AI-102, Microsoft Certified: Azure AI Engineer Associate

AI-102: Designing and Implementing a Microsoft Azure AI Solution

Welcome to AI-102 course! Designing and Implementing a Microsoft Azure AI Solution (AI-102) will teach you how to design and implement an Azure AI solution. It is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.

AI-102 includes hands-on activities in which you will use C# or Python to develop AI applications. In this course, you will learn how to develop AI solutions on Azure, using Azure Cognitive Services, Azure Bot Service, Azure Cognitive Search etc. You will build on your existing software development skills, including Experience of programming with C# or Python and Familiarity with REST and JSON.



This course will build on these topics with hands-on lab learnings and Knowledge Check questions.

Microsoft Courseware

Instructor-Led Training

Course Duration: 4-Days (32-Hour)

Microsoft Official Lab Exercises

Courseware Life Time Free Upgrade

Cloud Lab Access

Overview

AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services. This course will cover all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.


Candidates attending this course should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.


AI Engineers design and develop intelligent solutions that encapsulate artificial intelligence (AI) capabilities. As an aspiring Azure AI Engineer, it's important to understand some of the key foundational concepts on which AI is based, and the various services in Microsoft Azure that you can use to build AI solutions.

Modules

Module 1: Introduction to AI on Azure

  • Introduction to AI
  • AI in Azure

Module 2: Developing AI Apps with Cognitive Services

  • Getting Started with Cognitive Services
  • Using Cognitive Services for Enterprise Applications

Module 3: Getting Started with Natural Language Processing

  • Analyzing Text
  • Translating Text

Module 4: Building Speech-Enabled Applications

  • Speech Recognition and Synthesis
  • Speech Translation

Module 5: Creating Language Understanding Solutions

  • Creating a language Understanding App
  • Publishing and Using a Language Understanding App

Module 6: Building a Question Answering Solution

  • Creating a knowledge Base
  • Publishing and Using a knowledge Base

Module 7: Conversational AI and the Azure Bot Service

  • Bot Basics
  • Implementing a Bot

Module 8: Getting Started with Computer Vision

  • Analyzing Images
  • Analyzing Videos

Module 9: Developing Custom Vision Solutions

  • Image Classification
  • Object Detection

Module 10: Detecting, Analyzing and Recognizing Faces

  • Detecting Faces with the Computer Vision Services
  • Using the Face Service

Module 11: Reading Text in Images and Documents

  • Reading text with the Computer Vision Service
  • Extracting Information from Forms with the Form Recognizer service

Module 12: Creating a knowledge Mining Solution

  • Implementing an Intelligent Search Solution
  • Developing Custom Skills for an Enrichment Pipeline
  • Creating a Knowledge Store

Fees And Schedule

Instructor-Led Training

32-Hour of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

Learning Objectives

After completing the course, students will be able to:

  • Plan and manage an Azure Cognitive Services solution
  • Implement Computer Vision solutions
  • Implement natural language processing solutions
  • Implement knowledge mining solutions
  • Implement conversational AI solutions

Reviews

Dipak Agarwal - Business Analyst at Genpact

(5/5)
Excellent professional & comfortable environment to learn

The training was good, I would like to go through some more training.

Gurpreet Marwaha - IAM Analyst at National Australia Bank, Australia

(5/5)
I learned a lot

Excellent Office 365 training provided by Flexmind

Kiranmai Yachareni - Web Developer at Total Quality Logistics, USA

(5/5)
Excellent ability to clarify all the queries I raised

Thank You! I would definitely recommend it to others. The training session was very informative and interactive. Very useful and definitely thought-provoking. All the module sessions were clear and interactive, great, and friendly. Catered to all levels, which was good for those just starting out and those with more experience. I really appreciate the recorded videos and training material, which would be definitely helpful for later references.

Praveen S (Associate at Grant Thornton LLP)

(5/5)
Excellent knowledge of the trainer on the Subject

I attended PowerApps/Flow training from Flexmind. The topics of the course were well organized & knowledge of the trainer on the subject was excellent. It was very helpful and I will apply in my day to day task at the office. I will definitely recommend a friend or colleague to attend courses from Flexmind.

Course Related Posts