178 Natural courses in Birmingham delivered Live Online

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

CLINICAL PRP  • Sports medicine • Traumatology • Ophthalmic • Burn trauma • Wound healing – diabetic foot • Skin grafting • Dentistry-sinus lift • Tooth implants. Group Discount | We do not charge VAT! PRP theory & equipment: Training Online Theory will enable you to understand: Anatomy Vascular Supply, Contraindications Patient consultation Complications Management Post treatment advice Dealing with equipment | Suppliers A certification of training will be provided upon completion of the course. Aesthetic PRP • Skin rejuvenation • Hair restoration • Fat grafting in combination PRP • Post laser •Acne & Rosacea •Acne scar •Tissue Volumisation alternative of HA fillers •Aesthetic gynaecology /urology.   Platelet Rich Plasma We will cover pertinent information including mechanism of action, safety and efficacy issues, management and treatment of complications, dilution guidelines, and more. Hands on practical session – skin rejuvenation and hair loss Extraction, Preparation and Dosage Management Injection techniques – face, neck and head (hair loss); also the use of cannula Upon successful completion of the course, you will receive a certificate and title of PRP Certified Practitioner. MASTER CLASS PRP & PRF During the course we are providing . Taking blood and how to use a Centrifuge . PRP injecting techniques in face neck and décolletage hands. PRP Microneedling using a DERMAPEN. Combination treatment PRP with Mesotherapy. MECHANISM OF ACTION Platelets + Leucocytes form 3D mesh release of GF Chemo attraction and migration of macrophages and stem cells Stem cells proliferates by mitosis Stem cells undergo differentiation process BENEFIT FROM PRP TREATMENT & THERAPYExperience the advantages of PRP treatment and therapy, utilizing autologous blood with natural growth factors for disease-free and hypoallergenic benefits. Boost wound healing by regulating mitosis, proliferation, and differentiation, enhancing tissue with collagen, elastin, and hyaluronic acid. Benefit from improved tissue oxygenation, nutrition flow, and support for procedures like hair transplants, fat transfers, and skin grafts.PRP works effectively in skin rejuvenation, facial resurfacing, microneedling, and combines well with HA, PDO threads, skin boosters, peeling, or CO2 lasers. It also proves beneficial for hair restoration, showing positive results in various protocols for Androgenic alopecia and age-related hair loss.PRP where works .Skin rejuvenation-facial resurfacing application-injection alone. Microneedling Combination with HA, Combination with PDO threads, Skin boosters , peeling or CO2 lasers Hair restoration, Multiple protocols with positive results Evidence for improvement of: Androgenic alopecia-male and females, “spot hair lost” Improvement of age related hair loss. You need to be medically qualified as a doctor, dentist, nurse, pharmacist or paramedic with full governing body registration and have completed a Foundation Filler Course and to have administered a number of cases. MASTERCLASS 8 CPD POINTS 1 DAY INTENSIVE COURSE  ONLINE VIDEO TRAINING

