Solar PV Operation & Maintenance: Tools & Troubleshooting

Deep Understanding of Large Language Models (LLMs): Architecture, Training, and MechanismsDescriptionLarge Language Models (LLMs) like ChatGPT, GPT-4, , GPT5, Claude, Gemini, and LLaMA are transforming artificial intelligence, natural language processing (NLP), and machine learning. But most courses only teach you how to use LLMs. This 90+ hour intensive course teaches you how they actually work — and how to dissect them using machine-learning and mechanistic interpretability methods.This is a deep, end-to-end exploration of transformer architectures, self-attention mechanisms, embeddings layers, training pipelines, and inference strategies — with hands-on Python and PyTorch code at every step.Whether your goal is to build your own transformer from scratch, fine-tune existing models, or understand the mathematics and engineering behind state-of-the-art generative AI, this course will give you the foundation and tools you need.What You’ll LearnThe complete architecture of LLMs — tokenization, embeddings, encoders, decoders, attention heads, feedforward networks, and layer normalizationMathematics of attention mechanisms — dot-product attention, multi-head attention, positional encoding, causal masking, probabilistic token selectionTraining LLMs — optimization (Adam, AdamW), loss functions, gradient accumulation, batch processing, learning-rate schedulers, regularization (L1, L2, decorrelation), gradient clippingFine-tuning and prompt engineering for downstream NLP tasks, system-tuningEvaluation metrics — perplexity, accuracy, and benchmark dat

Preparing high-risk patients for surgery can feel overwhelming, especially for medical students and junior doctors. This concise, high-yield course is designed to simplify preoperative management and help you approach complex cases with clarity and confidence.In this course, you’ll learn how to assess and optimize patients with common yet critical conditions such as Diabetes Mellitus (DM), Chronic Kidney Disease (CKD), Ischemic Heart Disease (IHD), Deep Vein Thrombosis (DVT), Valvular Heart Disease (VHD), Chronic Obstructive Pulmonary Disease (COPD), thyroid disorders, pacemakers, and obstructive jaundice. Each topic is broken down into practical, easy-to-follow steps focusing on what truly matters in exams, ward rounds, and real-life clinical practice.The course includes 10 focused video lectures totaling approximately 100–110 minutes, making it ideal for quick revision and last-minute preparation. You’ll gain a structured framework for preoperative risk assessment, necessary investigations, medication adjustments, and perioperative precautions.By the end of this course, you will be able to:Identify high-risk surgical patients confidentlyApply practical preoperative optimization strategiesAvoid common mistakes in perioperative careImprove your clinical decision-making skillsWhether you're preparing for exams, clinical rotations, or simply want to strengthen your fundamentals, this course provides a clear and efficient pathway to mastering preoperative management.Keep it simple. Keep it practical. Master what matters

In this course, we start our journey form discussing the general representation of signals and systems which is really important. We will be representing our signals as mathematical functions having an independent variable. And this representation will be the most of the first unit.Then, we are going to classify our signals, such as periodic/non-periodic, even/odd etc etc. This part will be also really crucial, since the kind of the signal allows us to choose the path to move on as we proceed to the solution.Common Signals will be explained !!!The Chapter for coming signals provides in-depth treatment of singularity functions such as unit pulse, unit step, and unit ramp signals. All of these signals are defined graphically and mathematically in the CT (Continuous Time) and DT (Discrete Time) domains. Signal properties and relationships between singularity functions are also explained. And other signals like signum function, sinc function etc. are also covered.Properties of Systems: All system properties such as linearity, time invariance, causality, stability, memory and reversibility are well explained using a lot of examples.You also have the opportunity to ask any question you have in your mind to the instructor 24/7. We will be replying your messages and questions within 24 hours. (as soon as possible)in Afterclap, We TrustSincerely,kavcarAfterclap Academy

