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Why Choose Complete Maya Beginner to Advanced Training? Maya's extensive toolkit includes modeling, animation, simulation, and more, amplifying your versatility and influence in the 3D production pipeline. Click here for more info: Website Beginners or those with basic 3D knowledge. No specific digital media background is required. Duration: 40 hours Training Approach: 1-on-1 Sessions. Schedule: Customize your schedule by pre-booking a convenient hour of your choice, available Monday to Saturday between 9 am and 7 pm Course Structure: I. Introduction to Maya (3 hours) Maya Overview and Applications Interface Navigation and Basic Tools Project Creation and Management II. Basic Polygon Modeling (6 hours) Fundamentals of Polygon Modeling Creating and Editing Basic Shapes Advanced Techniques: Extrusions, Bevels, and NURBS for Organic Shapes III. Intermediate Modeling (6 hours) Advanced Polygon Modeling: Booleans, Deformers, and Surfaces Architectural Model Creation Sculpting Tools for Organic Shapes IV. Texturing and Materials (6 hours) Introduction to Texturing and Material Application Texture Mapping, UV Unwrapping, and Shaders Painting Textures with 3D Paint Tool V. Lighting and Rendering (6 hours) Basic and Advanced Lighting Techniques Realistic Lighting Environments Camera Setup, Composition, and Rendering VI. Animation (9 hours) Keyframe Animation and Animation Curves Character Rigging and Animation Complex Character Rigs, Lip Sync, Facial Animation, Dynamics, and Simulations VII. Rigging (4 hours) Skeleton Creation and Joint Binding Weight Maps and Simple to Complex Rigging Systems VIII. Special Effects (4 hours) Particle Systems, Fluid Dynamics, Fire, and Explosions Advanced Simulations with nCloth and nParticles Paint Effects and Mash Networks IX. Advanced Rendering Techniques (2 hours) Render Layers, Passes, and Global Illumination Mental Ray Rendering and Settings X. Conclusion and Next Steps (1 hour) Course Review, Tips for Further Learning Q&A Session and Feedback Please note that the course outline is flexible and can be tailored based on the learners' needs and proficiency levels. Autodesk Maya Basics to Advanced Level Course: Modeling: Surfaces, Control Vertex, Polygons, Extrusion Techniques, Subdiv Modeling, and More Deformations: Twist, Lattice, Flare, Bend Tools Shapes: Lines, Pen Tools, Surface Manipulation Techniques Animations: Keyframe Setup, Path Animations, Skeletons, IK Handles, Skinning Dynamics and Special Effects: Particle Systems, Fluid Dynamics, Lighting Effects, and Advanced Simulations Texturing and Rendering: Diffuse and Bump Mapping, Reflections, Shaders, Lights, and Camera Techniques Fluid Effects and Ncloth: 2D and 3D Containers, Collision Effects, Wind Simulations, and Gravity Control Rendering: Image and Animation Rendering, Playblast, Resolution Controls, and Output Formats. Advanced Modeling: Master intricate 3D models, including polygon, NURBS, and architectural modeling. Expert Texturing: Create realistic textures, apply shaders, and utilize the 3D paint tool. Complex Animation: Rig characters, perform lip sync, facial animation, and dynamic simulations. Special Effects Mastery: Understand particle systems, fluid dynamics, fire effects, and advanced simulations. Rendering Expertise: Grasp advanced rendering techniques, including layers, passes, and global illumination. Comprehensive Rigging: Develop joints, skeletons, and advanced rigging systems for characters and objects. Fluid Dynamics Proficiency: Manipulate 2D/3D fluid containers, create collision effects, and work with wind/gravity simulations. Advanced Lighting and Camera: Perfect lighting, shadows, and special effects. Master camera setups for diverse visual compositions. Recommended Books: "Introducing Autodesk Maya 2023" by Dariush Derakhshani and Randi L. Derakhshani "Mastering Autodesk Maya 2023" by Todd Palamar "Maya Character Creation: Modeling and Animation Controls" by Chris Maraffi "Maya Secrets of the Pros" by John Kundert-Gibbs and Dariush Derakhshani "The Art of 3D Computer Animation and Effects" by Isaac Victor Kerlow Advanced Maya Training Tailored to You: Elevate your Maya skills with specialized training covering essential areas like modeling, UV mapping, texturing, lighting, camera movement, and rigging. Your learning experience is personalized to match your unique requirements and preferences. Discuss your goals with our trainer, and we'll create a syllabus tailored just for you. Flexible Training Choices: Select between in-person sessions at our UK center or attend live online classes, offering convenience and