1185 Courses in London

Python Course, code the Hangman. Basic Python Course covers in one hour the coding of an interesting app. Any one very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led Download: anaconda.com Duration: 1 Hour Times: arrange a time for your time zone

Who is this course for? Beginner to Intermediate 3ds Max Training Program. Learn 3D modeling with our in-depth 3ds Max training program. Beginners to intermediate learners, this course is led by certified instructors and industry professionals. Learn 3D modeling, animation, and visualization. In-person or live online sessions. Click here for more info: Website Duration: 20 hours Method: 1-on-1 Personalized Attention. Schedule: Design your own schedule, hours of your choice, offered Mon to Sat from 9 am to 7 pm. 3ds Max and Vray Basic to Intermediate Training Course - 20 Hours Course Outline: Module 1: Introduction to 3ds Max (2 hours) Familiarizing with the 3ds Max interface and navigation Understanding the workspace setup for efficient workflow Mastering object creation, modification, and manipulation Exploring the basics of scene organization and management Module 2: 3D Modeling in 3ds Max (4 hours) Creating primitive and complex shapes using standard tools Utilizing modifiers for advanced modeling techniques Mastering spline modeling for precision and creativity Combining multiple objects for seamless compositions Module 3: Texture Mapping and Material Creation (4 hours) Understanding UVW mapping and texture coordinates Applying materials and shaders for realistic surfaces Utilizing Vray materials for enhanced visual effects Customizing materials for unique and captivating designs Module 4: Lighting and Rendering with Vray (4 hours) Implementing Vray lights for various lighting setups Exploring Vray's global illumination for realism Configuring render settings for high-quality output Fine-tuning the rendering process for efficiency and speed Module 5: Animation and Camera Techniques (4 hours) Setting up animation keyframes for dynamic motion Utilizing cameras for captivating viewpoints and perspectives Creating smooth camera animations and walkthroughs Incorporating animated objects to bring scenes to life Module 6: Scene Optimization and Advanced Features (2 hours) Streamlining scene organization for better workflow Leveraging Vray proxies for optimized performance Exploring advanced Vray features for stunning effects Using Vray render elements for post-processing control Module 7: Project Work and Review (2 hours) Applying the learned skills in hands-on projects Reviewing and refining the projects with instructor guidance Consolidating knowledge and addressing any remaining queries Course Requirements: A computer with 3ds Max and Vray installed (trial versions available on Autodesk and Chaos Group websites) Basic familiarity with 3D modeling concepts is beneficial but not mandatory Enthusiasm for learning 3ds Max and Vray to create impressive 3D models, visualizations, and animations By the end of the 3ds Max and Vray Basic to Intermediate Training Course, participants will be able to: Navigate and utilize the 3ds Max interface with ease for efficient 3D modeling and scene management. Create a variety of 3D models using different techniques, including primitive shapes, modifiers, and spline modeling. Apply textures and materials to their models, utilizing Vray materials for enhanced visual effects. Set up lighting and render scenes using Vray, understanding global illumination for realistic renders. Animate objects and cameras, producing dynamic and engaging animations within their 3D scenes. Optimize scenes and use advanced Vray features, like proxies and render elements, for improved performance and post-processing control. Apply the learned skills to hands-on projects, gaining practical experience in creating captivating 3D models and animations. Review and refine their projects, receiving instructor guidance and feedback to enhance their work. Gain confidence in using 3ds Max and Vray, allowing them to continue exploring and advancing their 3D modeling and rendering skills independently. Showcase their newfound abilities through an impressive portfolio of 3D models and animations, ready to take on new creative challenges in various industries. Skills Acquired: Mastering Fundamental 3D Modeling Techniques in 3ds Max Developing Texturing and Material Application Skills Understanding Lighting and Rendering Fundamentals Grasping Animation Basics and Keyframe Animation Gaining Proficiency in Scene Composition and Camera Setup Career Opportunities: Entry-Level 3D Modeler Junior 3D Animator Texturing and Lighting Assistant CAD Designer in Architectural Firms Product Visualization Artist in Marketing Agencies Upon completing our 3ds Max Beginner Course, students will acquire foundational 3D modeling and animation skills, opening doors to entry-level positions in various industries, including animation studios, architectural firms, and marketing agencies. Personalized Guidance: Expert trainers cater to your unique learning needs through tailored one-on-one coaching. Hands-On Learning: Engage in practical demonstrations, reinforcing skills applicable to industries like design, gaming, and film. Comprehensive Resources: Access a Certificate of Attendance and detailed training guides for continuous reference. Interactive Sessions: Interact live with tutors, receiving valuable feedback and access to recorded sessions. Flexible Options: Choose between online or in-person sessions, fitting your schedule and preferences. Value and Support: Enjoy competitive rates, discounts for referrals, and lifetime assistance via email and phone. Smooth Start: Receive assistance with software installation, ensuring a seamless learning experience.

