AI-900: Microsoft Certified: Azure AI Fundamentals

Name: AI-900: Microsoft Certified: Azure AI Fundamentals
Rating: 4.5 (10 reviews)

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

Created byRefactored LLC, Ameer Jassim

Last updated 3/2025

English

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

Course content

6 sections • 51 lectures • 3h 43m total length

Course Introduction0:59
Course Supplements0:03
Lecture 3: Study Group and Social Media0:14

What is AI?5:12
Explore artificial intelligence fundamentals: perception, reasoning, learning, and natural interactions, and see AI workloads like machine learning, computer vision, natural language processing, and generative AI.
Principles of Responsible AI2:53
What is Machine Learning?4:02
Discover how machine learning uses training data, features, labels, and algorithms to build models that identify patterns and make predictions and decisions.
Types of Machine Learning3:30
Explore supervised and unsupervised machine learning, including regression and classification (binary, multi-class, multi-label), and clustering, with real-world examples like sales, property prices, and customer segmentation.
Model Training & Evaluation3:14
Deep Learning3:22
Demo - Explore Automated Machine Learning in Azure Machine Learning Studio8:33

Module 2 - Learning Objectives1:06
Azure AI Vision Services2:17
Understanding Images in AI and Computer Vision4:39
Azure AI Image Processing2:33
Convolutional Neural Networks3:58
Azure AI Vision Multimodal Models2:51
Image Analysis 4.0 with AI Vision Service7:40
Demo - Analyze Images in Vision Studio6:15
Reading Text with OCR4:18
Explore optical character recognition (OCR) with Azure AI Vision to extract printed and handwritten text from images and documents, using cloud OCR for images and Document Intelligence for text-heavy documents.
Demo - Read Text in Vision Studio2:32
Explore optical character recognition with Azure AI vision using Vision Studio to extract text from images without writing code, converting it into searchable, editable data for automated processing.

Module 3 - Learning Objectives1:01
Explore natural language processing (NLP) and its use in Azure AI services, recognize when NLP and conversational AI apply, identify services that enable text analysis to extract insights from data.
What is Natural Language Processing?3:26
NLP in Azure6:19
Language Service, Speech Service and Translator Service5:56
Demo - Azure AI Language Services - Question Answering5:54
Explore Azure AI language services with Language Studio to build and train a knowledge base for question answering, deploy it, and enhance customer interactions and automations.
What is Conversational Language Understanding?5:34
Demo - Use Conversational Language Understanding with Language Studio9:42
Demo - Explore Speech Studio5:07
Demo - Azure AI Translator Service4:59
Explore how the Azure AI translator translates text and speech across languages in real time via the Azure portal, with language detection and access to keys, endpoints, and web APIs.
Demo - Analyze Text with Language Studio5:44

Module 4 - Learning Objectives0:58
Azure AI Document Intelligence3:46
Demo - Extract form Data in Document Intelligence Studio5:24
Azure AI Knowledge Mining4:26
What is Azure AI Search?4:04
Explore how Azure AI search ingests, indexes, and queries structured and unstructured content with full text and vector search, enabling AI powered enrichment and semantic ranking for retrieval augmented generation.
Elements of a Search Solution5:29
Demo - Azure AI Search for Knowledge Mining14:54

Module 5 - Learning Objectives1:46
What is Generative AI?3:55
Language Models4:59
Language Models - Tokenization2:24
Language Models - Embeddings3:54
Language Models - Attention5:49
Explore how transformer attention builds context for language models by using self-attention in encoder and decoder blocks, with multi-head attention to predict the next token from token embeddings.
Leveraging Pre-Trained Language Models on Microsoft Azure7:25
Generative AI Assistants and Microsoft Copilot4:21
Crafting Effective Prompts for Generative AI4:16
Extending Microsoft Copilot and Developing & Copilot-like Agents3:26
What is Azure AI Foundry?3:15
What Solutions Does Azure AI Foundry Bring Together?5:10
Azure AI Foundry unifies models, catalogs, and prompt flow with OpenAI service and AI services in a single workspace, enabling developers to build, deploy, and scale AI solutions.
How Does Azure AI Foundry Work?4:49
Microsoft's Responsible Generative AI Guidance5:33

Requirements

Recommended you take the AZ-900 but not required

Description

AI-900: Microsoft Certified: Azure AI Fundamentals

Explore 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.

Who this course is for:

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.

AI-900: Microsoft Certified: Azure AI Fundamentals

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 1min

Module 17 lectures • 31min

Module 210 lectures • 38min

Module 310 lectures • 54min

Module 47 lectures • 39min

Module 514 lectures • 1hr 1min

Requirements

Description

Who this course is for: