154 Driving courses in Garforth delivered Live Online

Are you struggling with a Data Governance issue and wish you had a team of other Data Governance professionals you could bounce it around with? You’ve done Data Governance training and you know what you’re focusing on. While your team is supportive, you spend a lot of time dealing with, and driving forward, culture change, managing stakeholders, and fielding questions from people who have their own priorities and now need to do this ‘Data Governance stuff’ on top. It would be nice, once in a while, to have a conversation about how to achieve something free from internal issues. You want to talk about best practices and get some alternative ideas. That’s what my Data Governance Mastermind gives you: space to reflect with the support of your peers and practical solutions you can implement.

'Motorcycle Skills - Improve your Riding in Eight Weeks' is an online distance learning e-course which will help motorcyclists improve their riding skills. It's suitable for intermediate and advanced riders.

Explore China’s growing influence in Africa through this in-depth course. Weekly themes blend history, trends, and analysis to unpack the economic, political, and social layers of this evolving relationship. Gain a nuanced view of its impact on Africa’s global role

Explore "International Security in a Changing World" through live online learning. Join expert-led sessions to understand global security dynamics, emerging threats, and strategic solutions in an interactive, real-time format. Enroll now to stay informed and engaged.

Explore China’s growing influence in Africa through this in-depth course. Weekly themes blend history, trends, and analysis to unpack the economic, political, and social layers of this evolving relationship. Gain a nuanced view of its impact on Africa’s global role

This two-day programme gives the key insights and understanding of contracting principles and the impact they have on business and operations. The course is designed for individuals involved in or supporting contracting who want to improve their commercial management skills; individuals in functions such as project management, business development, finance, operations who need practical training in commercial management; general audiences wanting to gain a basic understanding of commercial management. This is an assessed programme, leading to the International Association for Contracts & Commercial Management (IACCM)'s coveted Contract and Commercial Management Associate (CCMA) qualification. The programme addresses 31 different subject areas, across the five stages of the contracting process. By the end of the course the participants will be able, among other things, to: Develop robust contract plans, including scope of work and award strategies Conduct effective contracting activities, including ITT, RFP, negotiated outcomes Negotiate effectively with key stakeholders, making use of the key skills of persuading and influencing and to work with stakeholders to improve outcomes Set up and maintain contract management systems Take a proactive approach to managing contracts Make effective use of lessons learned to promote improvements from less than optimal outcomes, using appropriate templates Develop and monitor appropriate and robust Key Performance Indicators to manage the contractor and facilitate improved performance Understand the approvals process and how to develop and present robust propositions Make appropriate use of best practice contract management tools, techniques and templates DAY ONE 1 Introductions Aims Objectives Plan for the day 2 Commercial context Explaining the contracting context Define the key objective The importance of contact management Impact upon the business 3 Stakeholders How to undertake stakeholder mapping and analysis Shared vision concept, How to engage with HSE, Finance, Operations 4 Roles and responsibilities Exploring the key roles and responsibilities of contract administrators, HSE, Finance, Divisional managers, etc 5 Initiating the contract cycle Overview of the contracting cycle Requirement to tender Methods Rationale and exceptions 6 Specifications Developing robust scope of works Use of performance specifications Output based SOW 7 Strategy and award criteria Developing a robust contract strategy Award submissions/criteria 8 Managing the tender process Review the pre-qualification process Vendor registration rules and processes Creation of bidder lists Evaluation, short listing, and how to use of the 10Cs© model template and app 9 Types of contract Classify the different types of contracts Call-offs Framework agreement Price agreements Supply agreements 10 The contract I: price Understanding contract terms Methods of compensation Lump sum, unit price, cost plus, time and materials, alternative methods Cost plus a fee, target cost, gain share contracts Advanced payments Price escalation clauses DAY TWO 11 Risk How to manage risks Risk classification Mitigation of contractual risks 12 Contractor relationship management session Effectively managing relationships with contractors, Types of relationships Driving forces? Link between type of contract and style of relationship 13 Disputes Dealing with disputes Conflict resolution Negotiation Mediation Arbitration 14 Contract management Measuring and improving contract performance Using KPIs and SLAs Benchmarking Cost controls 15 The contract II: terms and conditions Contract terms and conditions Legal aspects Drafting special terms 16 Managing claims and variations How to manage contract and works variations orders Identifying the causes of variations Contractor claims process 17 Completion Contract close-out process Acceptance/completion Capture the learning/HSE Final payments, evaluation of performance 18 Close Review Final assessment

