English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 59 lectures (6h 12m) | 2.44 GB
Clear the AI-900 Exam with Ease! Incl. Full Practice Exam | Learn Microsoft Azure AI, Machine Learning & Generative AI
The ONLY course you need to prepare and PASS the Microsoft Azure AI Fundamentals exam (AI-900) and become certified in AI on Azure!
Make your exam preparation easy and effective with this course — including a full practice exam!
This course teaches you every single topic you need to master the exam with ease.
This course guides you step-by-step to prepare in the best possible way for the exam.
Don’t waste your time on outdated resources—focus on what really matters to master the exam!
This course prepares you to build foundational knowledge of AI concepts, Azure services, and the tools you need to start your journey in AI and cloud technology.
What you’ll learn
- PASS the Microsoft Azure AI Fundamentals Exam (AI-900)
- Full Practice Exam with Detailed Explanations
- Access to All Downloadable Slides & Resources
- Up-to-Date & Complete Coverage of All Topics
- Hands-On Demonstrations & Real-World Scenarios
- Build a Strong Foundation in AI and Azure to kickstart your AI and cloud career
- Understand and apply Azure Vision Studio to build computer vision models
- Learn Azure Document Intelligence for automating document processing
- Master Azure Machine Learning to build, train, and deploy models
- Implement AI Speech services for speech-to-text and text-to-speech
Table of Contents
Let’s get started and set up!
1 Welcome
2 About the AI-900 Certification Exam
3 Working with the Course & How to Pass the Exam
4 Course Study Slides
5 Create Free Trial Azure Account
6 Basics of Azure Portal
7 Setting up a Budget in Azure
Introduction to Artificial Intelligence
8 Introduction to AI
9 Understanding Deep Learning
10 Azure AI Services The Fundamentals
11 Challenges and Risks with AI
Azure Computer Vision
12 Introduction to Computer Vision
13 Natural Language & Computer Vision
14 Azure AI Vision Overview
15 Analyzing Images in Azure Vision Studio (Hands-on)
16 Implementing Vision Services (Hands-on)
17 Optical Character Recognition (OCR)
18 Reading Text in Vision Studio (Hands-on)
19 Facial Recognition with Azure AI Face
20 Facial Analysis in Azure AI Face (Hands-on)
Azure Machine Learning
21 Machine Learning Fundamentals
22 Machine Learning Types
23 Classification
24 Regression
25 Clustering
26 Setting up Workspace in Azure Machine Learning (Hands-on)
27 Create a Compute Cluster & Launch Designer (Hands-on)
28 Clean & Transform Data in AzureML (Hands-on)
29 Train & Evaluate Model in Azure Machine Learning (Hands-on)
30 Deploy Endpoint in Azure Machine Learning (Hands-on)
31 Cleaning up Resources (Hands-on)
Azure Generative AI
32 Large Language Models (LLMs)
33 Essentials of Prompt Engineering
34 Prompting Techniques
35 Azure AI Foundry Overview
36 Azure AI Foundry (Hands-on)
37 Exploring Models in AI Foundry(Hands-on)
38 Exploring Azure OpenAI (Hands-on)
39 Exploring Playground & Enhancing Model (Hands-on)
40 Cleaning Up Resoures (Hands-on)
41 Microsoft Copilot Overview
Azure AI Language & Conversational AI
42 Azure AI Language Fundamentals
43 Question Answering with AI Language Studio (Hands-on)
44 Conversational Language Understanding
45 Speech Recognition & Synthesis
46 Azure AI Translator
47 Exploring Conversational Language Understanding (Hands-on)
48 Azure AI Speech Studio (Hands-on)
Document Intelligence & Knowledge Mining
49 Understanding Document Intelligence
50 Data Extraction with Document Intelligence Studio (Hands-on)
51 Knowledge Mining & AI Search
Responsible AI
52 Responsible AI Challenges and Strategies
53 Strategies against Bias & Variance
54 Core Dimensions of Responsible AI
55 Model Trade-Offs in Responsible AI
56 Principles of Human-Centered Design for AI
57 Content Filters in Azure AI Foundry (Hands-on)
Getting ready for the exam
58 Final tips & booking the exam
59 Getting the certification and posting it
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