accessibility. Certified Instructors: Benefit from expert guidance provided by Autodesk Authorized Trainers from London Design Training Course. Hands-On Learning: Our practical approach combines theory with step-by-step demonstrations, allowing ample time for hands-on practice on your computer with Maya. You'll retain all the files you create. Compatibility Across Platforms: Maya training caters to both Windows and Mac users, ensuring compatibility with various versions of Maya. Comprehensive Training Package: Participants receive an e-certificate upon successful completion, validating their Maya training. Lifetime Support: Enjoy a lifetime of email support post-training, ensuring assistance with any queries or challenges that arise. Tailored to Your Version: Training can be adapted to your preferred Maya version, ensuring you learn using the most relevant and up-to-date software features. Download Maya  https://www.autodesk.co.uk  Highly skilled mentors with practical experience. Cutting-edge facilities ensuring an immersive learning environment. Comprehensive courses spanning diverse design disciplines. Practical projects to enhance your portfolio. Networking avenues within the dynamic design community. Skills attuned to current industry trends. Opportunities for professional growth. Choose from flexible in-person or online classes. Internationally recognized training credentials. Engage in London's thriving art and design scene.

MASTERCLASS ONE-2-ONE 8 CPD POINTS 1 DAY INTENSIVE COURSE  ONLINE or IN-CLINIC NOTE! After booking we will contact you for scheduling the exact course date! Courses dates are subject to change due to mentors availability. We will inform you via email if a date becomes available! PDO Threads course Our one-day Harley Elite Academy PDO cog thread lift ( Elite Mini Face Lift )training course is providing for Doctors ,Nurses , Dentist looking to further to present non-surgical facelift. It s the newest trend made popular by some of celebrities recently and it is an amazing and effective latest technique to mehanical lift and tighten skin. We provide second option using mono and screw it has the potential to redefine facial contours and induces collagen production. This type threads support structure for the tissue of the face by encouraging natural collagen synthesis with 30 % immediately results that peak at 6 months and more. During the training learn how to safely achieve mid and lower face lift and tight , we aim to help you master class techniquesre-volumisation and lifting using one of the highest quality products on the market PCL Threads.   Thread Lift Masterclass Course You will perform this procedure on live models under the supervision You will practice using This master training will teach you how to introduce threads in Body areas including: Inner Thigh | Inner Arm | Knee | Tummy | Buttock Using threads: screw, mono and cogs. During Dermal Filler Masterclass, you will learn the full Anatomy of the face and gain practice.Anatomy, Vascular Supply of the face, Nerves Contraindications Complications Management Post treatment advice Additional information ATTENDANCE ONLINE (theory), IN-CLINIC (Practice) PDO THREADS LIFT AREA BEGINNER Face and Neck Threads Lift, ADVANCED Body Threads Lift, MASTERCLASS Face, Neck, Body Threads Lift, MASTERCLASS Foxy Eyes | Cat Eyes

  The CIPT is the first and only certification of its kind worldwide. It was launched by the IAPP in 2014 and updated in early 2023 to meet the growing need that only tech pros can fill-securing data privacy at all stages of IT product and service lifecycles.  Whether you work in the public or private sector, data privacy skills are quickly becoming a must-have-and that's a great opportunity for you.  The CIPT certification also holds accreditation under ISO 17024: 2012 About This Course   What will you learn?   Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to pre-empt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal.   This course has two programmatic modules, the first four areas focus on the fundamentals of data protection. The second module takes the fundamentals and puts it into practice.   MODULE 1: Fundamentals of Information Privacy   Unit 1: Common Principles and Approaches to Privacy This unit includes a brief discussion of the modern history of privacy, an introduction to types of information, an overview of information risk management and a summary of modern privacy principles.   Unit 2: Jurisdiction and Industries This unit introduces the major privacy models employed around the globe and provides an overview of privacy and data protection regulation by jurisdictions and industry sectors.   