Monthly Subscription Starting at AED 99 + VAT

Developing AI Applications on Azure
  • Level Expert
  • المدة 16 ساعات hours
  • الطبع بواسطة LearnQuest
  • Offered by

عن

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.

الوحدات

Module Introduction

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • module 1 intro

1 Readings

  • Exercise: Sign up for a free Azure account or login to your existing one.

Definition of AI and machine learning

    • 1 Videos
    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Application of AI and Machine Learning

1 Videos

  • Definition of AI and Machine Learning

1 Readings

  • Definition of AI

Machine Learning Algorithms

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Machine Learning Alogrithms

1 Readings

  • Comparison of machine learning algorithms

Python Basics

    • 3 Videos
    • 2 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Practice: Python Collections
  • AI and ML Definitions

3 Videos

  • Python Basics
  • Python Collections
  • Python Variables

2 Readings

  • Links to learn more about python
  • Exercise Python Basics notebook

Scientific Python Ecosystem and Machine Learning Libraries

    • 3 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Deep Learning

3 Videos

  • Python Scientific Ecosystem and ML Libraries
  • Linear Regression with Scikit Learn
  • Logistic Regression with Scikit Learn

1 Readings

  • Exercise: Scikit-learn models for regression and classification

Module Conclusion

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Module 1: Introduction to Artificial Intelligence

1 Videos

  • Module conclusion

Module 2 Intro

    • 1 Videos
Show info about module content

1 Videos

  • module 2 intro

AI Tools

    • 1 Videos
Show info about module content

1 Videos

  • AI Tools

Standardized AI processes and Azure Resources

    • 1 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Data Science Project Management

1 Videos

  • aiprocesses

TDSP steps in detail

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • TDSP Stages

1 Readings

  • Microsoft Team Data Science Process

TDSP suggested roles

    • 4 Videos
    • 1 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Practice: TDSP
  • ML Studio

4 Videos

  • TDSP General Manager Tasks
  • TDSP Task Lead Tasks
  • TDSP Project Lead Tasks
  • TDSPData Scientist Tasks

1 Readings

  • Exercise: TDSP in Azure Devops

Module 2 Conclusion

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Module 2: Standardized AI Processes and Azure Resources

1 Videos

  • Module 2 Conclusion

Module 3 Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Module 3 Introduction

Azure Cognitive Services Overview

    • 1 Videos
    • 1 Discussion
Show info about module content

1 Discussions

  • Practical Application of Cognitive API's

1 Videos

  • Cognitive Services Overview

Azure Computer Vision API

    • 2 Videos
    • 2 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Search API

2 Videos

  • Azure Computer Vision API
  • face api

2 Readings

  • Exercise: Computer Vision Notebook
  • Exercise: Face API Notebook

Other Available APIs

    • 1 Videos
Show info about module content

1 Videos

  • Other Cognitive Services API's

Sentiment Analysis with the Text Analytics API

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Translation

1 Videos

  • Sentiment analysis

1 Readings

  • Exercise: Sentiment Analysis Notebook

Module 3 Conclusion

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Module 3: Azure Cognitive APIs

1 Videos

  • Module 3 Conclusion

Module 4 Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Module 4 Introduction

What is Azure ML Service?

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Azure ML Service

1 Readings

  • Microsoft Azure Machine Learning Documentation

Creating an Azure ML Workspace

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Azure ML Process

1 Videos

  • Ways to create an ML Workspace

1 Readings

  • Exercise: Workspace Notebook

Experiments, Runs, and Models

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice: Azure ML Workspace

1 Videos

  • Setting up Experiments

Develop and register a model

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice: Train

1 Videos

  • Train and register a model

Train a model on the Cloud

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Train Process Step

1 Videos

  • Train a model using Azure ML

1 Readings

  • Exercise: Model Training Notebook

Module 4 Conclusion

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Module 4: Azure Machine Learning Service

1 Videos

  • Module 4 Conclusion

Module 5 Introduction

    • 1 Videos
Show info about module content

1 Videos

  • Module 5 Introduction

Connect to your Workspace

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice: Saving Connections

1 Videos

  • Connect to your Workspace

Reference your registered Model

    • 1 Videos
Show info about module content

1 Videos

  • Reference your Registered Model

Prepare to Deploy

    • 1 Videos
Show info about module content

1 Videos

  • defining scoring and dependencies

Container image and Deployment config

    • 1 Videos
Show info about module content

1 Videos

  • Define Deployment Config

Deploy Container image

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Practice: SDK Container

1 Videos

  • Deploy Container Image

Sending JSON Requests to the Deployed Model

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Model Registry

1 Videos

  • Test the Deployed Image

1 Readings

  • Exercise: Deployment Notebook

Module 5 Conclusion

    • 1 Videos
    • 1 Assignment
Show info about module content

1 Assignment

  • Module 5: Azure Machine Learning Operations

1 Videos

  • Module 5 Conclusion

Auto Summary

"Developing AI Applications on Azure" is an expert-level course focused on Artificial Intelligence and Machine Learning within the Data Science & AI domain. Taught by Coursera, it covers machine learning types, algorithms, and Python programming with scientific packages. Learners will explore Microsoft's Azure tools, including pre-trained machine learning models and REST APIs for computer vision, facial recognition, and sentiment analysis. The course includes hands-on exercises and spans 960 minutes, available through Starter and Professional subscriptions, ideal for those looking to harness Azure for AI solutions.

Ronald J. Daskevich, DCS
Instructor

Ronald J. Daskevich, DCS