AI-100: Designing and Implementing an Azure AI Solutions

Clear and Concise

What you'll learn
Ingest, transform, and prepare data for AI solutions
Design and implement end-to-end AI solutions on Microsoft Azure
Monitor and optimize AI solutions deployed on Microsoft Azure
Secure AI solutions on Microsoft Azure
You will be able to integrate and get best results for any computer vision or Natural Language processing tasks.
Ability to show and include Machine Learning applications in your app
Learn Microsoft Azure - Cloud platform cognitive services like Face, Vision, Text API

Requirements
This path is intended for learners who are familiar with common AI workflows and concepts, but who do not have experience applying these concepts using Microsoft Azure services.
Basic Python or Javascript
Basic idea about HTTP, REST
Usage of Visual Studio

Description
Course Update:While the original content is based on the AI-100 exam, learners preparing for AI-102 can still benefit from the existing modules, as the core concepts and practical knowledge remain highly relevant and applicable to the updated certification.Course Overview:Microsoft Azure provides a comprehensive suite of services designed to enable rapid development, deployment, and operationalization of intelligent AI-driven solutions. This course is structured to help you understand how these services integrate to support the design, implementation, monitoring, optimization, and security of AI applications in real-world scenarios.Originally tailored for the Microsoft AI-100 certification exam, the course remains highly valuable for those pursuing AI-102, as it covers the foundational and advanced topics that are critical to success in the evolving AI landscape on Azure.What You’ll Learn:The course offers deep, hands-on exploration of Azure Cognitive Services APIs, including:Vision APIs: Face detection, content tagging, and Optical Character Recognition (OCR)Language APIs: Language detection, sentiment analysis, and key phrase extractionYou’ll implement these services using both Python and JavaScript, ensuring a practical, real-world learning experience that prepares you for modern AI development tasks.Detailed Course Content:1. Analyze Solution Requirements (25–30%)Recommend and select Azure Cognitive Services APIsChoose appropriate data processing technologies and AI modelsMap security and automation needs to technologies and toolsAlign with data privacy, protection, and compliance regulationsIdentify software, services, and storage to support the AI solution2. Design AI Solutions (40–45%)Create AI workflows and data ingestion/egress strategiesIntegrate pipelines using Azure Machine Learning and AI appsBuild solutions using Vision, Speech, Language, and Knowledge APIsDesign and integrate bots using the Microsoft Bot Framework and LUISSelect the right compute infrastructure (GPU, FPGA, CPU) and ensure cost-efficiencyIncorporate governance, compliance, and security principles in AI design3. Implement and Monitor AI Solutions (25–30%)Develop and manage AI pipelines and data flowConstruct custom AI service interfaces and solution endpointsIntegrate Azure Cognitive Services and the Microsoft Bot FrameworkImplement Azure Cognitive SearchMonitor key performance metrics and optimize AI performanceWhether you are aiming to pass the AI-102 certification or seeking to apply AI concepts in your organization, this course will equip you with both theoretical understanding and practical expertise.If you have any questions or need guidance, feel free to reach out. I’m here to support your learning journey.Welcome to the course — let’s get started!

Who this course is for:
Participants who intend to learn common AI workflows and concepts, Participants who want to Secure AI solutions, Participants preparing for AI 100 Microsoft Certification