Generative AI using Azure OpenAI ChatGPT for Beginners Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
An excellent beginner’s course to start building and experimenting with Generative AI using Microsoft Azure OpenAI tools. This course is structured to guide learners through setting up Azure resources, using Azure OpenAI Studio, and building simple AI-powered applications. With approximately 4 hours of focused content, the course combines foundational knowledge with hands-on practice, ensuring beginners can confidently begin working with generative models on Azure.
Module 1: Introduction to Azure OpenAI Service
Estimated time: 0.5 hours
- Overview of Azure's integration with OpenAI models
- Understanding generative AI and its applications
- Key differences between OpenAI’s native platform and Azure’s offering
- Introduction to GPT, DALL·E, and Codex models
Module 2: Setting Up Your Azure Environment
Estimated time: 0.75 hours
- Creating an Azure account and navigating the portal
- Provisioning an Azure OpenAI resource
- Understanding pricing, quotas, and access configuration
- Securing API keys and managing access
Module 3: Working with Azure OpenAI Studio
Estimated time: 1 hour
- Navigating the Azure OpenAI Studio interface
- Running prompts with GPT models
- Testing and optimizing prompt performance
- Analyzing model outputs and adjusting parameters
Module 4: Exploring DALL·E & Codex on Azure
Estimated time: 1 hour
- Generating images using DALL·E via Azure OpenAI
- Customizing image generation prompts
- Using Codex for code generation and software automation
- Integrating Codex into development workflows
Module 5: Building Simple AI Apps with Azure APIs
Estimated time: 1 hour
- Connecting applications to Azure OpenAI using API keys
- Building a basic chatbot or content generator
- Creating an image generation web interface
- Use cases: chatbots, content creators, and AI tools
Module 6: Responsible AI & Governance on Azure
Estimated time: 0.5 hours
- Understanding Microsoft’s responsible AI framework
- Implementing built-in safeguards and content filters
- Best practices for ethical and compliant AI usage
Prerequisites
- Basic understanding of cloud computing concepts
- Familiarity with web applications and APIs
- Access to a Microsoft Azure account (free tier available)
What You'll Be Able to Do After
- Understand the fundamentals of Generative AI using Azure OpenAI Service
- Deploy and interact with models like GPT, DALL·E, and Codex via Azure
- Provision Azure resources for AI model deployment
- Use Azure OpenAI Studio for prompt design, testing, and optimization
- Build beginner-friendly applications using Generative AI on Azure