AZURE AI 102 SYLLABUS
Course Information
- Course Number: AI 102
- Course Time and Location:
- Time: Thursdays 11am to 1pm, PST
- Duration: May 2nd 2024 – July 18th 2024
- Location: Remote | Spokane Public Library, Downtown – 906 W Main
Course Description
This course is structured around preparing for the Azure AI 102 exam to become a Microsoft Certified Azure AI Engineer Associate. However, it also broadly covers the applications and limitations of current cloud-based AI offerings.
Weekly sessions will include walkthroughs, discussions, code samples, and demonstrations, with an emphasis on real-world applicability. Participants will be provided Microsoft-curated supplementary readings, as well as weekly example projects to optionally complete.
Course Objectives
By the end of this course, participants are expected to know how to:
- Plan and manage an Azure AI solution
- Implement decision support solutions
- Implement computer vision solutions
- Implement natural language processing solutions
- Implement knowledge mining and document intelligence solutions
- Implement generative AI solutions
Who Should Take This Course
This course is designed for three target audiences.
- People preparing for the AI 102 certification exam.
- This group is expected to have some existing knowledge of Azure, as well as some familiarity with Python or C#.
- This group should thoroughly review the supplementary reading, which is targeted for the exam.
- Developers seeking to learn how to integrate AI solutions into their applications.
- This group is expected to have some existing knowledge of Azure, as well as some familiarity with Python or C#.
- This group may also benefit from reading the supplementary reading materials, but should focus on completing weekly projects.
- People looking to see specific examples and better understand AI use-cases.
- This group will benefit most directly from the weekly hybrid discussions and demonstrations.
Technologies Covered
Natural language processing | Knowledge mining and document intelligence | Computer vision | Decision support | Generative AI |
---|---|---|---|---|
Text analysis | AI Search | Image analysis | Content safety | Azure OpenAI Service |
Question answering | Document Intelligence | Video analysis | Content moderation | DALL-E image generation |
Language understanding | Custom Document Intelligence | Image classification | ||
Translation | Custom skills | Object detection | ||
Named entity recognition | Facial analysis | |||
Custom text classification | Optical character recognition | |||
Speech | Azure AI Video Indexer | |||
Speech Translation |
Course Schedule
Important! Apply for Azure OpenAI access early!
Learning Schedule
Additional Resources
Short video recaps:
https://learn.microsoft.com/en-us/shows/exam-readiness-zone/?terms=AI-102
Study guide:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102#skills-measured-as-of-march-28-2024
Practice Exam (at your own peril): https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/practice/assessment?assessment-type=practice&assessmentId=61&practice-assessment-type=certification&source=docs
AI 102 Exam Preparedness:
Exam Structure:
- 45ish questions
- multiple sections.
- Need 700/1000 to pass.
- The questions are lame.
- “Open book”
- Access to Microsoft Learn and Docs, but you will be very time constrained.
Types of questions to expect:
1.
You have a computer vision resource named contoso1 that is hosted in the West US Azure region. You need to use the smart cropping feature. How should you complete the API URL?
______/vision/3.1/
a. “api.projectoxford.ai”
b. “westus.api.cognitive.microsoft.com”
c. “contoso1.cognitiveservices.azure.com”
- What does this Content Moderator score suggest?
"Classification": {
"ReviewRecommended": true,
"Category1": {
"Score": 0.99756889843889822
},
"Category2": {
"Score": 0.12747249007225037
},
"Category3": {
"Score": 0.98799997568130493
}
}
Code language: JavaScript (javascript)
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