1443 Acro courses in Cardiff delivered Live Online

This practitioner-level 4 award encourages individuals in IT and technical roles to explore the many teams, ideas, and functions within an organisation and maximise their contribution. You will achieve this by learning the key concepts and considering behaviour and response in different scenarios.

This Level 4 course encourages individuals in digital and technical roles to enhance their skills by exploring different techniques, formats, and tools to communicate and understand the impact of their communication choices.

This Level 4 practitioner award encourages individuals in or working towards a leadership role (this could be an IT or technical based-role), and you want to demonstrate modern leadership behaviours to nurture a high-performing team, especially during a time of organisational change.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is looking to familiarize themselves with the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. The content for this course aligns to the SC-900 exam objective domain. Candidates should be familiar with Microsoft Azure and Microsoft 365 and understand how Microsoft security, compliance, and identity solutions can span across these solution areas to provide a holistic and end-to-end solution. Before attending this course, students must have: General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions. Prerequisites General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. 1 - Describe security and compliance concepts Describe the shared responsibility model Describe defense in depth Describe the Zero Trust model Describe governance, risk, and compliance (GRC) concepts 2 - Describe identity concepts Define authentication and authorization Define identity as the primary security perimeter Describe the role of the identity provider Describe the concept of directory services and Active Directory Describe the concept of federation 3 - Describe the function and identity types of Microsoft Entra ID Describe Microsoft Entra ID Describe types of identities Describe hybrid identity Describe external identities 4 - Describe the authentication capabilities of Microsoft Entra ID Describe authentication methods Describe multifactor authentication Describe self-service password reset Describe password protection and management capabilities 5 - Describe access management capabilities of Microsoft Entra ID Describe Conditional Access Describe Microsoft Entra roles and role-based access control (RBAC) 6 - Describe the identity protection and governance capabilities of Azure AD Describe Microsoft Entra ID Governance Describe access reviews Describe entitlement management Describe the capabilities of Privileged identity Management Describe Microsoft Entra ID Protection Describe Microsoft Entra Permissions Management Describe Microsoft Entra Verified ID 7 - Describe core infrastructure security services in Azure Describe Azure DDoS protection Describe Azure Firewall Describe Web Application Firewall Describe network segmentation in Azure Describe Azure Network Security Groups Describe Azure Bastion Describe Azure Key Vault 8 - Describe the security management capabilities in Azure Describe Microsoft Defender for Cloud Describe how security policies and initiatives improve cloud security posture Describe Cloud security posture management Describe the enhanced security of Microsoft Defender for Cloud Describe DevOps security management 9 - Describe security capabilities of Microsoft Sentinel Describe threat detection and mitigation capabilities in Microsoft Sentinel Describe Microsoft Security Copilot 10 - Describe threat protection with Microsoft Defender XDR Describe Microsoft Defender XDR services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe Microsoft Defender Vulnerability Management Describe Microsoft Defender Threat Intelligence Describe the Microsoft Defender portal 11 - Describe Microsoft?s Service Trust portal and privacy capabilities Describe the offerings of the Service Trust portal Describe Microsoft's privacy principles Describe Microsoft Priva 12 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 13 - Describe information protection, data lifecycle management, and data governance capabilities in Microsoft Purview Know your data, protect your data, and govern your data Describe the data classification capabilities of the compliance portal Describe sensitivity labels and policies Describe data loss prevention Describe retention policies and retention labels Describe records management Describe the Microsoft Purview unified data governance solution 14 - Describe the insider risk capabilities in Microsoft Purview Describe insider risk management Describe communication compliance 15 - Describe the eDiscovery and Audit capabilities in Microsoft Purview Describe the eDiscovery solutions in Microsoft Purview Describe the audit solutions in Microsoft Purview

Project Stakeholder Relationship Skills: In-House Training This course is designed to provide project managers with the ability to: Analyze the complexities of major stakeholder relationship categories Apply the most appropriate interpersonal relationship skills to the different categories of relationships Align the dynamic needs of the stakeholders with a project's objective throughout the project life cycle What you Will Learn Examine traditional and non-traditional ways to identify and assess stakeholders Explain how competence, character, and trust lead to project success and strong relationships with stakeholders Utilize 'Embodied Leadership' skills to build stakeholder relationships Apply stakeholder engagement best practices to case study and real-life scenarios Getting Started Stakeholders and project success Stakeholder management research Managing stakeholder relationships Identifying Stakeholders Stakeholder categories Stakeholder relationships across the project life cycle Tools and techniques for identifying stakeholders Assessing Stakeholders Assessing stakeholder relationships Recognizing stakeholder attitudes toward the project Analyzing stakeholders Using other types of stakeholder assessments Building Stakeholder Relationships The importance of psychological safety Building trust and getting results The anatomy of trust Navigating Challenging Situations Dynamics of conflict Responding to conflict Managing difficult conversations

Immerse yourself in the ancient practice of yoga, a transformative journey that extends far beyond the mere physical postures. Our comprehensive yoga sessions are meticulously curated and led by seasoned professionals, offering a serene sanctuary tailored for the demands of modern-day professionals yearning for holistic balance and wellness. Delve into innate human abilities such as intuition, telepathy, clairvoyance, lucid dreaming, and energy healing. Uncover these dormant gifts existing within and enjoy awakening them fully.

Duration 1 Days 6 CPD hours This course is intended for The Power BI in a Day course is designed for beginners and intermediate users of Power BI. Overview #NAME? Students will discover the full capabilities of Power BI in a one-day, hands-on workshop. Please Note: This workshop is primarily self-directed and students will work at their own pace while having access to an instructor for questions. 1 - Accessing & Preparing data Data Set Power BI Desktop Power BI Desktop ? Accessing Data Power BI Desktop ? Data Preparation 2 - Data Modeling and Exploration Power BI Desktop ? Data Modeling and Exploration Power BI Desktop ? Data Exploration Continued References 3 - Data Visualization Power BI Desktop Power BI Desktop ? Data Visualization References 4 - Publishing & Accessing Reports Power BI Desktop ? Creating Mobile View Power BI Service Power BI Service ? Publishing Report Power BI Mobile ? Accessing Report on Mobile Device Power BI Service ? Collaboration and Distribution References 5 - Dashboard and Collaboration Power BI Service Building Dashboard References Additional course details: Nexus Humans Power BI: Dashboard in a Day 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 Power BI: Dashboard in a Day 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.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions. Note Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing. Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. Prerequisites Familiarity with Azure and the Azure portal. Experience programming with C# or Python. 1 - 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 2 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 3 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 4 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 5 - 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 6 - 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 Additional course details: Nexus Humans AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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-050T00: Develop Generative AI Solutions with Azure OpenAI Service 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 31st of January & 7th of February from 9:00 AM to 3:30 PM GMT Cost: £650 + VAT

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.