Prepare for the Azure AI Fundamentals certification examination. This book covers the basics of implementing various Azure AI services in your business. The book not only helps you get ready for the AI-900 exam, but also helps you get started in the artificial intelligence (AI) world.

The book starts with a short overview of the AI-900 exam and takes you through the exam prerequisites and the structure of the exam. You will then learn basic and advanced AI in Azure. Principles of responsible AI, Azure Machine Learning (ML), Azure Cognitive Services, and Bot Services are covered, followed by a practice test. You will go through ML fundamental concepts, model training, and validation along with case studies and a practice test for better preparation. The book includes the fundamentals of Azure and computer vision cognitive services. Various vision services and face services are demonstrated as well as analyzing image and text using OCR. You will understand concepts of natural language processing (NLP) such as text analysis, language modelling, entity recognition, sentiment analysis, speech recognition, and synthesis and also learn how to leverage Microsoft Azure for NLP.

After reading this book, you will be able to implement various Azure AI services and prepare for the Azure AI Fundamentals certification exam, AI-900.

What Will You Learn

Understand AI fundamentals and responsibilities
Know the Microsoft Azure offerings for AI
Understand foundational concepts for ML and Azure offerings for ML
Understand Azure Cognitive Services such as Custom Vision, Face, Form Recognizer, Text-to-Speech, and Image Analysis

Auteur

Krunal S. Trivedi is a Microsoft Certified Trainer and a Microsoft Azure MVP for the past 5 years. He has been providing technical training on a variety of Microsoft and non-Microsoft technologies to IT corporations all over the world for the past 14 years. He is an enthusiastic speaker, trainer, writer, and author. Krunal is actively involved in project architecting, building solutions using modern edge technologies such as React, Angular, Docker, and Microsoft Azure, in addition to training. He has worked on numerous projects and products, from requirement gathering to project deployment using the Agile methodology and DevOps pipeline.