AI-900 Course Azure AI Fundamentals with Virtual Simulations

سرفصل های دوره

Get prepared for the AI-900 exam with instructor led labs and hands on simulations available 24/7

1. Introduction

1. Welcome to the course!

2. Creating a free Azure Account

3. Order of concepts covered in the course

4.1 Introduction to AI.pdf

4. Introduction to artificial intelligence terminology

5. DONT SKIP! Using Assignments in the course

2. Identify features of common AI workloads

1. Understanding features of anomaly detection workloads

2. Example of univariate anomaly detection

3. Example of multivariate anomaly detection

4. What is computer vision workloads

5.1 natural-language-processing.zip

5. Conceptual usage of natural language processing workloads

6.1 knowledge mining.zip

6. Visualizing knowledge mining principals

7. SIMULATION Create an anomaly detector AI resource.html

3. Identify guiding principles for responsible AI

1.1 responsible ai.zip

1. Introduction to responsible AI

2.1 Fairness and Inclusiveness.pdf

2. Fairness and Inclusiveness in an AI solution

3.1 Reliability and Safety.pdf

3. Reliability and safety in an AI solution

4.1 Privacy and Security.pdf

4. Privacy and security in an AI solution

5.1 Transparency.pdf

5. Transparency in an AI solution

6.1 Accountability.pdf

6. Accountability in an AI solution

4. Identify common machine learning types

1. Create an Azure Machine Learning workspace for machine learning scenarios

2.1 regression machine learning.zip

2. What is regression machine learning

3. Building a pipeline with regression machine learning for cleaning a dataset

4. Implement a regression machine learning scenario

5. Evaluating the results of regression machine learning scenarios

6.1 classification machine learning.zip

6. What is classification machine learning

7. Implement a classification machine learning scenario in Azure

8.1 confusion matrix.zip

8. Understanding labels on a confusion matrix

9.1 clustering machine learning.zip

9. Clustering machine learning example

10. SIMULATION Create an Azure Machine Learning workspace.html

11. SIMULATION Use ML Studio to create a pipeline automobile sample.html

5. Describe core machine learning concepts

1. Understanding features and labels in a dataset for machine learning

2. How training and validation datasets are used in machine learning

3. SIMULATION Open the Census pipeline in ML Studio.html

6. Describe capabilities of visual tools in Azure Machine Learning Studio

1. Using Automated machine learning

2. Understanding Azure Machine Learning Designer

3. Cleaning up our existing Azure resources

4. SIMULATION Setup an Auto ML project for a PopularMovie.csv file..html

7. Identify common types of computer vision solutions

1.1 Azure Computer Vision Solutions.pdf

1. What are the Azure computer vision solutions

2. Creating an Azure computer vision resource

3. Image classification and object detection solutions in vision studio

4. Optical character recognition solutions in vision studio

5. Facial detection and facial analysis solutions in vision studio

6. Spatial analysis solutions in vision studio

8. Identify Azure tools and services for computer vision tasks

1. Using the POSTMAN tool for interacting with Azure AI Services

2. Implementing the capabilities of the Computer Vision service

3. Implementing the capabilities of the Custom Vision service

4. Implementing the capabilities of the Face service

5. Implementing the capabilities of the Form Recognizer service

6. SIMULATION Create a Computer Vision Resource using the F Tier.html

9. Identify features of common NLP Workload Scenarios

1. What are the Azure AI Language features

2. Creating a language service resource in Azure

3. Trying out key phrase extraction

4. Trying out key entity recognition

5. Trying out key sentiment analysis

6. Trying out key language modeling

7. Trying out key speech recognition and synthesis

8. Trying out key translation

10. Identify Azure tools and services for NLP workloads

1.1 language example.zip

1. Exploring the capabilities of the Language service

2. Exploring the capabilities of the Speech service

3. Exploring the capabilities of the Translator service

4.1 Questions and Answers Example.txt

4. Configuring Azure AI language to support questions and answers support

5. SIMULATION Create a language resource and open the language studio.html

11. Identify considerations for conversational AI solutions on Azure

1.1 Azure AI Bot Features.pdf

1. Understanding the features and uses for bots

2. Capabilities of Power Virtual Agents and the Azure Bot service

3. Remove existing resource

4. SIMULATION Create an Azure Bot using the free tier. Check channel health.html

12. FINAL - Where do I go from here

1. BONUS Lecture

139,000 تومان

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تولید کننده: Udemy