Career Opportunities

As you remember, the Microsoft Certified: Azure AI Fundamentals validation is the fundamental certification designed for beginners with both technical and non-technical backgrounds. It is considered a good path to follow if you're interested in starting a career in the field of AI and ML. Below are some of the jobs that you can get your hand on through this certification. These jobs come with decent annual salaries as covered by Payscale.com:

• AI Engineer: $76k;
• Developer: $50k;
• Data Scientist: $67k.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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How to book the AI-900: Microsoft Azure AI Fundamentals Exam

• Step 1: Visit to Microsoft Learning and search for AI-900: Microsoft Azure AI Fundamentals Exam Outlook and Modules.
• Step 2: Sign up/Login to Pearson VUE account.
• Step 3: Select local centre based on your country, date, time and confirm with a payment method.

Exam Overview

This certification test is available in English, Spanish, Simplified Chinese, Japanese, French, Korean, and German. You will find different formats of questions while dealing with this Microsoft exam. These include multiple choice, drag and drop, build list, active screen, short answer, and best answer. The test costs $99 and the learners can register for it through Pearson VUE or Certiport.

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Describe NLP Workloads Features on Azure (15-20%)

This domain contains the following details that you need to learn about:

• Identify Azure services & tools for Natural Language Processing Workloads – This topic is created to equip you with the ability to identify various capabilities, such as Speech service, Text Analytics service, Translator Text service, and Language Understanding service.
• Identify the features of basic NLP (Natural Language Processing) Workload Scenarios – The individuals should be able to identify various uses and features of various components, for example, keyphrase extraction, sentiment analysis, entity recognition, translation, language modeling, and speech recognition & synthesis.