Ai-900: Microsoft Certified: Azure Ai Fundamentals

Master Azure AI and accelerate your career by passing the Microsoft AI-900 Certification Exam

What you'll learn

Introduction to AI on Azure

Azure AI Services Overview

Responsible and Ethical AI

Prepare for the Microsoft AI-900 Certification Exam

Requirements

Recommended you take the AZ-900 but not required

Description

AI-900: Microsoft Certified: Azure AI FundamentalsExplore the core concepts of artificial intelligence and how Azure AI services can be used to create smart, efficient solutions. This foundational certification course covers machine learning, computer vision, and natural language processing, giving you the knowledge to integrate AI into real-world applications. Learn how to harness Azure AI tools while following responsible AI principles to build innovative and ethical solutions.Course Objectives:By the end of this course, participants will have learned:Introduction to AI on Azure: Gain a fundamental understanding of artificial intelligence concepts and how they are implemented using Azure AI services. Learn about machine learning, computer vision, natural language processing, and responsible AI principles to build ethical and scalable AI solutions.Azure AI Services Overview: Explore key Azure AI services, including Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. Understand how these services enable AI-powered applications, from speech and image recognition to automated decision-making and chatbot development.Responsible and Ethical AI: Learn the core principles of responsible AI, including fairness, transparency, and privacy. Discover how Azure tools help ensure compliance with ethical guidelines, making AI solutions more trustworthy and accessible.Who Should Enroll:Business and IT professionals looking to understand AI concepts.Students and newcomers exploring AI and cloud technologies.Decision-makers seeking insights into AI capabilities and applications.Developers and engineers interested in getting started with AI on Azure.Prerequisites:This course is designed for beginners, with no prior AI or programming experience required. A basic understanding of cloud computing and general technology concepts can be helpful but is not necessary.Course Format:This digital course offers a mix of interactive video lessons, hands-on exercises, and real-world AI applications. It is self-paced, allowing learners to study at their own convenience, with most completing it in 1-2 weeks depending on experience.Certification:Upon completing this course and passing the AI-900: Microsoft Azure AI Fundamentals exam, participants earn the Microsoft Certified: Azure AI Fundamentals certification. This validates their foundational knowledge of AI concepts and Azure AI services, helping them advance in AI-related careers.Enroll today to advance your skills in Azure AI and take a significant step forward in your IT career.

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Course Supplements

Lecture 3 Lecture 3: Study Group and Social Media

Section 2: Module 1

Lecture 4 What is AI?

Lecture 5 Principles of Responsible AI

Lecture 6 What is Machine Learning?

Lecture 7 Types of Machine Learning

Lecture 8 Model Training & Evaluation

Lecture 9 Deep Learning

Lecture 10 Demo - Explore Automated Machine Learning in Azure Machine Learning Studio

Section 3: Module 2

Lecture 11 Module 2 - Learning Objectives

Lecture 12 Azure AI Vision Services

Lecture 13 Understanding Images in AI and Computer Vision

Lecture 14 Azure AI Image Processing

Lecture 15 Convolutional Neural Networks

Lecture 16 Azure AI Vision Multimodal Models

Lecture 17 Image Analysis 4.0 with AI Vision Service

Lecture 18 Demo - Analyze Images in Vision Studio

Lecture 19 Reading Text with OCR

Lecture 20 Demo - Read Text in Vision Studio

Section 4: Module 3

Lecture 21 Module 3 - Learning Objectives

Lecture 22 What is Natural Language Processing?

Lecture 23 NLP in Azure

Lecture 24 Language Service, Speech Service and Translator Service

Lecture 25 Demo - Azure AI Language Services - Question Answering

Lecture 26 What is Conversational Language Understanding?

Lecture 27 Demo - Use Conversational Language Understanding with Language Studio

Lecture 28 Demo - Explore Speech Studio

Lecture 29 Demo - Azure AI Translator Service

Lecture 30 Demo - Analyze Text with Language Studio

Section 5: Module 4

Lecture 31 Module 4 - Learning Objectives

Lecture 32 Azure AI Document Intelligence

Lecture 33 Demo - Extract form Data in Document Intelligence Studio

Lecture 34 Azure AI Knowledge Mining

Lecture 35 What is Azure AI Search?

Lecture 36 Elements of a Search Solution

Lecture 37 Demo - Azure AI Search for Knowledge Mining

Section 6: Module 5

Lecture 38 Module 5 - Learning Objectives

Lecture 39 What is Generative AI?

Lecture 40 Language Models

Lecture 41 Language Models - Tokenization

Lecture 42 Language Models - Embeddings

Lecture 43 Language Models - Attention

Lecture 44 Leveraging Pre-Trained Language Models on Microsoft Azure

Lecture 45 Generative AI Assistants and Microsoft Copilot

Lecture 46 Crafting Effective Prompts for Generative AI

Lecture 47 Extending Microsoft Copilot and Developing & Copilot-like Agents

Lecture 48 What is Azure AI Foundry?

Lecture 49 What Solutions Does Azure AI Foundry Bring Together?

Lecture 50 How Does Azure AI Foundry Work?

Lecture 51 Microsoft's Responsible Generative AI Guidance

Business and IT professionals looking to understand AI concepts.,Students and newcomers exploring AI and cloud technologies.,Decision-makers seeking insights into AI capabilities and applications.,Developers and engineers interested in getting started with AI on Azure.