Azure Certification AI-900 – Azure AI Fundamentals

Azure Certification AI-900 – Azure AI Fundamentals

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 4 Hours | 1.32 GB

PASS Azure Certification AI-900 in a WEEKEND. Learn Azure AI Fundamentals.

Artificial Intelligence (AI) will revolutionize how we do things in the next decade. Cloud is making AI easy! This course is a wonderful introduction to the world of Cloud and Artificial Intelligence. AI-900 Azure AI Fundamentals validates foundational knowledge of machine learning and artificial intelligence concepts and related Microsoft Azure services.

AI-900 Azure AI Fundamentals helps you demonstrate knowledge of:

  • AI workloads and considerations
  • Fundamental principles of machine learning on Azure
  • Features of computer vision workloads on Azure
  • Features of Natural Language Processing (NLP) workloads on Azure
  • Features of conversational AI workloads on Azure.

Skills measured in AI-900 Azure AI Fundamentals

  • Describe AI workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure

Are you ready to get started on the amazing journey to achieve Azure Certification – AI-900 – Microsoft Azure AI Fundamentals?

Table of Contents

AI 900 – Microsoft Azure AI Fundamentals Certification – Getting Started
1 AI 900 – Azure AI Fundamentals – Introduction
2 Course Downloads – AI 900 – Azure AI Fundamentals

AI 900 – Microsoft Azure AI Fundamentals – Introduction to AI and ML
3 Step 01 – Introduction to Artificial Intelligence & Machine Learning
4 Step 02 – Exploring Machine Learning Examples
5 Step 03 – Exploring Machine Learning vs Traditional Programming
6 Step 04 – Machine Learning Fundamentals – Scenarios

AI 900 – Microsoft Azure AI Fundamentals – Exploring Cognitive Services
7 Step 01 – Exploring Pre Trained Models – Cognitive Services
8 Step 02 – Exploring Vision Related APIs
9 Step 03 – Exploring Vision – Some Terminology
10 Step 04 – Getting started with Computer Vision API
11 Creating Azure Account
12 Step 05 – Demo – Creating Cognitive Services Multi Service Account
13 Step 06 – Demo – Playing with Computer Vision API
14 Do you want to help us
15 Step 07 – Understanding Computer Vision API – OCR Operations
16 Step 08 – Getting Started with Face API
17 Step 09 – Exploring Form Recognizer API
18 Step 10 – Cognitive Services – Vision – Scenarios
19 Step 11 – Getting Started – Cognitive Services – Natural Language Processing
20 Step 12 – Exploring Text Analytics API
21 Step 13 – Exploring Translator and Speech API
22 Step 14 – Getting Started with Conversational AI
23 Step 15 – Demo – Playing with QnA Maker – 1 – Getting Started
24 Step 16 – Demo – Playing with QnA Maker – 2 – Setting up Knowledge Base
25 Step 17 – Demo – Playing with Azure Bot Service
26 Step 18 – Exploring LUIS Language Understanding Intelligent Service
27 Step 19 – Cognitive Services – NLP – Scenarios
28 Step 20 – Understanding Decision Services Make smarter decisions
29 Step 21 – Cognitive Services – Decision Services and Others
30 Step 22 – Cognitive Services – A Quick Review

AI 900 – Microsoft Azure AI Fundamentals Custom Vision & Azure Machine Learning
31 Course Downloads – Custom Vision – Images
32 Step 01 – Building ML Models – Custom Vision – 1
33 Step 02 – Building ML Models – Custom Vision – 2
34 Step 03 – Creating ML Models – Features and Labels
35 Step 04 – Creating ML Models – Choosing Technique
36 Step 05 – Machine Learning Fundamentals – Scenarios
37 Step 06 – Creating Machine Learning Models – Steps
38 Step 07 – Understanding Machine Learning Terminology
39 Step 08 – ML Stages and Terminology – Scenarios
40 Step 09 – Getting Started with Azure Machine Learning
41 Step 10 – Demo – Automated Machine Learning – Dataset and Compute
42 Step 11 – Demo – Setting up Automated ML Training
43 Step 12 – Demo – Exploring Automated ML Training
44 Step 13 – Demo – Creating Azure Machine Learning Pipeline
45 Step 14 – Demo – Model Evaluation – Regression Models
46 Step 15 – Model Evaluation – Classification Models
47 Step 16 – ML Model Evaluation – Scenarios
48 Step 17 – Azure Machine Learning – Terminology
49 Step 18 – Building Custom ML Models in Azure – Scenarios

AI 900 – Microsoft Azure AI Fundamentals – Responsible AI Principles
50 Step 01 – Most important AI considerations – Responsible AI Principles
51 Step 02 – AI considerations – Scenarios

AI 900 – Microsoft Azure AI Fundamentals – You are all set
52 AI 900 – Azure AI Fundamentals – Get Ready
53 AI 900 – Azure AI Fundamentals – Congratulations

Practice Test – Azure Certification AI-900 – Azure AI Fundamentals
54 Practice Test – Azure Certification AI-900 – Azure AI Fundamentals

Next Steps
55 Bonus Lecture

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