5886 Computing courses in Atherton delivered Online

Step into the fascinating world of deep learning with our Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course. This course takes you through the power of neural networks by using one of the most iconic machine learning challenges—digit recognition. Whether you're brushing up on your AI knowledge or taking your first step into neural networks, this course simplifies the complexity without watering it down. Expect clear, jargon-free explanations that give neural networks a human touch. Learn how digits are recognised, how machines learn from data, and what goes on inside those layers of artificial intelligence—without sounding like a maths textbook. From data input to prediction output, the entire pipeline is broken down in a logical, structured, and thoroughly digestible way. If you're into machine learning, this project will speak your language—digitally. Learning Outcomes: Gain a solid understanding of the principles of deep learning and neural networks. Learn how to use Google Collab to import and preprocess data for deep learning projects. Discover how to create your own neural network model to recognise handwritten digits. Understand how to train your model, make predictions, and evaluate its performance. Learn how to create your own convolutional neural network model for even more advanced recognition tasks. The Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network for handwritten digit recognition. Using Google Collab, you'll learn how to import and preprocess data for deep learning projects, create your own neural network model, and train it to recognize handwritten digits with high accuracy. You'll also discover how to evaluate the performance of your model and create a convolutional neural network model for even more advanced recognition tasks. Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course Curriculum Lesson 01: Introduction to Project Lesson 02: Google Collab Lesson 03: Importing Packages and Data Lesson 04: Preprocessing and Model Creation Lesson 05: Training the Model and Prediction Lesson 06: Model Creation using CNN Lesson 07: CNN Model Prediction How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and neural networks. Programmers who want to learn how to build their own neural network models for advanced recognition tasks. Entrepreneurs who want to develop their own deep learning-based applications. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of deep learning and neural networks. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Ever wondered how machines recognise faces, detect traffic signs, or even tag photos with uncanny accuracy? This course dives straight into the heart of Convolutional Neural Networks (CNNs) – the very engine behind image recognition and deep learning breakthroughs. With a clear focus on project-based learning, you’ll explore how CNNs work, how they’re built, and how they’re trained to see and interpret the world digitally. The content flows logically and stays rooted in clarity, making even the most complex architectures feel almost polite. This is not just a sequence of slides and jargon. It’s a well-structured digital journey tailored for learners who want to confidently grasp how deep learning models behave and evolve. Whether you're brushing up on your neural network knowledge or aiming to reinforce your AI expertise, the course serves up algorithms, code walkthroughs and layered insights with a tone that’s informative, direct, and occasionally dry-witted. If you fancy turning raw data into pixel-level predictions using nothing but code, logic, and neural layers — you’re exactly where you need to be. Learning Outcomes: Gain a solid understanding of convolutional neural networks and their applications in deep learning. Learn how to install the necessary packages and set up a dataset structure for deep learning projects. Discover how to create your own convolutional neural network model and layers using Python. Understand how to preprocess and augment data for advanced image recognition tasks. Learn how to evaluate the accuracy of your models and understand the different models available for deep learning projects. The Deep Learning Projects - Convolutional Neural Network course is designed to provide you with the skills and knowledge you need to build your own advanced deep learning projects. Using Python, you'll learn how to install the necessary packages, set up a dataset structure, and create your own convolutional neural network model and layers. You'll also learn how to preprocess and augment data to enhance the accuracy of your models and evaluate the performance of your models using data generators. Deep Learning Projects - Convolutional Neural Network Course Curriculum Section 01: Introduction Section 02: Installations Section 03: Getting Started Section 04: Accuracy How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and convolutional neural networks. Programmers who want to learn how to build advanced models for image recognition. Entrepreneurs who want to develop their own deep learning-based applications for image recognition. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of convolutional neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Computer Vision Engineer: £30,000 - £70,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

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Keeping your computer in good health shouldn’t feel like decoding ancient hieroglyphs. This CPD-accredited online course is your go-to guide for understanding how your machine ticks—and more importantly, how to stop it from randomly deciding not to. From troubleshooting common issues to managing updates, system security, and basic optimisation, we cover the essentials with clarity, logic, and just enough dry wit to keep your cursor blinking in approval. Ideal for beginners, enthusiasts, and the tech-curious, this course is entirely online—no spanners, screwdrivers, or awkward classroom lighting required. Whether you're looking to improve performance, prevent problems before they start, or just want your laptop to stop wheezing like an asthmatic pensioner every time you open a spreadsheet, you're in the right place. Learn to maintain and manage your device with confidence, without ever having to leave your chair (unless it’s to reboot, of course) Course Curriculum: Module 01: Introduction to Computer & Building PC Module 02: Overview of Hardware and Parts Module 03: Building the Computer Module 04: Input and Output Devices Module 05: Software Installation Module 06: Computer Networking Module 07: Building a Gaming PC Module 08: Maintenance of Computers Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Computer Maintenance - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Computer Maintenance - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Computer Maintenance - CPD Accredited training.

