769 Modeling courses in Leeds delivered Online

Duration 5 Days 30 CPD hours This course is intended for A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course will teach you to use Microsoft Power Platform solutions to simplify, automate, and empower business processes for organizations in the role of a Functional Consultant. A Microsoft Power Platform Functional Consultant is responsible for creating and configuring apps, automations, and solutions. They act as the liaison between users and the implementation team. The functional consultant promotes utilization of solutions within an organization. The functional consultant may perform discovery, engage subject matter experts and stakeholders, capture requirements, and map requirements to features. They implement components of a solution including application enhancements, custom user experiences, system integrations, data conversions, custom process automation, and simple visualizations. This course may contain a 1-day Applied Workshop. This workshop will allow you to practice your Functional Consultant skills by creating an end-to-end solution to solve a problem for a fictitious company. The solution will include a Microsoft Dataverse database, Power Apps canvas app, and Power Automate flows. Prerequisites Experience as an IT professional or student Working knowledge of Microsoft Power Platform and its key components Knowledge of Microsoft Dataverse (or general data modeling) and security concepts 1 - Describe the business value of the Microsoft Power Platform Explore Microsoft Power Platform Describe the business value of the Power Platform Explore connectors and Microsoft Dataverse Describe how Power Platform works with Microsoft 365 apps and services Explore how Power Platform works with Microsoft Teams Describe how Power Platform works with Microsoft Dynamics 365 apps Describe how Power Platform solutions consume Microsoft Azure services Explore how Microsoft Power Platform apps work together Use Artificial Intelligence to increase productivity 2 - Core components of Power Pages Get started with Power Pages Core tools and components of Power Pages Overview of Power Pages security Overview of Power Pages extensibility 3 - Explore Power Pages templates Site design templates Scenario-based templates Dynamics 365 Power Pages site templates 4 - Explore Power Pages design studio Work with pages Page components Site styling and templates 5 - Explore Power Pages design studio data and security features Data workspace in Power Pages design studio Power Pages security features 6 - Introduction to Power Pages administration Power Pages administrative tools Set up workspace in Power Pages design studio 7 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 8 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 9 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 10 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 11 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 12 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 13 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 14 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 15 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 16 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method 17 - Create tables in Dataverse Table characteristics Table relationships Dataverse logic and security Dataverse auditing Dual-write vs. virtual tables 18 - Manage tables in Dataverse Identify tables and table types in Dataverse Create a custom table Enable attachments within a table Licensing requirements for each table type 19 - Create and manage columns within a table in Dataverse Define columns in Microsoft Dataverse Column types in Microsoft Dataverse Add a column to a table Create a primary name column Restrictions that apply to columns in a table Create an auto numbering column Create an alternate key 20 - Create a relationship between tables in Dataverse Relate one or more tables - Introduction Relationship types that are available in Microsoft Dataverse Create a one-to-many relationship between tables Create a many-to-many relationship between tables Edit or delete relationships 21 - Working with choices in Dataverse Define choice column Standard choices column 22 - Get started with security roles in Dataverse Understand environment roles Adding or disabling an environment user Understand security concepts in Dataverse Understand user security roles and security role defaults Check the roles that a user belongs to Configure Dataverse teams for security Configure Dataverse group teams for security 23 - Use administration options for Dataverse Use Microsoft Power Platform Admin Center portal Tenant storage capacity Advanced Customization options in Power Apps Portal Enable and disable auditing 24 - Manage Dynamics 365 