1227 Model courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This class is designed for individuals who are (or will soon be) supporting a Salesforce implementation in a decision-making capacity. This includes, but is not limited to, business analysts, IT managers, project managers, executive leaders, and executive sponsors. This class is not recommended for individuals tasked with solution-building. Overview When you complete this course, you will be able to: Identify key stakeholders needed for a successful Salesforce implementation. Describe the Salesforce data model as it relates to Customer 360, Salesforce Clouds, and the Salesforce Platform. Communicate the appropriate security measures needed to control org and data access. Discuss which standard or custom objects and applications should be implemented based on specific requirements and use cases. Effectively strategize how to migrate data into your Salesforce org while maintaining high data quality. Understand Salesforce automation tools and how they solve for various business challenges. Analyze Salesforce data with Reports and Dashboards. Navigate the key phases and milestones of a Salesforce implementation. Explore Salesforce features and functionality and gain the knowledge to make Salesforce implementation decisions with confidence. In this 3-day, heavily discussion-based class, learn about standard and custom objects and applications, data management, data visualization, flow automation tools, security mechanisms, and more. Successfully navigate the key phases and milestones of a Salesforce implementation, effectively communicate business needs, and provide directives to team members tasked with solution-building to deliver a robust Salesforce solution that achieves business goals. Salesforce Data Model Discover the Customer 360 Platform Examine Salesforce Clouds Navigate the Salesforce Platform Review the Salesforce Platform Data Model Understand Data Visualization Security & Access Create Users Access the Org Control Data Objects & Applications Review Standard Objects Understand Custom Objects Explore Standard Applications Discover Custom Applications Salesforce Customizations Work with Fields Design Page Layouts Understand Record Types Review Dynamic Capabilities Successful Data Management Determine Data Strategy Create Data Ensure Data Quality Process Automation Streamline Business Processes Using Automation Tools Learn Purpose-Driven Automation Automate With Flow Data Analysis Using Reports & Dashboards Organize Reports and Dashboards Build Reports Create Dashboards Create an Analytics Strategy Adoption & Continued Improvement Adopt Your Implementation Evaluate Continued Improvements Additional course details: Nexus Humans Understand and Drive Your Salesforce Implementation ( BSX101 ) 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 Understand and Drive Your Salesforce Implementation ( BSX101 ) 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 Learn Vectorworks 2d | 3d and Spotlight training Course? Course info Led by experts, this comprehensive program equips you with skills in 2D drafting, immersive 3D modeling, and dynamic lighting design. Master Vectorworks' powerful features, including the Spotlight module tailored for entertainment and events. Duration: 16 hrs Method: 1-on-1, Personalized attention. Schedule: Tailor your own hours, available from Mon to Sat between 9 am and 7 pm. Or Call 02077202581 or WhatsApp 07970325184. Course Details: Format: 1-on-1 Training Schedule: Flexible, Any Day, Anytime (Monday to Saturday), 9 AM to 7 PM Duration: Customizable to Individual Learning Pace Content: Comprehensive training in Vectorworks, focusing on 2D Drafting, Immersive 3D Modeling, and Dynamic Lighting Design. Specialization: Spotlight Module for Entertainment and Events Instructors: Expert-led sessions ensuring personalized attention and effective learning. Outcome: Mastery of Vectorworks' Powerful Features, Proficiency in 2D and 3D Design, and Expertise in Dynamic Lighting Design for Entertainment Purposes. Note: Schedule and course duration are flexible to accommodate individual preferences and learning needs. Course Details: Format: 1-on-1 Training Schedule: Flexible, Any Day, Anytime (Monday to Saturday), 9 AM to 7 PM Duration: Customizable to Individual Learning Pace Content: Comprehensive training in Vectorworks, focusing on 2D Drafting, Immersive 3D Modeling, and Dynamic Lighting Design. Specialization: Spotlight Module for Entertainment and Events Instructors: Expert-led sessions ensuring personalized attention and effective learning. Outcome: Mastery of Vectorworks' Powerful Features, Proficiency in 2D and 3D Design, and Expertise in Dynamic Lighting Design for Entertainment Purposes. Note: Schedule and course duration are flexible to accommodate individual preferences and learning needs. Vectorworks 2D | 3D and Spotlight Training Course Course Duration: 16 hours Course Description: I. Introduction to Vectorworks (1 hour) Overview of Vectorworks software and its applications Familiarization with the user interface and navigation Customizing preferences and settings for optimal workflow II. 2D Drawing Tools (2 hours) Using basic drawing tools for creating lines, rectangles, circles, and polygons Utilizing text and dimension tools for annotations Applying modify tools for editing and transforming objects Organizing elements with layers and classes III. 3D Modeling Tools (3 hours) Introduction to extrude, revolve, sweep, and loft tools for 3D modeling Creating 3D objects from 2D shapes for spatial representation Modifying and refining 3D models Exploring the 3D modeling environment IV. Advanced 3D Modeling Tools (2 hours) Utilizing solid modeling tools for complex geometry creation Performing Boolean operations to combine or subtract shapes Creating and utilizing symbols for efficient workflow V. Introduction to Spotlight (1 hour) Overview of the Spotlight workspace and its features Adding and configuring lighting devices for stage and event design Creating and modifying lighting positions for accurate