Microsoft Azure AI-900 Certification 6 Practice Tests

Machine Learning, Computer Vision, Custom Vision, Natural Language Processing, Conversational AI, AI-900 Certification
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Microsoft Azure AI-900 Certification  6 Practice Tests
25
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268 questions
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Sep 2021
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Why take this course?

🌟 Master Microsoft Azure AI - AI-900 Certification with Confidence! 🌟

Are you ready to dive into the world of Machine Learning, Computer Vision, Natural Language Processing (NLP), and Conversational AI within the robust Microsoft Azure ecosystem? Our comprehensive course, designed by the expert Ravi Kumar K, will equip you with the knowledge and skills to ace the Microsoft Azure AI Fundamentals certification - also known as AI-900.

πŸš€ Why You Should Take This Course πŸš€

AI-900 Certification Overview: The AI-900 certification is a validation of your understanding of AI workloads, machine learning principles on Azure, and various Azure AI services. It's an essential step for professionals looking to demonstrate their expertise in deploying AI solutions using Microsoft Azure.

Exam Insights:

  • Number of Questions: Typically ranges from 40 to 60 questions.
  • Duration: Usually lasts between 45 to 60 minutes.

πŸ“˜ Course Structure:

This course is meticulously structured to cover all the critical areas assessed in the AI-900 certification exam, with a focus on real-world applications of Azure AI services.

AI Workloads and Considerations (15-20%)

  • Understanding AI deployment strategies and architectures.
  • Learning about AI governance, compliance, security, and privacy.

Machine Learning Principles on Azure (30-35%)

  • Automated Machine Learning: Discover how to streamline the ML pipeline.
  • Regression Model: Learn to predict continuous outcomes.
  • Classification Model: Understand categorizing data into predefined labels.
  • Clustering Model: Explore grouping techniques for unlabeled data.

Computer Vision Workloads on Azure (15-20%)

  • Analyzing images with Azure Computer Vision service.
  • Mastering image classification, object detection, and face services.
  • Reading text with the Computer Vision service.
  • Implementing form recognizers for document analysis.

Natural Language Processing (NLP) Workloads on Azure (15-20%)

  • Utilizing Text Analytics to extract insights from text data.
  • Synthesizing and recognizing speech with Azure services.
  • Translating text and speech across languages.
  • Understanding language and understanding for more complex NLP tasks.

Conversational AI Workloads on Azure (15-20%)

  • Crafting engaging conversational experiences using Azure Bot Service.
  • Deploying Language Understanding (LUIS) applications.
  • Building, training, and deploying bots with QnA Maker.

πŸŽ“ Who Should Take This Course?

This course is designed for:

  • IT professionals aiming to validate their foundational knowledge of ML and AI.
  • Individuals with a technical or non-technical background who wish to explore Azure AI services.
  • Aspiring data scientists, software engineers, and AI enthusiasts.

Note: While this course will provide a solid foundation, prior programming knowledge or experience is beneficial but not mandatory for success.

πŸ“ Prepare for More with AI-900!

Passing the AI-900 certification is just the beginning. This foundational exam sets the stage for you to pursue more advanced Azure certifications, such as the Azure Data Scientist Associate or Azure AI Engineer Associate.

Enroll in this course today and take your first step towards becoming a certified Azure AI expert! πŸŽ“βœ¨

Enroll Now and unlock the door to a future where you can harness the full potential of AI with Microsoft Azure!

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