Ai-900 Complete Course - Azure Ai Fundamentals
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.62 GB | Duration: 5h 43m

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 Artificial Intelligence

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

Welcome to My Course: Prepare for the Azure AI Fundamentals (AI-900) Exam the Best Way Possible!This course is designed to help you learn the fundamentals of Artificial Intelligence (AI) in Azure and get fully prepared for the AI-900 certification exam. Whether you're new to AI or already have some tech experience and want to explore the power of AI in the cloud, this course has everything you need to master the essential concepts and start applying AI in real-world scenarios.Why Choose This Course?Clear and accessible explanations - Perfect for all skill levels, from beginners to those with experience looking for practical AI applications.Exam like questions -  at the end of each chapter to reinforce your learning and a full exam simulation at the end of the course.Hands-on and engaging approach - Features real demonstrations of the most widely used AI services in Azure.Three hands-on labs with full materials - Build your own machine learning models, perform computer vision tasks, and explore natural language processing in a practical way.Based on the official AI-900 exam syllabus - Updated with the latest developments in AI and Azure.What's Included?6.5 hours of video content covering all key AI-900 exam topics.150+ exam-style questions, organized into quizzes by topic and full-length practice exams.Hands on Step by Step LABS: for Classic Machine Learning, NLP and Computer Vision.Full exam simulation to assess and strengthen your knowledge.Optional Introduction to Cloud Computing chapter to help you get up to speed if needed.Detailed explanations for all correct answers to exam-style questions.Hands-on demonstrations of key AI services, including:Azure Machine LearningComputer VisionNatural Language ProcessingGenerative AI - Azure OpenAIHow to Get Started? Check out our free preview videos, and get on!Enroll today and take your career to the next level with Azure AI!

Overview

Section 1: An AI Introduction

Lecture 1 Welcome and Course Structure

Lecture 2 An Introduction to Artificial Intelligence (AI)

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

Section 3: Describe Artificial Intelligence Workloads and Considerations

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.

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