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Azure AI Fundamentals - Complete AI-901 Certification Guide · LearnSpace
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Azure AI Fundamentals - Complete AI-901 Certification Guide

Курс от Packt
Средний≈ 8.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Achieve Azure AI-901 certification with a deep dive into AI fundamentals, machine learning, natural language processing, and more. Master key concepts through engaging lessons and practical labs to boost your skills and career. This certification guide offers an in-depth learning experience tailored to mastering Azure AI fundamentals. Starting with the history and evolution of AI, the course progresses into foundational concepts, including key AI workloads, responsible AI principles, and the infrastructure required to deploy AI solutions on Azure. Through engaging video lessons and real-world labs, you will grasp essential topics such as machine learning, AI agents, and responsible AI practices. As you move through the course, you will delve into generative AI, exploring topics like large language models, transformer models, and their applications. You’ll also gain hands-on experience in building and managing AI agents, understanding the intricacies of tokenization and vector embeddings. The course expands into natural language processing, speech, and vision solutions, where you’ll explore AI tools for text analysis, speech-to-text conversion, and image recognition using Azure services. In the final modules, the focus shifts to the future of AI with advancements like multimodal AI systems, repository intelligence, and the human-AI partnership. By the end of the course, you’ll not only be prepared for the AI-901 certification but also equipped to implement AI solutions confidently, making you a valuable asset to any AI-driven organization. This course is designed for aspiring AI professionals, cloud architects, and IT specialists aiming to gain expertise in Azure AI and earn the AI-901 certification. Ideal for individuals working with or looking to transition into AI technologies, it provides a strong foundation in machine learning, NLP, and AI system deployment on Azure. Previous experience with cloud computing and basic AI concepts is beneficial but not required. The course follows a structured, module-based approach, allowing learners to build foundational knowledge before tackling more advanced topics. Through lessons, hands-on labs, and case studies, students will learn both theory and practical applications. The clear progression from historical concepts to cutting-edge AI technology ensures a comprehensive learning journey. This course is based on Azure AI Fundamentals - Complete AI-901 Certification Guide, by Anand Rao Nednur. This video is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Навыки, которые вы освоите

Generative AIMachine LearningEmbeddingsNatural Language ProcessingArtificial IntelligenceLLM ApplicationImage AnalysisLarge Language ModelingGenerative AI AgentsCloud InfrastructureGenerative Model ArchitecturesAgentic WorkflowsAgentic systemsCase StudiesAzure DevOpsResponsible AIData EthicsApplied Machine LearningMicrosoft AzureText Mining

Программа курса

8 модулей · 67 учебных материалов

01Introduction2 материалов

Unveiling the Azure AI Fundamentals Journey

Introduction PreviewВидеоExplaining Azure AI Fundamentals to a StakeholderDIALOGUE
02Module 0: The Story of AI (History & Origins)8 материалов

Tracing the Evolution of Artificial Intelligence: From Myths to Transformers

Lesson 0.1: From Myths to Mathematics: The Pre-history of AI PreviewВидео

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Azure AI Fundamentals - Complete AI-901 Certification Guide
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≈ 8.1 ч

8 модулей

Язык: Английский

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Lesson 0.2: The Turing Test: Can Machines Think? (1950)Видео
Lesson 0.3: The Dartmouth Workshop: Defining a New Science (1956) PreviewВидео
Lesson 0.4: The AI Winters: Why Early AI Hit a WallВидео
Lesson 0.5: The Rise of Machine Learning: Data over RulesВидео
Lesson 0.6: The Transformer Era: Attention is All You Need PreviewВидео
Exploring the Evolution of AIDIALOGUE
Evolution and Key Concepts of Artificial IntelligenceЗадание
03Module 1: Fundamental AI Concepts & Infrastructure13 материалов

Building the Foundation: AI Concepts, Ethics, and Cloud Infrastructure

Defining AI in 2026ВидеоCommon AI Workloads PreviewВидеоPrinciples of Responsible AI: Fairness and ReliabilityВидеоPrinciples of Responsible AI: Privacy, Inclusivity, and TransparencyВидеоAzure Infrastructure: Subscriptions and Resource GroupsВидеоMicrosoft Foundry: Your Unified AI Development HubВидеоAuthentication: Understanding Keys and EndpointsВидеоLab 1.1: Provisioning the Microsoft Foundry ResourceВидеоLab 1.2: Quick Peek of Microsoft FoundryВидеоLab 1.3: More Services - Microsoft FoundryВидеоLab 1.4: Azure AI - New UI - New ExperienceВидеоNavigating AI Resource Setup in Microsoft FoundryDIALOGUEIntroduction to AI Workloads and Microsoft AzureЗадание
04Module 2: Generative AI & Intelligent Agents13 материалов

