# KodeKloud: Beta Courses AI-900: Microsoft Certified Azure AI Fundamentals

## AI-900: Microsoft Certified Azure AI Fundamentals

### Introduction

- [Course Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Introduction/Course-Introduction/page.md): This course introduces Microsoft Azure AI fundamentals, covering AI concepts, machine learning, Azure services, computer vision, NLP, and responsible AI practices.
- [Certification Details](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Introduction/Certification-Details/page.md): This article prepares you for the AI-900 certification exam by covering essential modules on AI workloads and Azure technologies.

### Fundamental AI Concepts

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamental-AI-Concepts/Module-Introduction/page.md): This guide explores essential building blocks of artificial intelligence, its applications, and ethical principles for responsible use.
- [What Is Artificial Intelligence](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamental-AI-Concepts/What-Is-Artificial-Intelligence/page.md): This article explores Artificial Intelligence, its applications, and how it mimics human intelligence to transform technology interactions.
- [Common AI Workloads](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamental-AI-Concepts/Common-AI-Workloads/page.md): This article explores common AI workloads that drive innovation, including Machine Learning, Computer Vision, NLP, Document Intelligence, Knowledge Mining, and Generative AI.
- [Principles of Responsible AI](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamental-AI-Concepts/Principles-of-Responsible-AI/page.md): This article details guiding principles for responsible AI, focusing on fairness, reliability, privacy, inclusiveness, transparency, and accountability to mitigate ethical challenges and risks.

### Fundamentals of Machine Learning

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Machine-Learning/Module-Introduction/page.md): This module covers the fundamentals of Machine Learning, including its types, training, evaluation, deep learning, and practical applications using Azure Machine Learning.
- [What Is Machine Learning](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Machine-Learning/What-Is-Machine-Learning/page.md): This article explores the fundamentals of machine learning, focusing on the training and inferencing phases for building predictive models from data.
- [Types of Machine Learning](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Machine-Learning/Types-of-Machine-Learning/page.md): This guide explores different types of machine learning, focusing on supervised and unsupervised learning, their differences, and applications.
- [Training and Evaluation of Models](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Machine-Learning/Training-and-Evaluation-of-Models/page.md): This article discusses the training and evaluation phases in machine learning, focusing on model development, prediction, and iterative refinement for improved accuracy.
- [Deep Learning](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Machine-Learning/Deep-Learning/page.md): This article explains deep learning, focusing on artificial neural networks and their application in classifying animal sounds through iterative training and feature extraction.
- [Introduction to Azure ML](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Machine-Learning/Introduction-to-Azure-ML/page.md): This article provides a comprehensive guide on Azure Machine Learning, covering its features, tools, and processes for building and deploying machine learning models.

### Introduction to Azure AI Services

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Introduction-to-Azure-AI-Services/Module-Introduction/page.md): This article provides a comprehensive guide on Azure AI Services, covering fundamentals, hands-on experience, and advanced applications for building intelligent applications.
- [Fundamentals of Azure AI](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Introduction-to-Azure-AI-Services/Fundamentals-of-Azure-AI/page.md): This article explains the fundamentals of Azure AI, covering its infrastructure, data storage, compute resources, and AI services for building intelligent applications.
- [Azure AI Services](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Introduction-to-Azure-AI-Services/Azure-AI-Services/page.md): This article provides an overview of Azure AI services, including Azure Machine Learning, Azure AI Services, and Azure Cognitive Search, along with deployment and interaction guidance.

### Concepts of Computer Vision

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Concepts-of-Computer-Vision/Module-Introduction/page.md): This module explores how machines interpret visual information, covering image processing, CNNs, multimodal models, and Azure Computer Vision Services.
- [Image Processing](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Concepts-of-Computer-Vision/Image-Processing/page.md): This lesson introduces image processing fundamentals, explaining image structure and filter usage to modify appearance and highlight specific features.
- [Convolutional Neural Networks](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Concepts-of-Computer-Vision/Convolutional-Neural-Networks/page.md): This article outlines the process of Convolutional Neural Networks in image classification, detailing steps from input labeling to final predictions.
- [Explore Multi Modal Models](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Concepts-of-Computer-Vision/Explore-Multi-Modal-Models/page.md): Multimodal models in AI process diverse data types, enhancing tasks like image classification and object detection through integrated visual and textual context.
- [Azure Computer Vision Services](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Concepts-of-Computer-Vision/Azure-Computer-Vision-Services/page.md): Azure Computer Vision Services offer tools for interpreting visual data, including image analysis, OCR, spatial analysis, face detection, and recognition.

