The course 'Learn AutoCAD Programming using VB.NET - Hands On!' provides comprehensive training in using VB.NET to program and automate tasks in AutoCAD. It covers essential concepts, components of the AutoCAD .NET API, creating and manipulating AutoCAD objects, exploring AutoCAD dictionaries, user interactions, selection sets, and developing practical projects. Participants will gain the necessary skills to efficiently create custom plugins and enhance their productivity in AutoCAD. Learning Outcomes: Understand the fundamentals of VB.NET programming and its relevance to AutoCAD. Explore the AutoCAD .NET API components and learn to work with the AutoCAD object hierarchy. Create and manipulate various AutoCAD objects such as lines, circles, polylines, and more using VB.NET. Implement AutoCAD dictionaries to manage layers, line types, text styles, and other entities. Utilize user interactions for input and output in VB.NET, enhancing the user experience. Work with selection sets and filters to efficiently select and process AutoCAD objects. Develop hands-on projects, including a BlocksCounter plugin and an ObjectExtractor plugin, to reinforce learning and practical application. Why buy this Learn AutoCAD Programming using VB.NET - Hands On!? 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 Learn AutoCAD Programming using VB.NET - Hands On! 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 Learn AutoCAD Programming using VB.NET - Hands On! does not require you to have any prior qualifications or experience. You can just enrol and start learning. Prerequisites This Learn AutoCAD Programming using VB.NET - Hands On! 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 Learn AutoCAD Programming using VB.NET - Hands On! is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: Introduction Module 01: Course Outline 00:05:00 Module 02: Introduction 00:01:00 Module 03: Who is this Course for? 00:01:00 Module 04: What will I learn from this Course? 00:01:00 Module 05: What is VB.NET? 00:01:00 Module 06: What is AutoCAD .NET API? 00:01:00 Module 07: What are the advantages of programming in AutoCAD .NET API? 00:01:00 Module 08: Hands-on Projects overview 00:06:00 Unit 02: Exploring AutoCAD .NET API Components Module 01: AutoCAD .NET API Components Overview 00:01:00 Module 02: AutoCAD .NET API Assemblies 00:02:00 Module 03: Understanding AutoCAD Object Hierarchy 00:03:00 Module 04: AutoCAD .NET API Application Object 00:02:00 Module 05: AutoCAD .NET API Document Object 00:02:00 Module 06: AutoCAD .NET API Database Object 00:04:00 Unit 03: Hello AutoCAD from VB.NET Module 01: Section Overview 00:04:00 Module 02: Installing Visual Studio 2019 00:05:00 Module 03: Setting up Visual Studio 2019 Integrated Development Environment (IDE) 00:04:00 Module 04: Creating First VB.NET Plugin (Hello AutoCAD) 00:12:00 Module 05: Different ways to communicate with the User 00:04:00 Module 06: Configuring VS2019 Target Processor 00:10:00 Unit 04: Creating AutoCAD Objects using VB.NET Module 01: Creating AutoCAD Object using VB.NET Overview 00:01:00 Module 02: Creating DrawObjects Project 00:04:00 Module 03: Creating a Line Object using VB.NET 00:15:00 Module 04: Creating a MText Object using VB.NET 00:12:00 Module 05: Creating a Circle Object using VB.NET 00:09:00 Module 06: Creating an Arc Object using VB.NET 00:07:00 Module 07: Creating a Polyline Object using VB.NET 00:08:00 Module 08: Creating Multiple Circles Vertically 00:09:00 Module 09: Creating Multiple Circles Horizontally 00:05:00 Unit 05: Manipulating AutoCAD Objects using VB.NET Module 01: Manipulating AutoCAD Objects Overview 00:01:00 Module 02: Creating the Project ManipulateObjects 00:04:00 Module 03: Creating the SingleCopy Method 00:13:00 Module 04: Creating the MultipleCopy Method 00:11:00 Module 05: Creating the EraseObject Method 00:12:00 Module 06: Creating the MoveObject method 00:07:00 Module 07: Creating the MirrorObject method 00:10:00 Module 08: Creating the RotateObject method 00:07:00 Module 09: Creating the ScaleObject method 00:05:00 Module 10: Creating the OffsetObject method 00:05:00 Unit 06: Exploring AutoCAD Dictionaries using VB.NET Module 01: Exploring AutoCAD Dictionaries - Overview 00:02:00 Module 02: Creating LayersLineTypesAndStyles Project 00:06:00 Module 03: Creating the ListLayers Method 00:11:00 Module 04: Creating the CreateLayer Method 00:10:00 Module 05: Creating the UpdateLayer Method 00:12:00 Module 06: Creating the SetLayerOnOff Method 00:08:00 Module 07: Creating the SetLayerFrozenOrThaw Method 00:04:00 Module 08: Creating the DeleteLayer Method 00:05:00 Module 09: Creating the LockUnlockLayer Method 00:04:00 Module 10: Creating the SetLayerToObject Method 00:08:00 Module 11: Creating the ListLineTypes Method 00:09:00 Module 12: Creating the LoadLineType Method 00:07:00 Module 13: Creating the SetCurrentLineType Method 00:05:00 Module 14: Creating the DeleteLineType Method 00:09:00 Module 15: Creating the SetLineTypeToObject Method 00:05:00 Module 16: Exploring TextStyles - Overview 00:01:00 Module 17: Creating the ListStyles Method 00:08:00 Module 18: Creating the UpdateCurrentTextStyleFont Method 00:12:00 Module 