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Duration 1 Days 6 CPD hours This course is intended for To ensure success, students should have completed Excel Essentials and Excel Functions Including Pivot Tables and Lookups or have the equivalent knowledge and experience. Overview Upon successful completion of this course, students will be able to enhance productivity and efficiency by streamlining workflow, collaborate with others, and audit and analyse data. This course is designed for students desiring to gain skills necessary to create macros, collaborate with others, audit and analyse data, incorporate multiple data sources, and import data. Working with Multiple Worksheets and Workbooks Working with Named Ranges Link Cells Across Worksheets and Workbooks Use 3D References to Calculate Across Worksheets Consolidate Data Use Formula Auditing and Error Checking Reveal Formulas Trace Cell Precedents and Dependents Locate Errors in Formulas Watch and Evaluate Formulas Reviewing and Protecting Workbooks Control Data Entry via Data Validation Protect Workbook Access Protect Worksheets and Cell Content Add and Edit Comments Prepare a Workbook for Distribution Modify Excel's Default Settings Using Macros to Automate Workbook Functionality Create Macros via Recording Run Macros via Buttons and Shortcuts Assign Macros to the Quick Access Toolbar and Ribbon Assign Macros to Objects View Macro Code Forecasting and Analysis Data Use Conditional Formatting to Highlight, Sort and Filter Key Data Advanced Conditional Formatting using Formulas Create Sparklines to Visualise Data Add Trendlines to Charts to Visualise and Forecast Trends Use Data Tables and Scenarios to Project Potential Outcomes Use Goal Seek to Calculate Outcomes Forecast Data Trends Using Solver

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

Use Cases for Business Analysis: Virtual In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AI-900T00 - Microsoft Azure AI Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Server Administrators Systems Engineers Storage Administrators Technical Solutions Architects Integrators and Partners Consulting Systems Engineers Network Administrators Network Engineers Network Managers Architects Overview Upon completion of this course, the student will be able to meet these overall objectives: Understand, describe, and configure Cisco Intersight (on prem and SaaS models) Understand, describe, and configure Intersight Advanced features (IST, ICO, IWOM) Understand, describe, and configure IMM and UMM mode for UCS Understand, describe, and configure Cisco X-Series (FI, IFM, X210c Server, Adv Fabric Module) Create Intersight Pools, Policies, and Management for X-Series Design and operate Cisco UCS with Intersight Managed Mode Solutions This deep-dive training covers Cisco UCS X-Series server family and how Intersight can be the enablement platform for all UCS servers. We will cover Intersight features such as IWOM, IST, ICO, and programmability either On-Prem or in the Cloud. Attendees will learn the breadth of the physical X-Series (pools, policies, firmware, so much more) platform as well as maintaining existing infrastructure with Intersight Infrastructures Services. Also covered is how to manage physical, virtual, cloud platforms and deploy to any or all. Section 1: Intersight Foundations Intersight Architecture Flexible Deployment Models Cisco Intersight Infrastructure Service Licensing Intersight Essentials License Tier Intersight Advantage License Tier Intersight Premier License Tier Section 2: Monitoring and Maintaining UCS Infrastructure with Intersight Device Health and Monitoring Standalone Management for UCS C-Series Servers Server Compatibility (HCL), Advisories (CVEs), and Contract Status Firmware Upgrades Section 3: Designing & Operationalizing Cisco UCS Solutions with Intersight Implementing Cisco Hyperflex with Intersight Managing Cisco HyperFlex in vSphere Environment Section 4: Cisco UCS M5, M6, X Overview and Configuration Cisco UCS X-Series with Intersight Deployment Architecture X-Series Fabric Interconnects Compute X-Series Power/Cooling Efficiency Cooling Capacity Airflow Thermal Policies Future-Proof Cooling Power Policies Compute Series Architecture ? C220 M6 Architecture ? C240 M6 Cisco VIC Offerings for M6 GPU Offerings for X-Series Management Options for C220 / C240 M6 Rack Servers UCS 7th Generation Intel Rack Servers Architecture ? C220 M7 Architecture ? C240 M7 Intel 4th Gen Intel© Xeon© SP Sapphire Rapids High Level Features M7 Memory DIMMs Architecture ? C225 M6 Architecture ? C245 M6 Section 5: Designing Cisco UCS LAN and SAN Connectivity LAN Connectivity Overview Gen 4 End Host Mode Requirements for Configuring VLANs in Cisco UCS Manager Role of the vNIC in Abstracting MAC Addresses Configuring Compute Node SAN Connectivity Fibre Channel Switching Fibre Channel Operating Modes EHM and N-Port Virtualization Configuring VSANs in Cisco UCS Manager Creating VSANs and FCoE VLANs in Cisco UCS Role of vHBAs when Abstracting WWNNs and WWPNs into a Service Profile Configuring Manual Uplink Pinning and Recovery from Failure Section 6: Configuring Cisco UCS-X in IMM Mode IMM and Domain Profiles Domain Policy Concepts and Usage Cisco Intersight Server Profiles Creating and Deploying a UCS C-Series Server Profile ? Process Overview Importing a Server Profile ? Process Overview Upgrading Firmware Cisco IMM