What you'll learn:
- Understand the core concepts of AI, machine learning, and generative AI in the context of Azure.
- Plan, build, deploy, and manage AI solutions using Azure AI Foundry services.
- Select and implement the appropriate Azure service for solutions involving: Generative AI, Computer Vision, Natural language processing.
- Develop Python programs that interact with Azure AI services and APIs.
- Fine-tune models, apply prompt engineering, and implement RAG (Retrieval-Augmented Generation) solutions.
Version 1.1
Below are the updates made to the course
Practice Quizzes at the end of every section – reinforce knowledge and test your readiness along the way.
Updated videos featuring the latest GPT-5 model – stay ahead with the most current AI advancements. These updates were made to the videos pertaining to Section 2 of the course.
Brand-new videos on the Responses API and tools – learn how to apply OpenAI's latest capabilities in real scenarios. These updates are available in Section 2 of the course
All-new Project Section (Major Update!) – a complete real-world project where you’ll:
Build and manage knowledge bases
Write code to interact with the knowledge base
Host solutions on Azure which include Azure Functions, Storage accounts and Docker containers
Work extensively with Azure AI Search
And much more…
Course Description
This project will not only help you review key exam concepts but also give you hands-on experience that mirrors real industry applications—making your learning practical, actionable, and career-ready.
Unlock your potential and step confidently into the world of AI with our AI-102: Azure AI Engineer Associate Exam Preparation Course! Whether you’re aiming for the prestigious Microsoft certification or looking to elevate your career by mastering Azure AI, this course gives you the edge you need.
This hands-on, beginner-friendly program goes beyond just theory — you’ll learn how to design, build, and deploy real-world AI solutions using Microsoft Azure. From generative AI and computer vision to natural language processing, speech, and knowledge mining, you’ll discover how to harness the full power of Azure AI services to create intelligent, impactful applications.
With clear explanations, practical Python coding examples, and guided labs, you’ll gain the confidence to solve real-world challenges while also preparing for exam success. You’ll also learn how to implement responsible AI practices, apply prompt engineering, fine-tune models, and integrate solutions into production environments seamlessly.
If you’re a developer, data professional, or an aspiring AI engineer looking to future-proof your skills and showcase your expertise, this course is for you. By the end, you’ll be ready to pass the AI-102 exam — and even more importantly, to build solutions that make a difference.
Start your journey today — your future in AI starts here!
