Developing AI Applications on Azure
5.0 /5- Offered byCoursera
Developing AI Applications on Azure at Coursera Overview
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Explore Free Course  |
Credential | Certificate |
Developing AI Applications on Azure at Coursera Highlights
- 20% got a tangible career benefit from this course.
- 33% got a pay increase or promotion.
- Earn a shareable certificate upon completion.
Developing AI Applications on Azure at Coursera Course details
- 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.
Developing AI Applications on Azure at Coursera Curriculum
Introduction to Artificial Intelligence
module 1 intro
Definition of AI and Machine Learning
Machine Learning Alogrithms
Python Basics
Python Collections
Python Variables
Python Scientific Ecosystem and ML Libraries
Linear Regression with Scikit Learn
Logistic Regression with Scikit Learn
Module conclusion
Exercise: Sign up for a free Azure account or login to your existing one.
Definition of AI
Comparison of machine learning algorithms
Links to learn more about python
Exercise Python Basics notebook
Exercise: Scikit-learn models for regression and classification
Practice: Python Collections
AI and ML Definitions
Deep Learning
Module 1: Introduction to Artificial Intelligence
Standardized AI Processes and Azure Resources
module 2 intro
AI Tools
aiprocesses
TDSP Stages
TDSP General Manager Tasks
TDSP Task Lead Tasks
TDSP Project Lead Tasks
TDSPData Scientist Tasks
Module 2 Conclusion
Microsoft Team Data Science Process
Exercise: TDSP in Azure Devops
Practice: TDSP
ML Studio
Module 2: Standardized AI Processes and Azure Resources
Azure Cognitive APIs
Module 3 Introduction
Cognitive Services Overview
Azure Computer Vision API
face api
Other Cognitive Services API's
Sentiment analysis
Module 3 Conclusion
Exercise: Computer Vision Notebook
Exercise: Face API Notebook
Exercise: Sentiment Analysis Notebook
Search API
Translation
Module 3: Azure Cognitive APIs
Azure Machine Learning Service: Model Training
Module 4 Introduction
Azure ML Service
Ways to create an ML Workspace
Setting up Experiments
Train and register a model
Train a model using Azure ML
Module 4 Conclusion
Microsoft Azure Machine Learning Documentation
Exercise: Workspace Notebook
Exercise: Model Training Notebook
Azure ML Process
Practice: Azure ML Workspace
Practice: Train
Train Process Step
Module 4: Azure Machine Learning Service
Azure Machine Learning Service: Model Management and Deployment
Module 5 Introduction
Connect to your Workspace
Reference your Registered Model
defining scoring and dependencies
Define Deployment Config
Deploy Container Image
Test the Deployed Image
Module 5 Conclusion
Exercise: Deployment Notebook
Practice: Saving Connections
Practice: SDK Container
Model Registry
Module 5: Azure Machine Learning Operations
Developing AI Applications on Azure at Coursera Admission Process
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