What will you learn in Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization Course
Gain a foundational understanding of artificial intelligence (AI) and its real-world applications
Learn the core principles of machine learning, computer vision, natural language processing, and conversational AI
Explore how Microsoft Azure services power AI solutions, including Azure Cognitive Services and Azure Machine Learning
Understand responsible AI, including fairness, reliability, transparency, and privacy
Prepare for the Microsoft Certified: Azure AI Fundamentals (AI-900) certification exam
Program Overview
Course 1: Introduction to AI and Azure AI Services
⏳ 1 week
Topics: AI concepts, types of AI, Azure AI services overview
Hands-on: Navigate Azure portal and explore prebuilt AI capabilities like speech and vision
Course 2: Machine Learning with Azure
⏳ 1 week
Topics: Supervised and unsupervised learning, model evaluation, no-code ML in Azure
Hands-on: Build, train, and deploy a basic ML model using Azure Machine Learning Studio
Course 3: Computer Vision & NLP in Azure
⏳ 1 week
Topics: Image classification, OCR, facial recognition, text analytics, language understanding
Hands-on: Use Azure Computer Vision and Language Services for real-world analysis
Course 4: Conversational AI & Responsible AI
⏳ 1 week
Topics: Chatbots with Azure Bot Service, AI ethics, transparency, inclusiveness
Hands-on: Build a simple chatbot and apply responsible AI principles in deployment
Course 5: Exam Preparation for AI-900
⏳ 1 week
Topics: Exam structure, sample questions, test-taking tips, review of key concepts
Hands-on: Complete mock assessments and knowledge checks to reinforce learning
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Job Outlook
The demand for Azure AI-certified professionals is growing across cloud, enterprise, and IT sectors
AI-900 certification validates core AI knowledge, making it ideal for roles like Cloud AI Associate, AI Support Analyst, and Technical Consultant
Foundational AI skills help non-technical professionals pivot into AI-adjacent roles in business and IT
Azure AI certification boosts resumes for both aspiring and existing cloud professionals
Specification: Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization
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FAQs
- Beginner-friendly but recommends basic Python knowledge.
- Introduces foundational concepts of AI agents and agentic AI.
- Focuses on practical, hands-on projects to reinforce learning.
- Covers Python-based agent design, planning, memory, and reasoning.
- Offers structured exercises to gradually increase complexity.
- Learn multi-agent architecture and agent communication.
- Implement autonomous task handling in Python.
- Coordinate agent workflows to achieve complex objectives.
- Apply real-world tools like LangChain, OpenAI APIs, and vector databases.
- Gain hands-on experience with project-based exercises.
- OpenAI API usage may require a paid subscription.
- Vector databases and LangChain tools might involve optional costs.
- Core learning and agent design principles do not require payment.
- Free trials can be leveraged for hands-on practice.
- Focus remains on AI agent building, evaluation, and deployment.
- Develop skills relevant to AI Systems Developer, Agent Architect, and Automation Engineer roles.
- Hands-on projects build portfolio-ready experience.
- Learn evaluation, safety, and deployment of AI agents.
- Gain expertise in prompt engineering and LLM integration.
- Prepares for jobs in startups, enterprises, and freelance AI projects.
- Enables building Python-based AI agents for real-world projects.
- Covers tool integration, prompt engineering, and agent evaluation.
- Supports creation of portfolio projects for freelance or consulting work.
- Teaches ethical deployment and reliability best practices.
- Encourages experimentation with generative AI agents in practical scenarios.