placement VI. Spotlight Tools and Techniques (3 hours) Creating and editing lighting instruments for customized setups Using visualization tools for lighting simulations Creating and applying labels and legends for documentation Generating worksheets and reports for lighting analysis VII. Advanced Spotlight Techniques (2 hours) Utilizing video and projection tools for multimedia presentations Incorporating audio and sound systems for immersive experiences Understanding rigging and hoisting for stage setup Managing paperwork and documentation for effective planning VIII. Integration with Other Software (1 hour) Importing and exporting files to collaborate with other software Utilizing Vectorworks in CAD and BIM workflows for interoperability Exploring plugins and add-ons for expanded functionality IX. Project-based Exercises (1 hour) Applying learned techniques to real-world scenarios Creating a lighting plan for a concert or theater production Designing a 3D model of a building or interior space Free 30-day, BIM & CAD Software Trial Request | Vectorworks https://www.vectorworks.net/trial Vectorworks Trial Version Request. Please fill out the following form. We will provide you with an evaluation serial number to activate your trial copy. Learning Outcomes of Vectorworks 2D | 3D and Spotlight Training Course: Master Vectorworks with 2D and 3D design skills. Create precise 2D drawings and detailed 3D models. Learn specialized tools for lighting and event planning in Spotlight. Optimize workflows and improve project coordination. Produce realistic renderings and visualizations. Apply skills to real-world projects in architecture and events.

Why AutoCAD Night Training Course? This Autodesk AutoCAD 2D Evening Course, 10 hours, is perfect for beginners aiming to create 2D plans, elevations, sections. It covers all tools in AutoCAD 2D, making it valuable for both newcomers and those aspiring to enhance their skills. Click here for more info: Website When: Personalized 1-on-1 sessions. Available from Mon to Sat 9 am to 7 pm. Book over the phone, call 02077202581 Duration: 10 hours (Split 10 hrs over as many as days you want) Method: In-person or live online training Course Content: Foundational Shape Construction Manipulating Lines, Arcs, and Polylines Optimizing Object Alignment with Grip Tools Data Management and Backup Protocols File Format Exploration and Understanding Disaster Recovery Strategies Advanced Object Creation Techniques Precision Measurement Unit Handling Dynamic Input Methods Utilizing Inquiry Commands and Measurement Tools Effective Object Visualization and Navigation Zoom, Pan, and Object Manipulation Swift Object Management Strategies Object Transformation and Alteration Techniques Functions for Trimming, Extending, and Offsetting Objects Creating Various Geometric Shapes Object Editing, Joining, and Filleting Stretching and Organizing Objects Layer Management and Customization Configuring Object Properties and Linetypes Designing Layouts and Efficient Page Configurations Scaling Drawing Views and Adding Annotations Text Creation, Styling, and Editing Dimensioning Principles and Customization Implementing Multileaders for Annotations Object Hatching and Editing Techniques Managing Reusable Content: Blocks and Symbols Utilizing Tool Palettes and Working with Groups Understanding Model Space and Paper Space Creating Layouts and Viewports Scaling Viewports and Plotting/PDF Output Managing Multiple Sheet Drawings Optimizing Plotstyles for Printing Creating Custom Drawing Templates To download AutoCAD, visit Autodesk's official website. Advantages: AutoCAD stands as the industry-leading computer-aided design (CAD) software, widely adopted for creating architectural, engineering, and construction drawings. Acquire essential skills applicable across a diverse spectrum of industries. Assessment: Evaluation will occur informally during classes, which comprehensively cover specific topics, complemented by practical drawing exercises to reinforce skills and knowledge. Additionally, we offer longer, independent drawing tasks that encompass multiple acquired skills, evaluated against professional benchmarks. Requirements: Prospective participants should possess basic computer literacy and engagement in professions where CAD is utilized. English Proficiency: Applicants are expected to demonstrate proficiency in both written and spoken English. Why Opt for This Course? Our AutoCAD course is your gateway to mastering the essential skills for creating top-notch technical drawings. Designed with beginners in mind, this course is perfect for individuals who have little to no prior experience with AutoCAD. If your work or studies involve CAD drawings, gaining a solid grasp of the program is crucial for confidence and proficiency. Upon enrollment, students gain access to a free 30 days trial. While classes are conducted using AutoCAD on PC, it's worth noting that the course is compatible with AutoCAD on Mac, albeit with slight interface variations. Who Should Attend? This course caters to those eager to acquire the skills necessary for creating and interpreting drawings produced in AutoCAD. Our diverse system hails from various industries, including engineering, architecture, landscape architecture, construction, electronics, and product design. Why Opt for CAD Training? Practical Learning Experience: Immerse yourself in hands-on training. Personalized One-to-One AutoCAD Classes: Benefit from individualized attention. Expert and Knowledgeable Instructors: Learn from skilled and experienced teachers. Online Training Recordings: Access recorded AutoCAD training sessions online. Best Price Guarantee: Enjoy competitive pricing with a satisfaction guarantee. Pre and Post-Training Support: Receive lifetime free support before and after completing your training. Flexible Schedule: Choose your class timings and dates-weekdays, weekends, or evenings. Tailored Course Content: Customize the AutoCAD course to align with your specific needs. Access Anywhere: Access AutoCAD training and support from any location.