MASTERCLASS 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! CLINICAL PRP • Sports medicine • Traumatology • Ophthalmic • Burn trauma • Wound healing –diabetic foot • Skin grafting • Dentistry-sinus lift • Tooth implants.   PRP theory & equipment: Training Online Theory will enable you to understand: Anatomy Vascular Supply, Contraindications Patient consultation Complications Management Post treatment advice Dealing with equipment A certification of training will be provided upon completion of the course. Aesthetic PRP • Skin rejuvenation • Hair restoration • Fat grafting in combination PRP • Post laser •Acne & Rosacea •Acne scar •TissueVolumisation alternative of HA fillers •Aesthetic gynecology /urology.   Plathelet Rich Plasma We will cover pertinent information including mechanism of action, safety and efficacy issues, management and treatment of complications, dilution guidelines, and more. Hands on practical session – skin rejuvenation and hair loss Extraction, Preparation and Dosage Management Injection techniques – face, neck and head (hair loss); also the use of cannula Upon successful completion of the course, you will receive a certificate and title of PRP Certified Practitioner.   MASTER CLASS PRP & PRF During the course we are providing . Taking blood and how to use a Centrifuge . PRP injecting techniques in face neck and décolletage hands. PRP Microneedling using a DERMAPEN. Combination treatment PRP with Mesotherapy. MECHANISM OF ACTION Platelets + Leucocytes form 3D mesh release of GF Chemo attraction and migration of macrophages and stem cells Stem cells proliferates by mitosis Stem cells undergo differentiation process BENEFIT FROM PRP TREATMENT & THERAPYExperience the advantages of PRP treatment and therapy, utilizing autologous blood with natural growth factors for disease-free and hypoallergenic benefits. Boost wound healing by regulating mitosis, proliferation, and differentiation, enhancing tissue with collagen, elastin, and hyaluronic acid. Benefit from improved tissue oxygenation, nutrition flow, and support for procedures like hair transplants, fat transfers, and skin grafts.PRP works effectively in skin rejuvenation, facial resurfacing, microneedling, and combines well with HA, PDO threads, skin boosters, peeling, or CO2 lasers. It also proves beneficial for hair restoration, showing positive results in various protocols for Androgenic alopecia and age-related hair loss.PRP where works .Skin rejuvenation-facial resurfacing.application-injection alone. Microneedling Combination with HA,Combination with PDO threads,Skin boosters , peeling or CO2 lasers Hair restoration, Multiple protocols with positive results Evidence for improvement of: Androgenic alopecia-male and females, “spot hair lost” Improvement of age related hair loss. You need to be medically qualified as a doctor, dentist, nurse, pharmacist or paramedic with full governing body registration and have completed a Foundation Filler Course and to have administered a number of cases. Additional information ATTENDANCE ONLINE (Theory), IN CLINIC (Practice) COURSE LEVEL EXPERT | Masterclass Course

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

Course Description: 3ds Max Evening Training Course. Training duration: 10 hrs Method: 1-2-1, Personalized attention, Tailored content, Flexible pace, Individual support. Schedule: Personalized training experience with our flexible 1-2-1 sessions. Tailor your own schedule by pre-booking a convenient hour of your choice, available from Monday to Saturday between 9 am and 7 pm. Course Link Unleash the art of character animation with our 3ds Max training course. Perfect for beginners and seasoned artists alike. Benefit from certified tutors and industry experts as your mentors. Opt for in-person or live online sessions with flexible scheduling. Access recorded lessons and lifetime email support. Receive a Certificate of Attendance and a practical training guide. Enjoy hands-on instruction and personalized attention. Ideal for architects, interior designers, game designers, and more. Enroll today and unlock your animation potential with 3ds Max. Try it out for free using the link provided. Module 1: Introduction to 3ds Max (1 hour) Overview of 3ds Max and its applications in various industries Interface tour and navigation controls Working with objects, creating basic shapes, and transformations Understanding the viewport and workspace customization Module 2: Modeling in 3ds Max (2 hours) Polygon modeling techniques Working with modifiers for efficient modeling Creating complex shapes using subdivision surfaces Using splines and lofting for advanced modeling Introduction to NURBS modeling Module 3: Texturing and Materials (2 hours) UVW unwrapping and mapping techniques Applying textures and materials to objects Utilizing the Material Editor and material libraries Creating realistic materials using maps and procedural textures Introduction to PBR materials and material workflows Module 4: Lighting and Cameras (1.5 hours) Types of lights and their properties in 3ds Max Setting up basic and advanced lighting scenarios Working with natural and artificial lighting techniques Introduction to photometric lighting and IES profiles Camera settings and composition for better renders Module 5: Animation and Rigging (1.5 hours) Understanding keyframes and animation controllers Creating simple animations and motion paths Introduction to character rigging and bone systems Basic animation principles and timing Animating objects and cameras for visual storytelling Module 6: Rendering and Output (1.5 hours) Overview of the rendering process in 3ds Max Render settings and output formats Working with render elements for post-processing Introduction to V-Ray rendering (or other popular render engines) Final render setup and optimization techniques Module 7: Particle Systems and Dynamics (1 hour) Introduction to particle systems and particle flow Simulating dynamics and physics in 3ds Max Working with particle operators and events Creating realistic effects like smoke, fire, and water Module 8: Advanced Techniques and Plugins (1 hour) Exploring advanced tools and workflows in 3ds Max Overview of popular plugins and their functionalities Integration with other software and formats (e.g., Adobe Photoshop, CAD software) Utilizing scripts and automation for workflow optimization Downlaod 3ds max for free

