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Basic ABG interpretation ABG interpretation training Introduction to ABG analysis Arterial blood gas interpretation Healthcare professional ABG course Acid-base balance training ABG parameters explanation Respiratory and metabolic disturbances Hands-on ABG practice Clinical applications of ABG interpretation ABG training for nurses/physicians/respiratory therapists ABG interpretation certification CPD accredited ABG course Practical ABG learning

This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects.

About this Training Course Reservoir engineering methods, data and models are used in the E&P business to describe and optimise hydrocarbon recovery. This 5 full-day course addresses reservoir engineering concepts and methods to enable cross-disciplinary team work and the smooth exchange of ideas and experience. In this course, participants will gain an in-depth understanding of the fundamentals of reservoir engineering and a broad range of modern reservoir engineering principles and practices for reservoir development and production, including the estimation of oil and gas reserves. The topics covered in this course will be illustrated with practical and actual field cases. Some self-study or reading will be required from participants. Training Objectives By the end of this course, participants will be able to: Describe use of permeability and fluid saturation in reservoir engineering. Explain the assessment of hydrocarbon resources and recoverable reserves estimation. Understand analysis and modelling of fluid behaviour. Explain oil and gas reservoir performance. Describe material balance methods in oil and gas reservoirs. Understand design and analysis of well tests. Understand analysis and production of producing wells and forecasting methods. Describe fluid displacement at the pore and reservoir scale. Explain reservoir simulation approaches. Describe tools for handling the uncertainty in reservoir analysis. Describe various recovery methods from primary to enhanced recovery. Target Audience This course is intended for professionals with prior technical or engineering exposure to exploration and production activities. Targeted participants include geoscientists, production engineers, petrophysicists and petroleum engineers involved with exploration and development of oil & gas reservoirs. The course will also benefit petroleum engineering team leaders as well as IT staff and support staff who work with reservoir engineering, development and production departments. Course Level Basic or Foundation Trainer Your expert course leader is an independent Reservoir Engineering Consultant, providing project consultancy and reservoir engineering training for global customers. He retired from Shell in 2012 and during the last years of his Shell career, he held the Senior Reserves Consultant for the Middle East and Reservoir Engineering Discipline Lead positions. He is a seasoned Petroleum Engineering professional, with global experience in Shell companies and joint ventures (NAM, SSB, SCL, PDO, SKDBV). His technical expertise is in reserves and resource management, reservoir engineering quality assurance, and staff development as well as carbonate reservoirs, modelling and reservoir simulation.  PROFESSIONAL EXPERIENCE 2012 to date Independent Reservoir Engineering Consultant Petroleum and reservoir engineering advice, training and services. Reservoir engineering training for major oil companies, engineering firms and other global customers. Assurance of SPE and SEC reserves compliance. Participation in SPE reserves and resources estimation Advanced Technology Workshops both as an organising committee member and as session speaker.   2008 - 2012 Shell International E&P, the Hague, the Netherlands Senior Reserves Consultant for Shell business units and joint ventures in the Middle East Region Assurance of SEC and SPE compliance of reserves and resources. Industry publications and conference contributions a.o. SPE guidelines on probabilistic reserves estimation.   2006 - 2008 Shell E&P Technology Solutions, Rijswijk, the Netherlands Reservoir Engineering Discipline Lead Responsible for Reservoir Engineering in global projects and for staff planning and development (over 60 international Reservoir Engineers).   2001 - 2005 Centre for Carbonate Studies, SQU, Oman / Shell International E&P Applications and Research / Shell Representative Office Oman   Petroleum Engineering Manager PE Manager in the Carbonate Research Centre, a joint venture between Sultan Qaboos University in Oman and Shell International. Industrial research projects and teaching on recovery aspects of carbonate reservoir development.   1997 - 2000 Shell International E&P, Rijswijk, the Netherlands Principal Reservoir Engineer Coordination of the NOV subsurface team in Shell Kazakhstan Development BV in 2000. Leading role in Shell Gamechanger project on natural gas hydrates. Acting Shell Group Reserves Co-ordinator in 1997-1998. Facilitation of workshops with government shareholders, including discussions on sensitive reserves issues (BSP Petroleum Unit Brunei, PDO Oman, SPDC government Nigeria).   1992 - 1996 Shell Training Centre, Noordwijkerhout, the Netherlands Reservoir Engineering Programme Training Director Advanced PE training events, QA/QC, design and delivery of courses to Shell staff.   1985 - 1992 Shell International, SIPM, the Hague, The Netherlands Senior Reservoir Engineer Reservoir simulation, integrated reservoir modelling and gas field development and major contributor to the Shell internal Gas Field Planning Tool development. Full field reservoir simulation projects supporting Field Development Plans, operational strategies and unitisation negotiations for Shell Group Operating Companies in the United Kingdom, New Zealand and Egypt.   1984 - 1985 Geological Survey of the Netherlands, Ministry of Economic Affairs Reservoir Engineering Section Head Responsible for Petroleum Engineering advice on oil and gas licences to the Ministry of Economic Affairs. First-hand experience with a government view on resource management.   1976 - 1984 NAM, Assen, The Netherlands and SSB/SSPC, Miri, Malaysia Wellsite Operations Engineer / Operational Reservoir Engineer 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 Accreditions And Affliations

