754 PIP courses

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.

Enhance your knowledge in oil and gas drilling essentials with EnergyEdge's classroom training for new engineers and non-technical professionals.

Register on the Python from Scratch today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of several easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The Python from Scratch is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With Python from Scratch Receive an e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements The online training is open to all students and has no formal entry requirements. To study the Python from Scratch, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. 

The comprehensive Advanced Piping & Instrumentation Diagrams P&IDs has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Advanced Piping & Instrumentation Diagrams P&IDs today, and learn from the very best the industry has to offer! This best selling Advanced Piping & Instrumentation Diagrams P&IDs has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Advanced Piping & Instrumentation Diagrams P&IDs is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Advanced Piping & Instrumentation Diagrams P&IDs is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. The Advanced Piping & Instrumentation Diagrams P&IDs is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Advanced Piping & Instrumentation Diagrams P&IDs, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Advanced Piping & Instrumentation Diagrams P&IDs will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Advanced Piping & Instrumentation Diagrams P&IDs to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Full stack, in-depth, comprehensive in classroom 2 month training on Java programming. 1 lesson a week; the other days you work on your own on structured homework and are supported with a 1-1 mentor.

The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

This course will let you develop the skillsets needed to guide the delivery of value in a Lean enterprise—and learn about the activities, tools, and mechanics used to manage backlogs and programs. Attending the class prepares you to take the exam and become a certified SAFe® 6 Product Owner/Product Manager (POPM). SAFe Product Owner/Product Manager 6 training course is provided under Scaled Agile, Inc. Partner Program Agreement.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

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.