Age and gravity effects on our skin are offset by non-invasive HIFU treatment using the body's own recuperative powers to lift the skin of the face, neck, under the chin, and décolleté, lift eyebrows and smooth wrinkles and lines. It is safe and effective. HIFU treats tissue otherwise only reached by surgery. HIFU can go beneath the surface of the skin without breaking the outer skin and reach into the dermis and SMAS layer. It is suitable for men as well as women. This training course for HIFU Non-Surgical Facial Therapy is specially developed for the more experienced facial specialist who wants to offer HIFU Non-Surgical Facial Therapy as a new treatment on their menu. Course prerequisites This course is suitable for both medics and non-medics.  Level 3 in Beauty Therapy or equivalent is desirable Good command of English A minimum of 18 years Previous skin and facial training are desirable we suggest that learners new to the industry enrol on our facial and skincare course prior to enrolling on our ClinicCare skin peel course. Course structure A mixture of online study, virtual lectures and an onsite practical session. All courses are intimate with four learners in class 2-1 ratio. Areas covered within the course: Health and safety Anatomy and Physiology Fat types Fat Distribution Role of fat in the body The science behind HIFU for Fat Reduction The science behind HIFU for skin laxity Stages of skin laxity Collage Elastin Fibroblasts Wound healing process Selecting different equipment and the benefits associated Cartridge type Areas suitable for treatment Treatment duration Protocols including frequency, intensity etc Benefits for the client and clinic Contra indications and actions Client suitability and assessment for treatment Risks and side effects Training is complimentary when you purchase the Beautier 4D HIFU machine. Contact us for the course and machine package prices.

Gain the knowledge and skills to assess, manage, and support individuals with dysphagia through our comprehensive "Understanding Dysphagia and Safe Swallowing" course. Learn about its causes, assessment methods, and strategies for safe swallowing.

Photoshop basic to fundamentals Training Course bespoke and customized

Our popular Foundations in Acting Short Course London. Introduction to professional acting craft. For Beginners but also for newcommers to the industry and the Beck Emotional Access Technique.

Empowering healthcare professionals for optimal tracheostomy care.

About this Virtual Instructor Led Training (VILT) Asia Pacific is set to be the largest and fastest growing Hydrogen market globally. This growth is driven by decarbonisation of energy-use, ammonia production and rising demand of fuel cell electric vehicles. Hydrogen as a fuel has outstanding energy carrying capacity and many application possibilities ranging from Petroleum refinery, Ammonia and Methanol production, Transportation and Power generation. Although the current petrochemical market segment will remain strongest in the near future, it is the transport and power sector which spurs the vision of a massive market takeoff in the next decade. The ever-rising share of renewable energies require flexible and scalable storage solutions, which in turn offers many additional revenue streams beyond pure electricity sales. Adding to this the strong impetus towards decarbonization of the transport sector from cars, trucks, trains to ships and even airplanes creates the breed for an exciting and yet untapped market potential. This course aims to clarify and assess the hydrogen business case along its value chain and versatile market applications. Training Objectives Understanding current hydrogen market status and recent developments Major drivers and inhibitors influencing the growth of the market Understanding and comparing various production technology processes Challenges and solutions in transport, distribution and storage of hydrogen Mapping the many petrochemical, energy and transport applications Analyse business cases from around the world and understand their economics Target Audience Project developers Equipment Manufacturers Oil, Gas and Petrochemical sector companies IPPs and utilities Transport sector companies and port operators Policy makers and regulators Investors and lenders Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 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 (10mins 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 leader 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. 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

Vectorworks Evening Course face to face One to one

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds