1729 AI courses in London delivered Live Online

Course Duration: Half-day or full-day (can also be delivered as a 3-part virtual workshop series) Target Audience: Professionals in non-technical roles (e.g. executive assistants, HR, marketing, project managers, operations staff, trainers, and admin support) who want to use generative AI to enhance their work—without needing coding skills. Course Objectives By the end of this course, participants will be able to: Understand what generative AI is and how it works in plain language. Identify use cases relevant to their role or industry. Use popular generative AI tools (like ChatGPT, Gemini, and Copilot) confidently. Write effective prompts to get better, more relevant results. Apply AI ethically and responsibly in the workplace. Course Outline Module 1: Demystifying Generative AI What is generative AI? (Plain language explanation) How AI models like ChatGPT, Copilot, and Gemini work Examples of what generative AI can (and can’t) do Myths, risks, and benefits of AI in non-tech roles Module 2: Everyday Use Cases for Professionals Time-saving applications: Drafting emails, reports, meeting summaries Creating checklists, plans, or SOPs Enhancing creativity: Brainstorming ideas for events, campaigns, or training Writing social media posts, newsletters, or job ads Organising information: Summarising documents Structuring spreadsheets or creating templates Supporting communication: Improving tone and clarity Translating or simplifying content Module 3: Prompting Essentials What is a “prompt” and why does it matter? How to write clear, specific, and effective prompts Prompting frameworks (e.g., “Role–Task–Goal” method) Live practice: transforming a vague prompt into a powerful one Troubleshooting: when AI gives poor answers and how to improve them Module 4: Hands-On Exploration Try-it-yourself exercises using ChatGPT or Gemini (guided) Real workplace examples and team challenges Create an AI-generated email, checklist, or idea list Optional: use industry-specific examples (e.g., HR, admin, events, comms) Module 5: Responsible AI Use at Work Understanding AI limitations and biases Protecting privacy and sensitive data When not to use AI Workplace policies and guidelines (customisable for your organisation) Ethical use: attribution, transparency, and human review Module 6: Getting Started in Your Role Tools overview: free vs paid options (ChatGPT, Microsoft Copilot, Gemini) Building your own AI toolkit Tips for staying up to date as tools evolve 30-day challenge: how to build AI into your daily workflow Delivery Style Highly interactive, practical, and low-jargon No coding or tech background required Hands-on demos, guided practice, and scenario-based activities Group discussion and peer learning Course Materials Provided Quick-start guide: Top 10 prompts for non-tech roles AI Prompt Library for your job type Do’s and Don’ts for ethical use of AI at work “AI in Action” workbook with examples and checklists Personal AI Action Plan Optional Add-ons Team-based AI hackathon (mini workplace challenge) Tailored follow-up webinar for Q&A and deeper use cases Co-branded playbook for organisational AI use Integration with digital transformation or innovation initiatives

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Data modelling and visualisation skills are in demand! Create Interactive Reports and Dashboards.