Statistics isn’t just about crunching numbers — it’s about making sense of the story those numbers are trying to tell. This CPD Accredited course on Statistical Analysis guides you through the key principles of statistics, from foundational concepts to more nuanced techniques. Whether you're reviewing datasets, interpreting results, or presenting findings, this course equips you with the knowledge to navigate the world of statistical thinking with confidence and clarity. Designed for learners from all backgrounds, the course strips away the jargon and makes statistics surprisingly approachable — yes, even for those who still remember their school maths with mild unease. With each module, you’ll gain sharper insight into probability, distributions, sampling, regression, and more, all laid out in an engaging, digestible format. Ideal for those aiming to strengthen their analytical thinking or simply add weight to their professional profile — without the headache of deciphering Greek letters. Learning Outcomes: It's your chance to start with ourIT course and give your resume the stamp of approval that employers are looking for. So, pick up your card now and fill up your virtual basket with this highly-rated Statistics : Statistical Analysis - CPD Accredited online training program from Training Express Still not convinced? Take a glimpse of the key benefits you'll get with - Lessons prepared in collaboration with Professionals User-friendly Learner Management System (LMS) Syllabus designed in line with the standards of the UK Education System Updated Study Materials focusing both on Knowledge and Skill based training Guidance to expand in 'a' territory and move forward with Data Analyst profession Free Assessment to test learners' knowledge and skills Course Curriculum: Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing the Statistics : Statistical Analysis - CPD Accredited course. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Statistics : Statistical Analysis - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Statistics : Statistical Analysis - CPD Accredited training.

Explore all the amazing things you can do with Google Apps Script with just a few lines of code, such as supercharge your Google Workspace apps, save time, and more. Learn how Google Apps Script allows you to interact with the Google Suite of products and create customized functionality within those products. You need to have prior coding experience to get started on this course.

Are you fascinated by the world of financial crime? Ready to delve into the intricate art of investigation? Our comprehensive Financial Investigator Training is designed just for you! Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the Financial Investigator Training, learners will explore the fundamentals of financial investigation, including the various types and characteristics of financial crimes. They will gain a comprehensive understanding of the laws and regulations aimed at combating financial fraud. Through practical exercises, they will develop skills in collecting, preserving, and analyzing evidence crucial to financial investigations. Additionally, participants will learn about the role and responsibilities of a financial investigator, along with the essential components of a financial crime response plan. This curriculum equips learners with the knowledge and techniques necessary to identify, investigate, and respond to various forms of financial crime effectively. Course Curriculum Module 01: Introduction to Financial Investigation Module 02: Introduction to Financial Investigator Module 03: Categories of Financial Crimes Module 04: Characteristics of Financial Crimes Module 05: Laws against Financial Fraud Module 06: Collecting, Preserving and Gathering Evidence Module 07: Financial Crime Response Plan Learning Outcomes: Identify key concepts in financial investigation techniques for introductory understanding. Recognize the role and responsibilities of a financial investigator proficiently. Classify various types of financial crimes accurately and categorically. Describe essential characteristics distinguishing different forms of financial crimes concisely. Summarise relevant laws concerning financial fraud adequately and comprehensively. Demonstrate proficiency in collecting, preserving, and handling evidentiary material meticulously. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Law enforcement professionals seeking financial investigation specialisation. Financial analysts aiming to broaden their skill set in investigation techniques. Compliance officers wishing to enhance their understanding of financial crimes. Legal professionals interested in gaining expertise in financial fraud investigation. Anyone looking to pursue a career in financial crime investigation. Career path Financial Investigator Fraud Analyst Compliance Officer Intelligence Analyst Law Enforcement Officer Forensic Accountant Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Unlock the fundamentals of Investment Banking with our comprehensive course designed for aspiring financial professionals. Whether you're starting your career or aiming to deepen your understanding, our "Introduction to Investment Banking" covers everything you need to know. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access This course on Introduction to Investment Banking covers essential topics that equip learners with a deep understanding of the field. Students will gain knowledge about the principles and practices of investment banking, including its ethical considerations. They will explore the intricate structures and various aspects involved in investment banking operations. A focus on valuation methods will enable learners to assess the worth of companies and assets accurately. They will also delve into the processes of Initial Public Offerings (IPOs), understanding how companies go public. Additionally, the course covers Merger and Acquisition (M&A) transactions, providing insights into how companies merge or acquire others. Lastly, learners will study Leveraged Buyouts (LBOs), learning about the financial strategies used to acquire companies using borrowed funds. Overall, this curriculum offers a comprehensive foundation in investment banking, preparing students for roles where financial expertise and strategic insights are crucial. Course Curriculum Module 01: Introduction to Investment Banking Module 02: Ethics in Investment Banking Module 03: Structure and Sides of Investment Banking Module 04: Valuation Methods in Investment Banking Module 05: Initial Public Offering (IPO) Module 06: Merger and Acquisition (M&A) Module 07: Leveraged Buyout (LBO) Learning Outcomes: Understand fundamentals of Investment Banking operations and terminology. Apply ethical principles in various scenarios within Investment Banking. Analyse the structure and functions of Investment Banking organisations. Utilise different valuation methods for financial analysis in Investment Banking. Evaluate processes involved in Initial Public Offerings (IPOs) in Investment Banking. Examine strategies and implications of Mergers and Acquisitions (M&A) in finance. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Graduates seeking finance sector careers. Professionals in finance exploring Investment Banking. Individuals interested in financial markets and corporate finance. Business students focusing on finance and banking. Anyone aiming for roles in financial advisory services. Career path Investment Analyst Corporate Finance Manager Mergers and Acquisitions Specialist Financial Advisor Equity Research Analyst Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.