2874 Learning courses in Coventry delivered Live Online

GDPR Practitioner

Women in Banking Leadership Workshop Workshop Overview: Unleash your potential - The Banking and Financial Services industry is a constantly changing sphere that calls for emerging leaders to adapt and grow in order to thrive and succeed. Often those wanting to take the next step in the field find it hard to see their full value and potential, slowing their progress in a world full of opportunities. Emerging leaders will need to understand their professional values and know how to cultivate a growth mindset to stand out and fulfil their career desires.  This interactive virtual workshop will provide emerging leaders within the field the skills to understand the strengths that they are able to bring to the corporate table to confidently unleash their potential. It will particularly benefit those who aspire to move beyond early management to broader leadership roles. Kat will guide attendees to unlock their potential through releasing self-doubt, connecting to their unique contribution and forming a confident, strategic leader that will drive an organisation to success. Our Aims for the Workshop: Navigate key challenges and change in fast-paced work-places Understand the value of embracing complexity, uncertainty and diversity Negotiate diversity and inclusion biases, enablers and blocker Topic 1 Define your leadership style What are the capabilities, attributes and skills of an influential leader? What is your unique contribution? Is this congruent with your personal brand? Align your leadership strengths and values with the expectations and culture of your organisation. Topic 2 Leading with Emotional Intelligence (EQ) Understand your EQ and its impact on the way you are perceived as a leader Leverage your EQ in the workplace both in person and online Embrace qualities of empathy and authenticity to become a better leader Topic 3 Interactive Panel Q&A Discussion: Open Q&A with Senior Female leaders within the banking sector. Please see below the panel and biographies of each panellist. Topic 4 How to be known as a strategic leader Understand the uplevel from management to leadership and how to articulate your strategy How to translate broad leadership tools and tactics into practical, personalised results Move from transactional to transformational leadership Topic 5 Strengthen your resilience and resolve What is stress and how do you “show-up” on a bad day? Bounce back from challenging situations and predicaments Effectively manage conflict and turn negativity into an opportunity Who will attend? Emerging Leaders looking to step into management roles Current Leaders looking to progress into senior management roles This workshop is open to any woman who works in the banking sector that wants to take her next step in their career; women include trans women and non-binary people who are comfortable in a female-centred group. Group Rate Discounts 2-3 people, 7% discount 4+ people, 20% discount We have two group rates which you can take advantage of depending on the size of the group you wish to book: Option 1️⃣ Groups between 2 & 3 are eligible for the 7% Discount. Please use this code at checkout: GROUP 2+  Option 2️⃣ For groups of over 4+ attendees, the eligible discount is 20%. Please use this code at checkout: GROUP 4+  Where do I add the discount code?  Your Facilitator Kat Hutchings Kat coaches Executives and senior leaders in scale businesses to develop their leadership capability, build high-performing teams and create a culture that motivates and delivers. She works with them to identify their unique contribution and lead in a way that's aligned with who they are. Clients that work with Kat connect to their sense of purpose and how they contribute to the organisation. This creates a ripple effect through their team as they step into more powerful and impactful leadership. Kat coaches for insight - because a single insight can inspire action that changes everything.  Client outcomes include improved sales performance, successful delivery of change & transformation programmes and greater employee engagement & wellbeing.  Kat is an accredited Professional Executive Coach with the Association for Coaching and a Master NLP Practitioner. She has studied neuroscience, mindfulness and resilience, often bringing these insights to her coaching and training.  Combined with her experience as a leader in Financial Services, Kat’s clients find her to be commercially minded, knowledgeable and positively challenging. Her background as a corporate banker means Kat is quickly able to understand the context, including a firm’s strategy, vision and drivers. As a former Head of Coaching for the London & South East region of a FTSE 100 organisation, Kat is also well versed in leadership development programmes – their design, delivery and embedding through coaching. Outside of her coaching work, Kat spends lots of time with her husband and 2 young children. She enjoys trying different wines, talking to interesting people, having new experiences and buying flowers. THE PANEL The final panel is coming soon ⏳

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

Unveil Africa’s political future: Dive into colonial legacies, state-building challenges, democratization efforts, the African Union’s influence, and emerging great power rivalries. Discover sharp, insightful takes on contemporary African politics.

