Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 17 Minute(s)
Language
English
Taught by
Nandy Bo | InfoSec & Azure Expert | $2,000,000+ Earned On Upwork & Fiverr Pro | 1,000+ Students
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
![AI-102: Become An Azure AI Engineer In One Weekend [2025]](https://i.udemycdn.com/course/480x270/6783825_f80f_4.jpg)
Learn how to use Azure Cognitive Services to pass the AI-102 and utilize AI in your own applications
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 course
Aligned 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 for
Engineers 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.
Course Content
- 9 section(s)
- 38 lecture(s)
- Section 1 Introduction
- Section 2 Foundations of Azure AI: Principles, Services, and First Steps
- Section 3 Applied Language AI on Azure: Moderation, Analytics & Understanding
- Section 4 Voice AI on Azure: Recognition, Translation & Natural Synthesis
- Section 5 Vision AI on Azure: Image, Face & Video Insights
- Section 6 Advanced Language AI on Azure: CLU Schema, Summarization & Secure Ops
- Section 7 Operational AI Governance on Azure: Compliance, Monitoring & Security
- Section 8 Bot Development on Azure: Architecture, Channels, DevOps & Security
- Section 9 Course Closer
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.
Skills covered in this course
Reviews
-
AAshok Kumar Piplai
Course does not offer any hands on demo, just slides that instructor reads throughout the course. No one can pass an exam or build any real concept without getting used to with the services. Seriously not recommended for anything.
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FF M
This course is way too theoretical. AI-102 requires hands on practice. Let alone this course is geared towards Security professionals. The instructor should change the header of this course because it's not accurately represented.
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AAbhisek Roy
The instuctor only covered theoretical part and mostly related to cyber security, no live demo to undertand.
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RRichard Luck
This course clearly explains how to work with Azure Cognitive Services and prepares you well for the AI-102 exam. It also gives practical examples that make it easy to apply AI to real-world projects.