Unit 3: Information Security: Safeguarding Personal Information This unit presents introductions to information security, including definitions, elements, standards and threats/vulnerabilities, as well as introductions to information security management and governance, including frameworks, controls, cryptography and identity and access management (IAM).   Unit 4: Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies This unit examines the web as a platform, as well as privacy considerations for sensitive online information, including policies and notices, access, security, authentication and data collection. Additional topics include children's online privacy, email, searches, online marketing and advertising, social media, online assurance, cloud computing and mobile devices.    MODULE 2: Privacy in Technology   Unit 1: Understanding the Need for Privacy in the IT Environment This unit highlights the impact that regulatory activities, security threats, advances in technology and the increasing proliferation of social networks have on IT departments.   Unit 2: Core Privacy Concepts This unit reveals how privacy compliance becomes more attainable through developing information lifecycle plans, data identification and classification systems and data flow diagrams.   Unit 3: Regulations and Standards Impacting Privacy in IT This unit introduces privacy laws, regulations and standards that can help IT professionals design better privacy programmes and systems to handle personal information throughout the data lifecycle.   Unit 4: Privacy in Systems and Applications This unit develops an understanding of the risks inherent in the IT environment and how to address them.   Unit 5: Online Privacy Issues This unit presents information about online threats, threat prevention and the role of IT professionals in ensuring proper handling of user data.   Unit 6: De-identifying and Anonymizing Personally Identifiable Information This unit reveals the importance of personally identifiable information and methods for ensuring its protection.   Unit 7: Cloud Computing This unit evaluates privacy and security concerns associated with cloud services, and standards that exist to advise on their use. Prerequisites   There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP site. What's Included?   1 years membership of the IAPP  Refreshments & Lunch (Classroom courses only) Participant Guide Official Study Guides Official Practice Exam Official Q&A The Exam Fees Who Should Attend?   The CIPT credential shows you've got the knowledge to build your organisation's data protection structures from the ground up. With regulators worldwide calling for tech professionals to factor data protection into their products and services, the job market for privacy-trained IT pros has never been stronger. As a result, the CIPT is targeted towards; Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialists Accreditation Our Guarantee   We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.

Why Choose Mastering Maya Basics to Intermediate Course? Click here for more info: Website Our courses cater to graphic designers, animators, and beginners, providing industry-standard animation skills. Dive into 3D animation, modeling, simulation, and rendering for film, TV, games, and ads. Duration: 20 hours Approach: 1-on-1 Sessions. Schedule: Design your own schedule by pre-booking a convenient hour of your choice, available Mon to Sat between 9 am and 7 pm. I. Introduction to Maya (1.5 hours) Understanding Maya and its Applications Navigating the Maya Interface and Basic Tools Creating and Managing Projects II. 3D Modeling (3 hours) Basics of Polygon Modeling Creating Simple and Complex 3D Shapes Organic Shape Creation using NURBS Advanced Techniques: Extrusions, Bevels, and Editable Objects III. Texturing and Materials (1.5 hours) Introduction to Texturing and Material Creation UV Unwrapping and Texture Mapping Importing and Applying Textures and Images IV. Lighting and Rendering (2 hours) Fundamental Lighting Techniques Camera Setup and Composition Rendering Images and Animations Output Options and File Formats V. Animation (4 hours) Keyframe Animation and Animation Curves Rigging and Animating Characters Motion Paths and Animation Layers Editing Animation Clips VI. Rigging (2 hours) Introduction to Rigging and Skeletons Binding Skin and Weight Maps Creating Rigging Systems for Characters VII. Special Effects (1.5 hours) Particle Systems and Dynamics Creating Fluids, Fire, and Other Effects Special Effects Editing: Explosions, Smoke, and more VIII. Advanced Modeling Techniques (1.5 hours) Complex Objects