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AI-102 : Training Overview
Master designing and implementing AI solutions using Azure Cognitive Services, Azure Bot Service, and Azure Machine Learning. This training covers natural language processing, speech, computer vision, conversational AI, and responsible AI practices. Gain hands-on experience building intelligent apps and bots that can analyze images, text, and speech—perfect for AI engineers building scalable AI solutions on Azure.
Why AI-102?
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Build expertise in Azure’s cutting-edge AI and cognitive services
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Design and implement AI solutions that enhance applications
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Prepare for a Microsoft certification that validates AI engineering skills
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Work with vision, speech, language, and conversational AI tools
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Meet growing demand for AI engineers in cloud environments
What You Will Learn
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Design and implement Azure Cognitive Services solutions (vision, speech, language)
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Build conversational AI using Azure Bot Service and Language Understanding (LUIS)
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Integrate AI models into applications using REST APIs and SDKs
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Implement responsible AI principles including fairness, privacy, and transparency
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Manage and optimize AI solutions with Azure Machine Learning and Cognitive Services
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Deploy, monitor, and troubleshoot AI applications in Azure
Prerequisites
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Experience with Azure fundamentals and cloud concepts
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Understanding of AI and machine learning basics
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Programming experience in Python, C#, or similar languages
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Familiarity with REST APIs and JSON
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Prior exposure to AI services like Cognitive Services or Bot Framework helpful
Course Curriculum
Understand fundamental AI concepts and Responsible AI ethics
Explore Azure AI services and APIs for cognitive capabilities
Learn security best practices for AI solutions in Azure
Deploy AI services in containers for flexibility and portability
Perform image analysis and object detection
Extract text using Optical Character Recognition (OCR)
Detect, analyze, and recognize faces in images/videos
Build custom vision models for specific classification needs
Analyze and translate text for insights and multilingual support
Build knowledge bases for question-answering applications
Implement speech-to-text, text-to-speech, and speech synthesis
Train custom text classifiers and develop conversational AI
Learn generative AI fundamentals and OpenAI Studio usage
Work with Azure OpenAI models and APIs
Apply prompt engineering and retrieval-augmented generation (RAG)
Integrate Azure OpenAI capabilities into applications
Use Azure AI Search and develop custom enrichment skills
Implement knowledge stores and enrichment pipelines for data organization
Design frameworks for responsible and ethical AI governance
Implement content moderation and responsible AI insights
Prevent harmful behavior using prompt shields and detection techniques
Gain practical experience building and deploying AI solutions on Azure
