Ai-900 Complete Course – Azure Ai Fundamentals
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Microsoft Azure AI Fundamentals | Complete Course | Hands on LABS | AI-900 | Exam Simulation | AI900 | 2025
What you’ll learn
Pass the AI-900 exam (Azure AI Fundamentals)
Learn the basic concepts of Cloud Computing and Azure
Experiment with 3 Full Hands on Labs
More than 150 original exam-style questions
Learn the main AI services in Azure
Requirements
Interest in Microsoft Azure AI. Anyone with the desire to gain knowledge will be in a position to pass the AI-900 exam.
IT experience is desirable but not required.
Description
Overview
Section 1: An AI Introduction
Lecture 1 Welcome and Course Structure
Lecture 3 AI Non-Machine Learning based?
Lecture 4 Introduction to Machine Learning
Lecture 5 ¿What is the Cloud?
Lecture 6 Cloud & AI
Section 2: [OPTIONAL] Introduction to Microsoft Azure
Lecture 7 Cloud Definition and Shared Resposibility Model
Lecture 8 Consumption Based Model
Lecture 9 The Azure Pricing Calculator
Lecture 10 Cloud Service Types
Lecture 11 Azure Physical Hierarchy
Lecture 12 Azure Resource Hierarchy
Lecture 13 Welcome to the Azure Portal
Lecture 14 Main AI Workloads on Azure
Lecture 15 AI gone wrong? The Need for a Responsible Approach
Lecture 16 The Responsible AI Principles
Section 4: Describe Fundamental Principles of Machine Learning on Azure
Lecture 17 Understanding Labels
Lecture 18 Machine Learning Techniques
Lecture 19 The Machine Learning Process
Lecture 20 Azure Machine Learning
Lecture 21 [LAB] Creating Azure Machine Learning Environment
Lecture 22 [LAB] Setting up Azure Machine Learning Environment
Lecture 23 [LAB] Azure Machine Learning Studio Tour
Lecture 24 [LAB w/ GUIDE] Classification on Azure Machine Learning
Lecture 25 [LAB] Regression on Azure Machine Learning
Lecture 26 An Introduction to Neural Networks
Lecture 27 [OPTIONAL HANDS ON LAB GUIDED LAB] Titanic Survival
Section 5: Describe features of Computer Vision Workloads
Lecture 28 What is Computer Vision
Lecture 29 Object Detection
Lecture 30 [LAB] Configuring Computer Vision for the first time
Lecture 31 [LAB] Object Detection
Lecture 32 Optical Character Recognition (OCR)
Lecture 33 [LAB] OCR
Lecture 34 Facial Analysis
Lecture 35 [LAB] Facial Analysis
Lecture 36 Image Classification (Custom Vision)
Lecture 37 [LAB] Configuring Custom Vision for the First Time
Lecture 38 [LAB ] Image Classification with Custom Vision
Lecture 39 Summary: Computer Vision Azure Services Used
Lecture 40 [OPTIONAL HANDS ON GUIDED LAB] Image Classification with Custom Vision
Section 6: Describe Features of Natural Language Processing (NLP) workloads on Azure
Lecture 41 What is Natural Language Processing?
Lecture 42 Key Phrase Extraction
Lecture 43 [LAB] Key Phrase Extraction
Lecture 44 Entity Recognition
Lecture 45 [LAB] Entity Recognition
Lecture 46 Sentiment Analysis
Lecture 47 [LAB] Sentiment Analysis
Lecture 48 Voice Transcription and Recognition
Lecture 49 [LAB] Configuring Speech API
Lecture 50 [LAB] Voice Transcription
Lecture 51 Voice Synthesis
Lecture 52 [LAB] Voice Synthesis
Lecture 53 Translation
Lecture 54 [LAB] Translation
Lecture 55 Summary: NLP Azure Services Used
Lecture 56 [OPTIONAL HANDS ON GUIDED LAB] Calling the Language Service API from Terminal
Section 7: Describe Features of Generative AI Workloads on Azure
Lecture 57 What is Generative AI?
Lecture 58 What is a Language Model?
Lecture 59 About Language Models (LM) and GANs
Lecture 60 Large (LLM) and Small (SLM) Language Models for GenAI
Lecture 61 Azure OpenAI
Lecture 62 Interacting with Azure OpenAI
Lecture 63 [LAB] Configuring Azure OpenAI
Lecture 64 [LAB] Azure OpenAI Chat (ChatGPT like)
Lecture 65 [LAB] Azure OpenAI Image Generation
Lecture 66 [LAB] Azure OpenAI Source Code Generation
Lecture 67 Responsible Generative AI
Section 8: Exam Simulation
Anyone interested in AI and the cloud, who wants to learn AI in Azure and aims to pass the Azure AI Fundamentals exam.