using Booleans and Deformers Modifying Curves and Surfaces Organic Shape Creation with Sculpting Tools IX. Conclusion and Next Steps (0.5 hours) Course Review Further Learning Tips and Resources Q&A and Feedback Please note: The course content and duration are flexible, tailored to match learners' needs and skill levels. Throughout the course, lifetime email support ensures you receive guidance with any challenges you face. Embark on your Autodesk Maya journey, exploring 3D modeling and animation with confidence. Additional Topics Covered: Modeling: Surfaces, Control Vertex, Polygons, Extrusion, Vertices, Edges, Bridge Tool, Combining, Smooth, Mirror Geometry, Merging Vertices, Subdivision Modeling. Deformations: Twist, Lattice, Flare, Bend. Shapes: Lines, Pen Tools. Animations: Basic Keyframes, Vertex Animation, Clusters, Path Animations, Skeletons, Bones, IK Handle Tool, Skinning. Dynamics: Fire, Lighting, Soft and Rigid Bodies, Particles, Collisions, Gravity. Fur and Paint Effects: Fur Basics, Fur Color Corrections, Paint Effects, Paint Modifier, Brush Animations. Texturing: Diffuse and Bump Maps, Reflections, Transparency, Shaders, Toon Shaders, Glow Textures. Lighting: Basic and Advanced Lights, Shadows, Special Light Effects. Camera: Free and Aim Cameras, Camera Effects, Path Animations. Fluid Effects and Ncloth: 2D and 3D Containers, Collision Effects, Gravity, Wind Effects. Rendering: Images and Animations, Render Techniques, Resolution Settings, Batch Rendering. Download Maya Maya Proficiency: Master Maya's interface, tools, and functions, advancing from basic to intermediate levels. 3D Modeling Expertise: Create diverse 3D models using polygonal and NURBS techniques, from simple shapes to intricate designs. Texturing and Rendering Skills: Apply textures, create materials, and utilize advanced rendering techniques for high-quality visuals. Animation Techniques: Understand keyframe animation, rigging, and character animation, producing engaging animations and special effects. Special Effects and Dynamics: Explore particle systems, fluid dynamics, and advanced visual effects, enhancing realism in animations. Advanced Modeling and Sculpting: Master complex modeling techniques, including Booleans, deformers, and organic shape creation through sculpting tools. Professional Portfolio: Develop a diverse portfolio showcasing 3D modeling and animation skills, ready for presentation to employers or clients. Problem-Solving Skills: Learn creative approaches to solve complex 3D challenges effectively. Collaborative Abilities: Understand team dynamics and collaboration within the 3D production pipeline. Recommended Books: "Introducing Autodesk Maya 202X" by Dariush Derakhshani and Randi L. Derakhshani: Comprehensive beginner's guide to Maya's essential tools and techniques. "Mastering Autodesk Maya 20XX" by Todd Palamar: In-depth intermediate guide covering advanced features, modeling, animation, and rendering. "Maya Character Creation: Modeling and Animation Controls" by Chris Maraffi: Focuses on character creation, covering modeling, rigging, and animation. "Maya Secrets of the Pros" by Todd Palamar: Expert tips and techniques from professional Maya artists, detailing advanced workflows and best practices. "Stop Staring: Facial Modeling and Animation Done Right" by Jason Osipa: Specialized book on facial modeling and animation, perfect for character expression enthusiasts. "The Art of 3D Computer Animation and Effects" by Isaac Kerlow: Offers foundational knowledge in 3D computer animation principles, applicable to various software, including Maya. Mastering Maya Basics to Intermediate Course Benefits: Comprehensive Skill Development: Master essential tools and techniques, from basics to intermediate, with hands-on projects mirroring real industry scenarios. Industry-Grade Proficiency: Acquire expertise in Autodesk Maya, enhancing credibility in animation, visual effects, and gaming industries. Creative Exploration: Unlock creative potential through advanced shading, lighting, dynamics, and simulations, enabling imaginative project realization. Portfolio Enhancement: Build a strong portfolio showcasing skills in 3D modeling, animation, and rendering for career advancement. Individualized Support: Receive personalized guidance and feedback, ensuring tailored learning experiences and skill refinement. Potential Jobs After Course: 3D Animator: Create lifelike character animations for films, games, and advertisements. 