Course Overview: The "CAD Designer Training" course provides a comprehensive introduction to the world of Computer-Aided Design (CAD). Learners will explore the core principles, tools, and techniques used in CAD software to create both 2D and 3D designs. The course covers fundamental topics such as shape creation, geometry, modelling, and assemblies, along with software introductions to AutoCAD, T-Flex, SolidWorks, and FreeCAD. By the end of this course, participants will have a solid understanding of CAD design and the technical skills necessary to pursue a career in design, engineering, or architecture. Course Description: This in-depth course is designed to equip learners with the essential skills for becoming proficient in CAD design. It covers a variety of important areas, including the basics of CAD design, 2D and 3D shape creation, geometry and modelling, and assembly techniques. Learners will gain an introduction to industry-standard software such as AutoCAD, T-Flex, SolidWorks, and FreeCAD, allowing them to explore multiple platforms used in the CAD design field. With modules covering extrusion, rotations, grids, polygons, and civil drawings, this course ensures learners develop a comprehensive understanding of the tools and techniques used by CAD professionals. It is an excellent foundation for anyone wishing to pursue a career in the design and engineering sectors. Course Modules: Module 01: Introduction to CAD Design Module 02: CAD Designer Career in the United Kingdom Module 03: Basics for CAD Design – Part 1 Module 04: Basics for CAD Design – Part 2 Module 05: 2D Shape in CAD Module 06: 3D Shape in CAD Module 07: Geometry and Modelling Module 08: Assemblies in CAD Design Module 09: Extrusion and Rotations Module 10: Blending Operations in CAD Module 11: Grids and Regular Polygons Module 12: Parameters in Civil Drawings Module 13: Introduction to AutoCAD Module 14: Introduction to T-Flex CAD Module 15: Introduction to SolidWorks Module 16: Introduction to FreeCAD (See full curriculum) Who is this course for? Individuals seeking to build a career in design and engineering. Professionals aiming to develop their CAD design skills. Beginners with an interest in CAD software and design. Those pursuing opportunities in the construction, architecture, or manufacturing industries. Career Path: CAD Designer 3D Modeler Architectural Drafter Mechanical Designer Civil Drafter Product Designer Engineering Assistant Design Consultant
Course Overview The DeepSeek Masterclass: A Complete DeepSeek Zero to Hero! provides a comprehensive exploration of the DeepSeek AI ecosystem, designed to guide learners from fundamental understanding to advanced applications. This course equips individuals with the knowledge to navigate the capabilities of DeepSeek across various domains such as software development, business analysis, and education. Whether you're looking to stay current in a rapidly evolving technological landscape or explore how AI transforms diverse sectors, this course offers a structured pathway. By the end of the programme, learners will be able to understand DeepSeek’s architecture, apply its tools across multiple contexts, and critically evaluate its potential within both technical and professional settings. Course Description This course delves into the foundational principles and progressive applications of DeepSeek, starting from basic concepts in artificial intelligence through to its tailored use in education, business, and software environments. Learners will explore how to configure and interpret DeepSeek outputs, understand the structure of AI decision-making, and evaluate its integration across various workflows. Key modules address the needs of developers, educators, students, and professionals seeking efficient AI-driven solutions. Throughout the course, learners will be introduced to scenario-based uses of DeepSeek, helping them build a contextual understanding of its functions. The curriculum is designed to support strategic thinking, digital literacy, and informed adoption of AI tools in both academic and professional environments. Course Modules Module 01: Getting Started Module 02: Foundations of Artificial Intelligence (AI) Module 03: Setting up DeepSeek AI for Beginners Module 04: DeepSeek for Software Developers Module 05: DeepSeek for Business Professionals Module 06: DeepSeek Smart Solutions for Students Module 07: The Power of DeepSeek Module 08: DeepSeek for Teaching Professionals (See full curriculum) Who is this course for? Individuals seeking to build an informed understanding of DeepSeek and AI. Professionals aiming to implement AI solutions within their field. Beginners with an interest in artificial intelligence and its uses. Educators, students, and technologists exploring innovative learning and working tools. Career Path AI Integration Analyst Business Intelligence Associate Education Technology Consultant Software Solution Strategist Digital Transformation Specialist AI Literacy Educator
