AI for startups

A-Level Further Maths: Further Statistics 1 is a course for anyone studying A-Level Further Maths who has chosen the Further Statistics 1 module.This course covers all the content in the Further Statistics 1 paper. The course has been modelled around the Edexcel exam board. Some of the topics covered here appear in other boards, but it's not designed with them in mind . It is, however, a great option for anyone looking to learn more advanced probability and statistics.The main sections of the course are:- Discrete Random Variables - we expand what we already know abot discrete random variables, learning how to find expectation and variance.- The Poisson Distribution - we will learn a brand new discrete distribution and learn how to solve a range of questions relating to it, as well as how to find Poisson approximations of binomial distributions.- Geometric and Negative Binomial Distributions - we will learn 2 more discrete distributions and learn how to solve questions about these.- Hypothesis Testing - we'll look at how to test hypotheses relating to the Poisson and Geometric Distributions.- The Central Limit Theorem - we'll explore this fascinating result and see how to use it solve some quite advanced problems.- Chi Squared Tests - we'll learn how to test whether data is well modelled by a distribution, and how to test for association.- Probability Generating Functions - we'll learn what probability generating functions are and how to construct them for all the discrete distributions we know.- Quality of Tests - we'll learn what Type I and Type II errors are, what statistical power is, and how to create a power function.What you get in this course:Videos: Watch as I explain each topic, introducing all the key ideas, and then go th

When we think of the world’s greatest leaders, one thing they all have in common is the ability to communicate well. Taking the time to improve your communication skills can be highly rewarding. Being able to communicate more effectively will help you to build stronger relationships with the people around you, and get your ideas across successfully.It can be especially difficult to communicate clearly in English if you have not been learning for very long. Even if you have memorised endless amounts of vocabulary, practised your grammatical skills to perfection and can read books entirely in English cover-to-cover, you still might struggle to express yourself. Read on for our top tips on developing your communication skills.The English for Work course is designed to improve your English language skills and is tailored to your specific study motivations, language goals and needs.Practise in your own time and at your own pace. You will get instant feedback to track your progress with engaging, structured online exercises that will help you improve your listening, reading, writing, grammar and vocabulary skills. There are online exercises to complete before and after every live class.Slow downDon’t expect to be able to speak as quickly in a foreign language as you can in your mother tongue. Take your time, and try to slow down your speaking speed. By speaking slower, you’ll have more time to choose your words, think about your answers, and give the best possible response. Whoever you’re trying to communicate with will appreciate that you’ve tried to select your words carefully.Learn sentences instead of wordsWhen you learn a new word in English, take a couple of minutes to memorise some sentences that contain it. In the long run, this will go far in helping you with conversation and communication. It isn’t unusual for language learners to know the meanings of words, but struggle to use the

***************** Adding 15- 30 new questions every 2 weeks *****************Our Professional Scrum With Kanban (PSK I) Certification Exam consist of 6 practise exam with 270 questions based on The Kanban Guide for Scrum Teams and The Scrum Guide.If you have decided to master kanban in the context of scrum by earning Professional Scrum With Kanban Level 1 (PSK 1), these practice questions mock exams will greatly help you pass the exam and successfully complete the certification. It consists of 6 practise with 270 questions (45 questions per exam). The questions are close to real questions from the certification exam (but sure not the same).The practice exams covers:- Purpose of Kanban- Kanban in relation to Scrum- Definition of Kanban- Scrum- Kanban with Scrum Theory- Flow and Empiricism- The Basic Metrics of Flow- Kanban Practices- Visualisation of the workflow- Active Management of Work Items in Progress- Inspect and Adapt the Definition of Workflow- Flow-Based events- The Sprint- Sprint Planning- IncrementProfessional Scrum With Kanban (PSK I) Certification Exams - 270 practice questions and 6 mock exams provides you with the best opportunity to prepare and pass Professional Scrum With Kanban Level 1 (PSK 1) certification exam. You will have lifetime access to practice tests and future updates without worrying about new fees.

Achieve PMP® Certification with Confidence: Your Ultimate Exam SimulationThis essential practice test course is your final and most critical step towards conquering the Project Management Professional (PMP)® certification exam. Recognized globally as the gold standard in project management, the PMP® certification validates your ability to lead projects effectively. This course provides a rigorous, exam-simulated environment designed to test your knowledge, master the PMP® mindset, and ensure you walk into the testing center with unparalleled confidence.Reflecting the latest PMP® Examination Content Outline, this practice test is meticulously structured to cover the three key domains: People, Process, and Business Environment. It embraces the full spectrum of project management approaches, with approximately half of the questions dedicated to predictive (waterfall) methods and the other half to agile and hybrid approaches, mirroring the modern PMP® exam format.What You'll Get:Realistic Exam Simulation: A full-length, timed practice exam with 180 questions, designed to replicate the pressure and structure of the actual PMP® test.Comprehensive Question Bank: A vast pool of high-quality, scenario-based questions that challenge you to apply your knowledge, not just recall facts.In-Depth Explanations: Every question includes a detailed rationale for the correct answer and explanations for why the other options are incorrect, directly referencing project management principles. This is crucial for developing the "PMP mindset."Performance Analytics: Receive a detailed diagnostic score report breaking down your performance by domain (People, Process, Business Environment) and task, allowing you to identify and target your remaining knowledge gaps.Unlimited Access: Repeat the exam simulati

