Course Overview

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.

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.

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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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 

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Our Top Trainers

Anjali Srivastava

Anjali serves as a Research Associate for IoT (including AI/ML) and Azure cloud at CloudThat technologies. She is an experienced Solutions Engineer & Developer, corporate trainer working on Microsoft Azure around multi-tier distributed application design planning and deployment for several etc.

Anandteerth Mathad

Anand serves as a Subject Matter Expert - Cloud for IoT (including AI/ML) and Azure cloud at CloudThat technologies. He has experience in Machine Learning, Python, Information Theory, Probability and Digital Communication. Skilled with Pandas, scikit-learn, scipy, seaborn, python for etc.

Sharat Kanthi

Sharat serves as a solutions architect for Azure and IoT (Big data, AI/ML) at CloudThat Technologies, He is an experienced Solutions Engineer & Developer, corporate trainer working on Microsoft Azure around multi-tier distributed application design planning and deployment for etc.

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Course ID: 8827

Course Price at

₹ + 18% GST

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