I’m happy to share that I have successfully cleared the AI -900: Microsoft Azure AI Fundamentals Certification Exam. When I planned for the AI-900 certification Exam, I noticed some challenges like syllabus updates and renaming/rebranding of some Azure AI services.
This certification gave me the basic knowledge of AI workloads, ML models and principle features of computer vision, NLP, Generative AI Workloads, and how they are implemented in Microsoft Azure.
What is the Microsoft Certified Azure AI Fundamentals Certification Exam?
This certification is a great starting point for anyone looking to build a career in AI and ML, and it can also serve as a stepping stone to more advanced Azure certifications.
This exam is meant for you if you have technical or non-technical backgrounds. Data science and software engineering experience is not required. However, you will benefit from familiarity with basic cloud concepts and knowledge of client-server applications.
What is the Microsoft Certified Azure AI Fundamentals Certification Exam?
- This exam is an opportunity to demonstrate your basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts along with the related Microsoft Azure services.
- This certification is ideal for people with technical and non-technical backgrounds who want to demonstrate their understanding of AI and ML.
- The exam code is AI-900.
Why is Microsoft Certified Azure AI Fundamentals Certification important?
This certification holds significant importance for several reasons, and those are as follows:
- Foundation in AI and ML: It provides a strong foundational understanding of artificial intelligence (AI) and machine learning (ML) concepts that are crucial in today’s technology-driven world.
- Career Opportunities: This certification opens up various career paths in the growing AI market, such as data analysis, machine learning engineering, and AI development. It validates your knowledge and skills, making you a more attractive candidate to employers.
- Professional Credibility: Obtaining this certification increases your professional credibility. It demonstrates your expertise in AI concepts and techniques, which is beneficial for career advancement.
- Preparation for advanced certifications: It serves as a stepping stone for more advanced Azure certifications such as Azure Data Scientist Associate or Azure AI Engineer Associate. This will help you build a more comprehensive expertise in AI and ML.
- Industry relevance: With AI and ML becoming integral parts of various industries, having a certification in these areas will keep you relevant and up-to-date with the latest technological advancements.
Exam Overview :
The most important skills you should learn before the exam are:
- Azure Machine Learning [ML] Fundamental Principles.
- Artificial Intelligence [AI] workloads and considerations
- Azure Computer Vision Workloads Overview and Features
- Azure Natural Language Processing (NLP) Workloads Overview and Features
- Azure Generative AI Workloads Overview and Features
Exam Format and Information:
1. Getting familiar with Azure AI Services Recent Name Changes and Announcements
2. Recent Syllabus updates related information [Exam Study Guide recent changes]
3. Getting familiar with the Exam Skill sets concepts and making a plan based on the skill weightage.
4. Exam preparation materials:
Start your preparation by taking video courses and practicing hands-on with Whizlabs and Cloud Sandbox (no credit card or subscription is required). Also, use these resources to explore the practical use cases of the services. For your final revision, go through the Whizlabs cheetsheet documents along with some Microsoft learning materials.
Exam Cheetsheet: The AI-900 exam cheatsheet provides you reference guide for essential AI concepts and key terminology covered in the AI-900 certification exam. It helps you quickly review important topics, ensuring you’re prepared on exam day.
Video Lectures and Practice Exams: Whizlabs provides over 100 video lectures designed to explain fundamental AI concepts, machine learning principles, and Azure AI services comprehensively.
Practice Labs: The platform offers hands-on labs specifically tailored for AI-900 exam success. This approach helps you build the practical skills necessary to pass the AI-900 certification exam and apply AI concepts effectively.
Sandbox Access: Whizlabs provides sandbox access, allowing you to practice and perform labs in a secure, controlled environment.
5.Connectivity of community/forums, correct solutions from Microsoft officials and others to clarify any queries we have
6. Getting familiar with the Microsoft Exam formats
Important things to be noted before the exam.
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- You should be aware of Microsoft Exam Syllabus Updates
- You should be aware of the Microsoft Exam formats for the Fundamental level.
- Are there any recent Service Name Changes?
Successfully Passing the Azure AI Fundamentals Exam – My Experience and Key Exam Topics
After months of dedicated preparation, I am thrilled to share that I successfully cleared the Azure AI Fundamentals exam on August 16, 2024, with a score of 90%. During the exam, I have experienced a range of questions that tested my understanding of various Azure AI services and principles. Here are the key topics covered and the number of questions related to each:
Conclusion:
The Azure AI Fundamentals exam thoroughly tested my knowledge of AI basics and Azure services. By studying regularly and practicing hands-on, I covered a range of topics, from basic AI concepts to more advanced AI tasks. If you’re getting ready for this exam, focus on understanding the services practically and keep up with the latest updates in Azure AI. Stay committed to the process, and you can succeed too!
