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RESILIA™ Foundation AXELOS RESILIA™: Cyber Resilience Best Practice is designed to help commercial and government organizations around the world prevent, detect, and correct any impact cyber attacks will have on the information required to do business. Adding RESILIA to the existing AXELOS global best practice portfolio, including ITIL® and PRINCE2®, brings a common cyber resilience best practice for security, IT service management, and business. Active cyber resilience is achieved through people, process, and technology. The RESILIA™ Foundation course starts with the purpose, key terms, the distinction between resilience and security, and the benefits of implementing cyber resilience. It introduces risk management and the key activities needed to address risks and opportunities. Further, it explains the relevance of common management standards and best practice frameworks to achieve cyber resilience. Subsequently, it identifies the cyber resilience processes, the associated control objectives, interactions, and activities that should be aligned with corresponding ITSM activities. In the final part of the course, it describes the segregation of duties and dual controls related to cyber resilience roles and responsibilities. What you will Learn At the end of this course, you will be able to: Demonstrate your knowledge of the purpose, benefits, and key terms of cyber resilience Demonstrate your knowledge of the risk management and the key activities needed to address risks and opportunities Demonstrate your knowledge of the purpose of a management system and how best practices and standards can contribute Demonstrate your knowledge of the cyber resilience strategy, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience design, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience transition, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience operation, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience continual improvement, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of the purpose and benefits of segregation of duties and dual controls Course Introduction Course Learning Objectives Course Agenda Activities Course Book Structure RESILIA Certification Introduction to Cyber Resilience What is Cyber Resilience? Defining Cyber Resilience Balancing in Cyber Resilience Characteristics of Cyber Resilience Risk Management Understanding Risk Management: Discussion Defining Risk Management Addressing Risks and Opportunities Managing Cyber Resilience Why and What of Management Systems? Management Systems Common Management Standards and Frameworks Cyber Resilience Strategy What is Strategy? Cyber Resilience Strategy and Activities Security Controls at Cyber Resilience Strategy Interaction Between ITSM Processes and Cyber Resilience Cyber Resilience Design Why Cyber Resilience Design? Cyber Resilience Design Activities Security Controls at Cyber Resilience Design Aligning ITSM Processes with Cyber Resilience Processes Cyber Resilience Transition Why Cyber Resilience Transition? Basics of Cyber Resilience Transition Cyber Resilience Transition: Controls Interaction Between ITSM Processes and Cyber Resilience Cyber Resilience Operation The Purpose of Cyber Resilience Operation Security Controls in Cyber Resilience Operation Interaction Between IT Processes and Cyber Resilience Interaction Between ITSM Functions and Cyber Resilience Cyber Resilience Continual Improvement Continual or Continuous Improvement Maturity Models Continual Improvement Controls The Seven-Step Improvement Process The ITIL CSI Approach Cyber Resilience Roles & Responsibilities Segregating Duties Dual Controls

RESILIA™ Foundation: In-House Training AXELOS RESILIA™: Cyber Resilience Best Practice is designed to help commercial and government organizations around the world prevent, detect, and correct any impact cyber attacks will have on the information required to do business. Adding RESILIA to the existing AXELOS global best practice portfolio, including ITIL® and PRINCE2®, brings a common cyber resilience best practice for security, IT service management, and business. Active cyber resilience is achieved through people, process, and technology. The RESILIA™ Foundation course starts with the purpose, key terms, the distinction between resilience and security, and the benefits of implementing cyber resilience. It introduces risk management and the key activities needed to address risks and opportunities. Further, it explains the relevance of common management standards and best practice frameworks to achieve cyber resilience. Subsequently, it identifies the cyber resilience processes, the associated control objectives, interactions, and activities that should be aligned with corresponding ITSM activities. In the final part of the course, it describes the segregation of duties and dual controls related to cyber resilience roles and responsibilities. What you will Learn At the end of this course, you will be able to: Demonstrate your knowledge of the purpose, benefits, and key terms of cyber resilience Demonstrate your knowledge of the risk management and the key activities needed to address risks and opportunities Demonstrate your knowledge of the purpose of a management system and how best practices and standards can contribute Demonstrate your knowledge of the cyber resilience strategy, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience design, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience transition, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience operation, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience continual improvement, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of the purpose and benefits of segregation of duties and dual controls Course Introduction Course Learning Objectives Course Agenda Activities Course Book Structure RESILIA Certification Introduction to Cyber Resilience What is Cyber Resilience? Defining Cyber Resilience Balancing in Cyber Resilience Characteristics of Cyber Resilience Risk Management Understanding Risk Management: Discussion Defining Risk Management Addressing Risks and Opportunities Managing Cyber Resilience Why and What of Management Systems? Management Systems Common Management Standards and Frameworks Cyber Resilience Strategy What is Strategy? Cyber Resilience Strategy and Activities Security Controls at Cyber Resilience Strategy Interaction Between ITSM Processes and Cyber Resilience Cyber Resilience Design Why Cyber Resilience Design? Cyber Resilience Design Activities Security Controls at Cyber Resilience Design Aligning ITSM Processes with Cyber Resilience Processes Cyber Resilience Transition Why Cyber Resilience Transition? Basics of Cyber Resilience Transition Cyber Resilience Transition: Controls Interaction Between ITSM Processes and Cyber Resilience Cyber Resilience Operation The Purpose of Cyber Resilience Operation Security Controls in Cyber Resilience Operation Interaction Between IT Processes and Cyber Resilience Interaction Between ITSM Functions and Cyber Resilience Cyber Resilience Continual Improvement Continual or Continuous Improvement Maturity Models Continual Improvement Controls The Seven-Step Improvement Process The ITIL CSI Approach Cyber Resilience Roles & Responsibilities Segregating Duties Dual Controls

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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

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This IMI qualification is designed for technicians who maintain, diagnose and repair high and low voltage operating systems on electric/hybrid vehicles. It contains the skills and knowledge required to work safely around a vehicles high and low voltage train system, whilst carrying out repairs or maintenance. This course will also cover working safely around a vehicle that may have has damage to its high energy/electrical system.