model-driven app settings and security Configure role-based security Manage teams and business units Explore settings and customizations 25 - Introduction to Microsoft Power Platform security and governance Identify Microsoft Power Platform environments Data Loss Prevention policies Microsoft Power Platform Center of Excellence Starter Kit 26 - Get started with model-driven apps in Power Apps Introducing model-driven apps Components of model-driven apps Design model-driven apps Incorporate business process flows 27 - Configure forms, charts, and dashboards in model-driven apps Forms overview Form elements Configure multiple forms Use specialized form components Configure views overview Configure grids Create and edit views Configure charts overview Dashboards overview Use interactive streams and tiles 28 - Get started with Power Apps canvas apps Power Apps building blocks Ways to build Power Apps Power Apps related technologies Additional Power Apps related technologies Designing a Power Apps app 29 - Connect to other data in a Power Apps canvas app Overview of the different data sources Work with action-based data sources Power Automate is a companion to Power Apps 30 - How to build the UI in a canvas app in Power Apps Use themes to quickly change the appearance of your app Branding a control Icons Images Personalization Using the tablet or phone form factors 31 - Manage apps in Power Apps Power Apps review 32 - Build your first app with Power Apps and Dataverse for Teams Create your first app with the hero template Customize your app with Power Apps Studio Publish your app Install template apps 33 - Access Dataverse in Power Pages websites Use lists to display multiple Dataverse records Use forms to interact with Dataverse data 34 - Authentication and user management in Power Pages Power Pages authentication settings User registration in Power Pages Authentication management for Power Pages users Power Pages authentication providers 35 - Power Pages maintenance and troubleshooting Power Pages website maintenance Power Pages website troubleshooting 36 - Define and create business rules in Dataverse Define business rules - Introduction Define the components of a business rule Create a business rule 37 - Get started with Power Automate Introducing Power Automate Troubleshoot flows 38 - Use the Admin center to manage environments and data policies in Power Automate Administer flows Export and import flows Learn how to distribute button flows 39 - Use Dataverse triggers and actions in Power Automate Dataverse triggers Query data Create, update, delete, and relate actions 40 - Extend Dataverse with Power Automate Set up a flow and configure its trigger Email Dataverse record Add to-do items Test and run your flow 41 - Introduction to expressions in Power Automate Get started with expressions Notes make things easier Types of functions Write complex expressions 42 - Build your first Power Automate for desktop flow Set up the environment Explore Power Automate for desktop Create your first Power Automate for desktop flow Record Power Automate for desktop actions Edit and test recorded actions 43 - Run a Power Automate for desktop flow in unattended mode Set up an unattended desktop flow Create a new cloud flow that calls an existing flow in unattended mode Perform a test run Best practices 44 - Optimize your business process with process advisor Get familiar with process advisor Create your first recording Edit recordings and group actions Analyze recordings and interpret results Automation recommendations 45 - Get started with Microsoft Copilot Studio bots Get started working with environments Create bots and work with the Microsoft Copilot Studio interface Create topics Test bots Publish bots and analyze performance 46 - Enhance Microsoft Copilot Studio bots Use Power Automate to add actions Transfer conversations to agents by using Omnichannel for Customer Service Create topics for existing support content Analyze bot performance 47 - Manage topics in Microsoft Copilot Studio Work with bot topics Branch a topic Create topics for existing support content Work with system fallback topics Manage topics 48 - Manage Power Virtual Agents Environments in Microsoft Copilot Studio Bot topics permissions Bot entities and flow permissions Monitor and diagnose Administer and manage Export and import bots Authentication 49 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 50 - Get data with Power BI Desktop Overview of Power BI Desktop Explore Power BI Desktop Connect to data sources Get data from Excel Transform data to include in a report Combine data from multiple sources Clean data to include in a report 51 - Model data in Power BI How to manage your data relationships Create calculated columns Optimize data models Create measures Create calculated