Azure AI Engineer Associate Certification (AI-102) Prep Bootcamp
Published by O'Reilly Media, Inc.
Course outcomes
- Prepare for the exam
- Explore Azure AI
Course description
Join Dr. Yasir Khan to learn what to expect on the Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution exam. Following successful passing of this exam, the earned Azure AI Engineer Associate certification is proof that you have a comprehensive understanding of the Azure AI platform and its tools, and that you possess the right skills to perform AI tasks. Developed by industry experts, this certification validates your skills in building computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure which are valuable skills in today's competitive job market.
**NOTE:**With today’s registration, you’ll be signed up for both sessions. Although you can attend either of the sessions individually, we recommend participating in both.
What you’ll learn and how you can apply it
- Complete your AI-102 exam preparation with confidence
- Develop computer vision solutions with Azure AI Vision
- Develop natural language processing solutions using Azure AI Language
- Develop solutions with Azure AI Document Intelligence
- Develop generative AI solutions with Azure OpenAI Service
This live event is for you because...
- You're already a data scientist or AI engineer who wants to apply your skills to Azure AI.
- You want to achieve a Microsoft Azure AI Engineer Associate certification.
- You're new to Azure AI and want to specialize in AI using Azure AI.
- You currently work or plan to work with solution architects, data engineers, data scientists, and software developers on Azure AI.
Prerequisites
- Bookmark the course Bitbucket repository (instructions for cloning the repo will be given in the course)
Recommended preparation:
- (Optional) A free Microsoft account and a Microsoft Azure 30-day trial (to follow along with the demonstrations)
- (Optional) A paid Azure subscription (if you’re ineligible for a free trial and you’d like to follow along with the demos)
- Read A Developer’s Guide to Building AI Applications, second edition (book)
- Read Azure AI Services at Scale for Cloud, Mobile, and Edge (book)
- Take Exam AZ-900: Microsoft Azure Fundamentals (on-demand course)
- Take Microsoft Azure AI Fundamentals (AI-900) Crash Course (live online course with Reza Salehi)
Recommended follow-up:
- Take Practice Assessment (practice test)
- Refer to official Microsoft documentation on Azure AI
- Watch The AI Show (video)
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Day 1: Introduction to Azure AI, Computer Vision, and Document Intelligence Solution
Introduction (30 minutes)
- Presentation: Introduction to AI and Azure AI Services; using Azure AI Services for enterprise applications
- Q&A
Implementing decision-support solutions (90 minutes)
- Presentation and demo: Data monitoring with Azure AI Metrics Advisor; text and image moderation with Azure AI Content Safety
- Q&A
- Break
Getting started with Computer Vision (90 minutes)
- Presentation: Analyzing images and videos with computer vision; image classification and object detection; Computer Vision service, Face service
- Q&A
- Break
Using AI Document Intelligence solution (30 minutes)
- Presentation and demo: Document Intelligence solution
- Q&A
Day 2: NLP and Generative AI Solutions on Azure AI
Using AI Speech (45 minutes)
- Presentation and demo: Text analysis and speech processing
- Q&A
Using Language Understanding and Azure AI Language (60 minutes)
- Presentation and demo: Language translation; Language Understanding model
- Q&A
- Break
Content generation with OpenAI Service (90 minutes)
- Presentation and demo: Code and image generation; efficient prompt engineering
- Q&A
- Break
Avoiding hallucinations with generative AI (30 minutes)
- Presentation and demo: Retrieval augmented generation; responsible generative AI
- Q&A
Exam details (15 minutes)
- Presentation: Certification exam format, best practices, guidelines, and useful links
- Q&A
Your Instructor
Yasir Khan
Dr. Yasir Khan is the founder of 38 Labs, an Enterprise Data & AI consulting group with offices based out of Paris, New York and Bangalore. He holds a PhD in AI and is an instructor at O’Reilly Media mentoring future experts on AI transformation, machine learning, enterprise solutions and digital transformation. Over his career he has published several articles for leading publishing houses in the field of AI. He speaks at several international conferences such as PyCon, PyData, IEEE. In his spare time he likes flying aircrafts, climbing mountains and traveling.