Artificial Intelligence

Azure AI Engineer (AI-102)

Build and deploy AI solutions using Azure Cognitive Services and Azure AI.

3–5 months
Prep time
60
Exam questions
70%
Pass score

About this course

AI-102 covers designing and implementing AI solutions including natural language processing, computer vision, knowledge mining, and conversational AI using Azure OpenAI, Cognitive Services, and Azure Machine Learning.

Learning roadmap

1
AI fundamentals & Azure AI overview
Cognitive Services, responsible AI principles
1 week
2
Natural language processing
Text Analytics, LUIS, QnA Maker, Translator
3 weeks
3
Computer vision
Custom Vision, Face API, Form Recognizer
2 weeks
4
Azure OpenAI & conversational AI
GPT integration, Bot Framework, Copilot Studio
3 weeks
5
Practice & exam prep
Scenario labs, mock exams, review
2 weeks

Certification details

Microsoft Certified: Azure AI Engineer Associate
Issued by Microsoft  ·  Valid for 2 years  ·  Exam code: AI-102
60 questions · 120 min · Case studies  ·  Cost: USD 165
Globally recognized

Market demand

55K+
Open jobs globally
44%
YoY job growth
Fastest growing AI cert
Industry ranking
350K+
Certified worldwide

Salary range (annual, USD equivalent)

USA
$110K–$185K
UK
$90K–$155K
Germany
$85K–$140K
UAE
$70K–$120K
India
$15K–$45K

Career growth path

AI Developer
Entry
AI Engineer
Mid
Sr. AI Engineer
Senior
AI Architect
Expert
Head of AI
Lead

Interesting facts

The AI market is projected to reach $1.8 trillion by 2030, growing at 37% CAGR.
Azure OpenAI Service powers millions of AI applications built on GPT-4 and beyond.
AI Engineers are among the top 5 highest-paying tech roles globally as of 2024.
Azure Cognitive Services processes over 10 billion AI API calls per day worldwide.

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