Updated For 2026 - Ai 102: From Zero To Certified
Published 1/2026
Created by Ted Tisdall
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 79 Lectures ( 7h 13m ) | Size: 9.9 GB
What you'll learn
Design end-to-end Azure AI solutions by selecting the appropriate Azure AI services and architectures to meet real-world business and technical requirements.
Implement core Azure AI workloads including computer vision, natural language processing, knowledge mining, conversational AI, and generative AI
Build, train, evaluate, and deploy custom AI models for vision and language scenarios, and integrate them securely into production-ready solutions.
Apply responsible AI, security, and monitoring practices to ensure Azure AI solutions are safe, compliant, observable, and scalable in production environments.
Confidently pass the Microsoft AI-102 (Designing and Implementing an Azure AI Solution) certification exam by mastering exam-tested concepts.
Requirements
This is intended for those that have completed the Microsoft AI-900 (Azure AI Fundamentals) course, hold the AI-900 certification, or have equivalent foundational knowledge of Azure AI concepts.
Description
This course provides a comprehensive introduction to designing and implementing artificial intelligence solutions using Microsoft Azure, aligned directly to the AI-102: Designing and Implementing an Azure AI Solution certification exam.You'll develop a strong understanding of how to design, implement, secure, and monitor Azure AI solutions using Azure's AI services. The course covers core AI workloads-including computer vision, natural language processing, knowledge mining, conversational AI, and generative AI-while emphasizing real-world architecture decisions and service selection.Throughout the course, you'll learn how custom AI models are trained, evaluated, and deployed, how multiple Azure AI services are combined into end-to-end solutions, and how responsible AI, content safety, and security best practices are applied in production scenarios. Special attention is given to authentication methods, access control, monitoring, and lifecycle management, ensuring you understand not just what Azure AI services do, but how they are used in real enterprise environments.In addition to building technical understanding, this course is designed to help you confidently pass the Microsoft AI-102 certification exam. You'll learn how to analyze scenario-based exam questions, identify the correct Azure AI service for a given problem, and avoid common exam pitfalls. By the end of the course, you'll be prepared with the knowledge and decision-making skills required to design Azure AI solutions and succeed on the AI-102 exam.
Who this course is for
This course is designed for developers, solution architects, and IT professionals who want to design, implement, and certify Azure AI solutions using Microsoft Azure.
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