AI-102: Designing & Implementing a Microsoft Azure AI Solution Training

Name: AI-102: Designing & Implementing a Microsoft Azure AI Solution Training
Brand: Microtek Learning
Price: 2295 USD
Rating: 4.8 (1642 reviews)

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Microsoft Azure AI Solution is a great course that is intended for all software developers. For any professional who wants to create an AI application, designing and implementing a Microsoft Azure AI solution is the course they need.

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Category : Azure

Course Price : $2295 Per Participant

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Course Description

After completing this program, professionals will create, configure, deploy, and secure the Azure cognizant services. As a developer, a professional will also create an application that analyzes a text. This certification program offers much more. It includes creating speech-enabled apps, development of applications with natural language understanding skills, creation of conversational bots, design of QNA, face recognition applications, and many more.

After successful completion of the course, professionals will establish themself as AI engineers.

This training is designed based on the objectives of the course variant AI-102T00-A.

Training Exclusives

Live instructor-led interactive sessions with Microsoft Certified Trainers (MCT).
Access to Microsoft Official Courseware (MOC).
Real-time Virtual Lab Environment.
Experience 24*7 Learner Support.
Self-paced learning and flexible schedules.

500+

Courses

20+

Years of Experience

95K+

Global Learners

What you will learn

Describe considerations for AI-enabled application development
Create, configure, deploy, and secure Azure Cognitive Services
Develop applications that analyze text
Develop speech-enabled applications
Create applications with natural language understanding capabilities
Create QnA applications
Create conversational solutions with bots
Use computer vision services to analyze images and videos
Create custom computer vision models
Develop applications that detect, analyze, and recognize faces
Develop applications that read and process text in images and documents
Create intelligent search solutions for knowledge mining

Prerequisites

Required

AI-900T00: Microsoft Azure AI Fundamentals Training

Who should attend this course?

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

Microsoft Learning Partner

Microtek Learning is a Microsoft Certified Partner for Learning Solutions. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Schedules

Dec 18, 2023
9:00 am - 5:00 pm EST
online

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Curriculum

Module 1: Introduction to AI on Azure

Lesson

Introduction to Artificial Intelligence

Artificial Intelligence in Azure

After completing this module, students will be able to:

Describe considerations for creating AI-enabled applications

Identify Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Lesson

Getting Started with Cognitive Services

Using Cognitive Services for Enterprise Applications

Lab: Get Started with Cognitive Services

Lab: Manage Cognitive Services Security

Lab: Monitor Cognitive Services

Lab: Use a Cognitive Services Container

After completing this module, students will be able to:

Provision and consume cognitive services in Azure

Manage cognitive services security

Monitor cognitive services

Use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Lesson

Analyzing Text

Translating Text

Lab: Analyze Text

Lab: Translate Text

After completing this module, students will be able to:

Use the Text Analytics cognitive service to analyze text

Use the Translator cognitive service to translate text

Module 4: Building Speech-Enabled Applications

Lesson

Speech Recognition and Synthesis

Speech Translation

Lab: Recognize and Synthesize Speech

Lab: Translate Speech

After completing this module, students will be able to:

Use the Speech cognitive service to recognize and synthesize speech

Use the Speech cognitive service to translate speech

Module 5: Creating Language Understanding Solutions

Lesson

Creating a Language Understanding App

Publishing and Using a Language Understanding App

Using Language Understanding with Speech

Lab: Create a Language Understanding App

Lab: Create a Language Understanding Client Application

Lab: Use the Speech and Language Understanding Services

After completing this module, students will be able to:

Create a Language Understanding app

Create a client application for Language Understanding

Integrate Language Understanding and Speech

Module 6: Building a QnA Solution

Lesson

Creating a QnA Knowledge Base

Publishing and Using a QnA Knowledge Base

Lab: Create a QnA Solution

After completing this module, students will be able to:

