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AI-102, Designing and Implementing an Azure AI solution

BY
Cloudthat Technologies Private Limited via FutureSkills

Acquire a detailed understanding of Azure AI's core principles and functions to implement AI solutions for AI ...Read more

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Mode

Online

Duration

48 Hours

Fees

₹ 24900

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

AI-102, Designing and Implementing an Azure AI solution online certification is created by CloudThat and is presented by FurtureSkills Prime which is designed for individuals who want to develop artificial intelligence applications using Azure and Microsoft bot services. AI-102, Designing and Implementing an Azure AI solution online course by FutureSkills Prime seeks to provide individuals with the knowledge they need to transform their imagination into final artificial intelligence solutions.

AI-102, Designing and Implementing an Azure AI solution online classes are virtual lectures delivered by industry experts with the goal of teaching everything there is to learn about artificial intelligence solutions as well as providing one-on-one mentoring to individuals who are having difficulty comprehending the concepts and principles. By the end of this course, individuals will be able to implement computer vision solutions, knowledge mining solutions, as well as design and manage Azure cognitive services solutions.

The highlights

  • Certificate of completion by CloudThat
  • Co-branded certificate by FutureSkills Prime & CloudThat

Program offerings

  • Certificate of completion by cloudthat
  • Co-branded certificate by futureskills prime & cloudthat

Course and certificate fees

Fees information
₹ 24,900
certificate availability

Yes

certificate providing authority

FutureSkills +1 more

What you will learn

Natural language processing Knowledge of artificial intelligence

After completing the AI-102, Designing and Implementing an Azure AI solution certification course, individuals will obtain an understanding of the capabilities of Azure AI and how to use it to design AI solutions for artificial intelligence development projects as well as study various functionalities of Azure AI solutions. Individuals will learn about Azure bot services, Azure cognitive services, computer vision, speech recognition, and synthesis, among other services. Individuals will also learn about natural language processing, text analytics, READ API, Face API, and LUIS.

The syllabus

Module 1: Introduction to AI on Azure

  • Introduction to Artificial Intelligence
  • Artificial Intelligence on Azure

Module 2: Developing AI Apps with Cognitive Science

  • Getting Started with Cognitive Services
  • Using Cognitive Services for Enterprise Applications
  • Hands on Labs

Module 3: Getting started with Natural Language Processing

  • Analyzing Text
  • Translating Text
  • Hands on Labs

Module 4: Building Speech Enabled Applications

  • Speech Recognition and Synthesis
  • Speech Translation
  • Hands on Labs

Module 5: Creating Language Understanding Solutions

  • Creating a Language Understanding App
  • Publishing and Using a Language Understanding App
  • Using Language Understanding with Speech
  • Hands on Labs

Module 6: Building QnA Solution

  • Creating a QnA Knowledge Base
  • Publishing and Using a QnA Knowledge Base
  • Hands on Labs

Module 7: Conversational AI and the Azure Bot Service

  • Bot Basics
  • Implementing a Conversational Bot
  • Hands on Labs

Module 8: Getting Started with Computer Vision

  • Analyzing Images
  • Analyzing Videos
  • Hands on Labs

Module 9: Developing Custom Vision Solutions

  • Image Classification
  • Object Detection
  • Hands on Labs

Module 10: Detecting, Analyzing and Recognizing Faces

  • Detecting Faces with the Computer Vision Service
  • Using the Face Service
  • Hands on Labs

Module 11: Reading Text in Images and Documents

  • Reading text with the Computer Vision
  • Extracting Information from Forms with the Form Recognizer service
  • Hands on Labs

Module 12: Creating a Knowledge Mining Solution

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

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