### Azure Computer Vision Capabilities

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-Computer-Vision-Capabilities/Module-Introduction/page.md): This guide explores Azures Computer Vision features, including image analysis, face detection, and Optical Character Recognition to enhance application capabilities.
- [AI Vision Service and Image Analysis](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-Computer-Vision-Capabilities/AI-Vision-Service-and-Image-Analysis/page.md): This article explores the Azure AI Vision Service, detailing its features like image analysis, object detection, OCR, and practical applications across various domains.
- [Face Service to Detect Faces](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-Computer-Vision-Capabilities/Face-Service-to-Detect-Faces/page.md): This article explores Azures Face Service for facial detection and recognition, detailing features and deployment steps for various applications.
- [Optical Character Recognition OCR to Read Text](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-Computer-Vision-Capabilities/Optical-Character-Recognition-OCR-to-Read-Text/page.md): This article explores Optical Character Recognition (OCR) technology for converting text from images into machine-readable data, enhancing data management and analysis.

### Natural Language Processing (NLP)

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Natural-Language-Processing-NLP/Module-Introduction/page.md): This module explores how machines understand and generate human language, leveraging Azure tools for NLP and conversational AI solutions.
- [Introduction to Natural Language Processing](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Natural-Language-Processing-NLP/Introduction-to-Natural-Language-Processing/page.md): This article provides a comprehensive guide on Natural Language Processing, covering its steps, techniques, and applications in understanding human language.
- [NLP and Conversational AI in Azure](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Natural-Language-Processing-NLP/NLP-and-Conversational-AI-in-Azure/page.md): Azure provides tools for natural language processing and conversational AI, enabling the development of intelligent multilingual applications.

### Azure NLP Services

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-NLP-Services/Module-Introduction/page.md): This lesson explores Azure services for Natural Language Processing, covering text analysis, question answering, chatbot development, conversational understanding, and speech recognition.
- [Text Analysis](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-NLP-Services/Text-Analysis/page.md): This article explores Azures Text Analytics service for extracting insights from text data using natural language processing techniques.
- [Question Answering](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-NLP-Services/Question-Answering/page.md): This article explores how to create and manage a knowledge base for question answering using Azure services.
- [Azure Bot Service](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-NLP-Services/Azure-Bot-Service/page.md): This article explores Azure Bot Service, a cloud platform for building and managing intelligent bots that enhance user interactions across multiple channels.
- [Conversational Language and Understanding](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-NLP-Services/Conversational-Language-and-Understanding/page.md): This article explores components that empower conversational AI systems to interpret and respond to natural language inputs.
- [Speech Recognition and Synthesis](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-NLP-Services/Speech-Recognition-and-Synthesis/page.md): This article explores Azure Speech Services speech recognition and synthesis capabilities for creating interactive and accessible applications.

### Azure AI Document Intelligence

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Document-Intelligence/Module-Introduction/page.md): This article provides an overview of Azure AI Document Intelligence, focusing on document analysis, automation, and data extraction to enhance business efficiency.
- [AI Document Intelligence Services](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Document-Intelligence/AI-Document-Intelligence-Services/page.md): Azure AI Document Intelligence Services processes documents by extracting critical information, converting unstructured text into structured data for analysis and integration.
- [Form Analysis Using Document Intelligence](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Document-Intelligence/Form-Analysis-Using-Document-Intelligence/page.md): This article explores Azures Document Intelligence for analyzing forms, automating data entry, and enhancing accuracy with pre-trained and custom models.
- [Document Intelligence Studio](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Document-Intelligence/Document-Intelligence-Studio/page.md): Document Intelligence Studio simplifies document processing with a no-code approach, enabling users to extract structured data from various document types efficiently.