Duration 2 Days 12 CPD hours This course is intended for Anyone who works with IBM SPSS Statistics and wants to learn advanced statistical procedures to be able to better answer research questions. Overview Introduction to advanced statistical analysis Group variables: Factor Analysis and Principal Components Analysis Group similar cases: Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Predict categorical targets with Discriminant Analysis Predict categorical targets with Logistic Regression Predict categorical targets with Decision Trees Introduction to Survival Analysis Introduction to Generalized Linear Models Introduction to Linear Mixed Models This course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases. Introduction to advanced statistical analysis Taxonomy of models Overview of supervised models Overview of models to create natural groupings Group variables: Factor Analysis and Principal Components Analysis Factor Analysis basics Principal Components basics Assumptions of Factor Analysis Key issues in Factor Analysis Improve the interpretability Use Factor and component scores Group similar cases: Cluster Analysis Cluster Analysis basics Key issues in Cluster Analysis K-Means Cluster Analysis Assumptions of K-Means Cluster Analysis TwoStep Cluster Analysis Assumptions of TwoStep Cluster Analysis Predict categorical targets with Nearest Neighbor Analysis Nearest Neighbor Analysis basics Key issues in Nearest Neighbor Analysis Assess model fit Predict categorical targets with Discriminant Analysis Discriminant Analysis basics The Discriminant Analysis model Core concepts of Discriminant Analysis Classification of cases Assumptions of Discriminant Analysis Validate the solution Predict categorical targets with Logistic Regression Binary Logistic Regression basics The Binary Logistic Regression model Multinomial Logistic Regression basics Assumptions of Logistic Regression procedures Testing hypotheses Predict categorical targets with Decision Trees Decision Trees basics Validate the solution Explore CHAID Explore CRT Comparing Decision Trees methods Introduction to Survival Analysis Survival Analysis basics Kaplan-Meier Analysis Assumptions of Kaplan-Meier Analysis Cox Regression Assumptions of Cox Regression Introduction to Generalized Linear Models Generalized Linear Models basics Available distributions Available link functions Introduction to Linear Mixed Models Linear Mixed Models basics Hierachical Linear Models Modeling strategy Assumptions of Linear Mixed Models Additional course details: Nexus Humans 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 0G09A IBM Advanced Statistical Analysis Using IBM SPSS Statistics (v25) 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 2 Days 12 CPD hours This course is intended for The course is designed for individuals who want to gain in-depth knowledge and practice in the discipline of Business Analysis (Business Analysts, Requirements Engineers, Product manager, Product Owner, Chief Product Owner, Service Manager, Service Owner, Project manager, Consultants) Overview Students should be able to demonstrate knowledge and understanding and application of Business Analysis principles and techniques. Key areas are: The breath of the role of a Business Analyst The processes and techniques of strategy analysis Investigation of an organization's business systems Techniques used within stakeholder analysis and the need for analyzing perspectives Conceptual modelling and business activity models Business improvements through gap analysis The Business case within the business change lifecycle The Business Analyst role analyzes, understands and manages the requirements in a customer-supplier relationship and ensures that the right products are delivered.The course provides in-depth knowledge and practice in Business Analysis Course Introduction Let?s Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to Business Analysis Practice Exam Details Business Analysis Certification Scheme Rationale for Business Analysis The role of the BA throughout the stages of the Business change lifecycle The scope of the BA role within the context of the range of analysis activities Three areas of competencies Understanding the Strategic Context Techniques in practice: MOST Resource audit PESTLE Porter's Five Forces SWOT analysis CSF, KPI and Performance target Balanced Business Score Card Understanding the Current Situation Identification of stakeholder categories Identification of relevant investigation techniques The rationale for taking a holistic view Rich pictures, Mind Maps and Fishbone diagrams Stakeholder Analysis and Management Power/interest and level of interest Appropriate stakeholder management strategy Stakeholder perspectives and CATWOE technique Analysing and Modelling Business Activities Conceptual models of a business situation Five types of high level activity Planning activities Enabling activities Doing activities Monitoring and control activities Three types of business events The consensus business