3D Modeler: Design detailed 3D characters, environments, and objects for various applications. Visual Effects Artist: Produce stunning visual effects for movies, TV shows, and commercials. Texture/Lighting Artist: Develop intricate textures and set the mood with expert lighting. Rigging Specialist: Rig characters and objects for realistic movement in animations. Rendering Specialist: Optimize rendering capabilities for high-quality images and animations. Game Developer: Contribute to interactive game development using Maya's features. Freelance Artist/Animator: Work independently on diverse projects, collaborating with studios and agencies. Skill Advancement: Progressive Mastery: Develop from basics to intermediate levels in Autodesk Maya, honing essential tools for stunning 3D visuals and animations. Hands-On Learning: Interactive Practice: Engage in practical projects, refining your skills in 3D modeling, advanced materials, character animation, and high-quality renders. Industry-Ready Proficiency: In-Demand Skills: Acquire proficiency in Autodesk Maya, a key software in animation and gaming, enhancing your employability. Creative Exploration: Unlock Creativity: Experiment with advanced shading, lighting, and dynamic animations, unleashing your creative potential in Maya. Flexible Support: Tailored Learning: Access recorded lessons for review, deepening your understanding, with lifetime email support for continuous guidance.

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

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - 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 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - 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 30 - 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 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

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

Why Learn Autodesk Maya Basics to Advanced Level Course? Course info. Autodesk Maya is one of the best tools for 3D animation and visual effects. Learn Maya with our training courses covering sectors like Architecture, Games & Films, Animation, and Media. London Design Training Courses empower you to master Maya, transforming your 3d skills.  Duration: 40 hrs Method: 1-on-1. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat 9 am and 7 pm. Experience advanced-level Maya training covering essential aspects such as modeling, UV mapping, texturing, lighting, camera movement, and rigging. The course is tailored to your specific requirements and work preferences. You can discuss your learning goals with our trainer, and we will suggest a syllabus that meets your needs. Flexible Training Options: Choose in-class training at one of our UK center or attend live online sessions. Certified Tutors and Authoritative: London Design Training Course has all Autodesk Authorized Trainers. Hands-on Learning Approach: The training is practical and hands-on, combining theory and step-by-step demonstrations. You'll have ample time to practice techniques on your computer with Maya, and you can keep all the files you create. Compatible with Windows and Mac: Maya training is available for both Windows and Mac users, with options to suit any recent version of Maya. Maya Basic to Advanced Course Duration: 40 hours Course Description: In this course, you will learn the fundamental and advanced skills to create complex 3D models and animations using Autodesk Maya software. You will gain knowledge of the Maya interface, tools, and workflow. You will learn the essentials of modeling, texturing, rigging, animating, and rendering 3D models. You will also learn how to create advanced special effects and understand advanced modeling techniques. I. Introduction to Maya (3 hours) Overview of Maya and its Uses Maya interface and basic tools Navigation and viewport controls Creating and saving projects II. Basic Polygon Modeling (6 hours) Polygon modeling basics Creating basic shapes and objects Editing and modifying objects Creating complex objects with extrusions and bevels Creating organic shapes with NURBS III. Intermediate Modeling (6 hours) Advanced polygon modeling techniques Creating complex models with Booleans and deformers Creating and modifying curves and surfaces Creating organic shapes with sculpting tools Creating architectural models IV. Texturing and Materials (6 hours) Introduction to texturing Creating and applying materials Texture mapping and UV unwrapping Creating realistic materials with shaders Painting textures with the 3D paint tool V. Lighting and Rendering (6 hours) Basic lighting techniques Advanced lighting techniques Creating realistic lighting environments Setting up a camera and creating a composition Rendering still images and animations Output options and file formats VI. Animation (9 hours) Introduction