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Introduction to AI for Trainers and Assessors

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

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies. Developers that deliver content from SQL Server databases will also benefit from this material. Overview After completing this course, you will be able to: Describe key database concepts in the context of SQL Server Describe database languages used in SQL Server Describe data modelling techniques Describe normalization and denormalization techniques Describe relationship types and effects in database design Describe the effects of database design on performance Describe commonly used database objects This course is provided as an introductory class for anyone getting started with databases. It will be useful to programmers and other IT professionals whose job roles are expanding into database management. Students will learn fundamental database concepts through demonstrations and hands-on labs on a SQL Server instance. This material updates and replaces course Microsoft course 10985 which was previously published under the same title. Module 1: Introduction to databases Introduction to Relational Databases Other Databases and Storage Data Analysis SQL Server Database Languages Module 2: Data Modeling Data Modelling Designing a Database Relationship Modeling Module 3: Normalization Fundamentals of Normalization Normal Form Denormalization Module 4: Relationships Introduction to Relationships Planning Referential Integrity Module 5: Performance Indexing Query Performance Concurrency Module 6: Database Objects Tables Views Stored Procedures, Triggers and Functions

Duration 3 Days 18 CPD hours This course is intended for The intended audience for this course is information security and IT professionals, such as network administrators and engineers, IT managers, and IT auditors, and other individuals who want to learn more about information security, who are interested in learning in-depth information about information security management, who are looking for career advancement in IT security, or who are interested in earning the CISM certification. Overview Establish and maintain a framework to provide assurance that information security strategies are aligned with business objectives and consistent with applicable laws and regulations. Identify and manage information security risks to achieve business objectives. Create a program to implement the information security strategy. Implement an information security program. Oversee and direct information security activities to execute the information security program. Plan, develop, and manage capabilities to detect, respond to, and recover from information security incidents. In this course, students will establish processes to ensure that information security measures align with established business needs. Prerequisites Information security governance Information risk management Information security program development Information security program management Incident management and response 1 - Information Security Governance Develop an Information Security Strategy Align Information Security Strategy with Corporate Governance Identify Legal and Regulatory Requirements Justify Investment in Information Security Identify Drivers Affecting the Organization Obtain Senior Management Commitment to Information Security Define Roles and Responsibilities for Information Security Establish Reporting and Communication Channels 2 - Information Risk Management Implement an Information Risk Assessment Process Determine Information Asset Classification and Ownership Conduct Ongoing Threat and Vulnerability Evaluations Conduct Periodic BIAs Identify and Evaluate Risk Mitigation Strategies Integrate Risk Management into Business Life Cycle Processes Report Changes in Information Risk 3 - Information Security Program Development Develop Plans to Implement an Information Security Strategy Security Technologies and Controls Specify Information Security Program Activities Coordinate Information Security Programs with Business Assurance Functions Identify Resources Needed for Information Security Program Implementation Develop Information Security Architectures Develop Information Security Policies Develop Information Security Awareness, Training, and Education Programs Develop Supporting Documentation for Information Security Policies 4 - Information Security Program Implementation Integrate Information Security Requirements into Organizational Processes Integrate Information Security Controls into Contracts Create Information Security Program Evaluation Metrics 5 - Information Security Program Management Manage Information Security Program Resources Enforce Policy and Standards Compliance Enforce Contractual Information Security Controls Enforce Information Security During Systems Development Maintain Information Security Within an Organization Provide Information Security Advice and Guidance Provide Information Security Awareness and Training Analyze the Effectiveness of Information Security Controls Resolve Noncompliance Issues 6 - Incident Management and Response Develop an Information Security Incident Response Plan Establish an Escalation Process Develop a Communication Process Integrate an IRP Develop IRTs Test an IRP Manage Responses to Information Security Incidents Perform an Information Security Incident Investigation Conduct Post-Incident Reviews