tables Explore time-based data 52 - Use visuals in Power BI Create and customize simple visualizations Create slicers Map visualizations Matrices and tables Create scatter, waterfall, and funnel charts Modify colors in charts and visuals Page layout and formatting 53 - Explore data in Power BI Quick insights in Power BI Create and configure a dashboard Ask questions of your data with natural language Create custom Q&A suggestions Share dashboards with your organization Display visuals and tiles in full screen Edit tile details and add widgets Get more space on your dashboard 54 - Publish and share in Power BI Publish Power BI Desktop reports Print and export dashboards and reports Introducing Power BI Mobile Create workspaces in Power BI Build apps Use apps Integrate OneDrive for Business with Power BI Publish to web 55 - Manage solutions in Power Apps and Power Automate Add and remove apps, flows, and entities in a solution Edit a solution-aware app, flow, and table Build and deploy a complex solution with flows, apps, and entities Automate solution management 56 - Load/export data and create data views in Dataverse View data in a table Create or edit views of data in a table Load data into a table Export data from a table Add, update, or delete data in a table by using Excel Import data using Power Query Generate a new dataflow from an Excel Template Dataflow and Azure integration 57 - Get started with AI Builder Choose an AI capability Create your first model Ways to use your models 58 - Manage models in AI Builder Model lifecycle Manage model versions Share your models 59 - Use AI Builder in Power Automate AI Builder in Power Automate saves time Advanced usage of AI Builder in Power Automate 60 - Functional Consultant skills Create entity relationship diagrams Create and document mock-ups Document functional requirements and artifacts Complete fit-gap analysis Discuss stakeholder management responsibilities Understand industry accelerators Define Application Lifecycle Management Participate in testing Evaluate options Define connectors Understand Power Apps component framework 61 - Solution Architect series: Plan application lifecycle management for Power Platform Key considerations for ALM Solutions Configuration and reference data Release process ALM with Azure DevOps

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Professionals from other disciplines who want to transition into the data science domain. Software engineers or programmers interested in expanding their skill set to include data science. Analysts or researchers who want to enhance their data analysis and modeling capabilities. Students or graduates seeking to kick-start their careers in data science with a strong foundation. Requirements No experience required. Just enrol & start learning. Career path Data Analyst: £25,000 - £55,000 per year Data Scientist: £40,000 - £85,000 per year Machine Learning Engineer: £50,000 - £100,000 per year Data Engineer: £45,000 - £80,000 per year Business Intelligence Analyst: £35,000 - £65,000 per year Data Science Manager: £70,000 - £120,000 per year. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

Customer service is an organisation's ability to supply its customers' wants and needs. Improved customer service means constantly and consistently exceeding customers' expectations. This course is designed for service industry professionals who aim to maximise their efficiency, develop better customer skills, and increase their value. The focus is on increasing repeat business through customer satisfaction and referrals. Delegates will discover greater levels of productivity, job satisfaction, and potential for advancement. For client-facing service personnel, these areas of development will prove particularly beneficial, leading to increased internal and external customer satisfaction. Throughout the course, delegates will learn how to: Project a UB4me, customer-centred attitude Empower people with respect and control by acknowledging and offering choices Understand customers better and develop emotionally-intelligent methods for managing their fears and reactions Listen more intently to develop the best rapport Communicate clearly with conviction, projecting greater credibility Create positive, diplomatic messages even from negative situations, modelling a problem-solving, can-do attitude Create and refine phone-answering and email templates to appropriately address customer concerns and increase the potential for repeat business This Customer Service Skills course is a 4-hour interactive virtual class for up to 20 delegates. Upon registration, delegates will receive online login instructions prior to the class date. This format allows for a collaborative learning experience from the comfort of one's own home or office.

