AI-102 Certification Overview
The Azure AI-102 certification, officially titled “Designing and Implementing a Microsoft Azure AI Solution”, is ideal for software developers and architects aiming to create AI-powered solutions. If you already have experience with C# or Python, this certification will let you dive straight into learning and implementing Azure AI offerings like Azure AI Services, Azure Cognitive Search, and Azure OpenAI Service.
For those new to Azure AI, completing the AI-900 Fundamentals exam first is highly recommended. It builds the foundational knowledge required for the AI-102 exam and is often available with free vouchers
This guide provides a collection of resources, AI-102 exam questions, and strategies to help you pass. Whether you’re looking for a structured study guide or AI-102 practice tests, this page has got you covered.
Essential AI-102 Study Guide Resources
AI-102 Study Guide: Before diving into exam prep, read the official AI-102 study guide. This document outlines the key skills measured and focus areas of the exam:
Exam Prep Video Series
- Microsoft Reactor AI-102 Exam Prep: Over 14 hours of video content, this series covers key areas from defining AI concepts to responsible AI practices, plus hands-on tutorials for Azure AI. Watch here.
- Preparing for AI-102: Plan and Manage an Azure AI Solution: This series dives into the skills needed for the exam with six video sessions. Check it out here.
- John Savill’s Technical Training: A two-hour crash course covering the big picture and helping you identify any knowledge gaps. View the cram session.
- FreeCodeCamp: This comprehensive 14-hour course is an excellent introduction to Azure AI Services, Azure Cognitive Search, and Azure OpenAI. Start watching here.
- Scott Duffy’s AI-102 Course: Scott’s teaching style is clear and straightforward. Available on Udemy, often with discounted pricing. See Scott’s course on Udemy.
Microsoft Learn Paths for Azure AI
Explore Azure AI’s core services through Microsoft Learn:
- Azure AI Services: Get started with provisioning, securing, and deploying resources to build intelligent solutions.
- Azure AI Vision: Discover how to create computer vision solutions.
- Natural Language Processing: Develop NLP solutions to interpret written and spoken language.
- Azure Cognitive Search: Extract and search structured and unstructured data.
- Azure OpenAI Service: Access large language models like ChatGPT and GPT for NLP solutions.
AI-102 Practice Questions
- AI-102 practice questions: Test your knowledge with 50 official AI-102 practice questions provided by Microsoft: Take the practice test here.
Additional Resources for AI-102 Exam Preparation
To enhance your learning and fill any knowledge gaps, here are some valuable additional resources I’ve found usefull.
- Vector Search and State-of-the-Art Retrieval for Generative AI Apps: This video by Pamela Fox dives deep into vector search, Retrieval-Augmented Generation (RAG), and AI search. It bridges the gap between theory and practical application. Watch it here.
- Microsoft AI Engineer Exercises: A collection of hands-on labs and exercises aligned with AI-102 objectives. Perfect for practical learning in a controlled environment at your own pace.
Access the labs here.
Study Tips and Strategies
- Hands-on Lab Exercises: Working in a lab environment helps reinforce your learning. Check out Microsoft’s AI-102 lab exercises here.
- Understand AI Concepts Topics like natural language processing, responsible AI, and knowledge mining come up frequently. Spend time on the Azure AI Search and OpenAI services to gain confidence.
- Coding Knowledge: While the AI-102 exam doesn’t require extensive coding, expect some questions involving C# or Python code snippets.
- Focused Study Sessions: Plan focused study blocks over weekends to keep the momentum. “Monk mode” learning – immersive, intense study periods – can help, especially if time is limited.
Good luck in passing the Azure AI-102 exam and achieving AI-102 certification!