Microsoft Azure AI-102: Designing and Implementing an Azure AI Solution

𝗖𝗼𝘂𝗿𝘀𝗲 𝗠𝗼𝗱𝘂𝗹𝗲𝘀 𝗠𝗼𝗱𝘂𝗹𝗲 𝟭 — 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗼𝗻 𝗔𝘇𝘂𝗿𝗲 Overview of Azure AI services Solution architecture patterns Selecting the right AI services for business needs Responsible AI considerations 𝗠𝗼𝗱𝘂𝗹𝗲 𝟮 — 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 Image classification and object detection Face detection and analysis OCR and document processing Azure Vision Services and Document Intelligence Building custom vision models 𝗠𝗼𝗱𝘂𝗹𝗲 𝟯 — 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 Text analytics, entity recognition, sentiment analysis Custom text classification Azure Language Studio and Language Services Building intelligent search and summarization workflows 𝗠𝗼𝗱𝘂𝗹𝗲 𝟰 — 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 Designing conversational experiences Azure Bot Service and Bot Framework Composer Integrating Azure OpenAI for advanced conversational capabilities Deploying bots to channels and applications 𝗠𝗼𝗱𝘂𝗹𝗲 𝟱 — 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗠𝗶𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝘇𝘂𝗿𝗲 𝗔𝗜 𝗦𝗲𝗮𝗿𝗰𝗵 Indexing structured and unstructured data Cognitive skillsets and enrichment pipelines Building intelligent search experiences Implementing semantic search and vector search 𝗠𝗼𝗱𝘂𝗹𝗲 𝟲 — 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗔𝗜 𝗶𝗻𝘁𝗼 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Using REST APIs and SDKs Authentication and security Monitoring, scaling, and optimizing AI workloads Deploying solutions to production environments 𝗠𝗼𝗱𝘂𝗹𝗲 𝟳 — 𝗘𝘅𝗮𝗺 𝗣𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗔𝗜‐𝟭𝟬𝟮 Skills measured and exam structure Hands‑on practice scenarios Architecture review and solution walkthroughs Certification readiness tips 𝗪𝗵𝘆 𝗟𝗲𝗮𝗿𝗻𝗲𝗿𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗧𝗵𝗶𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 Real‑world, project‑based learning Deep dive into Azure AI services and engineering practices Practical experience with enterprise‑grade AI tools Clear pathway to the AI‑102 certification Taught by experienced AI practitioners and educators