Javascript for Data Structures Course Overview This course, JavaScript for Data Structures, offers a comprehensive introduction to fundamental data structures using JavaScript. Learners will explore core concepts such as lists, stacks, queues, and sets, gaining a solid understanding of how data is organised and managed in programming. The course emphasises clear, logical thinking and problem-solving skills applicable to software development, data analysis, and computer science. By the end, participants will be able to implement key data structures effectively, enhancing their coding proficiency and preparing them for more advanced programming challenges or career opportunities in technology-related fields. Course Description This course delves into essential data structures within JavaScript, providing detailed coverage of lists, stacks, queues, and sets. Learners will study how these structures operate, their use cases, and how to manipulate them efficiently in code. The curriculum is designed to develop both theoretical understanding and coding ability through structured explanations and examples. Throughout the course, students will develop skills in data organisation, algorithmic thinking, and memory management principles. This knowledge is critical for writing optimised code and tackling complex computational problems in software development and data science domains. Javascript for Data Structures Curriculum Module 01: Introduction Module 02: Essential Concepts Module 03: List Data Structure Module 04: Stack Data Structure Module 05: Queue Data Structure Module 06: Set Data Structure Module 07: Final Thought (See full curriculum) Who Is This Course For? Individuals seeking to build strong foundations in data structures using JavaScript. Professionals aiming to enhance their software development skills. Beginners with an interest in programming and computer science. Students preparing for technical roles in coding or data analysis. Career Path Software Developer Front-End Developer Data Analyst Junior Programmer Computer Science Student
Refactor Javascript Course Overview This Refactor JavaScript course provides learners with essential techniques to improve and optimise their existing JavaScript code. Focusing on enhancing code readability, maintainability, and performance, the course guides learners through identifying common code issues and applying structured improvements. By mastering refactoring principles, participants will be able to transform complex, inefficient scripts into clean, modular, and scalable solutions. The course is designed to boost problem-solving abilities and coding discipline, preparing learners to write more efficient and professional JavaScript. This knowledge is vital for developers aiming to improve legacy codebases or enhance collaboration within development teams. Course Description This course covers core refactoring concepts specific to JavaScript, starting with recognising problematic code patterns known as code smells. Learners will explore techniques for refining code elements such as functions, variables, and classes, followed by strategies to reorganise overall code structure for improved clarity and performance. The content emphasises systematic approaches to restructuring code without changing its external behaviour, helping participants understand best practices and coding standards. Through detailed explanations and examples, learners will gain confidence in evaluating and improving existing JavaScript projects. The course aims to develop skills crucial for maintaining high-quality software and supporting ongoing development in dynamic environments. Refactor Javascript Curriculum: Module 01: Introduction Module 02: Code Smells Module 03: Code Elements Refactoring Module 04: Code Structure Refactoring Module 05: Conclusion (See full curriculum) Who is this course for? Individuals seeking to enhance their JavaScript coding quality. Professionals aiming to advance their software development skills. Beginners with an interest in JavaScript programming and software design. Developers involved in maintaining or improving existing codebases. Career Path Front-End Developer Full-Stack Developer Software Engineer JavaScript Developer Web Application Developer