to animation Keyframe animation and animation curves Creating and editing animation clips Rigging and animating a simple character Creating and editing motion paths and animation layers Creating complex character rigs Creating lip sync and facial animation Creating realistic animation with dynamics and simulations Cloth Animation Ncloth VII. Rigging (4 hours) Introduction to rigging Creating joints and skeletons Binding skin to joints and creating weight maps Creating simple rigging systems and rigging a character Creating complex rigging systems VIII. Special Effects (4 hours) Particle systems and dynamics Creating and manipulating fluids and fire effects Creating and editing special effects like explosions and smoke Creating advanced simulations with nCloth and nParticles Paint effects Mash Networks and Mash Animation IX. Advanced Rendering Techniques (2 hours) Render layers and passes Global illumination and ambient occlusion Mental Ray rendering and settings X. Conclusion and Next Steps (1 hour) Review of course content Tips for further learning and resources Q&A; and feedback Note: The above course outline is just a suggestion, and the course content and duration can be adjusted according to the needs and level of the learners. Proficiency in Advanced Maya Techniques: Participants will gain advanced skills in various aspects of Maya, including modeling, UV mapping, texturing, lighting, camera movement, and rigging. Tailored Training: The course is customized to meet the specific requirements of participants, focusing on their preferred techniques and work type. Hands-On and Practical Experience: The training is practical and hands-on, allowing participants to practice techniques on their own computers with Maya. Versatility in Operating Systems: Participants will be equipped to use Maya on both Windows and Mac systems. Accredited Certification: Upon successful completion, participants will receive an e-certificate, accredited by Autodesk Certified instructor, confirming their achievement in the Maya training course. Post-Course Support: After the training, participants are entitled to 30 days of email support from their Maya trainer, ensuring assistance with any post-course questions or issues. Up-to-Date and Relevant Learning: The training can be based on any recent version of Maya, providing participants with up-to-date knowledge and skills.

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialist Anyone who builds and develops IT systems Overview Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to preempt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal The Principles of Privacy in Technology training is the how to course on privacy and data protection practices in the development, engineering, deployment and auditing of IT products and services. Those taking the course will develop an understanding of privacy-related issues and practices in the context of the design and implementation of information and communication technologies and systems. The training is based on the body of knowledge for the IAPP?s ANSI accredited Certified Information Privacy Technologist (CIPT) certification program. Fundamentals of information privacy Reviewing the modern history of privacy Foundational privacy concepts Data protection roles and fair information practices Exploring the impacts of privacy and data protection regulations on information management Privacy in the IT environment Compliance requirements IT risks Stakeholder privacy expectations Differentiating between privacy and security Core privacy concepts Foundational elements for embedding privacy in IT Common privacy principles Data protection by design and default Privacy considerations in the information life cycle Privacy considerations throughout the stages of the information life cycle Privacy in systems and applications Examining the risks inherent in the IT environment and options for addressing them Identity and access management Credit card information and processing Remote access BYOD and telecommuting Data encryption Additional privacy-enhancing technologies in the enterprise environment Privacy techniques Strengths and weaknesses of authentication techniques Using identifiers Privacy by design Online privacy issues Unique challenges that come from online privacy issues Laws and regulations Online threats Social media E-commerce Tracking technologies Web security protocols Technologies with privacy considerations Privacy considerations associated with a variety of technologies Cloud computing Wireless IDs Location-based services ?Smart? technologies Video/data/audio surveillance Biometric recognition