Azure AI Fundamentals Certification (AI-900)
Learn about the fundamental principles of machine learning on Azure, implementing ML workloads on Azure
Get Access NowUSD $24.00
USD $60.00
(60% off)
This Course Includes:
1 Year Access
4
Hours of Video
66
Lectures
16
Follow Alongs
1
Cheat Sheets
0
Flashcards
0
Practice Exams
Quiz on Every Lecture
Certificate of Completion
Course Outline
Introduction
13m 49s
Meet Your Instructor
1m 28s
Lecture
Watch
Introduction
7m 46s
Lecture
Watch
Exam Guide Breakdown
4m 35s
Lecture
Watch
ML and AI Concepts
20m 11s
Layers of Machine Learning
1m 4s
Lecture
Key Elements of AI
54s
Lecture
DataSets
1m 36s
Lecture
Labeling
1m 2s
Lecture
Supervised and Unsupervised Reinforcement
1m 22s
Lecture
Netural Networks and Deep Learning
2m 12s
Lecture
GPU
52s
Lecture
CUDA
1m 4s
Lecture
Simple ML Pipeline
2m 6s
Lecture
Forecast vs Prediction
41s
Lecture
Metrics
1m 30s
Lecture
Juypter Notebooks
1m 11s
Lecture
Regression
1m 33s
Lecture
Classification
50s
Lecture
Clustering
41s
Lecture
Confusion Matrix
1m 33s
Lecture
Common AI Workloads
5m 54s
Anamaly Detection AI
49s
Lecture
Computer Vision AI
2m 2s
Lecture
Natural Language Processing AI
1m 33s
Lecture
Conversational AI
1m 30s
Lecture
Responsible AI
16m 41s
Responsible AI
49s
Lecture
Fairness
55s
Lecture
Relaibility and safety
48s
Lecture
Privacy and security
41s
Lecture
Inclusiveness
35s
Lecture
Transparency
32s
Lecture
Accountability
41s
Lecture
Guidelines for Human AI Interaction
15s
Lecture
Follow Along Guidelines for Human AI Interaction
11m 25s
Follow Along
Cognitive Services
28m 20s
Azure Cognitive Services
2m 4s
Lecture
Congitive API Key and Endpoint
23s
Lecture
Knowledge Mining
4m 30s
Lecture
Face Service
1m 44s
Lecture
Speech and Translate Service
1m 30s
Lecture
Text Analytics
2m 54s
Lecture
OCR Computer Vision
1m 16s
Lecture
Form Recognizer
2m 22s
Lecture
Form Recognizer Custom Models
42s
Lecture
Form Recognizer Prebuilt Models
1m 55s
Lecture
LUIS
2m 21s
Lecture
QnA Maker
4m 17s
Lecture
Azure Bot Service
2m 22s
Lecture
ML Studio
11m 7s
Azure Machine Learning Service
1m 21s
Lecture
Studio Overview
1m 25s
Lecture
Studio Compute
1m 5s
Lecture
Studio Data Labeling
53s
Lecture
Data Stores
45s
Lecture
Datasets
1m 6s
Lecture
Experiments
28s
Lecture
Pipelines
1m 3s
Lecture
ML Designer
39s
Lecture
Model Registry
23s
Lecture
Endpoints
1m 12s
Lecture
Notebooks
47s
Lecture
AutoML
9m 5s
Introduction to AutoML
2m 30s
Lecture
Data Guard Rails
42s
Lecture
Automatic Featurization
1m 48s
Lecture
Model Selection
1m
Lecture
Explanation
50s
Lecture
Primary Metrics
1m 48s
Lecture
Validation Type
27s
Lecture
Custom Vision
6m 6s
Introduction to Custom Vision
40s
Lecture
Project Types and Domains
2m 52s
Lecture
Custom Vision Features
2m 34s
Lecture
Follow Alongs
1h 58m 49s
Setup
10m 54s
Follow Along
Computer Vision
3m 38s
Follow Along
Custom Vision Classification
6m 34s
Follow Along
Custom Vision Object Detection
5m 52s
Follow Along
Face Service
3m 8s
Follow Along
Form Recognizer
3m 27s
Follow Along
OCR
4m 49s
Follow Along
Text Analysis
3m 39s
Follow Along
QnAMaker
18m 30s
Follow Along
LUIS
5m 41s
Follow Along
AutoML
17m 13s
Follow Along
Designer
10m 14s
Follow Along
MNIST
19m 35s
Follow Along
Data Labeling
4m 24s
Follow Along
Clean up
1m 11s
Follow Along
CheatSheet
11m 26s
CheatSheet
11m 26s
Cheatsheet