Duration 1 Days 6 CPD hours This course is intended for Looking for a way to extend your business operations? Look no further than the App in a Day workshop! In this one day course you will learn to build a custom, secure business application that you can share across your organise and will run across multiple platforms including tablets and mobile devices. Power Platform is a secure and scalable platform for building your own applications. In this course, you will learn how to build an application from the ground up by building the required UX, Backend, and frontend. All this without writing any code. Overview Some of the applications of the Power Platform you will learn to build will allow you to potentially: A) Share information with trusted colleagues and associates B) Monitor and manage your business operations C) Monitor and manage your customers D) Share business news on social media E) Share business photos and footage This course will teach you how to build your own application that is completely secure and private. Power Apps Canvas App Connect to data sources and filter results based on specified criteria Work with screens and navigation Use controls, properties, formulas, and actions to customize the user experience Display the logged in user?s name Configure app settings Save and share an app Run an app on a mobile device Microsoft Dataverse Create and customize a custom table Use the Form control Save data into the Microsoft Dataverse using the Form control Microsoft Dataverse Create a standalone Model-driven app. Customize forms for the Model-driven app Use a Business Process Flow to guide users through a process Microsoft Dataverse Create a flow that is triggered when a new Microsoft Dataverse row is created Automate sending approval requests Customize the approval based on the Microsoft Dataverse row Use the Approval centre
Who is this course for? SketchUp Basic Level Training Course. Click here for more info: Website Ideal for newcomers to 3D modeling, it suits students, hobbyists, and professionals. Gain a strong foundation in SketchUp, perfect for careers in architecture and interior design. Our flexible 1-on-1 sessions let you tailor your learning schedule. Schedule sessions Monday to Saturday, 9 am to 7 pm. The 5-hour course adapts to your timeline, ensuring a personalized, supportive, and adaptable learning experience. Course Title: SketchUp Basic Course. Course Duration: 5 hours Understanding the Basics of SketchUp Introduction to SketchUp Navigating the SketchUp Environment Exploring Zoom, Pan, and Rotate Functions Familiarizing Yourself with the XYZ Axis Mastering SketchUp Tools Efficient Toolbar Selections Utilizing Templates for Projects Drawing with Precision Using the Pencil Tool Working with Fundamental Geometric Shapes Taking Accurate Measurements Advanced SketchUp Techniques Creating Circles and Arcs Harnessing Sticky Geometry Solutions Unveiling the Power of Tags (Formerly Layers) Streamlining Workflow with Keyboard Shortcuts Accurate Object Measurement within SketchUp Information Management and Database Usage Moving and Copying Objects Simple Array Techniques Mastering Rotational Manipulations Effortless Rotational Copying Fractional and Relative Scaling Component and Group Creation Constructing Components for Reusability Creating Efficient Groups Comparing the Advantages of Components and Groups Saving and Reusing Components Importing Components from Digital Repositories Advanced Modeling and Geometry Leveraging Push-Pull Operations Creating Complex Shapes with the Follow Me Tool Exploring Geometry Intersections Duplicating and Offsetting Faces, Edges, and Polygons Incorporating 2D Polygons into Your Drawings Skillful Use of the Paint Bucket Tool Materials and Textures Proficiency with the Materials Editor Applying High-Quality Textures Sourcing and Positioning Textures Graphics and Bitmap Considerations Crafting Scenes and Styles Generating and Customizing Scenes Managing Scenes and Styles Introduction to Animation and Presentation Animation Concepts Adding Dimensions to Your SketchUp Models Annotating Designs for Clarity Preparing Models for Printing Exporting Images and PDFs in 2D Formats This comprehensive SketchUp Fundamentals course will equip you with essential skills to create, modify, and present 3D models effectively. After completing our 5-hour SketchUp training, you'll achieve the following learning outcomes: Basic SketchUp Proficiency: Gain essential skills to navigate the SketchUp interface and utilize its core features effectively. Geometry Creation: Learn to create 2D and 3D geometric shapes, lines, and curves with precision. Rendering Concepts: Understand the fundamentals of rendering and how to apply basic rendering techniques to enhance your designs. Model Organization: Discover techniques for organizing and structuring your SketchUp models efficiently. Visualization Skills: Develop the ability to visualize and plan architectural and interior design concepts in 3D. Efficient Workflows: Acquire time-saving tips and tricks for streamlining your design workflow. Personal Projects: Apply your newfound skills to your personal design projects or professional endeavors. By the end of this short training, you'll have a solid foundation in SketchUp, allowing you to create and present basic 3D models and designs effectively. After SketchUp Training, You'll Acquire: Advanced 3D Modeling: Master the art of creating intricate 3D models, architectural designs, and detailed structures using SketchUp. Texture Mapping and Material Application: Learn to apply realistic textures and materials, enhancing the visual appeal of your 3D creations. Rendering Techniques: Explore rendering plugins like V-Ray or Twilight Render to create lifelike visualizations of your designs. Collaboration and Presentation: Develop skills to effectively collaborate with teams and present your ideas in professional and compelling ways. Project Visualization: Enhance your ability to transform conceptual ideas into visually stunning and detailed 3D representations. Job Opportunities: Architectural Designer: Create detailed architectural models for residential and commercial projects. Interior Designer: Design interior spaces, visualizing furniture placements, colors, and decor elements. Landscape Architect: Develop 3D landscape designs, showcasing outdoor spaces and environmental elements. 