19: Creating the SetCurrentTextStyle Method 00:08:00 Module 20: Creating the SetTextStyleToObject Method 00:08:00 Unit 07: User Interactions in VB.NET Module 01: User Input Functions - Overview 00:02:00 Module 02: Creating the UserInteractions Project 00:03:00 Module 03: Creating the GetName Method 00:11:00 Module 04: Creating the SetLayer Method using the GetString function 00:12:00 Module 05: Creating the CreateLineUsingGetpoint Method 00:11:00 Module 06: Creating the CalculateDefinedArea Method 00:17:00 Module 07: Creating the DrawObjectsUsingGetKeywords Method 00:14:00 Module 08: Creating the GetDistanceBetweenTwoPoints Method 00:05:00 Module 09: Creating the CountObjects Method 00:15:00 Unit 08: Selection Sets and Filters Module 01: Selection Sets and Filters - Overview 00:13:00 Module 02: Creating the SelectionSets Project 00:05:00 Module 03: Creating the SelectAllAndChangeLayer Method 00:12:00 Module 04: Creating the SelectObjectOnScreen Method 00:08:00 Module 05: Creating the SelectWindowAndChangeColor Method 00:06:00 Module 06: Creating the SelectCrossingAndDelete Method 00:05:00 Module 07: Creating the SelectFenceAndChangeLayer Method 00:06:00 Module 08: Creating the CountPickFirstSelection Method 00:07:00 Module 09: Creating the SelectLines Method 00:13:00 Module 10: Creating the SelectMTexts Method 00:05:00 Module 11: Creating the SelectPlines Method 00:04:00 Module 12: Creating the SelectWalls Method 00:07:00 Module 13: Creating the SelectStairs Method 00:03:00 Module 14: Creating the SelectFrenchDoors Method 00:04:00 Module 15: Creating the SelectBifoldDoors Method 00:03:00 Module 16: Creating CountReceptacles Method 00:04:00 Module 17: Creating the CountLightingFixtures Method 00:10:00 Unit 09: Developing Projects - Hands On Module 01: Developing Projects - Hands on Overview 00:02:00 Module 02: BlocksCounter Plugin Demo 00:03:00 Module 03: Creating the BlocksCounter Project 00:04:00 Module 04: Creating the CountBlocksToTable Method 00:08:00 Module 05: Creating the PromptUser Function 00:08:00 Module 06: Creating the GatherBlocksAndDrawTable Method 00:12:00 Module 07: Continuation of GatherBlocksAndDrawTable Method 00:17:00 Module 08: Running and Debugging the BlocksCounter Project - Part 1 00:15:00 Module 09: Running and Debugging the BlocksCounter Project - Part 2 00:11:00 Module 10: Running and Debugging the BlocksCounter Project - Part 3 00:01:00 Module 11: Creating the ObjectExtractor Plugin Project 00:04:00 Module 12: Creating the ExtractObjects Method 00:07:00 Module 13: Creating the ExtractLine Method 00:16:00 Module 14: Running and Debugging the ExtractLine Method 00:05:00 Module 15: Creating the ExtractCircle Method 00:11:00 Module 16: Creating the ExtractMText Method 00:13:00 Module 17: Creating the ExtractPolyline Method 00:19:00 Module 18: Creating the ExtractBlock Method 00:10:00 Unit 10: Conclusion Module 01: Congratulations and Thank you very much! 00:01:00 Assignment Assignment - Learn AutoCAD Programming using VB.NET - Hands On! 00:00:00
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Course Curriculum Anatomy and Physiology of Human Body Module 01: The Chemistry of Cells The Chemistry of Cells 00:27:00 Module 02: Cells Cells 00:16:00 Module 03: Cell Division Cell Division 00:19:00 Module 04: Replication and Metabolism Replication and Metabolism 00:20:00 Module 05: Human Tissues Human Tissues 00:25:00 Module 06: Skin Skin 00:16:00 Module 07:Human Skeletal System Human Skeletal System 00:21:00 Module 08: The Muscular System The Muscular System 00:17:00 Module 09: Skeletal Muscle Fibre Skeletal Muscle Fibre 00:22:00 Module 10: Nervous System Nervous System 00:31:00 Module 11: The Brain The Brain 00:23:00 Module 12: Nervous System-Spinal Cord and Spinal Nerves Nervous System-Spinal Cord and Spinal Nerves 00:15:00 Module 13: Nervous System - Autonomic Nervous System and Cranial Nerves Nervous System - Autonomic Nervous System and Cranial Nerves 00:31:00 Module 14: Nervous System-The Eyes Nervous System-The Eyes 00:15:00 Module 15: Nervous System-The Ears, Hearing, and Equilibrium Nervous System-The Ears, Hearing, and Equilibrium 00:14:00 Module 16: Nervous System-Memory Nervous System-Memory 00:19:00 Module 17: Sensory Systems Sensory Systems 00:23:00 Module 18: Cardiovascular System Cardiovascular System 00:25:00 Module 19: Blood Blood 00:27:00 Module 20: Lymphatics Lymphatics 00:20:00 Module 21: Immune System Immune System 00:26:00 Module 22: Digestive System Digestive System 00:22:00 Module 23: Respiratory System Respiratory System 00:16:00 Module 24: Urinary System Urinary System 00:16:00 Module 25: Male Reproductive System Male Reproductive System 00:32:00 Module 26: Female Reproductive System Female Reproductive System 00:33:00 Assignment Assignment - Anatomy and Physiology of Human Body 00:00:00
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Course Curriculum 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 - Layer Tuning for Smaller Network 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 Multi-Layer Perceptron Model Development 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
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