Transition Tool Thermal Policies Power Policies Section 7: Implementing Cisco UCS-X Firmware Updates Intersight Platform Firmware Operations Overview Intersight Firmware Bundles Cisco Stand-Alone Firmware Management Cisco HX Firmware Management UCS Managed Infrastructure Firmware Management UCS Intersight Managed Mode Firmware Management Hardware Compatibility List Section 8: Intersight Workload Optimizer (IWO) Intersight Workload Optimizer Overview IWO Delivery and Tiers Workload Optimizer ? What?s New? IWO Value Proposition Application Resource Management IWO Market Section 9: Intersight Cloud Orchestrator (ICO) Sample Scenario Workflow Designer Validate and Execute a Workflow ICO ? Intersight Cloud Orchestrator Infrastructure Orchestration Infrastructure as Code with ICO Immutability with Intersight Cloud Orchestrator Workflow Versions Rollback Tasks (Task Designer) Section 10: Intersight API Overview Intersight API Resources SDKs / Ansible Modules Use Case Additional course details: Nexus Humans Administering Cisco UCS X-Series Solutions with Intersight (INTUCSX) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Administering Cisco UCS X-Series Solutions with Intersight (INTUCSX) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Experienced security administrators or network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX-T Data Center Explain the features and benefits of NSX-T Data Center Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ and KVM hosts to participate in NSX-T Data Center networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX-T Data Center Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training on how to install, configure, and manage a VMware NSX-T? Data Center environment. This course covers key NSX-T Data Center features and functionality offered in the NSX-T Data Center 3.2 release, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and NSX-T Data Center Introduce the VMware Virtual Cloud Network vision Discuss NSX-T Data Center solutions, use cases, and benefits Explain NSX-T Data Center architecture and components Describe the VMware NSXTM product portfolio and features Explain the management, control, data, and consumption planes and function Preparing the NSX-T Data Center Infrastructure Describe NSX Management Cluster Deploy VMware NSXTM ManagerTM nodes on VMware ESXi and KVM hypervisors Navigate through the NSX Manager UI Explain data-plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and establish the data center infrastructure Verify transport node status and connectivity NSX-T Data Center Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the GENEVE encapsulation Configure logical segments and attach hosts using NSX Manager UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX-T Data Center Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 Gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 Gateways Examine the single-tier and multitier packet flow Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on Tier-0 Gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX-T Data Center Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX-T Data Center Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX-T Data Center Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy the NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of NSX Intelligence Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX-T Data Center Services Describe NSX-T Data Center services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX Manager UI NSX-T Data Center User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX-T Data Center Integrate VMware Identity Manager with NSX-T Data Center Integrate LDAP with NSX-T Data Center Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access NSX-T Data Center Federation Introduce the NSX-T Data Center Federation key concepts, terminology, and use-cases. Explain the onboarding process of NSX-T Data Center Federation Describe the NSX-T Data Center Federation switching and routing functions. Describe the NSX-T Data Center Federation security concepts.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Why Choose 3D AutoCAD Basics to Advanced Training Course? Students learn how to create and modify both solid and surface models. This AutoCAD Training course also teaches students how to present their designs in 3D products and designs. Check our Website Duration: 16 hours Approach: 1-on-1, Book your own day and time. We are open Monday to Saturday 9 am to 7 pm.  How to Book this course? Call us on 02077202581 and we will book the dates and times you like. Flexible Schedule: 1-on-1 Face to Face or Live Online. AutoCAD 3D Training: Comprehensive Course Overview Exploration of 3D Modeling and Imaging Generating 3D Drawings Navigating the 3D Modeling Workspace Crafting 3D Shapes using Solid Tools Extruding Polylines into 3D Forms Isolating Coordinates with Point Filters Navigating and Orienting Your Model Achieving Visual Effects Converting 3D Views into 2D AutoCAD Drawings Advanced 3D Techniques Setting Up AutoCAD for 3D Mastering the User Coordinate System Leveraging UCS Options Utilizing Viewports for 3D Drawing Employing Array Tools Crafting Complex 3D Surfaces Constructing Spiral Forms Developing Surface Models Manipulating Objects in 3D Space Rendering and Visualization of 3D Drawings Introduction to Rendering Rapid Rendering Techniques Simulating