About This VILT This 3 half-day course is designed to give a clear businessperson’s summary of the technological, market and economic/competitive issues around the key commodities which can be decarbonised through the use of clean hydrogen in their production. It will examine direct derivatives such as ammonia, methanol and synfuels, along with the impact clean hydrogen may have on the production and trading of other products such as green steel. Clear explanations will be given on technological pathways and key terminologies, in language accessible to non-engineers and commercial businesspeople. The positioning of these hydrogen derivatives in both current and potential future markets will be presented, framed with discussion around the economic and competitive factors which will determine market growth As well as explaining key concepts, the presented content will draw on current market examples, published models, scenarios and forecasts, and on fundamental physical and chemical constraints (for example illustrated by utilising simple calculations and quantifications). Download your brochure Email me the brochure TRAINING OBJECTIVES Upon completion of this VILT course, the participants will be able to: Review the key derivatives of hydrogen, with their market drivers Understand common terminology and technologies within the sector Quantify essential metrics and constraints to the production and trade of hydrogen derivatives Assess the role of clean ammonia in the future hydrogen supply chain Analyse the pathways to combine clean hydrogen with captured CO2 Understand how different policy mechanisms and end-use drivers will influence the growth and competition between different hydrogen derivatives Examine market and project examples, both current and planned Assess the impact of decarbonisation in key sectors such as shipping, aviation and power TARGET AUDIENCE This VILT course has been specifically designed for: Business developers Company strategy developers Investors Product and project management executives Policymakers and regulators Other commercial roles (e.g. marketing, regulatory etc.) Engineers or technical people entering new roles / new to the subject COURSE LEVEL Intermediate TRAINING METHODS The VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. TRAINER Your Expert Course Instructor is an internationally renowned energy communicator and business educator, focused on the interconnected clean energy transition topics of renewable power, energy storage, energy system electrification and hydrogen. His own independent technology tracking, market assessment and opportunity/risk analysis is delivered to clients through a mix of business advisory work, commissioned content, small-group training (online & in-person), and one-to-one executive coaching (online). In the hydrogen sector, he is currently lead consultant and trainer to the World Hydrogen Leaders network, and writer of their ‘This Week in Hydrogen’ news column. He is also co-presenter of the ‘New Energy Chinwag’ podcast, which regularly covers hydrogen-related issues. During more than 15 years as an independent energy expert, he has helped companies from large multinationals to innovative start-ups – totalling assignments in over 30 countries across 5 continents. Most recently, he has presented clean energy training in locations as diverse as Singapore, the UK, South Africa, The Philippines, the USA, Mexico, Spain and Dubai – and, in recent times of course, online to international audiences from across the world. Prior to this, he was Research Director for over 10 years at Informa, a $9 billion business intelligence provider; where he drove new market identification, analysis and project deployment work, and managed teams in the UK and US. He has a strong science background, holding a 1st Class Honours degree in Natural Sciences from the University of Cambridge, a PhD in Earth Sciences and a further Diploma in Economics & Sustainability from the UK’s Open University. Download your brochure Email me the brochure POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable

