AI-900: Azure AI Fundamentals introduces core AI concepts and Azure AI services, helping learners understand machine learning, computer vision, NLP, and responsible AI basics.
AI-900: Azure AI Fundamentals introduces core AI concepts and Azure AI services, helping learners understand machine learning, computer vision, NLP, and responsible AI basics.
Level
Advanced
Duration
8 weeks
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The AI-900: Azure AI Fundamentals course is designed to provide a strong foundational understanding of artificial intelligence concepts and how they are implemented using Microsoft Azure. This course is ideal for beginners, business professionals, and technical learners who want to explore AI without requiring prior coding or data science experience. Learners will gain clarity on core AI workloads such as machine learning, computer vision, natural language processing, conversational AI, and decision support systems. The curriculum emphasizes Azure AI services including Azure Machine Learning, Cognitive Services, and Azure OpenAI, focusing on real-world use cases and business value rather than deep algorithmic theory. Ethical considerations such as responsible AI, fairness, reliability, privacy, and transparency are also covered to ensure learners understand the importance of trustworthy AI solutions. Delivered through structured modules, demos, and hands-on concepts, this course on Jast Tech prepares learners to confidently understand AI capabilities, communicate with AI teams, and successfully clear the Microsoft AI-900 certification exam.
The AI-900: Azure AI Fundamentals course is designed to provide a strong foundational understanding of artificial intelligence concepts and how they are implemented using Microsoft Azure. This course is ideal for beginners, business professionals, and technical learners who want to explore AI without requiring prior coding or data science experience. Learners will gain clarity on core AI workloads such as machine learning, computer vision, natural language processing, conversational AI, and decision support systems. The curriculum emphasizes Azure AI services including Azure Machine Learning, Cognitive Services, and Azure OpenAI, focusing on real-world use cases and business value rather than deep algorithmic theory. Ethical considerations such as responsible AI, fairness, reliability, privacy, and transparency are also covered to ensure learners understand the importance of trustworthy AI solutions. Delivered through structured modules, demos, and hands-on concepts, this course on Jast Tech prepares learners to confidently understand AI capabilities, communicate with AI teams, and successfully clear the Microsoft AI-900 certification exam.
Job Roles You Can Achieve
After completing this course
- Solutions Architect
- Technical Consultant
- Implementation Specialist
- System Administrator
- IT Professional
AI-900: Azure AI Fundamentals Curriculum
Introduction to Artificial Intelligence
This module establishes a foundational understanding of artificial intelligence and its role in modern technology and business. It explains how AI differs from traditional software systems.
Principles of Machine Learning
Focuses on how machines learn from data and identify patterns. Learners understand key ML concepts without diving into complex mathematics.
Azure Machine Learning Overview
Introduces Azure Machine Learning as a platform for building, training, and deploying models. Emphasis is on understanding capabilities rather than implementation depth.
Computer Vision Workloads
Explains how AI systems interpret images and videos. Learners explore real-world vision-based AI solutions.
Azure Computer Vision Services
Covers Azure services used to build vision solutions quickly. Focuses on use cases and service selection.
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Time
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Duration
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Certification Details
AI-900: Azure AI Fundamentals – Associate
- Exam Name
AI-900: Azure AI Fundamentals – Associate
- Duration
130 minutes
- Format
Multiple Choice & Multi-Response
- Passing Score
720 (Scale: 100–1000)
- Level
Associate
Prepare
Top Interview Questions
Curated questions with expert answers to help you ace your next interview.
Q1. What is the difference between AI, machine learning, and deep learning?
AI is the broader concept of machines performing intelligent tasks, machine learning is a subset where systems learn from data, and deep learning is a specialized ML technique using neural networks.
Q2. What are Azure Cognitive Services?
Azure Cognitive Services are prebuilt AI services that enable developers to add vision, speech, language, and decision-making capabilities without building models from scratch.
Q3. What is supervised learning?
Supervised learning is a machine learning approach where models are trained using labeled data to predict known outcomes.
Q4. Why is responsible AI important?
Responsible AI ensures AI systems are fair, transparent, reliable, secure, and respect privacy, reducing bias and ethical risks.
Q5. What types of workloads does AI-900 cover?
AI-900 covers machine learning, computer vision, natural language processing, conversational AI, and decision support workloads.
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Frequently Asked FAQs
Can't find what you're looking for? Reach out to our support team anytime.
Q1. Who should take the AI-900 course?
This course is ideal for beginners, students, business professionals, and non-technical roles who want to understand AI concepts and Azure AI services.
Q2. Is coding required for AI-900?
No, the AI-900 exam and course focus on conceptual understanding rather than hands-on coding.
Q3. What Azure services are covered in this course?
The course covers Azure Machine Learning, Azure Cognitive Services, Azure Bot Service, and Azure OpenAI concepts.
Q4. Does this course prepare me for certification?
Yes, it fully aligns with the Microsoft AI-900: Azure AI Fundamentals certification exam objectives.
Q5. What career benefits does this course provide?
It helps learners understand AI fundamentals, collaborate with AI teams, and opens pathways toward advanced AI and data certifications.
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