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

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Elite EA/PA Forum We are delighted to announce the Elite EA/PA Forum for the UK & Ireland will be on the 13th November 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: Monika Turner The Confident Assistant - Speak Up, Go After What You Want & Create The Future You Deserve: Develop practical strategies to negotiate workload, boundaries, and career growth with confidence. Learn assertive communication techniques to handle challenging conversations effectively. Build self-advocacy skills to articulate your value and influence outcomes in the workplace. Monika Turner Career Bio: Monika Anna Turner is an ICF-certified Leadership and Executive coach with over seven years of experience helping professionals unlock their confidence, elevate their voice, and lead with authenticity. Before stepping into coaching, she built a successful career as a Personal Assistant, Executive Assistant, and ultimately Chief Of Staff —giving her a deep understanding of the unique challenges and strengths of support roles. Originally from Poland, Monika knows firsthand what it’s like to question your voice and your value—especially in a second language. Her journey from self-doubt to self-assurance informs everything she does today. Through her coaching, she empowers assistants and leaders alike to move beyond fear, speak up and create fulfilling careers they’re proud of. Panel Fabiana Goncalves Executive Assistant to Global VP PerfectDraft & PerfectDraft Commercial Director An accomplished C-Suite Executive & Personal Assistant, I bring over a decade of experience supporting top-level leadership—including CEOs, Founders, and Executive Teams—across multinational and national organizations. I specialize in executive support that goes far beyond calendar management, contributing as a strategic partner in decision-making, operations, and leadership effectiveness. Known for my discretion, diplomacy, and operational precision, I help executives stay focused on what matters most—by anticipating needs, managing complexity, and driving efficiency in both corporate and personal domains. I bring a strategic lens to every task, balancing immediate priorities with long-term objectives. With a proactive mindset, sharp judgment, and strong communication skills, I serve as a trusted advisor and problem-solver in fast-paced, high-stakes environments. Rebecca Polson Executive Support Manager to the Chief Executive An award-winning Executive Assistant with over 10 years’ experience across the higher education, charity, private, and public sectors. Currently Executive Support Manager to the Chief Executive at Alzheimer’s Research UK, she provides high-level support in the fast-paced, mission-driven environment of the largest dementia research charity in the UK. Her previous roles include supporting senior leaders at the Natural History Museum, the Incorporated Society of Musicians, and the Royal College of Music. She brings expertise in executive support, governance, stakeholder engagement, and complex diary and project management. Named PA of the Year in 2023 and a finalist in the SecsintheCity PA of the Year Awards, she is known for her professionalism, discretion, and ability to stay ahead of the needs of the people and organisations she supports. Ola Boddington Senior Executive Assistant As a seasoned Executive Assistant, she has honed her skills in management and project planning over the years. She has worked with various organisations, including Zoa, Signal AI, and ConsenSys, where she provided high-level administrative support to senior executives. Her expertise lies in managing complex schedules, coordinating travel arrangements, and ensuring seamless communication among team members. She is also proficient in using various software tools to streamline workflows and enhance productivity. She is passionate about delivering exceptional service and contributing to the success of the teams she works with. Claudine Martin Senior Executive Assistant Claudine is a highly skilled Senior Executive Assistant, currently supporting the Head of BNY Pershing EMEA. With a distinguished career spanning nearly 17 years in the British Army, Claudine retired in 2023 at the rank of Staff Sergeant, bringing a wealth of experience in high-pressure environments and strategic operations to her current role. Throughout her military career, Claudine specialised in Human Resources, and served as the Personal Assistant to the Army Director of Engagement and Communication at the Ministry of Defence. In this capacity, she played a pivotal role in the planning and execution of significant events and initiatives, showcasing her exceptional organisational skills and attention to detail. Her dedication and professionalism were recognised when she was awarded PA of the Year in 2019 by PA Life. An advocate for the Executive Assistant profession, Claudine is also a sought-after public speaker. She regularly shares her insights at industry events, including the PA Show, and serves as an advisory board member, contributing to the ongoing development and recognition of the profession. Claudine is passionate about empowering others and has previously mentored young people through the Diana Award, a programme established in honour of Princess Diana to support disadvantaged youth. Additionally, she has participated in Fast Forward 15, a mentoring initiative aimed at women aspiring to build careers in events, hospitality, or related industries. With her extensive experience, dedication to excellence, and commitment to mentorship, Claudine continues to make a significant impact in her field and inspire the next generation of leaders. She proudly represented the UK at the Invictus Games 2023, showcasing her unwavering determination and unwavering spirit. In her spare time, Claudine enjoys park run and writing poems. The Importance of Becoming a Strategic Advisor Learn how to shift from reactive to proactive. Develop the mindset and behaviours of a strategic advisor. Understand how to add value beyond your job description. 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. 🔑 Media outlets/organisations will not be permitted to attend this event.