584 AI courses in Manchester

Aspire Consulting and Training Ltd is indisputably at the forefront of Transformative Coachingworldwide. We have a commitment to prepare individuals as coaches to achieve sustainable change for the people around them, so that they are being developed and supporting many types of growth. Achieved through a process of heightening awareness and deepening learning, this differs from other coaching methodologies that employ a tactical or remedial approach more useful in trouble-shooting and problem solving.   As people pursue coach training, they want a program with high standard, proven methodology and worldwide recognition. The TAP-C™ Model is a globally delivered program that enhances professional coaching industry standards. Our certification training program offers a fresh, leading edge approach to enable authentic and deliberate change.   We offer the ultimate solution to maximise human capital. Businesses are expecting their managers to devote an ever-increasing portion of their time to coach others and this is a trend that will only continue to expand. The challenges have never been greater for achieving results through people, and coaching will remain a vital leadership skill for the decades to come. A proven strategy for creating sustained growth, coaching enables superior performance of individuals, teams, and whole organisations.    The TAP-C™ Model is not just a new methodology or trend; it is more of a tool that drives a positive change. It helps people gain clarifications through meaningful conversations. It promotes learning by stimulating people to think through about their situation and urges them to take initiatives. Coaching is all about making people realise what needs to be modified and offer them appropriate support to bring about a change.    "Coaching is about influencing individuals to make conscious, empowered decisions to become leaders in their own lives. It is a process that occurs in a special conversation that enables learning and development and thus improves performance. It is a way of working with people that leaves them more competent and more fulfilled so that they are more able to contribute and find meaning in what they are doing."   Jay Acharya   The TAP-C™ Model incorporates a blend of coaching, mentoring and counselling, that, although considered different, share some key characteristics and skills to always support positive outcomes.    Coaching involves the belief that the individual has the answers to their own problems within, and need the focus to unlock their own potential.  Mentoring is like coaching, with a general agreement that a mentor can partner in some way to help expedite any decision making.  Counselling is closer to a therapeutic intervention. Focusing on past situations and identify ways to overcome barriers, that may be internal or external.   Our TAP-C™ Model therefore truly incorporates what we know to be an Influencing and Empowered approach to Coaching in the following way: We will explore the supporting principles of a coach and the guiding principles of a mentor, by using practical methods to help you become more effective and confident.    The purpose of this training to improve your performance at the same time of improving other abilities and create a cultured and productive working atmosphere. The core objective of the course is to enable you to set and achieve organisational, departmental and personal goals, by communicating clearly with their teams, managing time more effectively and prioritising work so that achieving an organisational strategy is more of a fluid approach.   Aims and Objectives                             The sessions focus on the theoretical aspects of empowering people in an organisation, by increasing the awareness of current competencies and abilities. The programme will meet all the objectives outlined below: * Gain a greater understanding of organisational activities * How the TAP-C™ Model can be used to develop a person and a team * Establish how to know when to be a coach, mentor and councillor * The behaviour’s of being a confident coach * How to help a person recognise their strengths and developmental areas  * How to create and develop an empowered structured organisation

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.

Module 8 This module aims to develop knowledge from research activities to gain an understanding of international trade using Marketing , Social Media and how AI plays a role in International Marketing Agenda * Marketing * Reaching new Global opportunities * Understanding Cultural differences in International Marketing * Social Media * The role and how to implement good practice. * Digital Trade * Using AI as a digital Marketing Platform   Examination: Certificate on completion and Pass on Multiple Choice Multiple choice questionnaire Credits: 1

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

One-Day Course 10am - 4pm Updated Jan 2023 (Working Together to Safeguard Children (Jan 2021 Updated) & Keeping Children Safe in Education (2022)) This Course can also be run within your organisation for your staff group at a reduced rate, contact us for a quote or if you have any other questions about this course talk to an adviser now online: Online Live Customer Adviser What is the course about? This course will help you and your staff become familiar with the role and responsibilities of the designated safeguarding lead in your organisation. It will develop both your competence and confidence in carrying out the role of Designated Safeguarding Lead (DSL). Formally known as Level 3

This introduction course is aimed at those involved in the importing of goods. The course will cover import documentation and procedures, commercial considerations, the importance of your purchase order, calculating VAT and duty, and how to reduce import customs clearance delays. Incoterms® and their impact on importing will be shown, along with an introduction to duty regimes to help importers. Course Contents: * Import documentation and procedures * Calculating VAT and duty * Incoterms® * Customs regimes and import controls * Changes coming in January 2021 * Sources of help and advice   Who should attend? This introduction course is suitable for administrators, managers, directors, and owners of businesses who need to purchase from overseas. The course is valuable for both newcomers wanting an introduction and overview, and experienced staff needing a refresher on current requirements. It will also be valuable for companies who are already importing so they can ensure they have the correct processes in place and are meeting their compliance obligations. Please note: If you are working towards your British Chamber of Commerce (BCC) Foundation Award, this course will count towards 1 of your 6 modules. Please make sure you select the ‘Yes’ option in the dropdown option for BCC when booking.