3D Modeler: Work in various industries, creating 3D models for animations, games, or simulations. Visualization Specialist: Provide visualization services to real estate agencies, design firms, or marketing companies, transforming ideas into compelling visuals. Why Choose Us? Tailored One-on-One Training: Exclusive coaching from skilled architects and designers, in-person or live online, Monday to Saturday. Customized Tutorials: Enhance your skills with tailored video tutorials to take home. Comprehensive Learning: Receive digital resources for thorough understanding and revision. Free Ongoing Support: Enjoy continuous assistance via phone or email, ensuring your success beyond the course. Flexible Syllabus: Adapted to your needs for focused learning. Official Certificate: Validate your expertise with our prestigious certification.
This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds
Duration 1 Days 6 CPD hours This course is intended for Individuals with basic computer skills, familiar with concepts related to database structure and terminology, and who want to use SQL to query databases. Overview Upon successful completion of this course, students will be able to: - connect to the SQL Server database and execute a simple query. - include a search condition in a simple query. - use various functions to perform calculations on data. - organize data obtained from a query before it is displayed on-screen. - retrieve data from tables. - format an output, save a result, and generate a report. In this course, students will compose SQL queries to retrieve desired information from a database. 1 - Executing a Simple Query Connect to the SQL Database Query a Database Save a Query Modify a Query Execute a Saved Query 2 - Performing a Conditional Search Search Using a Simple Condition Compare Column Values Search Using Multiple Conditions Search for a Range of Values and Null Values Retrieve Data Based on Patterns 3 - Working with Functions Perform Date Calculations Calculate Data Using Aggregate Functions Manipulate String Values 4 - Organizing Data Sort Data Rank Data Group Data Filter Grouped Data Summarize Grouped Data Use PIVOT and UNPIVOT Operators 5 - Retrieving Data from Tables Combine Results of Two Queries Compare the Results of Two Queries Retrieve Data by Joining Tables Check for Unmatched Records Retrieve Information from a Single Table Using Joins 6 - Presenting Query Results Save the Query Result Generate an XML Report
Duration 5 Days 30 CPD hours This course is intended for Linux system administrators, virtualization administrators, and hybrid infrastructure engineers interested in deploying large-scale virtualization solutions and managing virtual servers in their datacenters, based on the Red Hat Virtualization open virtualization management platform. Overview As a result of completing this offering, you should be able to create and deploy Red Hat Virtualization and virtual servers. Using a single, full-service management interface, Red Hat Virtualization Manager, you will be able to configure, manage, and migrate systems within the virtualization environment. In this course you will develop the skills needed to deploy, administer, and operate virtual machines in your organization using Red Hat© Virtualization. Through numerous hands-on exercises, you will demonstrate the ability to deploy and configure the Red Hat Virtualization infrastructure and use it to provision and manage virtual machines. This offering also prepares you for the Red Hat Certified Specialist in Virtualization exam.This course is based on Red Hat Enterprise Virtualization 4.3 and Red Hat Enterprise Linux© 7.6 and 8, as well as Red Hat Hyperconverged Infrastructure for Virtualization 1.6.This course covers the same material as RH318, but includes the Red Hat Certified Specialist in Virtualization exam (EX318). Red Hat Virtualization overview Explain the purpose and architecture of Red Hat Virtualization. Install and configure Red Hat Virtualization Install a minimal Red Hat Virtualization environment and use it to create a virtual machine. Create and manage datacenters and clusters Organize hypervisors into groups using datacenters and clusters. Manage user accounts and roles Configure user accounts using a