Azure AI for Developers: OpenAI Services and Generative AI Models
1h 6mIntermediate2025-05-12
Authors

Sammy Deprez
Course details
OpenAI models are disrupting the tech scene in revolutionary ways. Every day, more and more people are talking about OpenAI and the capabilities it has. It’s important to understand how this service works, what the dangers are, and most importantly, how you can use it to simplify your life or enhance your business. In this course, Data and AI Solution Architect Sammy Deprez introduces you to Azure OpenAI services and dives into the models that are available, such as chat and completion models, embedding models, and image generation models. Find out what each model type is and how it works, and explore recommendations on the best way to use it. Plus, go over copyright issues and learn how to combine models so that you can start building your own solutions.
Learning objectives
Identify the types of models available and when to use them.
Enhance skills with prompt engineering.
Gain familiarity with Azure AI Foundry and OpenAI Studio.
Learning objectives
Identify the types of models available and when to use them.
Enhance skills with prompt engineering.
Gain familiarity with Azure AI Foundry and OpenAI Studio.
Skills covered
Azure OpenAI ServiceCloud AdministrationGenerative AICloud PlatformsArtificial Intelligence (AI)Cloud ComputingMicrosoftDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Unlocking your AI potential with Azure OpenAI Service
- 02 - What you should know
1. Introduction to Azure OpenAI Service
- 03 - What is Azure OpenAI Service
- 04 - Azure OpenAI vs. OpenAI Service
- 05 - Deploying Azure OpenAI Service
- 06 - Azure AI Foundry - Quick tour
- 07 - Azure AI Foundry - Model catalog
- 08 - Azure AI Foundry - Playground
- 09 - What kind of models are available
2. Chat Completion Models
- 10 - How do GPT models work
- 11 - What can GPT models do
- 12 - Which model should I choose
- 13 - The important role of prompt engineering
3. Embedding Models
- 14 - What are embeddings
- 15 - Model capabilities
- 16 - How to use embeddings for a semantic search
4. Image Generation Models
- 17 - What are DALL E models
- 18 - How image generation models work
- 19 - Examples of use cases
5. Audio Models
- 20 - What are audio models
- 21 - Converting speech to text
- 22 - Converting text to speech
- 23 - Audio chat with a chat model
Conclusion
- 24 - Be careful
- 25 - More ideas
Related courses
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- Complete Guide to Azure AI for ML Engineers by Microsoft Press
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- Exploring Data Science with .NET using Polyglot Notebooks & ML.NET
- Azure AI for Developers: Building AI Agents
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Related learn paths
- Build AI Products Using Azure AI Services in Your Development Lifecycle
- Understanding Generative AI for Tech Leaders
- Foundational AI Skills for Azure Administration
- Master Retrieval-Augmented Generation (RAG)
- Advance Your Data Skills in Apache Spark
- Prepare for the Microsoft Azure AI Fundamentals (AI-900) Certification
- Become an IT Security Specialist
- Fundamentals to Become a Machine Learning Engineer