19225 Basic courses

Vectorworks Evening Course face to face One to one

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

About the course “Quantum Computing for Finance” is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems. “Quantum Algorithms for Computational Finance” is an advanced course in the emerging field of quantum computing for finance. This technical course will develop an understanding in quantum algorithms for its implementation on quantum computers. Through this course, you will learn the basics of various quantum algorithms including: Grover’s and Rudolf’s algorithm, Quantum amplitude Estimation (QAE) algorithm envisioned as a quadratic speed-up over Classical Monte-Carlo simulations, Combinatorial optimization algorithms namely Quantum Approximate Optimization Algorithm (QAOA), and Variational Quantum Eigensolver (VQE), and Quantum-inspired optimization algorithms – Simulated Coherent Ising Machine (Sim-CIM), and Simulated Bifurcation Algorithm (SBA). This course is meant for all those learners who want to explore the long-term employability of quantum computing in finance, assuming that you are familiar with the concepts of quantitative and computational finance. In addition, the course contains several Python based programming exercises for learners to practice the algorithms explained throughout the course. This course is the second part of the specialised educational series: “Quantum Computing for Finance”. What Skills you will learn Ability to perform quantum arithmetic operations and simulations. An understanding of the Quantum Amplitude Estimation algorithm and its variants. The computational and modelling techniques for option pricing and portfolio optimization on a quantum computer. The skills for a career in quantum finance including Quantum Algorithmic Research, Quantitative Asset Management and Trading, financial engineering, and risk management, using quantum computing technology. Course Prerequisites All potential learners must have prior knowledge or familiarity with basic quantum algorithms/basic quantum programming. Before enrolling this course, we recommend all learners to complete the first course “Introduction to Quantitative and Computational Finance” of the series “Quantum Computing for Finance”, if they have no previous experience with the concepts of quantitative and computational finance. Duration The estimated duration to complete this course is approximately 6 weeks (~4hrs/week). Course assessment To complete the course and earn the certification, you must pass all the quizzes at the end of each lesson by scoring 80% or more on each of them. Instructors QuantFiQuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD's and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.

This class will cover most of the basic jewellery making techniques including saw piercing, forming, soldering and polishing. It is suitable for beginners. If you'd like to book this class for a group of 6-8 people contact us and we can make a date, alternatively click below to book the scheduled class.

InDesign face to face training customised and bespoke.

In this course, we will start with extremely basic concepts such as learning the programming language fundamentals and other supporting libraries. Then we will proceed with the core topics with the help of real-world datasets to gain a complete understanding of deep learning using Python and Keras.

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

About this Virtual Instructor Led Training (VILT) Governments, regulators and energy companies are pursuing CO2 storage technologies to meet their net-zero carbon commitments as well as targets set by the international Paris Agreement on climate change. For successfully executing Carbon Capture & Storage (CCS) projects, various technical, operational, economic and environmental risks and associated stakeholders need to be managed. In this 5 half-day Virtual Instructor Led Training (VILT) course, the methods for managing risk in CCS projects are addressed with a focus on CO2 injection and storage. The VILT course will also demonstrate how to assess storage capacity of a potential CO2 storage reservoir, model framing techniques, and well injectivity issues related to CO2 injection. The potential leak paths will be discussed such as reservoir seals, leakage along faults and aspects of well integrity. In the VILT course, the design of a monitoring programme will also be discussed. The VILT course will be supported by various case studies. This VILT course will cover the following modules: CCS projects in an international context Site selection and site characterization Storage capacity assessment Injectivity assessment Containment assessment Measurement, monitoring & verification Training Objectives On completion of this VILT course, participants will be able to: Uncover the functions and associated components required to capture, transport and store CO2 in subsurface aquifers and (depleted) hydrocarbon reservoirs Find a systematic and integrated approach to risk identification and assessment for CO2 storage projects (maturation) Appreciate the requirements (physics modelling) and uncertainties to assess the CO2 storage capacity of a selected site. Understand the challenges, data and methods to assess CO2 well injectivity and well integrity Identify the leakage pathways of a selected storage site, and understand the assessment methods and associated uncertainties Learn how to design a monitoring program Target Audience This VILT course is intended for all surface and subsurface engineers such as facility engineers, geologists, geophysicists, reservoir engineers, petrophysicists, production technologists/engineers, well engineers and geomechanical specialists. Also, (sub)surface team leads, project managers, business opportunity managers, decision executives, and technical risk assessment & assurance specialists will benefit from this VILT course as it provides a common framework and workflow to develop a CCS project. For each class, it is highly recommended that a mix of disciplines mentioned above are represented to facilitate discussions from different perspectives. Course Level Basic or Foundation Training Methods This VILT course is built around cases in which teams work to identify and assess CO2 storage site issues using a systematic thought approach in this course. In addition, exercises are used to practise the aspects of the CCS risk assessment process. The VILT course provides a venue for discussion and sharing of good practices as well as opportunities to practise multi-discipline co-operation and facilitation. Participants are encouraged to bring their own work issues and challenges and seek advice from the expert course leaders and other participants about all aspects of CCS. This VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Trainer Trainer 1: Your expert course leader has more than 36 years of experience in the oil & gas industry with Shell. He gained broad experience in petroleum engineering, with expertise in integrated production systems from subsurface, wells and surface. He has had assignments in Production Technology, R&D, Production Chemistry, Rock Mechanics and Reservoir Engineering cEOR, with a proven track record in technology screening, development and deployment, field development planning, conceptual well design and Production System Optimization (PSO) of gas and oil fields as well as preparing Well, Reservoir & Facility Management (WRFM) strategies and plans. He had also worked on assignments in NAM and did fieldwork in Oman, Gabon and Shell Nigeria. He is a skilled workshop facilitator. He discovered his passion for teaching following an assignment in Shell Learning. During his time in Shell, he developed and taught technical courses to Shell professionals via blended learning. Trainer 2: Your second expert course leader has over 30 years of experience identifying, assessing and mitigating technical risks with Shell. The main focal point of his experience is in subsurface and Geomechanical risks. He is the the founding father of various innovations in how we assess risks by tool development (for bore hole stability, 3D geomechanical field evaluations and probabilistic assessment). He also developed an eye for people motivation, change management and facilitation. He was also responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for 10 years. Trainer 3: Your third expert course leader has more than 30 years of experience in Shell, focusing on research and development in drilling and offshore systems. His areas of expertise is in project management, finance, business planning, investment, development studies and economics models. In 2021, he worked on a project that looked into the economic evaluation of P18A field complex for CO2 storage. He has an MSc in Mechanical Engineering (M.E.) TU Delft Netherlands (Hons) and a baccalaureate from Erasmus University Rotterdam. 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

From exploring basic psychological phenomena like perception, memory, cognition, language, consciousness, and emotion to dissecting the latest advancements in brain imaging technology, this course offers a rapid deep dive into the intricacies of the human psyche. Gain a scientific understanding of the mind and behaviour while honing critical thinking skills essential for psychological inquiry.

NPORS Crane / Lift Supervisor (N405)