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About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor 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. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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 Accreditions And Affliations

About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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 Accreditions And Affliations

The Internet of Things (IoT) promises a wide range of benefits for industry, energy and utility companies, municipalities, healthcare, and consumers. Data can be collected in extraordinary volume and detail regarding almost anything worth measuring, such as public health and safety, the environment, industrial and agricultural production, energy, and utilities.

About this Training Course This course will begin with a presentation of topics to familiarize Process and Instrumentation Engineers with procedures and practices involved in the choice of sensors related to the measurement of temperature, pressure, level and flow in relation to single-phase flows. It will provide guidance on the optimum commercially available devices through a detailed comparison of their relative merits. At the heart of this course is sensor calibration which is a crucial element for these topics. The course will also examine the various types of flow control valve, including Globe, Slide, Needle, Eccentric plug and Ball valves and their characteristics in industrial application, while focusing on the problems of Cavitation and Flashing and methods to minimise or eradicate these issues. With the use of examples, industry case studies and a wide range of videos, this course will also cover all aspects of proportional (P), derivative (D) and integral (I) control. In particular, it will address the advantages and disadvantages of PI and PID control. It will also describe Cascade, Feed forward, Split Range, Override and Ratio Control techniques. Training Objectives By attending this course, participants will acquire the following knowledge and skills: Apply an in-depth knowledge to the measurement of temperature, pressure, level and flow as well as to the fluid mechanics of pipe flows Assess the advantages and disadvantages of the major flowmeter types including the differential pressure, rotary positive displacement, rotary-inferential, electromagnetic, ultrasonic and Coriolis mass flowmeters to determine the optimum choice for a given application Make a considered judgement of the choice of fluid level measurement devices Understand the various types of flow calibration, metering systems and provers Carry out tank measurement and tank calibration methods and to calculate net sellable quantities Discuss valve characteristics & trim selection and illustrate the process of control valve sizing Explain the terms Open and Closed loop Define Process Variable, Measured Variable, Set Point and Error Define Direct and Reverse controller actions Explain the terms Process Lag, Measurement Lag, Transmission Lag, and Response Lag and their effect on controllability Explain ON/ OFF Control and the inherent disadvantages Explain Proportional Control, Offset, Gain and Proportional Band and the advantages and disadvantages of Proportional only control Explain the fundamentals and operation principles of Integral (I) Action and the disadvantages of proportional plus integral control Explain the fundamentals and operation principles of Derivative (D) Action in conjunction with P action Describe the operating principles of a PID Controller and explain the applications and advantages of PID control Describe Cascade, Forward, Split Range and Ratio Control operation principles Target Audience This course will benefit instrumentation, inspection, control, custody metering and process engineers and other technical staff. It is also suitable for piping engineers, pipelines engineers, mechanical engineers, operations engineers, maintenance engineers, plant/field supervisors and foremen and loss control coordinators. Trainer Your expert course leader is a Senior Mechanical & Instrumentation Engineer (UK, B. Sc., M.Eng., Ph D) with over 45 years of industrial experience in Process Control & Instrumentation, Pumps, Compressors, Turbines and Control Valve Technology. He is currently a Senior Independent Consultant to various petrochemical industries in the UK, USA, Oman, Kuwait and KSA where he provides consultancy services on both the application and operational constraints of process equipment in the oil & gas industries. During his early career, he held key positions in Rolls Royce (UK) where he was involved in the design of turbine blading for jet engines, subject to pre-specified distributions of pressure. During this period and since, he has also been closely involved in various aspects of Turbomachinery, Thermodynamics and Fluid Mechanics where he has become a recognised authority in these areas. Later, he joined the academic staff of University of Liverpool in the UK as a Professor in Mechanical Engineering Courses. A substantial part of his work has been concerned with detailed aspects of Flowmetering - both of single & multiphase flows. He has supervised doctoral research students in this area in collaboration with various European flowmeter manufacturers. He joined Haward Technology Middle East in 2002 and was later appointed as European Manager (a post which has since lapsed) and has delivered over 150 training courses in Flowmeasurement (single- and multi-phase), Control, Heat Exchangers, Pumps, Turbines, Compressors, Valve and Valve Selection as well as other topics throughout the UK, USA, Oman and Kuwait. During the last two years, he has delivered courses with other training companies operating in the Far and Middle East. He has published about 150 papers in various Engineering Journals and International Conferences and has contributed to textbooks on the topics listed above. 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 Accreditions And Affliations

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