What will you learn in Preparing for AI-900: Microsoft Azure AI Fundamentals exam Course
- Prepare effectively for the Microsoft Certified: Azure AI Fundamentals (AI-900) exam
- Understand key AI concepts, including machine learning, computer vision, NLP, and conversational AI
- Learn how Microsoft Azure services support AI workloads through tools like Azure Cognitive Services and Azure Bot Services
- Gain insights into responsible AI practices such as fairness, transparency, and privacy
Program Overview
Module 1: Introduction to AI and the AI-900 Certification
⏳ 1 week
Topics: AI basics, certification overview, types of AI, practical use cases
Hands-on: Explore Azure AI tools and prepare a study roadmap
Module 2: Machine Learning in Azure
⏳ 1 week
Topics: Supervised/unsupervised learning, regression/classification, model training
Hands-on: Use Azure ML Studio to build and deploy simple models
Module 3: Computer Vision and NLP
⏳ 1 week
Topics: Image processing, OCR, object detection, text analytics, language understanding
Hands-on: Analyze images and text using Azure Cognitive Services
Module 4: Conversational AI & Responsible AI
⏳ 1 week
Topics: Azure Bot Services, ethical AI, fairness, inclusiveness, transparency
Hands-on: Create a chatbot and review ethical scenarios in AI applications
Module 5: Practice Exams and Final Preparation
⏳ 1 week
Topics: AI-900 exam format, common pitfalls, revision strategies
Hands-on: Take practice tests and simulate exam environment
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Job Outlook
- AI-900 certification is a valuable starting point for cloud and AI-related careers
- Boosts career prospects in roles like AI Support Specialist, Azure AI Associate, and Cloud Analyst
- Growing demand for AI-literate professionals across industries and business functions
- Certification provides foundational AI knowledge for non-technical professionals and tech beginners
Specification: Preparing for AI-900: Microsoft Azure AI Fundamentals exam Course
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FAQs
- No prior AI or Azure experience is needed; beginner-friendly.
- Focuses on foundational AI concepts, including machine learning, NLP, and computer vision.
- Hands-on labs guide learners through Azure Cognitive Services and Bot Services.
- Basic IT literacy is sufficient to start the course.
- Suitable for professionals and students aiming for AI-900 certification.
- Covers all key AI-900 exam objectives.
- Includes practice exams and simulated test environments.
- Focuses on common pitfalls, revision strategies, and time management.
- Provides step-by-step guidance for real Azure tools usage.
- Helps learners build confidence for both theory and practical exam components.
- Includes labs on image analysis, text analytics, and conversational AI.
- Students build and deploy simple ML models using Azure ML Studio.
- Practical exercises simulate real-world AI workflows.
- Hands-on tasks reinforce learning and certification readiness.
- Teaches responsible AI practices like fairness, transparency, and privacy.
- Covers fairness, inclusiveness, transparency, and privacy in AI applications.
- Includes exercises to review ethical scenarios using Azure AI tools.
- Teaches responsible AI adoption in professional settings.
- Emphasizes practical implementation of governance principles.
- Prepares learners to consider ethics in real-world AI deployments.
- Roles include AI Support Specialist, Azure AI Associate, and Cloud Analyst.
- Entry-level positions benefit from foundational AI knowledge.
- Applicable across industries with growing demand for AI-literate professionals.
- Certification strengthens resumes for both technical and non-technical professionals.
- Provides a foundation for further advanced AI and Azure certifications.
