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Why Learn Rhino 3d and V-ray for Rhino Basic to Intermediate Training Course? Course Link Learn Rhino 3D and V-Ray for Rhino Basic to Intermediate Training Course. Designed for beginners and experienced users, this course empowers you with essential modeling and rendering techniques. Choose between in-person or live online sessions. Duration: 16 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking hours of your choice, available from Mon to Sat between 9 am and 7 pm. London Design Training Course Certified tutors for Rhino 3D and Vray Training - Online, On-Site, or In-Class one to one. Choose from a diverse range of Rhino courses conducted by expert trainers with extensive production experience. Rhino 3D and V-Ray Comprehensive Training Course Duration: 16 hours Course Overview: Learn Rhino 3D and V-Ray with our Basic to Intermediate Training Course. Perfect for beginners, this course equips you with the skills to navigate Rhino's interface, create captivating 3D models, apply textures, and utilize V-Ray for stunning renders. Course Outline: I. Introduction to Rhino 3D and V-Ray (1 hour) Get familiar with Rhino 3D and V-Ray interfaces and essential tools Master viewport navigation with expert controls Understand units and tolerance for precise designs Customize your workspace for seamless workflow II. Creating Basic 3D Objects (3 hours) Craft captivating 3D shapes and objects Edit objects and work with curves for refined designs Explore surfaces and solids for advanced modeling Utilize transformations and copying techniques for enhancements III. Materials and Textures (2 hours) Unleash the power of materials and textures on your designs Apply stunning materials to bring your creations to life Enhance your designs with custom materials for an aesthetic boost IV. Basic Lighting Techniques in V-Ray (2 hours) Discover the magic of lighting with V-Ray for impactful renders Utilize V-Ray lights and HDRI maps for striking lighting effects Adjust lighting settings for impeccable results V. Enhancing Renders with V-Ray Settings (3 hours) Optimize V-Ray render settings for the best output Adjust global illumination and reflection settings for desired looks Elevate renders with dynamic effects like depth of field and motion blur VI. Advanced Modeling Techniques (2 hours) Master advanced modeling tools for intricate shapes Refine curve and surface creation and editing skills Handle solids with Boolean operations and trimming techniques VII. Advanced Lighting Techniques in V-Ray (2 hours) Create and adjust artificial lights for perfect illumination Utilize V-Ray's Sun and Sky system for realism Craft custom HDR images for enhanced lighting VIII. Exporting and Importing (1 hour) Learn file formats for seamless sharing and collaboration Prepare models for 3D printing with best practices Integrate models from other software for a unified workflow IX. Conclusion and Next Steps (30 minutes) Recap course knowledge and highlights Access valuable tips and resources for continuous learning Engage in interactive Q&A for feedback and support Resources: Explore V-Ray with a free trial at: https://www.chaosgroup.com/vray/sketchup/free-trial Access material library at: https://www.vray-materials.de/ Discover textures at: https://textures.com/ Downloads: Download Rhino 7 for Windows for a full 90-day evaluation at: https://www.rhino3d.com Experience Rhino 7 for Mac Evaluation with a user-friendly interface and seamless performance for 90 days. Upon completing the Rhino 3D and V-Ray Basic to Intermediate Training Course, participants can expect to achieve the following learning outcomes: Proficiency in Rhino 3D and V-Ray: Develop a comprehensive understanding of Rhino 3D and V-Ray interfaces, tools, and functionalities, enabling participants to navigate and utilize the software effectively. 3D Modeling Skills: Master the art of creating captivating 3D objects and shapes using Rhino 3D, including editing, transforming, and refining designs for diverse applications. Material Application: Acquire the ability to apply and customize materials and textures to enhance the visual appeal and realism of 3D models, elevating the quality of designs. Lighting Techniques: Gain expertise in utilizing V-Ray lighting tools, such as V-Ray lights and HDRI maps, to achieve striking lighting effects in rendered scenes. Rendering Excellence: Learn to optimize V-Ray render settings, control global illumination, and apply dynamic effects like depth of field and motion blur for high-quality and impressive renders. Advanced Modeling: Develop skills in advanced modeling techniques, including handling curves, surfaces, and solids, enabling participants to tackle complex design challenges. Lighting Mastery: Acquire the knowledge and expertise to create and adjust artificial lights, utilize the Sun and Sky system, and craft custom HDR images for realistic lighting setups. Seamless File Management: Understand various file formats for exporting and importing 3D models, facilitating efficient collaboration and preparation for 3D printing. Creative Problem-Solving: Enhance creative thinking and problem-solving abilities through hands-on practice and exploration of diverse design scenarios. Professional Presentation: Learn post-production techniques in Photoshop to enhance renders and create visually appealing design presentations for effective communication. Continuous Learning: Access valuable resources and tips to encourage continuous learning and professional growth in Rhino 3D and V-Ray.

