Ai-900 Microsoft Azure Ai Fundamentals Exam Prep Guide

Complete guide to ace AI-900 Microsoft Azure AI certification exam

What you'll learn

Fundamental concepts of artificial intelligence and machine learning

How to use Microsoft Azure services for AI workloads

Building and deploying AI models with Azure Machine Learning

Utilizing Azure Cognitive Services for AI applications

Implementing responsible AI principles with Azure

Requirements

Basic understanding of cloud computing concepts

Familiarity with Microsoft Azure is helpful but not required

No prior experience in AI or machine learning needed

Description

AI-900 Microsoft Azure AI Fundamentals Exam Prep GuideWelcome to the ultimate AI-900 Microsoft Azure AI Fundamentals Exam Prep Guide! This course is designed to provide you with all the knowledge and skills you need to pass the AI-900 certification exam with confidence. The AI-900 certification is an essential stepping stone for those aspiring to delve into the world of artificial intelligence and Microsoft Azure.In this course, you will gain a deep understanding of the core concepts of artificial intelligence and how they are implemented using Microsoft Azure services. We'll cover everything from the basics of AI, machine learning, and data science to the specific Azure services that support these technologies, such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Services.Our course is structured to be comprehensive yet easy to follow, ensuring that you can learn at your own pace. We include a mix of theoretical lessons, practical exercises, and real-world examples to reinforce your understanding. Additionally, you will have access to quizzes and practice exams to test your knowledge and readiness for the certification exam.Key topics covered in this course include:Understanding AI workloads and considerationsFundamental principles of machine learning on AzureFeatures and services of Azure Cognitive ServicesBuilding AI solutions with Azure Machine LearningImplementing responsible AI with AzureWhether you're a beginner or have some experience in AI and cloud computing, this course will equip you with the necessary skills to succeed. By the end of the course, you'll be well-prepared to take the AI-900 certification exam and advance your career in the exciting field of artificial intelligence.Join us on this learning journey and take your first step towards becoming an AI expert with Microsoft Azure!

Overview

Section 1: Introduction to AI-900 and Course Overview

Lecture 1 Course Introduction

Lecture 2 Understanding AI-900 Certification

Section 2: Introduction to Artificial Intelligence

Lecture 3 What is Artificial Intelligence?

Lecture 4 AI in Everyday Life

Lecture 5 Types of AI

Section 3: Core Concepts of Machine Learning

Lecture 6 Introduction to Machine Learning

Lecture 7 Supervised vs. Unsupervised Learning

Lecture 8 Common Machine Learning Algorithms

Section 4: Azure AI Fundamentals

Lecture 9 Introduction to Microsoft Azure

Lecture 10 Azure Machine Learning

Lecture 11 Creating and Managing Azure Machine Learning Workspaces

Lecture 12 Training and Deploying Models with Azure Machine Learning

Section 5: Azure Cognitive Services

Lecture 13 Overview of Azure Cognitive Services

Lecture 14 Azure Cognitive Services for Vision

Lecture 15 Azure Cognitive Services for Language

Lecture 16 Azure Cognitive Services for Speech

Lecture 17 Azure Cognitive Services for Decision Making

Section 6: Building AI Solutions with Azure

Lecture 18 Developing AI Solutions

Lecture 19 Building Bots with Azure Bot Services

Lecture 20 Integrating AI with Other Azure Services

Section 7: Responsible AI

Lecture 21 Introduction to Responsible AI

Lecture 22 Fairness and Bias in AI

Lecture 23 AI Transparency and Accountability

Lecture 24 Security and Privacy in AI

Aspiring AI professionals and enthusiasts,Cloud computing professionals looking to expand their skillset,Students preparing for the AI-900 Microsoft Azure AI Fundamentals exam,Anyone interested in learning about artificial intelligence and its applications in the cloud