### Azure AI Search

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Search/Module-Introduction/page.md): This article explores Azure AI Search, focusing on AI's role in knowledge mining and advanced search capabilities.
- [Introduction to Knowledge Mining](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Search/Introduction-to-Knowledge-Mining/page.md): This article explores knowledge mining, its challenges, and how Azure AI Search helps organizations efficiently extract insights from unstructured data.
- [Azure AI Search Services](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Search/Azure-AI-Search-Services/page.md): Azure AI Search Services provides a knowledge mining solution that uses AI to extract, process, and analyze data for enhanced search capabilities.
- [AI Enrichment](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Azure-AI-Search/AI-Enrichment/page.md): This article explores AI enrichment in Azure AI, transforming raw data into structured information to enhance search and analysis capabilities.

### Generative AI

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Module-Introduction/page.md): This article explores foundational concepts of Generative AI, language models, training processes, and practical applications like Microsoft Copilot services.
- [Introduction to Generative AI](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Introduction-to-Generative-AI/page.md): This article explores how Generative AI creates diverse content from simple instructions, covering applications like natural language generation, visual content creation, and code generation.
- [Language Models](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Language-Models/page.md): This lesson provides an overview of language models, focusing on the transformer models encoder and decoder in natural language processing.
- [Language Model Training](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Language-Model-Training/page.md): This article explains how language models are trained through tokenization, embeddings, and attention for converting natural language into structured data.
- [Foundation Models](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Foundation-Models/page.md): This lesson explores foundational models, focusing on language models that drive advances in Generative AI and serve as versatile bases for various AI tasks.
- [Large and Small Language Models](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Large-and-Small-Language-Models/page.md): This guide explores the differences between Large and Small Language Models to help choose the right model for specific applications.
- [What Are Copilots](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/What-Are-Copilots/page.md): This article explores how copilots, AI-powered assistants, enhance user interactions and productivity in applications through automation and personalized support.
- [Microsoft Copilot Services](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Microsoft-Copilot-Services/page.md): Microsoft Copilot Services enhance productivity and innovation by leveraging AI across daily tasks, business processes, and technical operations.
- [Copilot Prompts Considerations](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Copilot-Prompts-Considerations/page.md): This article explores creating effective prompts for Microsoft Copilot to ensure high-quality, relevant responses.
- [Developing And Extending Copilot](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Generative-AI/Developing-And-Extending-Copilot/page.md): This article explores tools for developing and extending Copilot services using Copilot Studio and Azure AI Studio for low-code and pro-code environments.

### Fundamentals of Azure OpenAI

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Azure-OpenAI/Module-Introduction/page.md): This article explores integrating OpenAI models with Azure, highlighting capabilities, services, and applications for innovative AI solutions.
- [What Is Azure OpenAI](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Azure-OpenAI/What-Is-Azure-OpenAI/page.md): Azure OpenAI is Microsofts cloud service for deploying and customizing large language models with enterprise-grade AI solutions.
- [Models Supported by Azure Open AI](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Azure-OpenAI/Models-Supported-by-Azure-Open-AI/page.md): This article provides a comprehensive guide on the models supported by Azure OpenAI and their unique capabilities for various applications.
- [Azure OpenAI Capabilities](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Fundamentals-of-Azure-OpenAI/Azure-OpenAI-Capabilities/page.md): Azure OpenAI provides AI services integrated into Azure, guiding users through setup, model management, and unique capabilities for enhancing applications.

### Responsible Generative AI

- [Module Introduction](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Responsible-Generative-AI/Module-Introduction/page.md): Learn to plan and implement a responsible generative AI solution through a comprehensive four-stage process.
- [Plan a Responsible Generative AI Solution](https://notes.kodekloud.com/docs/AI-900-Microsoft-Certified-Azure-AI-Fundamentals/Responsible-Generative-AI/Plan-a-Responsible-Generative-AI-Solution/page.md): This article outlines a structured approach for planning a responsible generative AI solution focusing on ethical, safe, and reliable performance in AI applications.