AI Series - Microsoft Azure AI Fundamentals - AI-900

Course Provided by:Rahul Shukla
Course Taken on: Udemy
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Description

Are you looking to get yourself certified on Microsoft AI-900 ?


Congrats, you are at right place. Enroll and get certified yourself.

This course is very carefully crafted so that you can easily pass the AI-900 exam and become proud by earning Microsoft Azure AI Fundamentals Certification.


Thinking why to choose this one only ?

Comprehensive Explanations: Questions are supported by crisp and clear explanation so that you can learn why this option is correct.

Exhaustive Course Coverage: These practice exam covers even more than AI-900 exam, leaving no stone in your preparation.

  1. Describe Artificial Intelligence workloads and considerations

  2. Describe fundamental principles of machine learning

  3. Describe features of computer vision workloads

  4. Describe features of Natural Language Processing (NLP) workloads

  5. Describe features of generative AI workloads


Domain based Practice Exam Experience: Domains are provided for every questions so that you can identity area of improvements.


Sample Question

You are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use?


A. Text Analytics

B. Azure Bot Service

C. Translator

D. Form Recognizer


Explanation-

For developing a conversational AI solution that interacts with users across multiple channels like email, Microsoft Teams, and webchat, the most suitable service is:


B. Azure Bot Service


Here's why:

Azure Bot Service is specifically designed for building, deploying, and managing bots: It provides a comprehensive platform for handling user interactions, natural language processing (NLP), and integration with various channels.


Multiple channel support: Azure Bot Service seamlessly connects your bot to popular platforms like Teams, webchat, email, and even social media channels like Facebook Messenger. This eliminates the need for separate development for each channel.


NLP capabilities: Built-in NLP features handle user queries, understand intent, and generate appropriate responses. You can also integrate with Azure LUIS for more advanced conversational understanding.


Scalability and reliability: Azure Bot Service offers robust infrastructure to handle large volumes of users and ensure consistent performance across different channels. Although the other options might be relevant in specific scenarios, they are not ideal for your case:


Text Analytics (A): Provides tools for text analysis and extraction, but doesn't handle user interactions or manage bots.


Translator (C): Focuses on language translation and wouldn't be needed unless your bot requires multilingual communication.


Form Recognizer (D): Extracts data from structured forms, which might be useful for specific tasks within the bot, but not the core functionality for a conversational AI solution.


Therefore, Azure Bot Service is the most comprehensive and efficient option for building your multi-channel conversational AI solution. Remember, while Azure Bot Service is a great choice for Microsoft-based solutions, there are other platforms like Google Dialogflow and Amazon Lex that cater to other environments. The best choice ultimately depends on your specific needs and technical ecosystem.


Exam Details


Skills Measured in AI-900 Exam


The English language version of this exam will be updated on January 31, 2024. Review the study guide linked in the preceding “Tip” box for details about the skills measured and upcoming changes.


  1. Describe Artificial Intelligence workloads and considerations (15–20%)

  2. Describe fundamental principles of machine learning on Azure (20–25%)

  3. Describe features of computer vision workloads on Azure (15–20%)

  4. Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)

  5. Describe features of generative AI workloads on Azure (15–20%)


No of questions:


You can expect around 40-60 questions in the AI-900 exam.


AI-900 Exam Duration:


Exam type: Fundamentals Exams


Exam duration - 45 minutes


Seat duration - 65 minutes


AI-900 Exam Passing Criteria


All technical exam scores are reported on a scale of 1 to 1,000.


A passing score is 700 or greater. you need to score at least 70% to pass this exam.


Good luck! Wishing you nothing but the best.


Who this course is for:


  • Any AI Technology Professional

  • IT Professionals - Those wanting to expand their expertise by diving into Microsoft Azure.

  • Business Analysts: Individuals seeking to understand AI Azure to better align tech and business strategies.

  • Entrepreneurs: Startup founders and business owners looking to leverage cloud AI solutions for scalability.

  • PM: Tech PMs aiming to better manage Azure AI-related projects with foundational knowledge.

  • Freelancers: Tech consultants aiming to broaden their AI service offerings with Azure capabilities.

  • University Students: Computer Science or IT students desiring an edge in the AI job market.

  • Solution Architects: AI Professionals seeking to design solutions on Azure and wanting a foundational understanding.

  • Tech Beginner: Individuals new to the tech industry looking to grasp AI fundamental cloud concepts.

Requrirements

If you are willing to make your career into AI with Azure, this is the one for you!

Course Includes

  • 4 practice tests
  • Access on mobile
  • Full lifetime access