515 AI courses in Liverpool

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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.

ChatGPT, along with other AI tools, aims not to replace the human touch in management, but to enhance it. By addressing repetitive, daily tasks, these tools free up managers to concentrate on core responsibilities like strategic decision-making, team development, and innovation. As we move further into the digital age, integrating tools such as ChatGPT isn't a luxury; it's the future of proactive leadership. In this guide, we'll delve into 10 practical ways through which AI can elevate your efficiency and refine the quality of your work. * Gain familiarity with prominent AI tools in the market * Efficiently compose and respond to emails * Generate concise summaries of complex reports and data. * Obtain quick insights, data, and research across varied topics * Streamline the writing of articles, training notes, and posts * Craft interview tests, form relevant questions, and design checklists for the hiring process 1 STREAMLINING EMAILS An inbox can be a goldmine of information but also a significant time drain for managers. Here's how to optimise it: * Drafting responses: Give the AI a brief, and watch it craft a well-structured response. * Sorting and prioritising: By employing user-defined rules and keywords, ChatGPT can flag important emails, ensuring no vital communication slips through the cracks. 2 EFFICIENT REPORT WRITING Reports, especially routine ones, can be time-intensive. Here's a smarter approach: * Automate content: Supply key data points to the AI, and let it weave them into an insightful report. * Proofreading: Lean on ChatGPT for grammar checks and consistency, ensuring each report remains crisp and error-free. 3 RAPID RESEARCH From competitor insights to market trends, research is a pivotal part of management. * Data synthesis: Feed raw data to the AI and receive succinct summaries in return. * Question-answering: Pose specific questions about a dataset to ChatGPT and extract swift insights without diving deep into the entire content. 4 REINVENTING RECRUITMENT Hiring can be a lengthy process. Here's how to make it more efficient: * Resume screening: Equip the AI to spot keywords and qualifications, ensuring that only the most fitting candidates are shortlisted. * Preliminary interviews: Leverage ChatGPT for the initial rounds of interviews by framing critical questions and evaluating the responses. 5 ENHANCING TRAINING Especially for extensive teams, training can be a monumental task. Here's how ChatGPT can assist: * Customised content: Inform the AI of your training goals, and it will draft tailored content suitable for various roles. * PowerPoint design: Create visually appealing slide presentations on any topic in minimal time.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

