9781835885673_

Learn how to develop and implement AI/ML based solutions in Azure cloud environment and pass the Microsofts Azure AI Fundamentals (AI-900) certification exam with ease

Key Features

Learn about the different features and types of Azure AI services, namely, Computer Vision, Automated Machine Learning, NLP, and OpenAI
Understand common AI use cases such as image identification, prediction, sentiment analysis, and chatbots
Self-check your knowledge with two full-length mock exams
Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Microsofts Azure AI Fundamentals (AI-900) certification exam offers a comprehensive overview of key AI-related topics and tools used to work with AI solutions in the Azure cloud. It helps you to take your first step into an AI-shaped future regardless of your technical background. This exam guide explains the AI workloads including natural language processing (NLP) and large language models (LLMs) like ChatGPT. Youll explore Microsofts responsible AI principles like safety, accountability, etc. Youll understand the basics of machine learning (ML), including classification and deep learning and how to use training and validation datasets with Azure ML. Using Azure AI Vision, Face Detection, and Video Indexer services, youll understand computer vision related topics like image classification, object and facial detection, etc. Youll learn about NLP features like key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, Speech, and Translator services. Youll deep dive into identifying generative AI models and leveraging the Azure OpenAI Service for content generation. Youll be able to test your understanding of the topics covered with the help of mock exams. After reading this exam guide, youll be equipped to work with AI solutions in Azure and be well-prepared to pass the AI-900 exam.

What you will learn

Discusses various types of Artificial Intelligence (AI) workloads and services in Azure
Covers Microsofts guiding principles for responsible AI development and use
Includes fundamental principles of how AI and machine learning work
Explains how AI models can recognize content in images and documents
Details the features and use cases for Natural Language Processing (NLP)
Explores the capability of generative AI services

Who this book is for

Whether youre a cloud engineer, software developer or an aspiring data scientist, or any non-technical person interested in learning AI/ML concepts and capabilities on Azure, then this book is for you. In addition, it serves as a foundation for those wishing to appear for more advanced AI and Data Science related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). For using this book, youre not required to have experience in data science and software engineering. However, it is assumed that you have a basic knowledge of cloud concepts and client-server applications.

...(*_*)9781835885673_

Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry experts

Key Features

Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI
Explore AI use cases, such as image identification, chatbots, and more
Work through 145 practice questions under chapter-end self-assessments and mock exams
Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips

Book Description

The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud. This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). Youll explore Microsofts responsible AI principles like safety and accountability. Then, youll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, youll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, youll find chapter review questions with answers, provided as an online resource. By the end of this exam guide, youll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources.

What you will learn

Discover various types of artificial intelligence (AI)workloads and services in Azure
Cover Microsofts guiding principles for responsible AI development and use
Understand the fundamental principles of how AI and machine learning work
Explore how AI models can recognize content in images and documents
Gain insights into the features and use cases for natural language processing
Explore the capabilities of generative AI services

Who this book is for

Whether youre a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.

...(*_*)9781835885673_

Key Features

Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI
Explore AI use cases, such as image identification, chatbots, and more
Work through 145 practice questions under chapter-end self-assessments and mock exams
Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips

Book Description

The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud. This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You’ll explore Microsoft’s responsible AI principles like safety and accountability. Then, you’ll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you’ll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you’ll find chapter review questions with answers, provided as an online resource. By the end of this exam guide, you’ll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources.

What you will learn

Discover various types of artificial intelligence (AI)workloads and services in Azure
Cover Microsoft's guiding principles for responsible AI development and use
Understand the fundamental principles of how AI and machine learning work
Explore how AI models can recognize content in images and documents
Gain insights into the features and use cases for natural language processing
Explore the capabilities of generative AI services

Who this book is for

Whether you're a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.

Microsoft Azure AI Fundamentals AI-900 Exam Guide

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