Azure AI Fundamentals Certification (AI-900)
Learn about the fundamental principles of machine learning on Azure, implementing ML workloads on Azure
Get Access NowUSD $29.00
USD $60.00
(50% off)
This Course Includes:
1 Year Access
3.5
Hours of Video
66
Lectures
16
Follow Alongs
8
Cheat Sheets
78
Flashcards
3
Practice Exams
Individual Video Quizlets
Certificate of Completion
Course Outline
Introduction
13m 49s
Meet Your Instructor
1m 28s
Lecture
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Introduction
7m 46s
Lecture
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Exam Guide Breakdown
4m 35s
Lecture
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ML and AI Concepts
20m 11s
Layers of Machine Learning
1m 4s
Lecture
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Key Elements of AI
54s
Lecture
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DataSets
1m 36s
Lecture
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Labeling
1m 2s
Lecture
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Supervised and Unsupervised Reinforcement
1m 22s
Lecture
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Netural Networks and Deep Learning
2m 12s
Lecture
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GPU
52s
Lecture
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CUDA
1m 4s
Lecture
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Simple ML Pipeline
2m 6s
Lecture
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Forecast vs Prediction
41s
Lecture
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Metrics
1m 30s
Lecture
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Juypter Notebooks
1m 11s
Lecture
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Regression
1m 33s
Lecture
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Classification
50s
Lecture
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Clustering
41s
Lecture
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Confusion Matrix
1m 33s
Lecture
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Common AI Workloads
5m 54s
Anomaly Detection AI
49s
Lecture
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Computer Vision AI
2m 2s
Lecture
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Natural Language Processing AI
1m 33s
Lecture
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Conversational AI
1m 30s
Lecture
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Responsible AI
16m 41s
Responsible AI
49s
Lecture
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Fairness
55s
Lecture
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Reliability and safety
48s
Lecture
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Privacy and security
41s
Lecture
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Inclusiveness
35s
Lecture
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Transparency
32s
Lecture
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Accountability
41s
Lecture
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Guidelines for Human AI Interaction
15s
Lecture
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Follow Along Guidelines for Human AI Interaction
11m 25s
Follow Along
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Cognitive Services
26m 45s
Azure Cognitive Services
2m 4s
Lecture
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Congitive API Key and Endpoint
23s
Lecture
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Knowledge Mining
4m 30s
Lecture
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Face Service
1m 44s
Lecture
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Speech and Translate Service
1m 30s
Lecture
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Text Analytics
2m 54s
Lecture
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OCR Computer Vision
1m 16s
Lecture
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Form Recognizer
47s
Lecture
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Form Recognizer Custom Models
42s
Lecture
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Form Recognizer Prebuilt Models
1m 55s
Lecture
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LUIS
2m 21s
Lecture
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QnA Maker
4m 17s
Lecture
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Azure Bot Service
2m 22s
Lecture
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ML Studio
11m 7s
Azure Machine Learning Service
1m 21s
Lecture
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Studio Overview
1m 25s
Lecture
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Studio Compute
1m 5s
Lecture
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Studio Data Labeling
53s
Lecture
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Data Stores
45s
Lecture
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Datasets
1m 6s
Lecture
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Experiments
28s
Lecture
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Pipelines
1m 3s
Lecture
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ML Designer
39s
Lecture
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Model Registry
23s
Lecture
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Endpoints
1m 12s
Lecture
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Notebooks
47s
Lecture
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AutoML
9m 5s
Introduction to AutoML
2m 30s
Lecture
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Data Guard Rails
42s
Lecture
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Automatic Featurization
1m 48s
Lecture
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Model Selection
1m
Lecture
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Explanation
50s
Lecture
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Primary Metrics
1m 48s
Lecture
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Validation Type
27s
Lecture
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Custom Vision
6m 6s
Introduction to Custom Vision
40s
Lecture
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Project Types and Domains
2m 52s
Lecture
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Custom Vision Features
2m 34s
Lecture
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Follow Alongs
1h 58m 49s
Setup
10m 54s
Follow Along
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Computer Vision
3m 38s
Follow Along
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Custom Vision Classification
6m 34s
Follow Along
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Custom Vision Object Detection
5m 52s
Follow Along
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Face Service
3m 8s
Follow Along
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Form Recognizer
3m 27s
Follow Along
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OCR
4m 49s
Follow Along
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Text Analysis
3m 39s
Follow Along
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QnAMaker
18m 30s
Follow Along
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LUIS
5m 41s
Follow Along
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AutoML
17m 13s
Follow Along
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Designer
10m 14s
Follow Along
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MNIST
19m 35s
Follow Along
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Data Labeling
4m 24s
Follow Along
Clean up
1m 11s
Follow Along
CheatSheet
11m 26s
CheatSheet
11m 26s
Cheatsheet
Watch