activity model Identifying Potential Solutions Different categories of business rules Gap analysis (through conceptual business activity model and as-is business situation) Components of a new business model Building the Business Case Rationale for the development of a business case Contents of a business case Identification of tangible/intangible costs and benefits, risks and impacts Rationale for the financial case and appraisal techniques Business case review in the business change lifecycle Additional course details: Nexus Humans Business Analysis - Practice 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 Business Analysis - Practice 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 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

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Who is this course for? Sketchup Artificial Intelligence Training Course. Mastering SketchUp Artificial Intelligence (AI) is essential for designers, offering automation, efficiency, and innovative solutions. It saves time, enhances visualizations, fosters collaboration, and future-proofs skills, ensuring a competitive edge in the design industry. Click here for more info: Website How to Book? 1-on-1 training. Customize your schedule from Mon to Sat from 9 am to 7 pm Call to book  Duration: 16 hours. Method: In-person or Live Online Sketchup and (Artificial Intelligence) Stable Diffusion Rendering Course (16 hours) Module 1: Sketchup Fundamentals (2 hours) Sketchup software overview and interface navigation Introduction to basic drawing tools and fundamental geometry creation techniques Module 2: Texturing and Material Mastery (2 hours) Application of textures and customization of materials Exploration of texture mapping and comprehensive material libraries Module 3: Illumination and Shadows (2 hours) Comprehending lighting principles and strategic light placement Crafting realistic shadows and reflections Module 4: Advanced Modeling Techniques (3 hours) Creating intricate shapes and harnessing advanced modeling tools Efficiently managing groups, components, and modifiers Module 5: Stable Diffusion Rendering (2 hours) Initiating stable diffusion rendering Optimizing rendering settings for superior outcomes Module 6: Scene Composition and Camera Configuration (2 hours) Exploring composition principles and camera perspectives Scene management and creation of captivating walkthrough animations Module 7: Rendering Optimization Strategies (2 hours) Techniques for optimizing models to expedite rendering Application of render passes and post-processing methods Module 8: Real-World Projects and Portfolio Building (1 hour) Application of acquired skills in completing authentic projects Professional portfolio presentation techniques Optional: Stable Diffusion and Python Installation (Additional 10 hours) Module 1: Introduction to Stable Diffusion and Python Comprehensive understanding of Stable Diffusion and Python's significance Module 2: System Prerequisites Hardware and software requirements for successful installation Module 3: Python Installation Guide Step-by-step installation process for various operating systems Module 4: Configuring Python Environment Configuration of environment variables and package managers Module 5: Stable Diffusion Installation Downloading and installing the Stable Diffusion package Module 6: Setting Up the Development Environment Configuration of integrated development environments (IDEs) for Python and Stable Diffusion Module 7: Troubleshooting and Common Issues Identification and resolution of common installation errors Module 8: Best Practices and Recommendations Effective management of Python and Stable Diffusion installations Module 9: Practical Applications and Projects Hands-on exercises exemplifying the practical usage of Stable Diffusion and Python Module 10: Advanced Topics (Optional) Exploration of advanced features and techniques Stable Diffusion https://stablediffusionweb.com https://stable-diffusion-ui.github.io https://stability.ai/stable-diffusion Upon successful completion of the Sketchup and Stable Diffusion Rendering Course with a focus on AI image rendering, participants will achieve the following: 1. Mastery of AI Image Rendering: Attain expertise in employing AI-powered rendering techniques to produce realistic and top-quality visualizations. 2. Proficiency in Sketchup for 3D Modeling: Navigate the software adeptly, utilize drawing tools with proficiency, and craft intricate 3D models. 3. Enhanced Rendering Optimization: Implement AI-based rendering to enhance model visuals, resulting in faster rendering times and superior image quality. 4. Application of AI-driven Lighting and Shadows: Employ AI algorithms for precise lighting placement, shadows, and reflections, elevating the realism of renderings. 5. Development of a Professional Portfolio: Present AI-rendered projects within a polished professional portfolio, highlighting advanced image rendering capabilities. 