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CoursesAzureAI-900: Azure AI Fundamentals
Azure
AI-900: Azure AI Fundamentals
AI-900 is a certification for beginners that verifies your grasp of fundamental AI and machine learning (ML) concepts and your ability to apply them using Microsoft Azure AI services. It does this without requiring any prior knowledge of deep coding or data science.
5/5(4,890 Reviews)

Level

Intermediate

Duration

8 Weeks

What is AI-900: Azure AI Fundamentals?
Both technical and non-technical learners are intended to take this introductory exam. Although knowledge of client-server architecture and fundamental cloud concepts is helpful, no prior experience with AI, programming, or data science is necessary.
Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

AI-900: Azure AI Fundamentals Course Curriculum
.

Introduction to Artificial Intelligence
Section 1

Understand the basics of AI, machine learning, and Azure AI services.
AI concepts
AI workloads
Responsible AI
Azure AI overview
.

Fundamentals of Machine Learning
Section 2

Learn how machine learning models are built, trained, and deployed.
Machine learning types
Model training
Supervised & unsupervised learning
Azure Machine Learning
.

Explore Computer Vision
Section 3

Discover computer vision capabilities such as image recognition and object detection.
Image classification
Object detection
Optical Character Recognition (OCR)
Face detection
.

Explore Natural Language Processing (NLP)
Section 4

Understand how Azure services process, translate, and analyze language.
Text analytics
Sentiment analysis
Translator service
Speech recognition
.

Explore Conversational AI
Section 5

Learn about bots, Azure Bot Service, and building intelligent conversational agents.
Azure Bot Service
Bot Framework
QnA Maker
Virtual Agents
.

Fundamentals of Responsible AI
Section 6

Study ethical principles, fairness, and governance in AI.
Bias & fairness
Transparency
Privacy & security
Governance
.

Azure Cognitive Services Overview
Section 7

Get familiar with prebuilt AI models available in Azure.
Vision APIs
Language APIs
Speech services
Decision services
.

Working with Azure Machine Learning Studio
Section 8

Hands-on introduction to designing and deploying ML models in Azure.
Workspaces & pipelines
Data preparation
Model deployment
AutoML
.

Integration of AI with Azure Applications
Section 9

Learn how AI services integrate with other Azure solutions.
Power Platform integration
Logic Apps
Cognitive services APIs
Data connectors
.

Exam Preparation & Case Studies
Section 10

Practice real-world AI scenarios, mock tests, and exam tips.
Case studies
Hands-on labs
Mock exams
Key concepts recap
Key Projects
AI-900: Azure AI Fundamentals
Image Classification with Azure Computer Vision
After uploading a collection of sample photos to Azure Blob Storage, you can analyze them using the Azure Cognitive Services – Computer Vision API. The project shows how to interpret JSON output from the API and illustrates AI tasks like object detection, tagging, and OCR.
Sentiment Analysis Dashboard using Azure Language Service
Create a basic Power BI or web dashboard that analyzes social media posts or customer reviews using Azure AI Language. The system displays the results in real time and categorizes text as neutral, negative, or positive.
AI-Powered Q&A Chatbot with Azure OpenAI
Using Azure Web App and Azure OpenAI Service (GPT models), build a simple chatbot that responds to frequently asked questions on a selected subject. By removing offensive material and giving clear answers, you can incorporate the Responsible AI guidelines.

AI-900: Azure AI Fundamentals – Associate Training Program

Category
Associate
Exam Name:
AI-900: Azure AI Fundamentals – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)

What is the AI-900: Azure AI Fundamentals certification?

AI-900 validates basic knowledge of artificial intelligence and machine learning concepts on Azure. It focuses on services like Azure Cognitive Services, Machine Learning, and AI workloads. Techpratham explains that it’s a beginner-friendly certification for AI enthusiasts.

Who should take the AI-900 exam?

This exam is designed for students, business users, and beginners interested in AI. No technical background is required, making it suitable for anyone exploring AI concepts. Techpratham highlights that it’s a great entry point for non-technical learners.

What skills are measured in AI-900?

The exam covers AI workloads, machine learning principles, computer vision, natural language processing, and conversational AI. It also checks knowledge of responsible AI. Techpratham notes that the focus is on understanding, not coding.

What are the prerequisites for AI-900?

There are no prerequisites for this certification, and even beginners can attempt it. Basic familiarity with cloud services and AI terms is helpful. Techpratham suggests reviewing Microsoft Learn modules before taking the exam.

How long is the AI-900 certification valid?

The AI-900 certification is valid for one year and can be renewed online. Renewal involves passing a free Microsoft assessment. Techpratham emphasizes that staying updated with AI trends adds more value to the certification.

How much does the AI-900 exam cost?

The cost is usually around $99 USD, though pricing varies by country. Discounts are often available for students and educational institutions. Techpratham advises checking the official Microsoft website for updated pricing details.

What is the format of the AI-900 exam?

The exam includes multiple-choice, drag-and-drop, and case study questions. It tests theoretical understanding rather than deep technical skills. Techpratham explains that simple scenario-based questions make the exam approachable.

How should I prepare for the AI-900 exam?

Preparation should include Microsoft Learn resources, AI demos, and practice tests. Exploring Azure Cognitive Services and ML Studio helps build confidence. Techpratham recommends focusing on concepts rather than coding for this exam.

What job roles can I get after AI-900 certification?

AI-900 helps in roles like AI Business Analyst, AI Enthusiast, or entry-level AI Consultant. It also serves as a foundation for advanced certifications like DP-100. Techpratham points out that it’s useful for both technical and non-technical careers.

Is AI-900 considered difficult?

The exam is considered easy to moderate since it focuses on conceptual understanding. With a little preparation, most candidates can pass on the first attempt. Techpratham stresses that it is one of the most beginner-friendly Azure certifications.

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