Unpacking AI Creativity and Agent Intelligence

Lesson 2.1: What is Generative AI? From Input to Original CreationВидеоLesson 2.2: Large Language Models (LLMs) vs. Small Language Models (SLMs)ВидеоLesson 2.3: Understanding Tokens: How AI ReadsВидеоLesson 2.4: Vector Embeddings: Giving Meaning to DataВидеоLesson 2.5: The Transformer: Attention is All You NeedВидеоLesson 2.6: Defining AI Agents: Memory, Tools, and ReasoningВидеоLesson 2.7: The Azure AI GatewayВидеоLab 2.1: API Gateway and The Token LimitingВидеоLab 2.2: Build Your First AgentВидеоLab 2.3: Monitoring and Tracing the AgentsВидеоLab 2.4: End to End - Agent to Agent WorkflowВидеоUnderstanding Tokens and Vector Embeddings in AIDIALOGUEFundamentals of Generative AI and Microsoft Foundry AgentsЗадание
05Module 3: Natural Language Processing (NLP)7 материалов

Unlocking Text Insights with NLP Techniques

Lesson 3.1: Key-phrase Extraction: Finding the WhatВидеоLesson 3.2: Named Entity Recognition (NER): Identifying the "Who" and "Where"ВидеоLesson 3.3: Sentiment Analysis: Detecting Tone and EmotionВидеоLesson 3.4: Text Pre-processing: Tokenization and Stop-word RemovalВидеоLab 3.1: Natural Language ProcessingВидеоAnalyzing Customer Feedback with NLP TechniquesDIALOGUEKey Concepts of Azure AI Language ServiceЗадание
06Module 4: Speech & Vision Solutions10 материалов

Unlocking Human-Computer Interaction: Speech, Vision, and AI

Lesson 4.1: Speech-to-Text: The Art of TranscriptionВидеоLesson 4.2: Text-to-Speech: Neural Voices and ProsodyВидеоLab 4.1: Speech to Text & Text to SpeechВидеоLab 4.2: Vision - Face APIВидеоLesson 4.3: Computer Vision: Image Classification vs. Object DetectionВидеоLab 4.3: Face APIВидеоLesson 4.4: Vision Transformers (ViT) and Multimodal UnderstandingВидеоLesson 4.5: Diffusion Models: How AI Generates Images and VideoВидеоExploring Speech and Vision AI ConceptsDIALOGUEModern AI Speech and Vision TechnologiesЗадание
07Module 5: Content & Information Extraction7 материалов

Mastering Document Intelligence and Information Extraction

Lesson 5.1: Information Extraction: Moving Beyond Simple OCRВидеоLesson 5.2: Field Extraction: Mapping Documents to Data SchemasВидеоLab 5.1: Content-SafetyВидеоLesson 5.3: Pre-built vs. Custom Analyzers for Invoices and ReceiptsВидеоLab 5.2: Language Translation-APIВидеоDesigning a Document Processing PipelineDIALOGUEApplied Document Intelligence and Content Safety in Enterprise SettingsЗадание
08Module 6: The Future of AI (2026 and Beyond)7 материалов

Shaping Tomorrow: The Next Evolution of Artificial Intelligence

Lesson 6.1: Agentic AI: From "Chatbots" to "Digital Coworkers"ВидеоLesson 6.2: Multimodal as the Standard: AI that Sees, Hears & Speaks SimultaneouslyВидеоLesson 6.3: Repository Intelligence: AI that Understands History and ContextВидеоLesson 6.4: Global AI Safety: The EU AI Act and Modern GovernanceВидеоLesson 6.5: The Human-AI Partnership: Will AI Replace Us or Amplify UsВидеоExploring Agentic AI and Human-AI PartnershipsDIALOGUEThe Azure AI Fundamentals - Complete AI-901 Certification Guide Final AssessmentЗадание