Overview

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain a strong understanding of Azure AI fundamentals, preparing you for the Microsoft AI-900 exam. From grasping the core concepts of Artificial Intelligence (AI) to understanding how machine learning, computer vision, and natural language processing work on Azure, you’ll learn how AI is applied in real-world scenarios. By the end of this course, you will be able to describe Azure AI services, workloads, and principles in depth, providing you with the skills to develop AI solutions using Azure's advanced tools. Throughout the course, you’ll explore fundamental AI concepts and tools such as Azure Cognitive Services, Azure Machine Learning, and Azure Cognitive Search. You'll dive into machine learning workflows, covering regression, classification, and clustering techniques, and understand how Azure facilitates these processes. The course also offers insights into the practical application of AI through demonstrations and hands-on sessions with Azure tools. Whether you're new to Azure or aiming to solidify your knowledge, this course will guide you step-by-step through the fundamentals of Azure AI. The curriculum also prepares you for the AI-900 exam with real-world example questions, helping you hone your critical thinking and exam techniques. This course is ideal for individuals seeking to break into AI with Microsoft Azure, those preparing for the AI-900 certification exam, or anyone interested in understanding AI workloads on the Azure platform. No prior AI or Azure knowledge is required, making it suitable for beginners in the field.

Syllabus

Introduction to Azure AI-900

In this module, we will provide an overview of the AI-900 exam, walking through its contents and key topics. We’ll also discuss strategies for effective exam preparation, ensuring you’re ready for success on test day.

Objective 1: Describe AI Workloads and Considerations

In this module, we will dive into the core concepts of Artificial Intelligence, differentiating it from other fields like Machine Learning and Data Science. We will also explore Azure’s AI services, responsible AI principles, and how these technologies can be used effectively within Microsoft Azure.

Objective 2: Describe Fundamental Principles of Machine Learning on Azure

In this module, we will explore fundamental machine learning principles, focusing on techniques like regression, classification, and clustering. We’ll also cover the tools and features within Azure Machine Learning that help streamline the machine learning process.

Objective 3: Describe features of computer vision workloads on Azure

In this module, we will explore how Azure’s computer vision services can be applied to solve real-world challenges. From analyzing images and videos to training custom models, you will gain insight into the diverse applications of computer vision in Azure.

Objective 4: Describe Features of Natural Language Processing Workloads on Azure

In this module, we will delve into the core features of Natural Language Processing (NLP) on Azure, covering text and speech analytics, sentiment analysis, translation, and language understanding tools. You’ll learn how to build intelligent systems that process and respond to human language.

Objective 5: Describe features of conversational AI Workloads on Azure

In this module, we will focus on building conversational AI solutions using Azure services such as QnA Maker and Language Understanding. We will guide you through creating intelligent bots, enhancing them with active learning, and deploying them in real-world scenarios.

Answering Questions for AI-900: How to think and how to answer

In this module, we will prepare you for the AI-900 exam by reviewing example questions and offering strategies for effectively answering them. You will learn how to approach the questions with a critical mindset and improve your overall exam readiness.