AI-100: Designing and Implementing an Azure AI Solution

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This CloudThat certification training equips the aspirants to rigorously prepare for Designing and Implementing an Azure AI Solution exams and earn certification.

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Overview
Key Features
Who should attend
Prerequisites
Course Outline
Certification
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Course Overview

Note: This exam retired on June 30, 2021. A new version of this exam, AI-102 is available. Do visit AI-102 course page for more details.

The Microsoft AI-100 BootCamp course from CloudThat offers students in-depth knowledge and training required to pass the newly launched Microsoft AI-100 certification exam. Candidates who clear the AI-100 exam will be certified by Microsoft as Azure AI Engineer Associate.

This course provides knowledge on various components that make up the Microsoft Azure AI portfolio, related open-source frameworks and technologies and available data storage options. During this course, candidates can analyze requirements for Cloud-based AI solutions and hybrid AI solutions, recommends appropriate tools and technologies and implements solutions that meet scalability and performance requirements.

This course is also for Azure AI Engineers who use Cognitive Services, Machine Learning and Knowledge Mining to architect and implement Microsoft AI solutions involving natural language processing, speech, computer vision, bots and agents to build AI solutions.

After completing this course, students will be able to:

To build AI solutions on Azure
To learn about various Azure Machine Learning services. It's usage & integration
To understand the profound impacts of how Machine Learning is making in smart business decisions
To deploy AI solutions in Azure

Upcoming Batches

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Start Date End Date

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Key Features

Our training modules have 50% -60% hands-on lab sessions to encourage Thinking-Based Learning (TBL)
Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL)
Microsoft certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL)
Well-structured use-cases to simulate challenges encountered in a Real-World environment
Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform
Being a Microsoft Learning Partner provides us with the edge over competition

Who Should Attend

Professionals working in various industries who want to formally get the fundamental understanding of Azure Machine Learning
Enthusiasts who want to keep pace with the changing technologies

Prerequisites

Basic knowledge of Cloud platform: Microsoft Azure
Basic understanding of Machine Learning
Basics of statistics, data ethics and data privacy
Some IT industry work experience or those pursuing a degree in the IT field
Basic understanding of Azure Storage Technologies
Should have C# Knowledge
Strong learning acumen

Course Outline Download Course Outline

Overview of Azure Cognitive Services
Creating a Cognitive Service on the Azure Portal
Access and Test a Cognitive Service

Introducing the Bot Service
Creating a Basic Chat Bot
Testing with the Bot Emulator

Introducing QnA Maker
Implement a Knowledge Base with QnA Maker
Integrate QnA with a Bot

Introducing Language Understanding
Create a new LUIS Service
Build Language Understanding with Intents and Utterances

Overview of language understanding for AI applications
Integrate LUIS and Bot to create an AI-based solution

Understand Cognitive Services for Bot Interactions
Perform Sentiment Analysis for your Bot with Text Analytics
Detect Language in a Bot with the Language Cognitive Services
Integrate Computer Vision with Bots

Certification

By earning AI-100 certification, you can be competent to build AI solutions on Azure
Demonstrate skills on Azure Machine Learning services and It's usage & integration
On successful completion of AI-100 training aspirants receive a Course Completion Certificate from us
By successfully clearing the AI-100 exams, aspirants earn Microsoft Certification