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

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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.

  • Accredited By : Microsoft Partner Logo
  • Category : Azure

Course Price : $2295 Per Participant

Course Description

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. This program describes the need for AI development in application. 

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.
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Courses

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Years of Experience

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Global Learners

What you will learn

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

Prerequisites

Required

Recommended

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

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 PartnerMicrosoft 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

  • calendar Jun 10, 2024
  • time 8:30 am - 4:30 pm EST
  • location online
GTR
  • calendar Jun 24, 2024
  • time 8:30 am - 4:30 pm EST
  • location online
  • calendar Jul 08, 2024
  • time 8:30 am - 4:30 pm EST
  • location online
GTR
  • calendar Jul 22, 2024
  • time 8:30 am - 4:30 pm EST
  • location online
  • calendar Aug 05, 2024
  • time 8:30 am - 4:30 pm EST
  • location online
  • calendar Aug 19, 2024
  • time 8:30 am - 4:30 pm EST
  • location online

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Curriculum

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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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:

    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

    1. Previously, Microsoft role-based and specialty certifications were valid for two years.
    2. Starting June 2021, certifications are valid for one year, but they can be renewed online for free at Microsoft Learn.
    3. 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.
    4. 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.

    Course Details

    • cert cert-green
      Certification: YES
    • skill skill-green
      Skill Level: Intermediate
    • enroll enroll-green
      Enrolled: 1642
    • duration duration green
      Duration: 4 Days

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