Curso AI-900 Fundamentos de IA de Azure con Simulaciones Virtuales

Resumen

Get prepared for the AI-900 exam with instructor led labs and hands on simulations available 24/7 What you'll learn:

Learn the concepts and perform hands on activities needed to pass the AI-900 examGain a tremendous amount of knowledge involving advanced Azure AI ServicesGet loads of hands on experience with Azure AI ServicesUtilize hands on simulations that can be access anytime, anywhere! We really hope you'll agree, this training is way more than the average course on Udemy!

Have access to the following:

Training from an instructor of over 25 years who has trained thousands of people and also a Microsoft Certified TrainerLecture that explains the concepts in an easy to learn method for someone that is just starting out with this materialInstructor led hands on and simulations to practice that can be followed even if you have little to no experienceTOPICS COVEREDINCLUDINGHANDSONLECTUREANDPRACTICETUTORIALS:

IntroductionWelcome to the courseIMPORTANT Using Assignments in the courseCreating a free Azure AccountOrder of concepts covered in the courseIntroduction to artificial intelligence terminologyIdentify features of common AI workloadsUnderstanding features of anomaly detection workloadsExample of univariate anomaly detectionExample of multivariate anomaly detectionWhat is computer vision workloads?Conceptual usage of natural language processing workloadsVisualizing knowledge mining principalsIdentify guiding principles for responsible AIIntroduction to responsible AIFairness and Inclusiveness in an AI solutionReliability and safety in an AI solutionPrivacy and security in an AI solutionTransparency in an AI solutionAccountability in an AI solutionIdentify common machine learning typesCreate an Azure Machine Learning workspace for machine learning scenariosWhat is regression machine learning?Building a pipeline with regression machine learning for cleaning a datasetImplement a regression machine learning scenarioEvaluating the results of regression machine learning scenariosWhat is classification machine learning?Implement a classification machine learning scenario in AzureUnderstanding labels on a confusion matrixClustering machine learning exampleDescribe core machine learning conceptsUnderstanding features and labels in a dataset for machine learningHow training and validation datasets are used in machine learningDescribe capabilities of visual tools in Azure Machine Learning StudioUsing Automated machine learningUnderstanding Azure Machine Learning DesignerCleaning up our existing Azure resourcesIdentify common types of computer vision solutionsWhat are the Azure computer vision solutions?Creating an Azure computer vision resourceImage classification and object detection solutions in vision studioOptical character recognition solutions in vision studioFacial detection and facial analysis solutions in vision studioSpatial analysis solutions in vision studioIdentify Azure tools and services for computer vision tasksUsing the POSTMAN tool for interacting with Azure AI ServicesImplementing the capabilities of the Computer Vision serviceImplementing the capabilities of the Custom Vision serviceImplementing the capabilities of the Face serviceImplementing the capabilities of the Form Recognizer serviceIdentify features of common NLP Workload ScenariosWhat are the Azure AI Language features?Creating a language service resource in AzureTrying out key phrase extractionTrying out key entity recognitionTrying out key sentiment analysisTrying out key language modelingTrying out key speech recognition and synthesisTrying out key translationIdentify Azure tools and services for NLP workloadsExploring the capabilities of the Language serviceExploring the capabilities of the Speech serviceExploring the capabilities of the Translator serviceConfiguring Azure AI language to support questions and answers supportIdentify considerations for conversational AI solutions on AzureUnderstanding the features and uses for botsCapabilities of Power Virtual Agents and the Azure Bot serviceRemove existing resourceIdentify features and capabilities of generative AI & the Azure Open AI ServiceFeatures of generative Open AI modelsCommon scenarios for generative Open AIResponsible Open AI considerations for generative AI

Programa

• Introducción a los Fundamentos de la IA y Azure AI
Descripción general de conceptos y definiciones de IA
Introducción a los servicios de Microsoft Azure AI
• Comenzar con Azure
Configuración de una cuenta de Azure
Navegación por el portal de Azure
Comprensión de las ofertas de servicios de Azure AI
• Conceptos de Aprendizaje Automático
Introducción al aprendizaje automático (ML) y sus aplicaciones
Aprendizaje supervisado vs. no supervisado
Visión general de Azure Machine Learning Studio
• Procesamiento de Lenguaje Natural (PNL)
Comprensión del PNL y sus casos de uso
Introducción a los Servicios Cognitivos de Azure para el lenguaje
Análisis de texto y análisis de sentimientos
• Visión por Computadora
Conceptos básicos de visión por computadora
Servicios Cognitivos de Azure para visión
Procesamiento y análisis de imágenes con Azure
• IA Conversacional y Bots
Introducción a la IA conversacional
Creación de chatbots con Azure Bot Service
Integración de IA en chatbots con Language Understanding (LUIS)
• IA Responsable y Ética
Principios de IA responsable
Consideraciones éticas en el desarrollo y despliegue de IA
Herramientas y mejores prácticas para la equidad y transparencia en IA
• Simulaciones Virtuales de Azure AI
Laboratorios virtuales y simulaciones prácticas
Escenarios de IA en el mundo real y estudios de caso
Uso de herramientas de Azure AI en entornos simulados
• Preparación para el Examen
Comprensión del formato de certificación AI-900
Revisión de conceptos clave y ofertas de servicios
Preguntas de práctica y estrategias para el examen
• Evaluación Final y Finalización del Curso
Realizar la evaluación final del curso
Retroalimentación y revisión del curso
Certificación de finalización y próximos pasos

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Impartido por

John Christopher

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Materias

Programming