Microsoft AI-900 Fundamental: A look at the Official Study Guide For Exam

Now that Artificial Intelligence is the thing of the present, it has become essential for people in the software development industry to get a hold of the AI terms, tools, and technologies.

If you are a student who wants to pursue a career in AI & ML, below are some roles in AI that are in high demand.

AI Industry Roles & Specializations:

Role	Job Description
AI Product Manager	To oversee the development and deployment of AI-powered products or solutions.
Machine Learning Engineer	Designing, implementing, and maintaining machine learning systems and algorithms.
Data Engineer	Build large data pipelines, design and optimize databases, and ensure data quality and integrity.
AI Developer	Develop software systems and applications that incorporate AI capabilities.
Data Scientist	Analyze complex datasets to extract insights and patterns by using statistical techniques and machine learning algorithms.
AI Research Scientist	Work on advancing the field of AI by conducting R&D on new algorithms, techniques, and models.
Natural Language Processing (NLP) Engineer	Develop algorithms and models that understand and process human language.
Computer Vision Engineer	Develop algorithms and systems that can interpret and understand visual information.
AI Ethicist	Address the ethical implications and societal impact of AI systems.
AI Consultant	Provide strategic guidance to businesses on leveraging AI technologies.

One of the best way to know the fundamentals of AI & ML is by getting a certification from AI-900: Microsoft Azure AI Fundamentals.

About AI-900: Microsoft Azure AI Fundamentals exam

The AI-900 is the entry-level exam that does not require you to be a technical person, if you come from a non-technical background you should be able to grasp the concepts of this course.

Let's take a look at the official study guide for this exam:

Topic	Weightage
Describe Artificial Intelligence workloads and considerations	20–25%
Describe fundamental principles of machine learning on Azure	25–30%
Describe features of computer vision workloads on Azure	15–20%
Describe features of Natural Language Processing (NLP) workloads on Azure	25–30%

Links to Important Official Microsoft Study Guide & Resources

Microsoft Learn portal has tons of study guides, challenges, and preparation exams (mocks) to help you prepare for the AI-900 exam. Below are some links that you must look at.




1. Study guide for Exam AI-900: Microsoft Azure AI Fundamentals: https://learn.microsoft.com/en-us/certifications/resources/study-guides/AI-900
2. Skills measured as of May 4, 2023: https://learn.microsoft.com/en-us/certifications/resources/study-guides/AI-900#skills-measured-as-of-may-4-2023
3. Study Resources: https://learn.microsoft.com/en-us/certifications/resources/study-guides/AI-900#study-resources
4. AI-900 Certification Details Page: https://learn.microsoft.com/en-us/certifications/exams/ai-900/
5. AI-900 Microsoft Offical Free Practice (Mock) Exams: https://learn.microsoft.com/en-us/certifications/exams/ai-900/practice/assessment?assessmentId=26&assessment-type=practice
6. Self-Pased AI-900 Learning Path: https://learn.microsoft.com/en-us/training/paths/get-started-with-artificial-intelligence-on-azure/
7. Exam Sandbox: https://go.microsoft.com/fwlink/?linkid=2226877