What will you in AI-900 Azure AI Fundamentals Exam Prep In One Day Course
Understand core AI and machine learning concepts and terminology.
Explore Microsoft Azure AI services: Cognitive Services, Azure Machine Learning, and Bot Service.
Implement vision solutions with Computer Vision and Form Recognizer.
Build language solutions using Text Analytics, Translator, and Language Understanding (LUIS).
Create conversational bots with the Azure Bot Framework and QnA Maker.
Leverage Azure Machine Learning for automated model training and deployment.
Program Overview
Module 1: AI Fundamentals & Azure Overview
⏳ 30 minutes
Define AI workloads—machine learning, computer vision, natural language processing.
Tour the Azure AI portfolio and tools, and understand regions and pricing tiers.
Module 2: Machine Learning on Azure
⏳ 45 minutes
Explore Azure Machine Learning Studio: workspaces, datasets, and experiments.
Use Automated ML to train classification, regression, and forecasting models.
Module 3: Computer Vision Services
⏳ 45 minutes
Analyze images with Computer Vision API: tagging, object detection, and OCR.
Automate form processing using Form Recognizer and custom models.
Module 4: Natural Language Processing
⏳ 45 minutes
Extract insights with Text Analytics: sentiment, key phrases, and named-entity recognition.
Translate text with Translator Text API and build language understanding models with LUIS.
Module 5: Conversational AI & Bots
⏳ 45 minutes
Design Q&A experiences using QnA Maker knowledge bases.
Build and deploy a bot with the Azure Bot Framework and integrate with channels.
Module 6: Responsible AI & Security
⏳ 30 minutes
Apply Microsoft Responsible AI principles: fairness, explainability, privacy.
Secure AI solutions with role-based access, keys, and private endpoints.
Module 7: AI Solution Patterns & Architecture
⏳ 30 minutes
Review common AI solution architectures: edge, real-time, and batch scenarios.
Understand scaling, monitoring, and cost-optimization strategies in Azure.
Module 8: Exam Preparation & Practice Questions
⏳ 30 minutes
Review AI-900 exam domains and weightings.
Practice with sample questions and elimination strategies.
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Job Outlook
High-Demand Roles: AI Engineer (Entry Level), Data Analyst, Business Analyst with AI expertise.
Salary Potential: ₹5–15 LPA in India; $75K–$100K annually in the U.S.
Growth Areas: AI-driven applications, cognitive services integration, and bot development.
Certification Impact: AI-900 validates foundational AI knowledge on Azure, opening doors to specialist roles and advanced certifications.
Explore More Learning Paths
If you’re preparing for the AI-900 Azure AI Fundamentals Exam, these courses will give you a strong foundation in Microsoft Azure AI concepts and help you succeed in your certification journey.
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