Why Learn SketchUp Evening Training Course? You will learn how to create and edit 3D models to a professional standard, ensuring you leave with the skills and confidence to fully take advantage of SketchUp and Layout software. You can book this course after work we are open 9 am to 7 pm. Course info Duration: 10 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. SketchUp Evening Training Course Course Duration: 10 hours I. Introduction to SketchUp (1 hour) - Overview of SketchUp for interior design and architecture - Familiarization with the user interface and essential tools - Mastering navigation and viewport controls - Efficiently creating and managing interior design and architectural projects II. Creating Floor Plans (1 hour) - Importing floor plans and site plans for reference - Precision in drawing walls, windows, and doors - Effective management of floor levels - Organizing designs using Layers and Scenes III. Adding Furniture and Fixtures (2 hours) - Accessing and importing furniture and fixtures from the extensive 3D Warehouse - Crafting custom furniture and fixtures to suit specific design needs - Strategically placing and arranging elements within the space - Crafting and customizing materials to achieve the desired visual impact IV. Advanced Modeling Techniques (2 hours) - Employing advanced tools for creating intricate 3D models - Enhancing model organization using groups and components - Adding exquisite details and finishes to elevate design quality V. Layout for Construction Documents (2 hours) - Creating construction documents in Layout for clear communication - Seamlessly importing SketchUp models into Layout - Crafting detailed floor plans, elevations, and sections - Adding annotations and dimensions to facilitate construction VI. Introduction to Vray (1 hour) - Understanding the capabilities of Vray for SketchUp - Familiarization with the basic Vray interface and tools - Exploring Vray materials and textures for enhanced rendering VII. Advanced Rendering Techniques (1 hour) - Applying advanced rendering techniques to elevate SketchUp models - Creating artificial and natural lighting for realistic visualizations - Enhancing designs with entourage and landscaping elements VIII. Importing and Exporting (30 minutes) - Seamlessly importing and exporting files for versatile workflows - Ensuring file format compatibility with other software - Preparing models for 3D printing as required IX. Conclusion and Next Steps (30 minutes) - Comprehensive review of course content and key takeaways - Suggested further learning resources and avenues for improvement - Interactive Q&A session and feedback collection Download SketchUp | Free Trial of 3D Modeling Software SketchUp https://www.sketchup.com SketchUp's Intuitive Interface Helps You Communicate Ideas In 3D Fast. Subscribe Today!

Elevate your expertise in clean hydrogen derivatives - ammonia, methanol, and synthetic hydrocarbon with EnergyEdge's course. Enroll now for virtual instructor-led training!

Why Choose Vray for Architects and Interior Designers 3ds max or Sketchup Training Course? Click here for info Achieve stunningly realistic renders with our tailored course in V-Ray. Designed for experienced SketchUp and 3ds max users, this advanced training covers model preparation and rendering techniques, customized to your skill level and preferences. Duration: 10 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own hours of your choice, available from Mon to Sat between 9 am and 7 pm. SketchUp is renowned for its user-friendly interface and widespread usage in 3D modeling. Now, with V-Ray for SketchUp, users can take advantage of a powerful rendering tool for unparalleled visualization quality and realism. V-Ray seamlessly integrates into the SketchUp environment, allowing for efficient rendering within your existing workflows. Our course is ideal for those seeking to enhance their SketchUp proficiency by incorporating V-Ray's potent rendering capabilities for 3D models. We adapt the training to your current skill levels in both SketchUp and V-Ray and tailor the content to your modeling requirements and desired rendering quality. V-Ray Rendering Training Course. Course Duration: 10 hours Course Description: This 10-hour course enhances rendering skills with V-Ray, a leading 3D visualization engine. Participants master photorealistic renders, focusing on lighting, materials, and post-production. Covering key concepts, workflow, lighting techniques, material creation, rendering settings, and post-processing, the course ensures stunning visual results. Course Outline: Module 1: Introduction to V-Ray Rendering (1 hour) Overview of V-Ray and its role in 3D rendering Understanding the rendering workflow Setting up V-Ray for your 3D software platform Module 2: Essential Rendering Concepts (1 hour) Understanding global illumination and its impact on renders Exploring image sampling and antialiasing techniques Introduction to render elements for post-processing Module 3: Lighting Techniques (2 hours) Mastering various lighting types in V-Ray Creating natural lighting with HDRI maps Implementing artificial lighting with V-Ray lights Achieving realistic daylight with V-Ray sun and sky Module 4: Material Creation (2 hours) Creating realistic materials using V-Ray material editor Applying textures and procedural maps for added realism Understanding material reflections and refractions Advanced techniques for materials like glass, metal, and fabric Module 5: Rendering Settings and Optimization (1.5 hours) Exploring V-Ray rendering settings for different scenarios Understanding render output options and resolution settings Efficiently using V-Ray distributed rendering for faster results Module 6: Post-Processing with Photoshop (1.5 hours) Enhancing renders through post-processing techniques Compositing render elements for added control Adjusting colors, contrast, and lighting in Photoshop Adding effects and final touches to achieve photorealism Module 7: Advanced Rendering Techniques (1 hour) Working with V-Ray proxies and instancing for complex scenes Utilizing V-Ray displacement for intricate detailing Understanding depth of field and motion blur effects Module 8: Real-World Project (1 hour) Applying the skills learned to complete a real-world rendering project Guidance and feedback from the instructor