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Mastering Artificial Intelligence with Azure Cognitive Services

Gain insights into Azure Cognitive Services to deliver intelligent cloud apps. Learn about FastAPI for RESTful APIs and prepare for the Microsoft AI-102 certification exam.

4.7

105 Lessons

3 Projects

15h 15min

Updated 2 weeks ago

Join 2.9 million developers at

LEARNING OBJECTIVES

A working knowledge of the models in Microsoft Azure Cognitive Services
A familiarity with the FastAPI Python web framework as it relates to implementing Azure AI models
The ability to deploy image-intelligent applications using Vision Cognitive Service
The ability to deploy language-intelligent applications using Language Cognitive Service
The ability to deploy speech-intelligent applications using Speech Cognitive Service
The ability to deploy decision-intelligent applications using Decision Cognitive Service
The understanding and confidence to take the Microsoft certification Exam AI-102: Designing and Implementing an Azure AI Solution

Learning Roadmap

105 Lessons3 Projects14 Quizzes4 Assessments

Overview of the Course

Get familiar with developing AI solutions using Azure services, FastAPI, and capstone projects.

Introduction to the Course

Refresher to FastAPI - Python Web Framework

Unpack the core of creating, documenting, and managing APIs with FastAPI’s features.

Introduction to FastAPI

Creating Our First App Using FastAPI

Interactive API Docs—A Feature of FastAPI

Path Parameters in FastAPI

Query Parameters in FastAPI

Default and Optional Query Parameters in FastAPI

Request Body in FastAPI

Quiz Yourself on FastAPI

Introduction to Cloud and Microsoft Azure

4 Lessons

Explore cloud computing, Microsoft Azure's platform, and integration of Azure Cognitive Services for AI-enabled applications.

Azure Vision Cognitive Services: Computer Vision

13 Lessons

Enhance your skills in using Azure Computer Vision for OCR, image analysis, and object detection.

Azure Vision Cognitive Services: Custom Vision

11 Lessons

Build custom image classifiers and object detectors using Azure's Custom Vision portal and SDK.

Azure Vision Cognitive Services: Face API

6 Lessons

Tackle facial recognition using Azure Face API for detection, verification, and similarity analysis.

Capstone Project 1: Building a Face Mask Classifier

Project

Azure Vision Cognitive Services: Assessment

Assessment

Azure Language Cognitive Services: LUIS

7 Lessons

Practice using LUIS for creating, training, testing, and deploying conversational AI applications.

Capstone Project 2: Building a Weather Application Using LUIS

Project

Azure Language Cognitive Services: QnA Maker

6 Lessons

Step through building and managing QnA Maker with Azure Cognitive Services.

Capstone Project 3: Building a Chatbot Using Azure QnA Maker

Project

Azure Language Cognitive Services: Text Analytics

9 Lessons

Unpack the core of Azure Text Analytics, including sentiment analysis, key phrase extraction, language detection, and NER.

10.

Azure Language Cognitive Services: Translator

7 Lessons

Examine Azure Translator services for text, document translations, custom models, and practical applications.

Azure Language Cognitive Services: Assessment

Assessment

11.

Azure Decision Cognitive Services: Anomaly Detection

6 Lessons

Grasp the fundamentals of Azure-based univariate and multivariate anomaly detection for real-time data insights.

12.

Azure Decision Cognitive Services: Content Moderator

4 Lessons

Take a closer look at Azure Content Moderator's services for analyzing text, images, and videos.

13.

Azure Decision Cognitive Services: Personalizer

4 Lessons

Implement Azure Personalizer to optimize content recommendations using reinforcement learning and user feedback.

Azure Decision Cognitive Services: Assessment

Assessment

14.

Azure Speech Cognitive Services

5 Lessons

Build on using Azure Speech Service for text and audio translation and conversion.

15.

Azure Bing Search Services

8 Lessons

Get familiar with Azure Bing Search APIs for web, image, news, video searches, and more.

Azure Speech and Bing Search Services: Assessment

Assessment

16.

Conclusion

2 Lessons

Discover the logic behind implementing Azure Cognitive Services and exploring advanced AI avenues.

17.

Appendix

4 Lessons

Break apart essential steps to set up Azure accounts, install FastAPI, and Azure SDKs.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

Microsoft Azure is more than cloud hosting. With a set of predefined artificial intelligence models available for companies of all sizes, Cognitive Services offers a toolkit to quickly scale AI/ML development with little to no knowledge of data science. In this course, you’ll develop the core skills necessary to deliver intelligent, cloud-based applications and services with a thorough overview of Azure Cognitive Services. First, you’ll review FastAPI, a framework for developing RESTful APIs with Python. Next, you’ll be introduced to the Microsoft Azure Cognitive Services library before exploring each artificial intelligence model and their applications. Finally, you'll use FastAPI to implement a portfolio-ready project built with Microsoft Azure. By the end of this course, you’ll have the foundational knowledge to work with Azure Cognitive Services. You’ll also be prepared to take the certification exam for Microsoft AI-102: Designing and Implementing an Azure AI Solution.

ABOUT THE AUTHOR

Harsh Jain

Learn more about Harsh

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