Solar PV Installation Course & Electrical theory

This course includes 400+ practice exam questions including mortgage specific math. All questions have solution explanations so that you understand each and every concept.If you want to become a mortgage loan originator you must pass the SAFE Mortgage Loan Originator exam. This course focuses on teaching you to master the most common questions you will see in the SAFE Mortgage Loan Originator exam. Some courses overload you with common knowledge that you will never see in the exam which is a waste of time. In this course, you will reinforce the most important topics, terms, and definitions you need to know to pass on your first try. What should be your #1 goal when taking the SAFE Mortgage Loan Originator Test? PASS ON YOUR FIRST TRY OR YOUR MONEY BACK!This course is composed of simulated practice exams and key test questions that will appear in one form or another in your test. The SAFE Mortgage Loan Originator Test is a National test composed of 125 test questions of which only 115 are scored. The test allows for a total of 190 minutes in which you have to complete all test questions. For this reason you have to be prepared to answer quickly and accurately.This course will teach you through simulated practice test questions to:- Quickly determine question types and how to answer them- See and know the answer instead of guessing your way through the test- Practice hundreds to test questions on your smart phone or computer- Understand important mortgage definitions in order to understand test questions better- Improve your math skills when taking mortgage questions that require math calculations- Answer questions quickly and accurately- Understand key laws that are important when testing

Master ASP.NET Web Forms step by step and build real, portfolio‑ready web applications. “This is not a theory course — you will learn by building real applications.”This course is designed for beginners, students, and aspiring developers who want a clear, structured, and practical introduction to ASP.NET Web Forms and database‑driven web development.You will learn each concept through hands‑on demonstrations, real examples, and a complete project that brings everything together.What You Will LearnStep‑by‑step ASP.NET tutorials that build your skills progressivelyIntroduction to ASP.NET Web Forms and how the framework worksWorking with Web Controls including TextBox, Button, Label, GridView, DropDownList, CheckBoxList, and RadioButtonListDatabase operations using connect your application to SQL ServerBuilding a real Employee Management System from scratchPerforming Insert, Update, and Delete operations with SQL ServerCreating reports using Crystal ReportsPublishing and hosting your ASP.NET Web Forms project so it is accessible onlineWhy This Course Is Ideal for BeginnersNo prior experience requiredClear explanations with practical demonstrationsHands‑on exercises to reinforce learningA complete real‑world project includedStructured lessons designed for students and self‑learnersReal Project Included: Employee Management SystemYou will build a complete web application where you will:Create forms and user interfacesConnect to SQL ServerPerform CRUD operationsDisplay data using GridViewGenerate reportsPublish the project onlineThis ensures you not only understand the concepts but also apply them in a

Course Overview: Revit 2025 – Site Setup to Full Architectural Modeling in a South African ContextSoftware Used:Autodesk Revit 2025Standards and Compliance:South African Surveyor General (SG) databaseSANS 10400 National Building RegulationsMunicipal drawing requirements and estate guidelines This course is designed to equip architectural students and junior professionals with the technical and practical skills needed to use Autodesk Revit 2025 effectively from project setup through to complete architectural documentation. The course contextualizes Revit workflows within the South African built environment, with emphasis on real-world procedures such as importing SG diagrams, aligning with local building lines, complying with SANS standards, and preparing professional drawing packages for municipal submission.The course is delivered over 11 detailed lectures, each progressing through core phases of architectural design and documentation, beginning with site setup and concluding with publishing annotated construction-ready drawings.Who Should Attend:Architectural Technology studentsJunior architects and technologistsBuilt environment practitioners seeking Revit proficiency in the South African contextLearning Objectives:By the end of the course, students will be able to:Source and model property boundaries from SG diagramsCreate custom Revit templates aligned with South African standardsModel site topography using CAD overlaysDesign substructure and superstructure systems with appropriate detailingIncorporate doors, windows, roofing systems, internal layouts, fixtures, ceilings, and finishesUtilize keynotes and annotation tools for professional documentation

Robust data analysis and outlier detection are crucial in Statistics, Data Analysis, Data Mining, Machine Learning, Artificial Intelligence, Pattern Recognition, Classification, Principal Components, Regression, Big Data, and any field related to the data.With the course you will obtain the FREE BOOK ABOUT OUTLIERS with specific tips and tricks, and the summary of all the robust methods to detect them that will help you obtain accurate results and awsome data analysis.Researchers, students, data analysts, and mostly anyone dealing with real data, should be aware of the problem with outliers (and outliers) and should know how to deal with this problem and what robust methods should be used. . The vast majority of Machine Learning algorithms are capable of detecting characteristics common to the majority of data, but many times they are confused or even ignore those atypical data, which should not be ignored in conditions where the security of people, such as the analysis of medical data, the world of the Internet of Things IoT, or risks and security in companies.What would happen if a virus spread throughout the world because we ignored anomalous data? We would have a pandemic, like that of COVID19, which if the outlier signals detected by neural networks had not been ignored, we could have acted upon beforehand.What would happen if we ignored any signal from a Smart City system? We could miss a gas leak.What would happen if by ignoring an alarm, we miss a meteorite coming towards the earth? We would have to call Bruce Willis, to save us from Armageddon.With this course you will be an expert in robust data analysis, in the detection and treatment of atypical data, bo

Artificial Intelligence in Hydrology: From Basics to Advanced ModelsThis course provides a comprehensive understanding of hydrology and its integration with modern Artificial Intelligence techniques. It begins with fundamental concepts such as the hydrologic cycle, precipitation, infiltration, runoff, hydrographs, and groundwater, building a strong base for learners from civil and environmental engineering backgrounds.As the course progresses, learners will explore key areas of water resources engineering, including irrigation systems, reservoir planning, and watershed management. Practical engineering methods such as rainfall–runoff modeling, flood estimation, and hydrograph analysis are explained in a clear and applied manner.The course then transitions into advanced topics, focusing on the application of machine learning and deep learning in hydrology. Learners will gain hands-on exposure to models such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), Random Forest (RF), Histogram Gradient Boosting (HGBoost), Long Short-Term Memory (LSTM), and CNN-RNN models.By the end of the course, learners will be able to apply AI techniques to real-world problems such as streamflow prediction, flood forecasting, groundwater analysis, and water resource management. This course is ideal for students, researchers, and professionals looking to bridge the gap between traditional hydrology and cutting-edge data-driven approaches. Includes real-world case studies, practical datasets, Python implementation, model evaluation techniques, and industry-relevant project experience.

If you have to read dense text for an academic class, then this course is for you! You will learn how to understand what you read while you read it and remember it long after, too. And no more copying from the textbook for note-taking (and forgetting that, too)--because you'll also learn how to take effective notes. Ideal for students who are in middle school, high school, college, and graduate school.