OVERVIEW Appreciative Inquiry is a form of action research that collects people’s stories of best practices.  We can use these best practices as a way to initiate organisational change. This course will guide attendees through the process of Appreciative Inquiry (AI) and give them the techniques to succeed in using the AI system. This course will benefit anyone that leads change and wants to create positive dialogue that leads to improvements within their organisation. DESCRIPTION David Cooperrider, Suresh Srivastva, and their colleagues at Case Western Reserve University developed AI in the 1980s. According to them, the aim of Appreciative Inquiry is to help the organisation in: * Envisioning a collectively desired future * Realising that vision in ways that successfully translate intention into reality and beliefs into practices The AI approach can be applied in almost all groups of people and once the process starts, the change is put in motion. The appreciative approach works in individual conversations among colleagues, managers and employees. AI consultants around the world are increasingly using an appreciative approach to bring about collaborative and strengths-based change. This course will provide attendees with the means to effectively develop the skills of managers for the benefit of their organisation. They will be taken through the full process of appreciative inquiry; developing a wide understanding of the tools and techniques required to effectively improve communication and affect change. What can Appreciative Inquiry achieve? Well, just imagine you were better able to: * Solve problems within an organisation in a positive and forward-thinking way. * Be more curious and excited about the challenges faced within the business. * Ask unconditional, positive questions to strengthen the organisations capacity to increase potential. * Approach change in an affirmative mindset. * Use questions to create movement and change within the company. * Simply apply core communication skills, for overall organisational success Topics covered: * What is Appreciative Inquiry? – A review of the subject with an activity that helps embed understanding and a case study that explains the process in action. * Benefits of Appreciative Inquiry to the Organisation – Establishing how AI can aid and improve the way an organisation works and how people communicate within it. Exploring how specific organisational issues can be viewed positively. * Appreciative Inquiry Questions – Understanding how questions can be used to identify positive organisational improvements and refocus our approach to business issues. * Appreciative Inquiry Interviews – A set process for performing AI interviews and framing consultations to get the best out of those involved. A chance to practice the given approach and hone personal skills. * The 4D Model – An overview of the AI 4D Model (Discovery, Dream, Design, Destiny) and how it is applied. * The 4D Model: Topic – Demonstrating how selecting the topic is the beginning of the 4D model process. Choosing the participants own topic to work on throughout the training. * The 4D Model: Discovery – Showing how positive discussions are kick-started at this stage and taking a chance to look at, ‘the best there is and what has been’. * The 4D Model: Dream – ‘Thinking big and beyond what they have in the past’. Creating an amazing and positive vision for the future. * The 4D Model: Design – Laying the foundation with a design of the vision, principles, and set of propositions that describe the ideal end state. Defining the desired state by creating a hierarchy and blueprint for success. * The 4D Model: Destiny – Defining clear actions that will help the organisation and individuals achieve what they have set out to. The output is the self-reinforcing nature of using positive and affirmative inquiry to improve the business. * The 4D Model: Summary Task – Review of learning and knowledge check. * The Change Process – Exploring Dr. Kotter’s 8-step change process and how it can support the AI approach. * Rooms of Change – Understanding feelings and attitudes to change, using this interesting and memorable model. Using an activity to help participants consider their own ‘change position’ and what this might mean for them. * Strategies for Managing Change – A simple set of skills to help overcome the challenges faced by people trying to implement change. Applying these strategies to the 4D Model and Appreciative Inquiry. * Recall Quiz – A chance to review learning in an engaging way. * Summary – Developing actions and key points to take away. WHO SHOULD ATTEND Managers who want to learn about and practice the Appreciative Inquiry approach to drive positive changes. REQUIREMENTS FOR ATTENDEES None.

ABOUT THIS VIRTUAL INSTRUCTOR LED TRAINING (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: * Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. * Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. * Understand and analyze energy performance from main renewable energy systems. * Get equipped on the insights into forecasting models for solar energy. * Predict solar generation from weather forecasts using machine learning. * Explore operational aspects of a complex power system with variability from both the supply & demand sides. * Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: * Energy aggregators who would like to understand the system operations of renewable energy power plants * Renewable energy power system operator * Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level * Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours 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

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

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 VIRTUAL INSTRUCTOR LED TRAINING (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: 1. Why place more focus on data assets? 2. Is data management just about serving geoscientists or engineers with fresh data? 3. What is the value of data management in the E&P sector for decision making? 4. How to convince the data consumers that the data we provide is reliable? 5. Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: * Understand why the data asset is now considered as a main asset by energy organizations * Appreciate the importance of data governance and become an active stakeholder of it * Understand the architecture and implementation of data structure in their professional environment * Get familiarized with the more important data management activities such as data security and data quality * Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: * All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants * A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives * A detailed reference manual * A lexicon of terms for data-management * Limited class size to encourage the interactivity Target Audience This VILT course is intended for: * Junior/new data managers * Geoscientists * Reservoir engineers * Producers * Maintenance specialists * Construction specialists * Human resources * Legal Course Level * Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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

Transform your photos into stunning images with Adobe Lightroom! With our comprehensive one-to-one Lightroom course, you will learn how to edit and enhance your images like a pro. From basic adjustments to advanced techniques, you'll discover how to make your photos pop and create a signature style for your website, social media or printed materials. Enrol now and unlock your creative potential! [paul@northwestschoolofphotography.com?subject=Lightroom%20Course] You will learn about: Library module Image import Collections Effective image organisation Image export (different sizes and resolutions for uses such as printing, Facebook etc) Develop module Fix image problems (e.g. under/over exposure, colour temperature, noise etc) Enhance your images (sharpness, clarity, contrast, colour etc) Using AI masking The important stuff The price for a four-hour course is £300 We will come to you at your office or home