Use QnA Maker to create a knowledge base

Use a QnA knowledge base in an app or bot

Module 7: Conversational AI and the Azure Bot Service

Lesson

Bot Basics

Implementing a Conversational Bot

Lab: Create a Bot with the Bot Framework SDK

Lab: Create a Bot with Bot Framework Composer

After completing this module, students will be able to:

Use the Bot Framework SDK to create a bot

Use the Bot Framework Composer to create a bot

Module 8: Getting Started with Computer Vision

Lesson

Analyzing Images

Analyzing Videos

Lab: Analyze Images with Computer Vision

Lab: Analyze Video

After completing this module, students will be able to:

Use the Computer Vision service to analyze images

Use Video Analyzer to analyze videos

Module 9: Developing Custom Vision Solutions

Lesson

Image Classification

Object Detection

Lab: Classify Images with Custom Vision

Lab: Detect Objects in Images with Custom Vision

After completing this module, students will be able to:

Use the Custom Vision service to implement image classification

Use the Custom Vision service to implement object detection

Module 10: Detecting, Analyzing, and Recognizing Faces

Lesson

Detecting Faces with the Computer Vision Service

Using the Face Service

Lab: Detect, Analyze, and Recognize Faces

After completing this module, students will be able to:

Detect faces with the Computer Vision service

Detect, analyze, and recognize faces with the Face service

Module 11: Reading Text in Images and Documents

Lesson

Reading text with the Computer Vision Service

Extracting Information from Forms with the Form Recognizer service

Lab: Read Text in Images

Lab: Extract Data from Forms

After completing this module, students will be able to:

Use the Computer Vision service to read text in images and documents

Use the Form Recognizer service to extract data from digital forms

Module 12: Creating a Knowledge Mining Solution

Lesson

Implementing an Intelligent Search Solution

Developing Custom Skills for an Enrichment Pipeline

Creating a Knowledge Store

Lab: Create an Azure Cognitive Search solution

Lab: Create a Custom Skill for Azure Cognitive Search

Lab: Create a Knowledge Store with Azure Cognitive Search

After completing this module, students will be able to:

Create an intelligent search solution with Azure Cognitive Search

Implement a custom skill in an Azure Cognitive Search enrichment pipeline

Use Azure Cognitive Search to create a knowledge store

What Exam Do I Need To Get Certified?

Exam AI-102

About the Certifications

Students for the Azure AI Engineer Associate certification must have experience in managing, building, and deploying AI solutions that support Azure Cognitive Search, Azure Cognitive Services, and Microsoft Bot Framework.

The responsibility with this certification is participating in all aspects of AI solutions development, from requirements definition and design to development, maintenance, deployment, performance tuning, and monitoring.

The job role Azure AI Engineers work with solution architects to translate their vision with data engineers, data scientists, IoT specialists, and AI developers to build complete end-to-end AI solutions.

Students for this AI certification must be experts in C# or Python and know how to use REST-based APIs and SDKs to build computer vision, knowledge mining, natural language processing, and conversational AI solutions on Azure.

Students also know the components that make up the Azure AI portfolio and the available data storage options. With this, students have to understand and be able to apply the responsible AI principle.

Certification Details

Microsoft Azure AI Solution

Step 1: Review the skills and knowledge required to certify.

Step 2: Recommended training for certification:

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

Step 3: Take this exam and get certified.

Exam AI-102

Who Should Attend?

Cloud Solution Architects
Azure AI Engineers
Azure AI Designers
AI Developers
The ones preparing for the AI-102 exam and Microsoft Certified: Azure AI Engineer Associate certification

Skills Measured

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

Certification Latest Updates

Previously, Microsoft role-based and specialty certifications were valid for two years.
Starting June 2021, certifications are valid for one year, but they can be renewed online for free at Microsoft Learn.
The renewal window begins six months before the cert expires. During this window, before the cert expires, you can take a free online assessment and get the cert extended by one additional year from the current expiration date.
Want the best of both worlds, old and new? Certifications earned before June 2021 will be valid for two years and eligible for the new renewal process.