AI-102 Training: Designing and Implementing an Azure AI Solution

Course: 2410

This course is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

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  • Duration: 4 days
  • Price: $2,495.00
Get This Course $2,495.00
August 13 - 16

9:00 AM – 4:00 PM CST

October 22 - 25

9:00 AM – 4:00 PM CST(e)

November 19 - 22

9:00 AM – 4:00 PM CST

December 10 - 13

9:00 AM – 4:00 PM CST

January 13 - 16

9:00 AM – 4:00 PM CST

February 10 - 14

9:00 AM – 4:00 PM CST

March 05 - 08

9:00 AM – 4:00 PM CST

April 02 - 05

9:00 AM – 4:00 PM CST

May 07 - 10

9:00 AM – 4:00 PM CST

June 04 - 07

9:00 AM – 4:00 PM CST

September 10 - 13

9:00 AM – 4:00 PM CST

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AI-102 Designing and Implementing a Microsoft Azure AI Solution

Overview

In this course, you will learn about AI-102 Designing and Implementing an Azure AI Solution which is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.

Audience Profile

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.

Good to know before you attend the class:

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics

To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

Course outline

Module 1: Prepare to develop AI solutions on Azure

Module 2: Create and consume Azure AI services

Module 3: Secure Azure AI services

Module 4: Monitor Azure AI services

Module 5: Deploy Azure AI services in containers

Module 6: Analyze images

Module 7: Classify images

Module 8: Detect, analyze, and recognize faces

Module 9: Read Text in images and documents with the Azure AI Vision Service

Module 10: Analyze video

Module 11: Analyze text with Azure AI Language

Module 12: Create question answering solutions with Azure AI Language

Module 13: Build a conversational language understanding model

Module 14: Create a custom text classification solution

Module 15: Custom named entity recognition

Module 16: Translate text with Azure AI Translator service

Module 17: Create speech-enabled apps with Azure AI services

Module 18: Translate speech with the Azure AI Speech service

Module 19: Create an Azure AI Search solution

Module 20: Create a custom skill for Azure AI Search

Module 21: Create a knowledge store with Azure AI Search

Module 22: Plan an Azure AI Document Intelligence solution

Module 23: Use prebuilt Document intelligence models

Module 24: Extract data from forms with Azure Document intelligence

Module 25: Get started with Azure OpenAI Service

Module 26: Build natural language solutions with Azure OpenAI Service

Module 27: Apply prompt engineering with Azure OpenAI Service

Module 28: Generate code with Azure OpenAI Service

Module 29: Generate images with Azure OpenAI Service

Module 30: Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

Module 31: Fundamentals of Responsible Generative AI


Related Certifications:
Microsoft Certified: Azure AI Engineer Associate
Learning Paths
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