Overview of Strategic Business Planning In today’s fast-changing business world, Strategic Business Planning is more important than ever. In the UK alone, strategic management consulting earns over £14 billion every year. This shows how much companies value strong planning and decision-making. This course is designed to help you understand the key ideas behind Strategic Business Planning and how successful businesses use them. You will learn how to think, make better decisions, and find smart ways to move forward, even when things get tough. The course covers important tools like Porter's Five Forces, PESTLE analysis, and game theory. You will also learn how to write vision statements, check your company’s strengths and weaknesses, and plan your goals clearly and practically. Strategic Business Planning connects your daily activities to your long-term aims, helping your organisation stay focused and efficient. You’ll also look at how to build marketing plans, study risks, and make financial decisions that support your strategy. As businesses in the UK and around the world face more competition, people who understand Strategic Business Planning are in high demand. By learning how to build, follow, and check business strategies, you will become more confident and capable in any business setting. This course gives you the tools to think ahead and lead with purpose using strong Strategic Business Planning skills. Learning Outcomes By the end of this Strategic Business Planning course, you will be able to: Understand key ideas behind business strategy and how companies stay ahead of the competition. Write clear and focused vision and mission statements for any business. Use PESTLE analysis and Porter’s Five Forces to study the business environment. Create strategic marketing plans using customer groups and market positioning. Organise business activities through planning and proper use of resources. Review strategies by looking at financial plans and different business situations. Who is This Course For This Strategic Business Planning course is ideal for: Business managers who want to improve their planning skills and help their company grow using clear strategies. Entrepreneurs and business owners who need to build strong business plans and stay ahead of rivals. Corporate strategy professionals looking to sharpen their skills in analysis and planning. Marketing professionals who want to add strategic thinking to their targeting and brand positioning. Financial analysts who need to understand how business strategies affect money decisions and company value. Process of Evaluation After studying the Strategic Business Planning Course, your skills and knowledge will be tested with an MCQ exam or assignment. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Strategic Business Planning Course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. (Each) Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Requirements You don’t need any educational qualification or experience to enrol in the Strategic Business Planning course. Career Path Completing this Strategic Business Planning course can lead to roles such as: Strategic Business Consultant – £45K to £85K per year Business Development Manager – £35K to £65K per year Corporate Strategy Analyst – £40K to £70K per year Operations Strategy Manager – £50K to £80K per year Strategic Marketing Director – £65K to £120K per year Course Curriculum Section 01: Concept Profile - Strategic Business Planning Strategic Business Planning 00:04:00 Theories of Business Strategy 00:05:00 Game Theory for Business 00:11:00 Theories of Competitive Advantage 00:06:00 Strategic Business Planning Process 00:02:00 Section 02: Preliminary Vision & Mission Statements (Interim Targets & Goals) Preliminary Vision & Mission Statements (Interim Targets & Goals) 00:04:00 Relationship between Vision, Mission and the Business Strategy 00:03:00 Section 03: Strategy Formulation Strategy Formulation 00:01:00 Strategy Formulation (Continued) 00:03:00 Steps: Strategy Formulation 00:01:00 PESTLE Analysis 00:01:00 Michael Porter – 5-Forces & Competitor Analysis 00:01:00 Internal Resource & Capability Analysis 00:02:00 Risk Analysis & Mitigation Tactics 00:03:00 Marketing Plan (USP, Segmentation & Positioning) 00:06:00 Segmentation 00:07:00 Section 04: Strategy Implementation Strategy Implementation 00:02:00 General Operation Planning 00:01:00 Routine Actions (Processes, Procedures & Communication) 00:04:00 External Prospects & Internal Resources Gap Comparison 00:02:00 Section 05: Strategic Evaluation Strategy Evaluation & Feedback 00:01:00 Principles of Strategy Evaluation 00:04:00 Financial Plan, Capital Structure & Valuation 00:07:00 Scenarios in Strategic Decision Making: Case Sensitivity 00:02:00 Revised Vision & Mission Statements (Confirm Target & Goals) 00:03:00 Strategy Evaluation & Feedback 00:01:00