***24 Hour Limited Time Flash Sale*** Network Security Engineer Diploma Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Cyber threats pose a major risk to organisations, with an attack every 39 seconds in the UK. In 2023, UK businesses reported 750,000 cybersecurity breaches, a 46% increase from the previous year. This calls for skilled network security engineers to safeguard systems and data. This Network Security Engineer Diploma bundle provides extensive training in network defense, ethical hacking, penetration testing, and risk analysis to advance cybersecurity careers. This bundle focuses on network security, ethical hacking, penetration testing, risk management, CompTIA certifications (Network+, Security+, CySA+, PenTest+), cloud computing, IT fundamentals, and web app security. Learners will gain in-demand skills to protect organisations. But that's not all. When you enrol in this Bundle Course Online Training, you'll receive 25 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Network Security Engineer Diploma Course Career Bundle: Course 01: Network Security Engineer Course 02: Computer Networks Security from Scratch to Advanced Course 03: Network Security and Risk Management Course 04: Diploma in CompTIA Network Training at QLS Level 7 Course 05: CompTIA Network+ (N10-008) Course 06: CompTIA Network+ Certification (N10-007) Course 07: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 08: CompTIA CySA+ Cybersecurity Analyst (CS0-002) Course 09: CompTIA Security+ (SY0-601) Course 10: CompTIA A+ (220-1001) Course 11: CompTIA IT Fundamentals ITF+ (FCO-U61) Course 12: CompTIA PenTest+ (Ethical Hacking) Course 13: Learn Ethical Hacking From A-Z: Beginner To Expert Course 14: IT: Ethical Hacking & IT Security Course 15: Web Application Penetration Testing Course Course 16: Penetration Testing with OWASP ZAP: Mastery course Course 17: Understanding Data Protection and Data Security Course 18: GENERAL DATA PROTECTION REGULATION (GDPR) & CYBER SECURITY MANAGEMENT Course 19: Data Center Training Essentials: Mechanical & Cooling Course 20: Cyber Security Incident Handling and Incident Response Course 21: IT Administration and Networking Course 22: IT Support Technician Course 23: Level 5 Diploma in Cyber Security Course 24: Cyber Security Law Course 25: Information Management Enrol in the Network Security Engineer Diploma Course today and take the first step towards achieving your goals and dreams. Why buy this Bundle Course? Free CPD Accredited Certificate upon completion of this Bundle Course Get a free student ID card with this Bundle Course Lifetime access to this Bundle of Course materials Get instant access to this Bundle Course Learn from anywhere in the world 24/7 tutor support with tthis Bundle Course. Start your learning journey straightaway! This Bundle Course premium bundle consists of 25 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Network Security Engineer Diploma Course is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of this Bundle Course. After passing this Bundle Course exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 350 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Requirements You will not need any prior background or expertise to enrol in this bundle. Career path This Network Security Engineer Diploma Course bundle will allow you to kickstart or take your career in the related sector to the next stage. Network Security Engineer Security Analyst Penetration Tester Security Consultant Cybersecurity Specialist IT Security Manager Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

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.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for IT professionals who are experienced in general Windows Server and Windows Client administration. Students should have a foundational knowledge of Windows PowerShell, which they can obtain by taking course 10961C: Automating Administration with Windows PowerShell. In addition, this course provides scripting guidance for Microsoft Azure administrators and developers who support development environments and deployment processes. Overview After completing this course, you will be able to: Create advanced functions. Use Microsoft .NET Framework and REST API in Windows PowerShell. Handle script errors. Use XML, JSON, and custom formatted data. Manage Microsoft Azure resources Analyze and debug scripts Understand Windows PowerShell workflow. This course teaches students how to automate administrative tasks using PowerShell. Students will learn crucial scripting skills such as creating advanced functions, writing controller scripts, and handling script errors. Candidates will learn how to use PowerShell when working with Microsoft Azure, SQL Server, Active Directory, IIS, Windows PowerShell Workflow, .NET resources, the REST API and XML, CSV & JSON formatted data files.This course replaces retired Microsoft course 10962. Module 1: Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters Module 2: Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell Module 3: Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports Module 4: Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script Module 5: Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data Module 6: Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration Module 7: Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script Module 8: Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows

