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Course at a glance
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- Dev & IT Pro Power Pack
| Release date | 4/6/2022 | |
| Level | Intermediate | |
| Runtime | 1h 46m | |
| Closed captioning | N/A | |
| Transcript | N/A | |
| eBooks / courseware | N/A | |
| Hands-on labs | N/A | |
| Sample code | Included | |
| Exams | Included |
Course description
The AI-900 exam is intended for candidates with both technical and non-technical backgrounds to demonstrate knowledge of Machine Learning and AI on the Azure platform.
This course covers the Domain "Describe features of computer vision workloads on Azure (15-20%) "
Prerequisites
Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.
Meet the expert
Eshant Garg has 16 years of extensive professional experience with expertise in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architect, Reporting, and Cloud Computing Technologies (Azure & AWS).
As a developer and architect, he has worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies.
Course outline
Module 4
Image Classification vs Object Detection (23:01)
- Introduction (00:08)
- Learning Objectives (01:43)
- Image Classification vs. Object Detection vs. Sem (05:02)
- Object Detection (06:17)
- Semantic Segmentation (05:42)
- Optical Character Recognition OCR (03:58)
- Summary (00:08)
Face Detection Recognition and Analysis (33:23)
- Introduction (00:08)
- Face Detection Recognition and Analysis (08:17)
- What is Cognitive Services (10:15)
- What is Computer Vision Services (14:34)
- Summary (00:08)
Computer Vision (25:58)
- Introduction (00:08)
- Demo: Computer Vision (09:55)
- Custom Vision Service (03:30)
- Demo: Custom Vision Service (12:15)
- Summary (00:08)
Face Service (24:29)
- Introduction (00:08)
- Face Service (01:44)
- Face Detection (01:16)
- Face Recognition (07:35)
- Questions (02:33)
- Form Recognizer Service (02:08)
- what is Form Recognizer (08:55)
- Summary (00:08)