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.
Level
Intermediate
Duration
8 Weeks
Placement Client
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About 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 & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
AI-900: Azure AI Fundamentals
Course Curriculum
Introduction to Artificial Intelligence
Understand the basics of AI, machine learning, and Azure AI services.
Fundamentals of Machine Learning
Learn how machine learning models are built, trained, and deployed.
Explore Computer Vision
Discover computer vision capabilities such as image recognition and object detection.
Explore Natural Language Processing (NLP)
Understand how Azure services process, translate, and analyze language.
Explore Conversational AI
Learn about bots, Azure Bot Service, and building intelligent conversational agents.
Fundamentals of Responsible AI
Study ethical principles, fairness, and governance in AI.
Azure Courses
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Additional Program Highlights
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Who Should Take AI-900: Azure AI Fundamentals
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1><strong>AI-900: Azure AI Fundamentals</strong></h1>
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.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
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Industry-Recognized Certification
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