Course Overview
Course Description
Discover the fundamentals of building AI solutions in Azure with this one-day, instructor-led Introduction to AI in Azure course. Designed for beginners and non-technical professionals, you'll explore core AI concepts—machine learning, computer vision, natural language processing, conversational AI, document intelligence, and generative AI—alongside the Azure services that power them. Through real-world demos and practical activities, you’ll develop the awareness to design AI use cases and strategically plan solutions using Azure AI services.
Target Audience
Ideal for:
Beginners and professionals curious about applying AI in Azure
IT decision-makers, business analysts, marketers, and operations teams exploring AI workloads
Anyone preparing for the Azure AI Fundamentals (AI900) certification
Prerequisites:
Basic familiarity with computers, the internet, and fundamental programming or data concepts
No prior Azure or machine learning experience needed
🤖 AI Agent-Led Learning Experience
Intelligent Learning Support
AI agents provide 24/7 personalized and expert instruction, adapting to your learning pace and style.
Personalized Practice
Receive customized exercises and scenarios based on your progress and areas for improvement.
Continuous Assessment
Real-time feedback and progress tracking help you stay on track and achieve your learning goals.
Hands-On Labs
This course includes practical, hands-on laboratory exercises to reinforce your learning:
Lesson 1: AI Overview
Lesson 1: AI Overview introduces the core concepts of Artificial Intelligence, including types of machine learning, common AI workloads, and the principles of responsible AI. Learners explore how Azure services such as Azure Machine Learning, Azure AI Services, and Azure Cognitive Search support AI development. The lesson concludes with hands-on labs to build a machine learning model using AutoML and explore Azure’s built-in AI services.
Lesson 2: Computer Vision
Lesson 2: Computer Vision introduces the fundamentals of how AI interprets visual data through Azure AI Vision services. Learners explore capabilities such as image captioning, object detection, face recognition, and optical character recognition (OCR). Through practical exercises using Azure AI Foundry and Vision Studio, students learn to analyze images, detect faces, and extract text — equipping them to build vision-based AI solutions across industries like retail, healthcare, and manufacturing.
Lesson 3: Natural Language Processing
Lesson 3: Natural Language Processing introduces how AI can understand, analyze, and generate human language using Azure AI Language services. Learners explore key NLP tasks such as entity recognition, key phrase extraction, sentiment analysis, text summarization, and question answering. The lesson includes hands-on labs in Azure AI Foundry and Language Studio, helping students build solutions that can interpret language and respond intelligently
Lesson 4: Document Intelligence and Knowledge Mining
Lesson 4: Document Intelligence and Knowledge Mining explores how Azure AI can extract structured data from unstructured documents using Document Intelligence and enrich that data for powerful search scenarios using Azure AI Search. Learners use prebuilt models to analyze documents like receipts, and then build intelligent search indexes from customer data using enrichment skills like sentiment analysis and key phrase extraction. The lesson demonstrates how to transform content into searchable insights stored in a Knowledge Store.
Lesson 5: Generative AI
Lesson 5: Generative AI introduces the fundamentals of generative artificial intelligence and the Azure OpenAI Service. Learners explore how models like GPT-4 can generate text, images, and code, and how to use these models responsibly. The lesson also covers deploying generative models in Azure AI Foundry, using playgrounds for experimentation, and applying content filters to ensure safe and ethical AI use.
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