Analytics Reference No : D/650/5651 Credit : 20 || TQT : 200 The primary objective of this unit is to cultivate advanced data analytics skills in learners. It also strives to empower learners to effectively utilize analytical tools and techniques in employment settings, enabling them to identify, elucidate, and leverage meaningful data patterns for a competitive advantage. UNIT3- Database Management Systems Reference No : F/650/5652 Credit : 20 || TQT : 200 The module's goal is to establish a solid groundwork in relational database management systems and offer practical, hands-on experience in using SQL for applications in data science and business analytics. UNIT4- Management Information Systems Reference No : H/650/5653 Credit : 20 || TQT : 200 The module's purpose is to facilitate learners in comprehending the importance and relevance of process-oriented Management Information Systems (MIS) in the context of the 21st century. UNIT5- Computers and Society Reference No : J/650/5654 Credit : 20 || TQT : 200 This unit evaluates the social, ethical, legal, and professional implications of computer technology. It also focuses on devising strategies to mitigate these issues and cultivate ethical behavior in the use of technology. UNIT6- Computing Projects Reference No : K/650/5655 Credit : 20 || TQT : 200 The primary objective of this unit is to enhance learners' comprehension of the reasons and methods businesses employ to develop e-commerce as an application of management strategies. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Embark on an enlightening journey through the world of International Marketing and Global Supply Chain Management with our engaging online course.