  Delivered in either Live Online (4 days) or in our Classroom (5 days), the ISO/IEC 27001 Lead Auditor training enables you to develop the necessary expertise to support an organization in establishing, implementing, managing and maintaining an Information Security Management System (ISMS) based on ISO 27001. During this training course, you will acquire the knowledge and skills to plan and carry out internal and external audits in compliance with ISO 19011 and ISO/IEC 17021-1 certification process. About This Course   Based on practical exercises, you will be able to master audit techniques and become competent to manage an audit program, audit team, communication with customers, and conflict resolution. After acquiring the necessary expertise to perform this audit, you can sit for the exam and gain the "ISO/IEC 27001 Lead Auditor' credential. By holding this Lead Auditor Certificate, you will demonstrate that you have the capabilities and competencies to` audit organizations based on best practices.   The training course is based on both theory and best practices used in ISMS audits Lecture sessions are illustrated with examples based on case studies Practical exercises are based on a case study which includes role playing and discussions Practice tests are similar to the Certification Exam   The course is delivered both as a Live Online or Classroom environment, as follows; Day 1: Introduction to Information Security Management Systems (ISMS) and ISO/IEC 27001 Day 2: Audit principles, preparation and launching of an audit Day 3: On-site audit activities Day 4: Closing the audit and Examination   Learning Objectives Understand the operations of an Information Security Management System based on ISO/IEC 27001 Acknowledge the correlation between ISO/IEC 27001, ISO/IEC 27002 and other standards and regulatory frameworks Understand an auditor's role to: plan, lead and follow-up on a management system audit in accordance with ISO 19011 Learn how to lead an audit and audit team Learn how to interpret the requirements of ISO/IEC 27001 in the context of an ISMS audit Acquire the competencies of an auditor to: plan an audit, lead an audit, draft reports, and follow-up on an audit in compliance with ISO 19011   The exam covers the following competency domains:   Domain 1: Fundamental principles and concepts of an Information Security Management System (ISMS) Domain 2: Information Security Management System controls and best practices based on ISO/IEC 27002 Domain 3: Planning an ISMS implementation based on ISO/IEC 27001 Domain 4: Implementing an ISMS based on ISO/IEC 27001 Domain 5: Performance evaluation, monitoring and measurement of an ISMS based on ISO/IEC 27001 Domain 6: Continual improvement of an ISMS based on ISO/IEC 27001 Domain 7: Preparing for an ISMS certification audit Prerequisites   A foundational understanding of ISO/IEC 27001 and knowledge of audit principles.    What's Included?   Refreshments & Lunch (Classroom only) Course Slide Deck Official Study Materials CPD Certificate The Exam   Who Should Attend?   Auditors seeking to perform and lead Information Security Management System (ISMS) certification audits Managers or consultants seeking to master an Information Security Management System audit process Individuals responsible for maintaining conformance with Information Security Management System requirements Technical experts seeking to prepare for an Information Security Management System audit Expert advisors in Information Security Management Our Guarantee   We are an approved IECB Training Partner for all of our courses. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training and exam retake offered Accreditation Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question, essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 240 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success.   Provided by   This course is Accredited by NACS and Administered by the IECB

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? 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 Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. 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