Duration 1 Days 6 CPD hours This course is intended for Certification Preparation for Platform App Builder is ideal for administrators, system integrators, and independent software vendors (ISVs) with an interest in sharpening the development, deployment, and administrative skills required to succeed in becoming a Salesforce Certified Platform App Builder Overview Architect and manage the correct data model based on business requirements. Configure application security. Define business logic and process automation declaratively. Design user interfaces. Customize applications for mobile use and Lightning. Deploy applications. Are you ready to take the next step in your career by becoming a Salesforce Certified Platform App Builder? By covering the details around the exam objectives, this course will help hone your knowledge of Salesforce application lifecycle management and the declarative and programmatic solutions available to you through guided scenarios, lecture, and discussion. Salesforce Fundamentals Capabilities of core CRM objects Boundaries of declarative customizations Use cases for programmatic customizations Security Restricting and extending object, record, and field access Determining appropriate sharing solutions Data Modeling and Management Determining an appropriate data model Relationship types and impact on record access, user interface, and reporting Considerations for changing field types Considerations of the schema builder Considerations for importing and exporting data Use cases of external objects Reporting Creating reports Report types Dashboards User Interface Customization options Custom buttons, links, and actions Declarative options for incorporating Lightning Components Mobile Declarative customizations available for the Salesforce1 user interface Business Logic and Process Automation Record types Formula fields Roll-up summary fields Validation rules Approval processes Workflow Visual workflow Process builder Automating business processes Ramifications of field updates and potential for recursion App Deployment Application lifecycle Sandboxes Change sets Unmanaged and managed packages Determining an appropriate deployment plan Wrapping Up Test preparation Practice exam

Getting Started The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects.The main aim of the OTHM Level 7 Diploma in Data Science is to enhance the knowledge and skills required to extract business-oriented insights from data. This involves comprehending how value and information circulate in a business and utilising this knowledge to recognise potential business prospects. Key Benefits This qualification will bring you many vital benefits, such as; Learners can gain the essential subject knowledge needed to progress successfully into further study or the world of work. Refreshed content that is closely aligned with employer and higher education needs Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction. Become familiar with and use the tools and techniques used in data visualisation. Assessments that consider cognitive skills along with affective and applied skills Key Highlights Do you wish to be a Data Scientist? Then, The OTHM Level 7 Diploma in Data Science program offered by the School of Business and Technology London is the right solution for you. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 7 Diploma in Data Science can open many career pathways including, but not limited to: Data scientist- Est. Salary £59,680 Data Analyst- Est. Salary £42,984 Business Analyst-Est. Salary £54,413   About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Data Science Foundations Reference No : Unit 1 - F/650/5562 Credit : 20 || TQT : 200 Hours This unit introduces various data science concepts, including data administration, governance, and big data sources. UNIT2- Probability and Statistics for Data Analysis Reference No : Unit 2 - H/650/5563 Credit : 20 || TQT : 200 Hours The objective of this unit is to offer a comprehensive introduction to the fundamental principles of probability and statistics, starting from the basics. It will cover a wide spectrum of data analysis procedures and methodologies. UNIT3- Advanced Predictive Modeling Reference No : Unit 3 - J/650/5564 Credit : 20 || TQT : 200 Hours You will become acquainted with key predictive modelling methods and their underlying foundational principles in this unit. UNIT4- Data Analysis and Visualisation Reference No : Unit 4 - K/650/5565 Credit : 20 || TQT : 200 Hours This unit serves as a crucial foundation for grasping the core concepts of the data analysis process, encompassing data collection, data cleansing, data analysis, and the effective communication of insights