1. Mastering Sketchup: Attain proficiency in Sketchup, a renowned and user-friendly 3D modeling software, equipping you with the skills needed to adeptly create and manipulate 3D models. 2. Advanced Rendering Expertise: Explore stable diffusion rendering, an avant-garde technique that simplifies the creation of realistic and high-quality renderings. Broaden your rendering capabilities, producing visually stunning representations of your designs. 3. Practical Industry Applications: Cultivate practical skills relevant to diverse industries, encompassing architecture, interior design, product development, and visualization. Elevate your professional portfolio with captivating renderings that showcase your design prowess. 4. Interactive Learning: Participate in hands-on exercises and projects that promote active learning and the practical application of concepts. Benefit from personalized feedback and expert guidance, ensuring your continuous progress throughout the course. 5. Career Advancement: Elevate your career prospects by adding valuable skills to your toolkit. Proficiency in crafting detailed 3D models and impressive renderings through stable diffusion techniques opens doors to diverse job opportunities within the design and visualization sector. 6. Flexibility and Convenience: Access course materials online and learn at your own pace. Enjoy the flexibility of tailoring the coursework to your schedule, allowing you to harmonize your learning journey with other commitments. Course Advantages: Tailored Learning: Enjoy personalized 1-on-1 sessions, accommodating your schedule from Monday to Saturday, 9 am to 7 pm. Mastery of Sketchup: Develop proficiency in the widely-used and user-friendly 3D modeling software, enabling efficient creation and manipulation of 3D models. Advanced Rendering Proficiency: Acquire expertise in stable diffusion rendering for producing realistic, high-quality renderings that enhance the visual appeal of your designs. Practical Applicability: Develop practical skills applicable across diverse domains, including architecture, interior design, product development, and visualization, enriching your professional portfolio. Interactive Practical Experience: Engage in hands-on exercises with personalized guidance from seasoned instructors, ensuring consistent progress in your skillset. Career Progression: Boost your career opportunities by gaining valuable skills in 3D modeling and generating impressive renderings through stable diffusion techniques. Comprehensive Support: Benefit from free portfolio reviews, mock interviews, and career advice, providing additional resources to enhance your professional journey.

Duration 5 Days 30 CPD hours This course is intended for This course is designed primarily for network and software engineers who are interested in learning about automation and programmability and hold the following job roles: Network Designers Network Administrators Network Engineers Systems Engineers Data Center Engineers Consulting Systems Engineers Technical Solutions Architects Cisco Integrators/Partners Field Engineers Server Administrators Network Managers Storage Administrators Cisco Integrators and Partners Overview After completing the course, you should be able to: Describe Cisco ACI Fabric Infrastructure and basic Cisco ACI concepts Describe Cisco ACI policy model logical constructs Describe Cisco ACI basic packet forwarding Describe external network connectivity Describe VMM Integration Describe Layer 4 to Layer 7 integrations Explain Cisco ACI management features The Implementing Cisco Application Centric Infrastructure (DCACI) v1.2 course shows you how to deploy and manage the Cisco© Nexus© 9000 Series Switches in Cisco Application Centric Infrastructure (Cisco ACI©) mode. You will learn how to configure and manage Cisco Nexus 9000 Series Switches in ACI mode, how to connect the Cisco ACI fabric to external networks and services, and the fundamentals of Virtual Machine Manager (VMM) integration. You will gain hands-on practice implementing key capabilities such as fabric discovery, policies, connectivity, VMM integration, and more. This course earns you 40 Continuing Education (CE) credits towards recertification.This course helps prepare you for the following exam:300-620 Implementing Cisco Application Centric Infrastructure (DCACI) Introducing Cisco ACI Fabric Infrastructure and Basic Concepts What Is Cisco ACI? Cisco ACI Topology and Hardware Describing Cisco ACI Policy Model Logical Constructs Cisco ACI Logical Constructs Tenant Describing Cisco ACI Basic Packet Forwarding Endpoint Learning Basic Bridge Domain Configuration Knob Introducing External Network Connectivity Cisco ACI External Connectivity Options External Layer 2 Network Connectivity Introducing VMM Integration VMware vCenter VDS Integration Resolution Immediacy in VMM Describing Layer 4 to Layer 7 Integrations Service Appliance Insertion Without ACI L4-L7 Service Graph Service Appliance Insertion via ACI L4-L7 Service Graph Explaining Cisco ACI Management Out-of-Band Management In-Band Management