Meshing is the most important part of any CFD process. Meshing is the process to divide continuous domain in discrete parts known as control volumes. After discretizing, this mesh is provided to numerical (CFD) solver to solve algebraic equations arising from partial differential equations of continuous domain. Therefore meshing is most important part of any CFD process and accuracy stability of CFD process largely depends on good quality mesh. It is estimated that around 70% time is spent on meshing in any CFD project. But after taking this course, you will be expert in meshing and you can generate meshes in very less time than rest of CFD community. In meshing you can either go with full hexa meshing or tetra meshing (with prism layers). Hexa meshing is more of an art and requires great deal of time. But yields most accurate solution. It also requires less number of nodes and hence it require less compactional resources and less solution time. It also avoids numerical errors /numerical diffusivity as you can observe in tetra meshes. It is estimated that tetra meshes requires as much as five times of mesh size as that of hexa meshing. In this course you will enhance your ICEMCFD hexa meshing skills on more complicated geometries such as circular cylinder, 3D airfoils, stirred tank, wind turbine etc. Here you will each and every trick/tip of business of CFD meshing. After going through this course, you will be able to create perfect grid according to CFD simulation requirements and hence will be able to get most accurate results in less time.We will cover different topics as well which will increase effectiveness of hexa meshing.

In this comprehensive course, we’ll explore various facets of AnyLogic, from installation to advanced modeling techniques. Let’s break down what each section entails:Getting StartedInstallation and Interface: Install AnyLogic and familiarize yourself with the user-friendly interface.Common Blocks and Components: Dive into the essential building blocks and components within AnyLogic.Data Management: Learn how to define datasets, set parameters, and create informative charts.Warehouse Modeling with DES SimulationDiscrete Event Simulation (DES): Develop a robust warehouse model using DES principles.Process Modeling Library: Explore elements from the library tailored for process modeling.Data Handling: Work with datasets, create dynamic charts, and manage parameters and variables.Basic Java for AnyLogicJava Fundamentals: Understand the basics of Java programming.Integration with AnyLogic: Apply Java concepts seamlessly within your AnyLogic models.Manufacturing Plant SimulationPlant Modeling: Construct a detailed manufacturing plant model.Performance Optimization: Enhance operations and improve overall efficiency.Statistical Insights: Calculate key metrics, including the elusive 90th percentile value.Advanced Techniques: Utilize collection objects and statistical elements for dynamic batching strategies.Agent Based ModelingDrone Modeling: Key features of this section include the development of inter

--- Check My Website (importfea) ---We are going to make a detailed examination of linear static analysis in the tutorial. After learning the necessary fundamentals, we will focus on the static structural section. In the static structural section, we'll see all of the loads, supports, contacts, joints, and mesh types with applications.Versions 19.2, 19.3, and 2020R2 were used in the tutorial. For more detailed information and surprises, don't forget to visit my Instagram page (@ansysegitim) :)We can gather the tutorial under 2 topics as introductory and advanced tutorials. We will be learning the topics below for the introductory course. Before reviewing these topics, I need to make it clear to you. First of all, let's talk about what the tutorial does not include :)I did not include the non-linear analysis at this stage, since the topic is advanced. You are not going to see crashed trucks, plate-piercing bullets, flying aircraft, rockets, tanks or rifles, etc in the tutorial. All of these need separate courses. For this reason, learning them as a beginner in 10 minutes, 30 minutes, or 1-hour courses only teaches you to make colorful animations of that truck or plane :) The topics require mastery separately.Now, let's examine what awaits us in the course. In the introduction part, my aim is to teach to use the Ansys. Each of the lessons is created with the aim of learning one specific topic within Ansys and is focused on that purpose. For example, if we are trying to learn the topic of boundary conditions, then we don't struggle to get fine mesh quality or structures or we don't need to prepare the model for meshing while we are learning the topic of contacts. You will get a better understanding of the applications after the theoretical lessons.In the tutorial, we will not only go to the analysis results with a few mouse clicks, we will reach the results by explaining which option we used and why we used it. Thus, after a while, you will be able to