Sunlight and Shadows Application and Adjustment of Materials Creating Effects with Lights and Materials Texture Mapping and Adjustments Exploration of Rendering Options Enhancing Views with Cameras Printing Rendered Drawings Simulating Natural Lighting Editing and Visualizing 3D Solids Overview of Solid Modeling Creation of Basic and Complex Solids Editing Solid Forms Improving the 2D Drawing Process Visualization and Analysis of Solids Exploration of 3D Mesh and Surface Modeling Introduction to 3D Meshes and Surfaces Creation and Editing of 3D Meshes Crafting Mesh Surfaces Conversion of Meshes to Solids Understanding and Editing 3D Surfaces Customization of Interface and Tools Customization of Workspaces Personalization of the User Interface Creation of Macros in Tools and Menus Working with Expanded Text Boxes Saving and Managing Customizations Exploration of the Diesel Macro Language Designing Custom Linetypes and Hatch Patterns Management and Sharing of Your Drawings Sharing Drawings Online ePublishing Your Work Managing Drawings with DesignCenter and Tool Palettes Exploring the Drawing Library with Content Explorer Establishment of Office Standards Conversion of Layer Settings https://www.autodesk.co.uk  Download a free 30-day trial of AutoCAD Learning outcomes after completing the AutoCAD 3D course. Professional Presentation: Create dynamic walkthroughs and presentations that effectively communicate your 3D models and designs. Certification: Obtain a certification as proof of your proficiency in AutoCAD 3D modeling, validating your skills in the industry. Mastery of 3D Modeling: Possess comprehensive skills, from fundamental concepts to advanced techniques in 3D modeling. Enhanced Career Prospects: Improve your career opportunities and prospects in various design-related fields such as architecture, engineering, and product design. Realistic Rendering: Be able to create highly realistic visualizations that enhance the quality of your designs. Practical Hands-On Experience: Gain practical experience and confidence in 3D modeling through extensive hands-on practice. Personalized Learning: Benefit from one-on-one attention and tailored training to meet your specific learning needs and pace. Lifetime Email Support: Continue to receive assistance and guidance through lifetime email support, ensuring you are supported even after completing the course. 3D AutoCAD Training Courses Gain confidence and proficiency in AutoCAD. Discover the fundamentals of 3D modeling and object creation in this introductory AutoCAD 3D course. Booking Your Training Course: Experience personalized training with our adaptable 1-on-1 sessions. You have the freedom to customize your schedule by reserving a convenient hour at your discretion. Our booking slots are available from Monday to Saturday, spanning from 9 a.m. to 7 p.m. You can also reach us at 02077202581 to make a booking over the phone. Course Duration: 10 hours "You have the flexibility to divide these 10 hours across multiple days to suit your ideal schedule." Training Method: 1-on-1 (In-person face-to-face or Live Online) Expect personalized attention, tailor-made content, a flexible learning pace, and dedicated individual support throughout your training journey. This hands-on course provides ample opportunities to experiment with newly acquired techniques and seek answers to your questions. Key Features: An introductory course tailored to AutoCAD 3D's essential features. Abundant one-on-one guidance and dedicated question time. Friendly expert trainers, small class sizes, and a comfortable learning environment. Comprehensive course materials and additional resources. Ongoing support and assistance with post-course challenges. What Will You Learn? This course will equip you with the foundational knowledge and workflows necessary to create 3D models within AutoCAD 3D. You will delve into the creation and modification of both solid and surface models. Upon completion, you will be able to: Effortlessly fashion intricate shapes by combining simple elements. Precisely extract geometries and dimensions from your creations. Easily customize the view and presentation style of your objects. Is This Course Right for You? No prior experience with AutoCAD 3D is required. This course caters to individuals proficient in working with 2D objects who aspire to construct 3D models of their designs. Gain proficiency in the fundamental tools and functionalities to create precise and professional 2D and 3D drawings, advancing to more complex techniques. Enhanced Efficiency: Discover time-saving strategies, tips, and workflows that will boost your productivity and streamline your design process within AutoCAD 3D. Versatility in Design: Develop the skills needed to undertake a wide range of projects, from architectural plans and engineering drawings to mechanical components and electrical schematics. Industry-Recognized Expertise: Cultivate in-demand skills relevant to architecture, engineering, construction, and manufacturing, paving the way for career advancement and professional development. Accessible Lesson Recordings: Access recorded lessons at your convenience to review and reinforce course material whenever necessary. Continuous Email Support: Benefit from ongoing assistance with lifetime email support, ensuring you have access to guidance, answers, and clarifications even beyond the completion of the course.