Identifying learning and training needs, designing and sourcing training and learning solutions, delivering and evaluating training.

ISO 7101 Healthcare Quality Management System Lead Auditor Course provides participants with the knowledge and skills necessary to lead audits of quality management systems within healthcare organizations. This comprehensive training program covers the principles, processes, and practices of auditing healthcare quality management systems, focusing on key standards and regulations applicable to the healthcare industry.

The aim of this 1-hour session is to increase your understanding of neurodiversity and to learn how to properly support neurodiverse individuals in the workplace and more importantly help to unlock their huge potential.

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AI-900T00 - Microsoft Azure AI Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

EFQM Performance Improvement Practitioner Course A 2-day deep-dive workshop on RADAR and how to use it as an agile project performance framework. The essential course for anyone wanting to learn more about the RADAR logic and how to build a continuous improvement culture and mindset across your whole organisation.   Who is it for? This course is suitable for anyone who wants to understand the RADAR logic and how it can be used to make their organisation more effective. Whilst this training is effective as a stand-alone course; it is also a Level 1 option for anyone considering one of the EFQM qualification routes as a way of progressing their management development and career.   Benefits By the end of the course, participants will be able to: Explain the overall RADAR logic Explain the main principles of positive culture and mindset for driving performance Describe how RADAR can be implemented into an organisation to improve performance at every level Identify how to use RADAR to drive the management agenda Apply RADAR across day-to-day initiatives and key projects as an agile project performance framework. Programme The main topics covered during the EFQM Performance Improvement Practitioner training are: RADAR logic and examples of how it can be used Using RADAR to drive the management agenda Using RADAR to drive strategic initiatives Using RADAR to set up strategic KPI’s RADAR as a Performance Improvement Framework Case studies and group exercises RADAR Improvement Matrix self-assessment The training is spread over two days and is delivered in a virtual classroom setting (Zoom or Microsoft Teams), using videos, group discussions, case studies and activities in breakout rooms and presentations from the trainer.   Further Development The EFQM Performance Improvement Practitioner training provides core knowledge about the RADAR Logic. In some cases, the training will have fulfilled an individual's learning needs. In many cases, the individual will want to consolidate their learning by applying the theory to a practical task. We encourage you to apply RADAR to a practical, work-based project, and we provide guidance on how to approach and complete your project.    Completion of the RADAR Performance Improvement Project also allows you to progress to one of the advanced EFQM qualification programmes: EFQM Performance Improvement Leader, EFQM Assessor or EFQM Organisational Change Leader.   EFQM Performance Improvement Leader If you successfully complete the EFQM Performance Improvement Practitioner training and the subsequent project, you are invited to apply for the EFQM Performance Improvement Leader assessment. You will be guided and coached by an EFQM trainer and asked to present your project to the EFQM expert panel. Here you will answer questions about how you applied the RADAR logic and principles (we provide participants with templates for running the project, as well as a high-level mid-term review). You will also receive feedback on how to improve and maximise the use of RADAR for future endeavours. Dates and time: This is a two day on-line workshop delivered on the 12th of June & 18th of June from 9:00 AM to 3:30 PM GMT Cost: £1000 + VAT

The Preliminary Electronic Security Course is an introductory (or revision) course designed to provide participants who have no previous Electrical or Electronics experience with the background skills required to attend the CCTV Installation Course, Access Control Course or Fire Alarm Foundation Course. The course gives both an introduction to electronics and electronic security and shows how the two fields merge together. Ideal for a beginner wishing to learn more about this fascinating area. A large practical content is guaranteed. The day will be an excellent learning experience with a skilled instructor. It is a great introduction to the other courses we provide.