3990 Engineer courses in Pontypool delivered Online

This Level 4 practitioner award encourages individuals in or working towards a leadership role (this could be an IT or technical based-role), and you want to demonstrate modern leadership behaviours to nurture a high-performing team, especially during a time of organisational change.

A course by Sekhar Metla IT Industry Expert RequirementsNo pre-knowledge is required - enthusiasm is all you need!, you will be trained from scratchNo paid software required - all coding will be created with open sourceA PC or Mac computer with access to the internetNo programming experience needed. You will learn everything you need to know Audience Beginners - Those who are new to web development and want to learn both frontend and backend technologies. Frontend Developers looking to expand their skills and venture into backend development to enhance their career opportunities. Backend Developers seeking to gain expertise in frontend technologies to be able to build complete web applications and work on both ends of the development stack. Aspiring Full Stack Developers Individuals who aspire to work as full stack developers and want to gain a comprehensive understanding of the entire web development process. Web Designers - who want to complement their design skills with coding abilities and create fully functional web applications. Software Engineers interested in strengthening their skills and knowledge in full stack development to contribute effectively to end-to-end projects. Computer Science Students studying computer science or related fields who wish to get hands-on experience and practical knowledge in web development. Career Changers Professionals from other industries who want to transition into the field of web development and need a complete understanding of full stack technologies. Who wants to become a Full stack developer curious about full stack development and data science Audience Beginners - Those who are new to web development and want to learn both frontend and backend technologies. Frontend Developers looking to expand their skills and venture into backend development to enhance their career opportunities. Backend Developers seeking to gain expertise in frontend technologies to be able to build complete web applications and work on both ends of the development stack. Aspiring Full Stack Developers Individuals who aspire to work as full stack developers and want to gain a comprehensive understanding of the entire web development process. Web Designers - who want to complement their design skills with coding abilities and create fully functional web applications. Software Engineers interested in strengthening their skills and knowledge in full stack development to contribute effectively to end-to-end projects. Computer Science Students studying computer science or related fields who wish to get hands-on experience and practical knowledge in web development. Career Changers Professionals from other industries who want to transition into the field of web development and need a complete understanding of full stack technologies. Who wants to become a Full stack developer curious about full stack development and data science

Overview Construction management is vast, and the global construction market is forecasted to grow by 85% to $15.5 TRILLION worldwide by 2030. The Diploma in Construction Management becomes an essential learning tool for those aspiring to spearhead this growth. This comprehensive course covers all the critical facts of construction management, equipping students with the essential knowledge and in-demand skills to oversee complex Construction projects seamlessly. This Construction diploma covers everything from the project life cycle to the legal aspects of contracting, giving you a complete understanding of construction management. Key Features of the Course: FREE Construction Management CPD-accredited certificate Get a free student ID card with Construction Management training (£10 applicable for international delivery) Lifetime access to the Construction Management course materials The Construction Management program comes with 24/7 tutor support Get instant access to this Construction Management course Learn Construction Management training from anywhere in the world The Construction Management training is affordable and simple to understand The Construction Management training is an entirely online Description This course provides essential knowledge and skills for managing construction projects effectively. Learn about project planning, budgeting, team coordination, and legal requirements to confidently oversee construction projects from start to finish. Course Curriculum: 1 sections • 18 lectures • 06:43:00 hours total •Module 01: Introduction to Construction Management •Module 02: Project Life Cycle and Success •Module 03: Cost Management •Module 04: Preliminary Site Investigation and Site Organization •Module 05: Site Management •Module 06: Planning and Management of Equipment •Module 07: Construction Materials Management •Module 08: Vendor Analysis in Construction Management •Module 09: Construction Procurement •Module 10: Stock Control •Module 11: Supply Chain Management •Module 12: The Main Participators •Module 13: Quality Assurance and Customer Care •Module 14: Legal Aspects of Contracting •Module 15: Human Resources Management •Module 16: Risk and Value Management •Module 17: Communications, Information and Documentation of Construction •Module 18: Health and Safety in Construction Management Career path Having these various qualifications will increase the value of your CV and open you up to multiple sectors such as: Construction Manager Site Manager Project Manager Quantity Surveyor Estimator Site Engineer Building Surveyor Health and Safety Manager Sustainability Manager General Foreman

PHP and MySQL Training Masterclass 2023 Course Overview This PHP and MySQL Training Masterclass 2023 offers a comprehensive guide to mastering dynamic web development using PHP and MySQL. Learners will explore essential programming concepts, database integration, and application building through progressive projects designed to enhance their coding capabilities. The course covers core skills such as user authentication, comment systems, ratings, and interactive applications, equipping students with the confidence to develop fully functional web solutions. By the end, participants will have the knowledge to build, customise, and manage robust web applications, boosting their employability and technical proficiency in today’s digital marketplace. Course Description This masterclass delves into key aspects of PHP programming and MySQL database management, providing learners with a structured learning experience. Starting with installation and configuration, it progresses through multiple project-based modules focusing on real-world applications such as authentication systems, comment and rating features, weather apps, and live search functionality. Each module deepens understanding of server-side scripting and database queries, enhancing problem-solving and coding fluency. Participants will gain expertise in integrating PHP scripts with MySQL databases, optimising application performance, and managing data securely. The course is designed to develop both foundational and advanced skills essential for web development careers, delivered in clear, concise UK English. PHP and MySQL Training Masterclass 2023 Curriculum Module 01: Introduction Module 02: Installation Module 03: First Project: Building an Authentication System Module 04: Second Project: Building a Comments System Module 05: Third Project: Creating a Rating System Module 06: Fourth Project: Creating a Weather App Module 07: Fifth Project: Build a Cool Like and Dislike System Module 08: Sixth Project: Building a Simple CV Builder Module 09: Seventh Project: QR Codes Generator Module 10: Eighth Project: Build a Full Live Search System (See full curriculum) Who Is This Course For? Individuals seeking to develop skills in dynamic web development. Professionals aiming to enhance their web programming career. Beginners with an interest in server-side scripting and databases. Web developers wanting to expand their expertise in PHP and MySQL. Career Path Web Developer Backend Developer PHP Developer Database Administrator Full-Stack Developer Software Engineer Digital Solutions Specialist

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

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Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 6 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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.

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.

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