Who is this Course for? Unity 3D Game Design Masterclass. Unity serves as top development engine for both 2D and 3D games and experiences. With its support for VR, AR, and AI, it extends its level beyond gaming to pre-visualization for films and architectural visualization. This training provides you with the fundamental skills to craft immersive virtual worlds. Click here for more info: Website Duration: 10 hours Approach: 1on1 Sessions. Create your own schedule by booking a convenient hour between 9 am and 7 pm, Mon to Sat 10-Hour Unity 3D Game Design Training Course: Module 1: Introduction to Unity 3D (2 hours) Explore the fundamentals of Unity 3D and its relevance in game design. Familiarize yourself with the Unity 3D interface, project creation, and asset management. Understand game objects, components, and their management within Unity 3D. Module 2: Game Mechanics (2 hours) Grasp basic game concepts, player movement, and camera control. Master the creation, control, and interaction of game objects. Learn about physics, collision detection, and interactive environment design. Module 3: Scripting with C# (2 hours) Dive into the C# scripting language, covering variables, data types, and functions. Control game objects using C# and understand game loops and events. Module 4: User Interfaces and Audio (2 hours) Design intuitive user interfaces and incorporate elements like buttons and sliders. Gain expertise in audio import, editing, and managing game sound effects and background music. Module 5: Optimization and Deployment (2 hours) Master game optimization techniques, including performance enhancement through scripting. Build, test, and deploy games for various platforms, including desktop, mobile, and web. Course Highlights: Introduction to Unity: Understand the gaming landscape and Unity's essential components. Game Development Basics: Learn project creation, geometry and texture importing, terrain generation, and primitive object creation. Materials and Lighting: Explore material manipulation, lighting creation, and animation adjustments. Audio Integration: Add, modify, and interact with game sounds. Programming Tools: Gain familiarity with programming using JavaScript, including variables, functions, and simple programming. Testing and Debugging: Rigorous game testing, bug fixing, and iterative development processes. Game Building: Configure game authoring settings, build games for Windows, and test the final product. Unity Pro Integration: For this training, utilize Unity Pro, a cutting-edge development platform enabling the creation of 3D, 2D, VR, and AR experiences across diverse industries, including gaming, automotive, AEC, and film. Start your Unity Pro journey at Unity's official website. With Unity Pro, accelerate development, enhance iteration speed, and expand your business, creating remarkable games and immersive experiences supported across multiple platforms. Learning Outcomes: Unity Proficiency: Master Unity 3D essentials, including game mechanics, C# scripting, UI design, and audio integration. Optimization and Deployment: Learn to optimize games for high performance and successfully deploy them across various platforms. Effective Testing: Develop strong testing and debugging skills for efficient game development. Useful Websites: Unity Learn: Access tutorials, courses, and projects for in-depth learning. Unity Asset Store: Explore a vast library of assets, scripts, and tools for game enhancement. Unity Forums: Engage with the community, ask questions, and share knowledge with fellow developers. GitHub: Collaborate on Unity projects and access shared resources for collaborative development. Gamasutra: Stay updated with industry trends, news, and valuable insights into game development. Download Unity Software Key Details for This Course: 1. Ideal for Beginners: Learn game development with Unity, perfect for beginners. Its user-friendly interface and intuitive design make it accessible for newcomers. Dive into state logic and C# programming, building a strong foundation for 3D game development. 2. Coding Flexibility: Unity offers flexibility with coding. Explore visual scripting using Bolt, enabling idea implementation through flow graphs and state graphs, suitable for both low-level and high-level logic. Advanced users can delve into tools like PlayMaker and Adventure Creator for intricate gameplay and AI behaviors. 3. Understanding Unity's Engine: Gain insights into Unity's engine workings. Explore its role as a dynamic scene player, initializing graphics, audio, and input settings at game start. Understand scene loading, asset integration, and the seamless execution of physics simulations and events, ensuring a smooth gaming experience. Course Benefits: Comprehensive Training: Master Unity 3D for creating engaging games across platforms. Interactive Learning: Engage in live online sessions for real-time feedback and collaboration. Hands-On Experience: Apply skills through practical projects, building a strong portfolio. Flexibility: Choose between live online or in-person sessions, with recorded materials for review. Ongoing Support: Enjoy lifetime email assistance for any challenges you face even after the course. Certification: Receive an industry-recognized certification, enhancing your game development career prospects.

Introducing the Dating Profile Consultant Package: Expert Guidance for an Outstanding Online Dating Presence Are you looking to maximize the impact of your online dating profile and improve your chances of connecting with compatible matches? Miss Date Doctor’s Dating Profile Consultant Package offers you personalized support and insights from experienced consultants who specialize in optimizing online dating profiles. Crafting an effective online dating profile requires a strategic approach and understanding of what resonates with potential matches. Our dedicated dating profile consultants are here to assist you in creating a profile that showcases your unique qualities and attracts genuine connections. Here’s how the Dating Profile Consultant Package can support you: Personalized Evaluation: Our dating profile consultants will conduct a thorough evaluation to understand your personality, preferences, and dating objectives. Strategic Profile Enhancement: We’ll collaborate with you to strategically enhance your profile text, photos, and overall presentation. Photo Selection and Arrangement: Our experts will guide you in selecting and arranging photos that project a genuine and appealing image. Compelling Bio Creation: We’ll assist you in creating a compelling and authentic bio that piques the interest of potential matches. Showcasing Your Uniqueness: Our consultants will work with you to emphasize your unique qualities and values that make you stand out. Initiating Engaging Conversations: We’ll provide insights into starting conversations and maintaining engaging communication with your matches. Boosting Self-Confidence: The Dating Profile Consultant Package aims to boost your confidence by helping you create a polished and attractive profile. Attracting Compatible Matches: We’ll focus on attracting matches who align with your dating preferences and aspirations. The Dating Profile Consultant Package at Miss Date Doctor is designed to empower you with a refined and attention-grabbing online dating profile. Our experienced dating profile consultants offer personalized guidance and practical tips to help you make a lasting impression in the online dating world. Invest in your online dating success and take the first step towards an optimized dating profile with the Dating Profile Consultant Package. Embrace the opportunity to present your best self and attract matches that resonate with your personality and interests. Let our consultants guide you towards an elevated online dating experience filled with meaningful connections. 15 pictures AI approved dating app high standard excellence photos 4×1 hour sessions https://relationshipsmdd.com/product/dating-profile-consultant/