through visualisations and dashboard tools. UNIT5- Data Mining Machine Learning and Artificial Intelligence Reference No : Unit 5 - J/650/5573 Credit : 20 || TQT : 200 Hours The primary aim of this unit is to provide an introduction to the scientific principles underpinning machine intelligence and to explore the philosophical discourse surrounding the endeavour to simulate human intelligence for addressing real-world challenges. UNIT6- Advanced Computing Research Methods Reference No : Unit 6 - L/650/5566 Credit : 20 || TQT : 200 Hours This unit aims to enhance learners' skills in preparing for diverse forms of academic computing research by guiding them through creating and designing a research proposal. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

🚀 Unlock Your Design Potential with 'Complete Solidworks Training: Beginner to Advanced' 🚀   Are you ready to transform your engineering and design skills? Dive into the world of 3D modeling and product design with our comprehensive online course - 'Complete Solidworks Training: Beginner to Advanced.' Whether you're just starting or looking to master advanced techniques, this course is your gateway to becoming a Solidworks pro.   Here's a sneak peek into what each module has in store for you: 🔍 Module 1: Slides Get familiar with the Solidworks interface and set the stage for your learning journey. 🌐 Module 2: Introduction Understand the core concepts of Solidworks and how it revolutionizes the design process. 📏 Module 3: Sketch Tools Master the art of sketching in Solidworks to lay the foundation for your 3D models. 🔩 Module 4: Random Part 2 Dive into creating random parts and elevate your design skills. 🔄 Module 5: Random Screw Learn the intricacies of designing screws and fasteners for practical applications. 📐 Module 6: Flange Explore the Flange tool to create sheet metal components with precision. 🛠️ Module 7: Assembly Interface Grasp the essentials of assembling parts seamlessly, a crucial skill for any designer. ️ Module 8: Crank Mechanism Delve into the complexities of designing a crank mechanism, enhancing your engineering prowess. 🍾 Module 9: Soda Bottle Bring your creativity to life by designing a realistic soda bottle using Solidworks. 🥤 Module 10: Soda Can Extend your beverage packaging design skills with a detailed study on soda can creation. 🔩 Module 11: Bearing Parts 1,2,3 Unravel the intricacies of bearing design, from individual parts to the complete assembly. 🔧 Module 12: Jet Engine Parts, Casing, and Assembly Take your skills to new heights by designing jet engine components and mastering assembly techniques. 🚀 Module 13: Rocket, Rocket Assembly Conclude your journey with a blast! Design a rocket and assemble it, showcasing your newfound Solidworks expertise.   ✨ Why Choose Our Course?   Comprehensive Curriculum: Covering everything from basics to advanced assemblies, ensuring no aspect is left untouched. Hands-On Projects: Apply your knowledge with real-world projects, making the learning experience practical and engaging. Expert Instruction: Learn from seasoned professionals with years of experience in Solidworks and product design. Lifetime Access: Access the course content anytime, anywhere, and revisit the material as needed.   Ready to embark on your Solidworks adventure? Enroll now and revolutionize your design capabilities! 🚀🎓 Course Curriculum Lecture 01 Draft Lesson 00:00 Lecture 02 Introduction 00:00 Lecture 03 Sketch Tools 00:00 Lecture 04 Random Part 2 00:00 Lecture 05 Random Screw (2) 00:00 Lecture 06 Flange 00:00 Lecture 07 Assembly Interface 00:00 Lecture 08 Crank Mechanism 00:00 Lecture 09 Soda Bottle 00:00 Lecture 10 Soda Can 00:00 Lecture 11 Bearing Parts 1 00:00 Bearing Parts 2 00:00 Bearing Assembly 00:00 Lecture 12 Jet Endgine Parts 1 00:00 Jet Engine Casing and Assembly 00:00 Lecture 13 Rocket 00:00 Rocket Assembly 00:00

24-Hour Flash Sale! Prices Reduced Like Never Before!! Advanced Diploma in CNC (Computer Numerical Control) Programming for Machining Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Precision and efficiency dictate manufacturing excellence, and CNC (Computer Numerical Control) Programming has emerged as the backbone of modern machining operations. With the UK's manufacturing sector contributing £200 billion to the economy in recent times, the demand for skilled CNC programmers is on the rise. The "Advanced Diploma in CNC Programming for Machining" bundle offers a unique convergence of technical training, aiming to equip professionals with the skills required to thrive in this advanced field. This course bundle surpasses traditional CNC programming education, introducing learners to a comprehensive array of related disciplines