This course is designed specifically for engineers and STEM professionals who want a rigorous, application-driven introduction to machine learning. Rather than presenting AI as an abstract or purely software-oriented discipline, the course frames every concept within engineering workflows, physical modeling, and research practice.Most machine learning courses emphasize generic datasets and business-oriented use cases. In contrast, this course connects core ML methodology directly to engineering problems.The course begins with Linear Regression Fundamentals, using the concrete example of predicting elastic stress in a steel specimen to introduce essential terminology and concepts, including loss functions, optimizers, and generalization. This establishes a mathematically grounded understanding of supervised learning before moving to more advanced models.Students then move beyond black-box modeling through Symbolic Regression and Genetic Programming, learning how to discover interpretable, closed-form mathematical relationships directly from data. For example, the course demonstrates how to recover governing-style equations such as predicting the tip deflection of a cantilever beam. This module emphasizes interpretability, physical insight, and equation discovery.The course also covers Neural Networks and Deep Learning, including the construction and training of fully connected feedforward neural networks (FNNs) and convolutional neural networks (CNNs). These architectures are applied to realistic engineering tasks, such as image-based crack detection in concrete surfaces, illustrating how deep learning supports inspection and structural health monitoring.Additionally, the course explores the use of LLMs (large language models), such as ChatGPT, Claude, and Gemini, for writing and debugging code. It also examines responsible ways to use these tools, as well as common pitfalls, including hallucinations and other

هل تشعر بالارتباك أمام متطلبات مشروع التخرج أو مشاريع الأنظمة البرمجية؟ هل تتساءل كيف يمكنك تحويل فكرتك إلى توثيق فني (Documentation) متكامل ينال إعجاب لجان التحكيم؟ هذه الدورة هي الحل الأمثل لك. لقد صممنا هذا المحتوى بناءً على معايير التقييم الأكاديمية العالمية (Rubrics) لنضمن لك ليس فقط النجاح، بل التميز في عرض مشروعك.تأخذك هذه الدورة في رحلة منظمة تبدأ من "الصفر"، حيث نتعلم كيفية اختيار المصادر والمراجع الموثوقة وكيفية إثبات أصالة فكرتك، وصولاً إلى أدق التفاصيل التقنية في تحليل وتصميم النظم. لن تكون مجرد دورة نظرية، بل هي خارطة طريق عملية لكل فصل من فصول مشروعك.ماذا ستتعلم في هذه الدورة؟ (محتوى تفصيلي):1. الفصل الأول: التأسيس وصياغة المشكلة سنتعلم كيفية كتابة مقدمة قوية، تحديد مشكلة الدراسة بدقة، صياغة الأهداف والفوائد (Objectives Importance)، وتحديد قيود المشروع (Limitations) والكلمات المفتاحية.2. الفصل الثاني: مراجعة الأدبيات وتحليل المتطلبات سنغوص في كيفية جمع متطلبات أصحاب المصلحة (Stakeholders)، والتمييز بين المتطلبات الوظيفية وغير الوظيفية، وإجراء تحليل (SWOT) واستطلاعات الرأي (User Survey) لضمان احتياج السوق لفكرتك.3. الفصل الثالث: التحليل الفني العميق (System Analysis) هنا نبدأ الجانب التقني؛ حيث ستتقن رسم مخططات تدفق البيانات (DFD)، وحالات الاستخدام (Use Case Scenarios)، ومخططات النشاط (Activity Diagrams) التي تعكس منطق عمل نظامك.4. الفصل الرابع: التصميم الهندسي (System Design) سنتنقل إلى تصميم البنية التحتية للنظام عبر مخططات الفئات (Class Diagram) والتسلسل (Sequence Diagram)، بالإضافة إلى تعلم أساسيات تصميم واجهات الإدخال والإخراج (Input/Output Design) لضمان تجربة مستخدم سلسة.5. الفصل الخامس: النتائج والتوصيات كيفية تلخيص النتائج، وضع توصيات مستقبلية، وكتابة خاتمة تعكس قيمة العمل المبذول.