This one day online course will assist candidates in preparing for the forthcoming initial Senior Caseworker exam.

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

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: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? 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

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

Elite EA/PA Forum We are delighted to announce that the Elite EA/PA Forum for Australia & New Zealand will be on the 25th of September 2025. Our workshop aims to: Enhance your influence and impact by mastering assertive communication, negotiation, and self-advocacy skills. Stay composed and solution-focused in high-pressure situations with practical tools for crisis management and clear decision-making. Embrace evolving technology by understanding how AI and automation can streamline your role and boost efficiency. Future-proof your career by building strategic value, resilience, and adaptability in an ever-changing professional landscape. Keynote Address with Q&A from the audience: What to expect from Sam's Keynote: With over 30 years supporting leaders at the highest levels, Sam Cohen brings a wealth of insight, experience, and stories (the kind she can share) to the stage. From 18 years serving within The Royal Household - including as Deputy Private Secretary and Press Secretary to Her late Majesty Queen Elizabeth II - to working with The Duke and Duchess of Sussex, running the Prime Minister’s Office at Downing Street, and serving as Chief of Staff to the global CEO of Rio Tinto, Sam’s career is a masterclass in discretion, diplomacy, and delivering at the top. In this exclusive keynote, Beyond the Role, Sam will explore how Executive Assistants don’t just support leaders - they shape leadership, drive strategy, and build legacy from behind the scenes. Join us for this rare opportunity to hear from someone who’s been at the epicentre of power - and bring your questions! The keynote will include a live Q&A, where you can ask Sam about her remarkable career, leadership insights, and how to truly excel in high-performance environments. (Don’t ask her what the Queen kept in her handbag - she’s not telling.) Sam Cohen Career Bio: Sam Cohen has spent the last 30 years working to support leaders in the public and private sectors. Sam spent 18 years serving The Royal Household, as Deputy Private Secretary to Her late Majesty Queen Elizabeth II and Press Secretary to The Queen. Sam also served as Private Secretary to The Duke and Duchess of Sussex. Following this time, Sam worked as Director of the Prime Minister’s Office at Downing Street under Boris Johnson and, most recently, was Chief of Staff to the global CEO at Rio Tinto. Source: ABC News - YouTube Channel. Facilitator - AM: The Future-Proofed Assistant: Speak Up, Stand Out & Shape Your Career Path How to reimagine your Assistant role in 2025 and beyond - How the EA role is evolving (and what Executives now expect) & why Assistants who think like strategists will be indispensable Assertiveness as an Assistant – The key to retaining your role & the difference between being ‘helpful’ and being ‘heard’ Self-Advocacy as a Career Growth Strategy – The importance of advocating for your career development, workload boundaries and recognition Own Your Professional Future - Map your career development. Whether you're an EA for life or looking to a role beyond in the future, this is for you. Ruth Kilah Career Bio: Ruth is an international executive career coach and founder of Hoxton Hyde – Executive Career Coaching & Mentoring, delivering 1:1 and group programs for experienced Executive Assistants. She specialises in helping EAs step into higher-level roles, increase their income, and expand their professional impact. With 14 years’ experience supporting C-suite executives in Australia and the UK, Ruth brings deep industry insight and a strategic approach to career development. She empowers Assistants to gain clarity on their next move, adopt a strategic mindset, communicate their value effectively, and lead their own growth conversations with confidence. A former EA turned Stakeholder Relations and Project Manager, Ruth launched Hoxton Hyde in 2018 after spotting a clear gap in the market for tailored coaching for career-driven EAs. She is a recognised member of the World Administrators Alliance and a respected thought leader in the EA space, regularly sharing insights via LinkedIn and Instagram. Ruth is also a certified fitness and wellness coach, passionate about helping Assistants achieve long-term career fulfilment through intentional development and well-being. Panel: Crisis Mode: What to do when everything goes wrong Master a step-by-step approach to prioritising and problem-solving