Duration 1 Days 6 CPD hours This course is intended for Candidates for this exam are users who aspire to improve productivity by automating business processes, analyzing data to produce business insights, and acting more effectively by creating simple app experiences. Overview After completing this course, you will be able to: Describe Microsoft Power Platform components Describe Microsoft Dataverse and connectors Describe cross-cloud scenarios across M365, Dynamics 365, Microsoft Azure and 3rd party services Identify benefits and capabilities of Microsoft Power Platform Identify the basic functionality and business value Microsoft Power Platform components Implement simple solutions with Power Apps, Power Automate, and Power BI Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Dataverse, build a Power BI Dashboard, and automate processes with Power Automate. Module 1: Introduction to Microsoft Power Platform Identify when to use each Microsoft Power Platform component application to create business solution Learn the value of using Microsoft Power Platform to create business solutions Learn the components and features of Microsoft Power Platform Module 2: Introduction to Microsoft Dataverse Microsoft Dataverse Overview Module 3: Get Started with Power Apps Introduction to Power Apps How to build a canvas app How to build a model-driven app Module 4: Get Started with Power Automate Power Automate Overview How to Build an Automated Solution Module 5: Get Started with Power BI Power BI Overview How to Build a Simple Dashboard Module 6: Introduction to Power Virtual Agents Power Virtual Agents overview Additional course details: Nexus Humans PL-900T00 Microsoft Power Platform 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 PL-900T00 Microsoft Power Platform 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.

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

Duration 1 Days 6 CPD hours This course is intended for This course is primarily designed for business leaders, consultants, product and project managers, and other decision makers who are interested in unlocking new business opportunities and augmenting existing business processes using generative AI. It's also a great starting point for any business professionals who want to investigate generative AI solutions for their own individual tasks and workflows. This course is also designed to assist students in preparing for the CertNexus GenAIBIZ (Exam GAZ-110) credential. Overview In this course, you will identify ways in which generative AI can bring significant value to the organization. You will: Describe the fundamentals of AI and generative AI. Generate text using AI. Generate code using AI. Generate images and video using AI. Generate audio using AI. Identify the challenges of generative AI. Implement organizational strategies for generative AI. This course is designed to demystify generative AI for business professionals, as well as to trace its power to actionable, real-world business goals. It will give you the essential knowledge of generative AI you'll need to elevate the organization in these exciting times. GenAIBIZÿoffers business professionals with the ability to describe the fundamentals of AI and generative AI; generate text, code, images, video, and audio using generative AI; identify the challenges of generative AI; and implement organizational strategies for generative AI. Exam voucher is included.This course may earn you a Credly badge. Lesson 1: AI Fundamentals Topic A: AI Concepts Topic B: Generative AI Concepts Lesson 2: Generating Text Using AI Topic A: Identify Text Generation Concepts Topic B: Solve Business Problems Using Text Generation Lesson 3: Generating Code Using AI Topic A: Identify Code Generation Concepts Topic B: Solve Business Problems Using Code Generation Lesson 4: Generating Images and Video Using AI Topic A: Identify Image and Video Generation Concepts Topic B: Solve Business Problems Using Image and Video Generation Lesson 5: Generating Audio Using AI Topic A: Identify Audio Generation Concepts Topic B: Solve Business Problems Using Audio Generation Lesson 6: Identifying Challenges of Generative AI Topic A: Identify Shortcomings of Generative AI Topic B: Identify Ethical Risks of Generative AI Topic C: Identify Business Concerns of Generative AI Lesson 7: Implementing Business Strategies for Generative AI Topic A: Apply Best Practices for Generative AI in the Organization Topic B: Evaluate the Results of Generative AI Projects