central directory service, then use roles to assign access to resources based on job responsibilities. Adding physical hosts Add additional Red Hat Virtualization hosts automatically, and move and remove hosts from datacenters as needed. Scale Red Hat Virtualization infrastructure Add Red Hat Virtualization hosts automatically, configure Red Hat Enterprise Linux hosts when appropriate, and move and remove hosts from data centers as needed. Manage Red Hat Virtualization networks Separate network traffic into multiple networks on one or more interfaces to improve the performance and security of Red Hat Virtualization. Manage Red Hat Virtualization storage Create and manage data and ISO storage domains. Deploy and manage virtual machines Operate virtual machines in the Red Hat Virtualization environment. Migrate virtual machines Migrate and control automatic migration of virtual machines. Manage virtual machine images Manage virtual machine snapshots and disk images. Automating virtual machine deployment Automate deployment of virtual machines by using templates and cloud-init. Back up and upgrade Red Hat Virtualization Back up, restore, and upgrade the software in a Red Hat Virtualization environment. Explore high-availability practices Explain procedures to improve the resilience and reliability of Red Hat Virtualization by removing single points of failure and implementing high-availability features. Perform comprehensive review Demonstrate skills learned in this course by installing and configuring Red Hat Virtualization; using the platform to create and manage virtual machines; and backing up and updating components of Red Hat Virtualization.
Duration 2 Days 12 CPD hours This course is intended for This course is for IT network or security professionals who have practical experience with the ProxySG in the field and wish to master the advanced network security of the ProxySG. Overview Solve common authentication and SSL issuesUnderstand the underlying architecture of SGOSMonitor and analyze ProxySG performanceUse policy tracing as a troubleshooting tool The ProxySG 6.6 Advanced Administration course is intended for IT professionals who wish to learn to master the advanced features of the ProxySG. Using Authentication Realms Describe the benefits of enabling authentication on the ProxySG Describe, at a high level, the ProxySG authentication architecture Understand the use of IWA realms, with both IWA Direct and IWA BCAAA connection methods Understanding Authentication Credentials Describe how NTLM and Kerberos authentication work in both IWA direct and IWA BCAAA deployments Configure the ProxySG to use Kerberos authentication Understanding Authentication Modes Describe authentication surrogates and authentication modes Describe ProxySG authentication in both explicit and transparent deployment mode Understanding HTTPS Describe key components of SSL encryption Describe how the SSL handshake works Describe some of the legal and security considerations related to use of the SSL proxy Managing SSL Traffic on the ProxySG Describe how the SSL proxy service handles SSL traffic Describe the standard keyrings that are installed by default on the ProxySG Identify the types of security certificates that the ProxySG uses Optimizing SSL Interception Performance Configure the ProxySG to process SSL traffic according to best practices for performance SGOS Architecture Identify key components of SGOS Explain the interaction among client workers and software workers in processing client requests Explain the significance of policy checkpoints Describe key characteristics of the SGOS storage subsystem Explain the caching behavior of the ProxySG Caching Architecture Describe the benefits of object caching on the ProxySG Explain the caching-related steps in a ProxySG transaction Identify and describe the HTTP request and response headers related to caching Describe, in general terms, how the ProxySG validates cached objects to ensure freshness Explain how the ProxySG uses cost-based deletion, popularity contests, and pipelining to improve object caching System Diagnostics Describe the use of the health monitor and health checks Explain the use of the event and access logs Describe the information available in advanced URLs and sysinfo files Describe the function of policy tracing and packet captures Introduction to Content Policy Language (CPL) Describe the fundamental concepts and purposes of ProxySG policy transactions Understand the relationship of layers, rules, conditions, properties, and triggers Describe the two types of actions in CPL Describe how to write, edit, and upload CPL code Using Policy Tracing for Troubleshooting Identify the two main types of ProxySG policy traces Describe the various sections of a policy trace result Configure a global and policy-driven trace Access and interpret policy trace results ProxySG Integration Identify other Symantec products that can be used as part of a complete security solution