including 3D Printing, AutoCAD and Electronic Device Protection. It talks about the core of Mechanical Engineering, Rotating Machines, and HVAC Fundamentals, supplemented by specialised courses in Electrical Machines, Power Electronics, and Engine Lubricant Systems. Robotics, and Embedded Systems courses provide a foray into automation and control. Courses Are Included in this Bundle: Course 01: Advanced Diploma in CNC (Computer Numerical Control) Programming for Machining Course 02: 3D Modelling for 3D Printing Course 03: CAD Design Training Course 04: AutoCAD VBA Programming - Beginner course Course 05: AutoCAD Programming using with Windows Forms Course 06: LEED V4 - Building Design and Construction Course 07: Read Construction & Structural Drawing Like Expert Course 08: Mechanical Engineering Course 09: Rotating Machines Course 10: Electronic Device and Circuits Protection Training Course 11: Autocad Electrical Design Course 12: HVAC Basics and Load Calculation Masterclass Course 13: Electrical Machines for Electrical Engineering Course 14: MATLAB Simulink for Electrical Power Engineering Course 15: PAT Training (Updated 2022) Course 16: Electrical Engineering DC Circuit Analysis Course 17: Power Electronics for Electrical Engineering Course 18: Electric Circuits for Electrical Engineering Course 19: Engine Lubricant System Training - Level 4 Course 20: Robotics - Sensors Course 21: Microcontroller Simulation Course 22: Embedded Systems with 8051 Microcontroller Course 23: Power Tools and How to Use Them Course 24: Supercharger Automobile Engineering Course 25: Data Center Training Essentials: Mechanical & Cooling Course 26: JavaScript Foundations Course 27: jQuery Masterclass Course: JavaScript and AJAX Coding Bible Course 28: Basic HTML 5 Course 29: CSS Fundamentals Course 30: HTML and CSS Coding: Beginner to Advanced The "Advanced Diploma in CNC Programming for Machining" is more than a course; it's a catalyst for those aspiring to lead in the fast-paced world of manufacturing and engineering. By integrating technical prowess with programming and design skills, graduates are well-prepared to tackle the challenges of the manufacturing and engineering sectors. So enrol now and get ready to contribute to the evolving landscape of global manufacturing! Learning Outcomes: Master CNC programming for advanced machining operations. Design and model 3D parts for manufacturing and 3D printing. Apply CAD design principles and AutoCAD programming in real-world projects. Understand electronic circuits and mechanical engineering fundamentals. Program microcontrollers and develop embedded systems for automation. Utilise web development skills for manufacturing and engineering applications. Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Course Curriculum Course 01: Advanced Diploma in CNC (Computer Numerical Control) Programming for Machining Module 1: Scope of the Course Module 2: Numerical Control of Machine Tools Module 3: CNC- Computer Numerical Control Syst Module 4: Components of CNCs Module 5: Point to Point CNC Machines Module 6: Incremental & Absolute CNC Machines Module 7: Open & Close Control Loop CNC Machines Module 8: 2 &3 Axes CNC Machines Module 9: Importance of Higher Axes Machining Module 10: Programming Format Module 11: Cartesian Coordinate System Module 12: How to Write a Program Module 13: Basic CNC Programming (Absolute Mode) Module 14: Basic CNC Programming (Incremental) Module 15: A Simple Coding Exercise Module 16: Applications of CNC Course 02: 3D Modelling for 3D Printing Module 01: Introduction to Modeling for 3D Printing Module 02: Introduction to Maya Module 03: Blocking In the Head and Torso Module 04: Creating the Arm Module 05: Creating Details on the Arm Module 06: Creating the Legs Module 07: Creating the Foot Module 08: Creating the Hand Module 09: Preparing the Model for 3D Print Module 10: STL Cleanup and Check Module 11: Final Thoughts Course 03: CAD Design Training 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 =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The Title Course: Previously it was £29.99) CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Manufacturing engineers CNC machinists Mechanical engineers Electrical engineers Programmers Career switchers Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. CNC Programmer - £25,000 to £40,000 Mechanical Engineer - £30,000 to £50,000 Electrical Engineer - £28,000 to £45,000 Robotics Technician - £27,000 to £40,000 CAD Designer - £25,000 to £35,000 Web Developer (Manufacturing Sector) - £24,000 to £35,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that international students have to pay an additional £10 as a shipment fee.