Free Download AI-102 Become An Azure AI Engineer In One Weekend [2025]
Published 8/2025
Created by Nandy Bo | InfoSec & Azure Expert | $2,000,000+ Earned On Upwork & Fiverr Pro | 1,000+ Students
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 38 Lectures ( 7h 13m ) | Size: 5.13 GB
Learn how to use Azure Cognitive Services to pass the AI-102 and utilize AI in your own applications
What you'll learn
Design and manage Azure AI solutions end-to-end aligned to the AI-102 exam.
Build NLP, vision, and document intelligence with Azure Cognitive Services.
Implement generative AI with Azure OpenAI and Retrieval-Augmented Generation.
Integrate CLU and Bot Framework to deliver secure, conversational AI on Azure.
Operationalize AI: monitor, cost-optimize, and scale workloads using Azure tools.
Apply Responsible AI, data privacy, and security to meet enterprise compliance.
Requirements
A free or paid subscription to Microsoft Azure
Excitement to learn Microsoft's constantly growing cloud platform
Ideally, previous experience with Visual Studio
Previous coding experience in C# or similar language
Description
Covers the requirements of Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. Updated for the April 30, 2025 skills outline so you're learning exactly what's measured today.Continuously improved since launch with new quizzes, hands-on labs, and downloadable resources-so you can track progress and practice with realistic scenarios that mirror the exam's style and scope.Built for the Azure AI Engineer role. As an Azure AI engineer, you'll design, build, and ship solutions using Azure AI services across the full lifecycle-requirements, development, deployment, integration, performance tuning, and monitoring-often in partnership with architects, data scientists, and engineers.Prerequisites & target audience. You should be comfortable developing in C# or Python and able to work with REST APIs and SDKs to build secure solutions in computer vision, video, natural language processing, knowledge mining, and generative AI-with a working knowledge of Azure AI components, data storage options, and Responsible AI practices. What the exam measures (latest blueprint)Plan and manage an Azure AI solution (20-25%)Implement generative AI solutions (15-20%)Implement an agentic solution (5-10%)Implement computer vision solutions (10-15%)Implement natural language processing solutions (15-20%)Implement knowledge mining and information extraction solutions (15-20%) Why this courseAligned to the official skills outline and refreshed when Microsoft updates the exam.Hands-on first: build real Azure AI solutions-vision, language, search, bots, and gen-AI-so you're ready for both the exam and on-the-job work.Exam-style practice: scenario questions and labs that reinforce the exact capabilities Microsoft evaluates.Who this course is forEngineers and developers working with Azure who want a structured path to the Azure AI Engineer Associate credential.Teams building AI features on Azure and seeking shared patterns for secure, reliable deployments.Professionals aiming to pass Exam AI-102 and validate practical skills with Azure AI services.
Who this course is for
Developers preparing for Microsoft Azure AI-102 (Azure AI Engineer Associate).
C# or Python engineers building NLP, vision, and generative AI on Azure.
Solution architects and tech leBot developers integrating CLU, Azure OpenAI, and Bot Framework into apps.
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