under pressure. Strengthen emotional resilience and calm decision-making during unexpected disruptions. Learn how to communicate clearly and lead from behind in high-stress situations. Emma-Kate Bos Bio Emma-Kate works alongside the CEO at Squadron Energy, one of Australia’s leading renewable energy companies. With over 28 years of experience in Executive Assistant and Operational roles supporting business leaders in professional services, politics, membership industries, sporting and not-for-profit organisations, Emma-Kate has a deep understanding of business support roles and has managed large teams of assistants and receptionists. She is passionate about developing and mentoring team members Emma-Kate holds an Associate Degree in Law, Mini MBA and Certificate in Public Relations. Sepi Nowlands Sepi has also worked as an EO for Deloitte and spent 18 years previously as an Executive Assistant at the ATO, Law Council of Australia, Grains Research and Development Corporation and Air Services Australia. Holly Clareburt Hollie Clareburt is an experienced Executive Assistant, currently supporting the Managing Director of Microsoft New Zealand and the Chief Partner Officer. Known for her professionalism and discretion, she excels in providing high-level support in fast-paced, executive environments. Prior to Microsoft, Hollie was Executive Assistant to the Chief of Corporate & Enterprise Systems at BECA, and previously supported the CEO at SKY News New Zealand. Her career reflects a strong track record of reliability, organisation, and executive partnership. Facilitator - PM: Justin Kabbani AI Is Not Here to Replace You. It's Here to Upgrade You. We'll explore Justin's proven 3P framework: Priming – How to set up AI like a strategic advisor by feeding it context, tone and mindset Prompting – How to craft clear, structured instructions to get consistently great results Producing – How to turn AI outputs into high-leverage work that makes you stand out Your session outcomes: Real examples from admin professionals already using AI to elevate their work Prompts you can copy, adapt, and test live Interactive exercises to build confidence fast A practical challenge to implement right after the session If you’ve been overwhelmed by AI, or underwhelmed by its impact, this session will change that. You'll leave with tools you can use today, and a mindset you’ll carry forward for the rest of your career. Justin Kabbani Career Bio: Justin Kabbani is one of Australia’s most in-demand AI trainers and keynote speakers, known for making AI feel simple, powerful, and immediately useful. He’s worked with brands like Uber, Treasury Wine Estates, and Udemy, helping their teams embed AI into daily workflows, strategic planning, and executive communication. Over the past two years, Justin has trained more than 2,000 professionals across Australia and beyond, consistently earning feedback like “mind-blowing,” and “game-changing”. His signature Prime, Prompt, Produce framework has transformed how business leaders, executive assistants, marketers, and teams think, work, and communicate with AI, without needing to be “tech people.” Justin believes AI isn’t here to replace people. It’s here to take the robotic work off our plate, so we can focus on what humans do best. LinkedIn: https://www.linkedin.com/in/justinkabbani/ Website: https://justinkabbani.com/ Speed Connections Networking Session Join us for Speed Connections, a lively 30-minute networking session designed to foster meaningful connections in a fun, fast-paced environment. Every 10 minutes, attendees will be placed into new breakout rooms with small groups, giving everyone the chance to meet a diverse range of peers. Each breakout session will feature engaging prompts to spark conversations and make networking enjoyable and memorable! Who will attend this event? Executive Assistant (EA) Personal Assistant (PA) Virtual Assistant (VA) Legal Secretary Legal Executive Assistant Administrative Assistant Office Manager Health Care Office Manager Chief of Staff Additional roles may be relevant depending on role responsibilities, along with development opportunities. This workshop is open to females, male including trans women/males and non-binary professionals. Group Rate Discounts: To discuss our group rates in more detail, please email support@elite-forums.com and provide the following: Group Number (How many would like to attend) Event Date (If numerous dates, please advise if we are splitting attendees across multiple dates) Attendee Contact details (Or request our Group Rate Document. Complete and return - we'll sort the rest.) Group discounts are on request - see below group rate discount brackets: 🧩 You just need one piece to come together - to unlock your Elite Potential. 🔑